METHODS FOR DEVELOPING PERSONALIZED DRUG TREATMENT PLANS AND TARGETED DRUG DEVELOPMENT BASED ON PROTEOMIC PROFILES

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of priority of US Provisional Application No.

62/215,852, filed September 9, 2015, which is incorporated by reference herein in its entirety for any purpose.

FIELD

The present invention relates to developing customized therapies for a disease or condition in a subject. In particular, the present invention relates to aptamer-based compositions and methods for identifying, modulating and monitoring drug targets in an individual with a disease or condition, and further composition and methods for identifying and selecting protein targets for drug development.

BACKGROUND

Oncogenes have become the central concept in understanding cancer biology and may provide valuable targets for therapeutic drugs. In many types of human tumors, including lymphomas and leukemias, oncogenes are over-expressed and may be associated with tumorigenicity (Tsujimoto et al, Science 228: 1440-1443 [1985]). For instance, high levels of expression of the human bcl-2 gene have been found in all lymphomas with a t(14; 18) chromosomal translocations including most follicular B cell lymphomas and many large cell non-Hodgkin's lymphomas. High levels of bcl-2 gene expression have also been found in certain leukemias that do not have a t(14; 18) chromosomal translation, including most cases of chronic lymphocytic leukemia acute, many lymphocytic leukemias of the pre-B cell type,

neuroblastomas, nasophryngeal carcinomas, and many adenocarcinomas of the prostate, breast and colon. (Reed et al, Cancer Res. 51 :6529 [1991] ; Yunis et al., New England J. Med.

320: 1047; Campos et al., Blood 81 :3091 -3096 [1993] ; McDonnell et al, Cancer Res. 52:6940- 6944 [1992); Lu et al, Int. J. Cancer 53:29-35 [1993] ; Bonner et al, Lab Invest. 68:43 A [1993] . Other oncogenes include TGF-. alpha., c-ki-ras, ras, her-2 and c-myc.

Gene expression, including oncogene expression, can be inhibited by molecules that interfere with promoter function. Accordingly, the expression of oncogenes may be inhibited by single stranded oligonucleotides. Cancer treatment typically includes chemotherapeutic agents and often radiation therapy. In many cases, however, the current treatments are not efficacious or do not cure the cancer. Consequently, there is a need for more effective cancer treatments.

For example, lung cancer remains the leading cause of cancer death in industrialized countries. About 75 percent of lung cancer cases are categorized as non-small cell lung cancer (e.g. , adenocarcinomas), and the other 25 percent are small cell lung cancer. Lung cancers are characterized in to several stages, based on the spread of the disease. In stage I cancer, the tumor is only in the lung and surrounded by normal tissue. In stage II cancer, cancer has spread to nearby lymph nodes. In stage III, cancer has spread to the chest wall or diaphragm near the lung, or to the lymph nodes in the mediastinum (the area that separates the two lungs), or to the lymph nodes on the other side of the chest or in the neck. This stage is divided into IIIA, which can usually be operated on, and stage IIIB, which usually cannot withstand surgery. In stage IV, the cancer has spread to other parts of the body.

Most patients with non-small cell lung cancer (NSCLC) present with advanced stage disease, and despite recent advances in multi-modality therapy, the overall ten-year survival rate remains dismal at 8-10% (Fry et al , Cancer 86: 1867 [1999]). However, a significant minority of patients, approximately 25-30%, with NSCLC have pathological stage I disease and are usually treated with surgery alone. While it is known that 35-50% of patients with stage I disease will relapse within five years (Williams et al , Thorac. Cardiovasc. Surg. 82:70 [1981]; Pairolero et al. , Ann, Thorac. Surg. 38:331 [1984]), it is not currently possible to identify which specific patients are at high risk of relapse.

Adenocarcinoma is currently the predominant histologic subtype of NSCLC (Fry et al , supra; Kaisermann et al , Brazil Oncol. Rep. 8: 189 [2001]; Roggli et al , Hum. Pathol. 16:569 [1985]). While histopathological assessment of primary lung carcinomas can roughly stratify patients, there is still an urgent need to identify those patients who are at high risk for recurrent or metastatic disease by other means. Previous studies have identified a number of preoperative variables that impact survival of patients with NSCLC (Gail et al, Cancer 54: 1802 1984];

Takise et al , Cancer 61 :2083 [1988]; Ichinose et al, J. Thorac. Cardiovasc. Surg. 106:90

[1993]; Harpole et al , Cancer Res. 55: 1995]). Tumor size, vascular invasion, poor

differentiation, high tumor proliferate index, and several genetic alterations, including K-ras (Rodenhuis et al , N. Engl. J. Med. 317:929 [1987]; Slebos et al , N. Engl. J. Med. 323:561 [1990]) and p53 (Harpole et al, supra; Horio et al, Cancer Res. 53: 1 [1993]) mutation, have been reported as prognostic indicators.

Tumor stage is an important predictor of patient survival, however, much variability in outcome is not accounted for by stage alone, as is observed for stage I lung adenocarcinoma which has a 65-70% five-year survival (Williams et al, supra; Pairolero et al, supra). Current therapy for patients with stage I disease usually consists of surgical resection and no additional treatment (Williams et al , supra; Pairolero et al , supra). The identification of a high-risk group among patients with stage I disease would lead to consideration of additional therapeutic intervention for this group, as well as leading to improved survival of these patients.

There is a need for additional diagnostic and treatment options, particularly treatments customized to a patient's tumor.

SUMMARY

The present invention relates to customized cancer therapy. In particular, the present invention relates to aptamer-based compositions and methods for identifying, modulating and monitoring drug targets in individual cancers.

For example, in some embodiments, the present disclosure provides a method for identifying protein targets, comprising: a) assaying a biological sample from a subject diagnosed with a disease to identify altered levels of one or more proteins relative to the level of the protein in a reference sample; and b) identifying one or more treatments that targets one or more of the proteins with altered expression. The present disclosure is not limited to particular protein targets. In some embodiments, targets are identified by screening samples for levels of protein expression and comparing the levels to normal (e.g., disease-free) tissue (e.g., using aptamer technology described herein). The invention is not limited by the target identified (e.g., using aptamer technology described herein. In some embodiments, the proteins are selected from, for example, those shown in Tables 6 and 7 or AGER, THBS2, CA3, MMP12, PIGR, DCN, PGAM1, CD36, FABP, ACP5, CCDC80, PPBP, LYVE1, STC1, SPON1, IL17RC, MMP1, CA1, SERPINC1, TPSB2, CKB/CKBM, NAMPT/PBEF, PPBP/CTAPIII, F9, DCTPP1, F5, SPOCK2, CAT, PF4, MDK, BGN, CKM, POSTN, PGLYRP1, or CXCL12. In some embodiments, the reference sample is a sample of normal tissue from the subject, or a population average of normal tissue. In some embodiments, the level of the proteins are altered at least 2-fold (e.g., at least 4-fold, at least 5-fold, at least 10-fold, at least 15-fold, at least 20- fold, at least 25-fold, at least 30-fold, at least 40-fold, at least 50-fold, at least 60-fold, at least 70-fold, at least 80-fold, at least 90-fold, at least 100-fold, or more). In some embodiments, the level of the proteins are altered at least fold 0.5-fold to 0.01-fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold). In some embodiments, the method further comprises the step of administering the one or more treatments to the subject. In some embodiments, the method further comprises the step of determining the presence of mutations in the proteins. In some embodiments, the disease is, for example, a cancer (e.g., leukemia, lymphoma, prostate cancer, lung cancer, breast cancer, liver cancer, colorectal cancer, kidney cancer, etc.), a metabolic disorder, an inflammatory disease, or an infectious disease. In some embodiments, the biological sample is selected from, for example, tissue, whole blood, leukocytes, peripheral blood mononuclear cells, buffy coat, plasma, serum, sputum, tears, mucus, nasal washes, nasal aspirate, breath, urine, semen, saliva, peritoneal washings, ascites, cystic fluid, meningeal fluid, amniotic fluid, glandular fluid, pancreatic fluid, lymph fluid, pleural fluid, cytological fluid, nipple aspirate, bronchial aspirate, bronchial brushing, synovial fluid, joint aspirate, organ secretions, cells, a cellular extract, or cerebrospinal fluid. In some embodiments, the drug is, for example, those described herein. In some embodiments, the assaying comprises contacting a sample with a plurality of aptamers specific for the proteins.

Further embodiments provide a method for determining a treatment course of action, comprising: a) assaying a tissue sample from a subject diagnosed with cancer (e.g., lung cancer) to identify altered levels of one or more proteins selected from, for example, AGER, THBS2, CA3, MMP12, PIGR, DCN, PGAM1, CD36, FABP, ACP5, CCDC80, PPBP, LYVE1, STC1, SPON1, IL17RC, MMP1, CA1, SERPINC1, TPSB2, CKB/CKBM, NAMPT/PBEF,

PPBP/CTAPIII, F9, DCTPP1, F5, SPOCK2, CAT, PF4, MDK, BGN, CKM, POSTN,

PGLYRP1, CXCL12, or a protein shown in Table 6 or 7, relative to the level of the proteins in normal tissue (e.g., normal lung tissue); and b) administering one or more treatments that targets one or more of the proteins with altered expression.

Additional embodiment provide a method for treating a disease, comprising: a) assaying a biological sample from a subject diagnosed with a disease to identify altered levels of one or more proteins relative to the level of the protein in a reference sample; and b) administering one or more treatments that target one or more of the proteins with altered expression to the subject.

Further embodiment provide a method for treating a disease, comprising: a) assaying a biological sample from a subject diagnosed with a disease to identify altered levels of one or more proteins relative to the level of the protein in a reference sample; and b) administering one or more treatments that target one or more of the proteins with altered expression to the subject; and c) repeating the step of assaying the biological sample from a subject diagnosed with a disease to identify altered levels of one or more proteins relative to the level of the protein in a reference sample.

Yet other embodiments provide a method for monitoring treating of a disease, comprising: a) assaying a biological sample from a subject diagnosed with a disease to identify altered levels of one or more proteins relative to the level of the protein in a reference sample; b) administering one or more treatments that target one or more of the proteins with altered expression to the subject; and c) repeating step a) one or more times. Still further embodiments provide a method for screening test compounds, comprising: a) assaying a biological sample from a subject diagnosed with a disease to identify altered levels of one or more proteins relative to the level of the protein in a reference sample; b)

administering one or more test compounds that target or are suspected of targeting one or more of the proteins with altered expression to the subject; and c) repeating step a) one or more times.

The foregoing and other objects, features, and advantages of the invention will become more apparent from the following detailed description, which proceeds with reference to the accompanying figures. BRIEF DESCRIPTION OF THE DRAWINGS

Figure 1 depicts a dendrogram showing proteins with at least one example of having a 10-fold change (up or down) for tumor tissue to healthy tissue. The data are clustered based on the change in protein level. The tree is labeled by SampleID:Histology (Adeno/Squamous) to show that the two different tumor types (adenocarcinoma and squamous cell carcinoma) do not separate from each other based on protein levels. SamplelD indicates the patient sample.

Figure 2 depicts a dendrogram showing proteins with at least one example of having a 10-fold change (up or down) for tumor tissue to healthy tissue. The data are clustered based on the change in protein level. The tree is labeled by SampleID:Mutation Status, and shows that the samples do not group by mutational status. WT means that no mutations were found out of those tested. ND means mutation profiling was not performed. Those with no mutation listing means the status is unknown. SamplelD indicates the patient sample.

Figure 3 shows a comparison of mRNA expression levels for adeno or squamous tumors versus the protein levels. The data are derived from two different sources: mRNA expression data had adeno and squamous tumors. mRNA levels were averaged across all studies. Protein expression levels were derived from a separate source. Each point represents a single protein and corresponding mRNA. The box in the middle represents those mRNAs and proteins that were removed because they were not at least 2-fold up or down relative to control for either mRNA level or protein level. The boxed dots are those that were not considered to be significantly different in tumor versus normal for both mRNA and protein.

Figure 4 shows pictographs generated plotting the relative protein expression levels shown in relative fluorescence units (RFU) vs. age (years) of subjects in both non-Duchene muscular dystrophy (DMD) and DMD boys for several proteins that are different between the control and the DMD subjects. DETAILED DESCRIPTION

The present invention relates to customized cancer therapy. In particular, the present invention relates to aptamer-based compositions and methods for identifying, modulating and monitoring drug targets in individual cancers.

The confluence of genomics technologies and the awareness of cancers as diseases driven by somatic and inherited mutations have led to a hope that a combination of pathology and cancer genomics will provide personalized decisions regarding therapeutic interventions. An enormous effort, funded largely by the NCI, will deepen the sequencing of tumor genomes to see major and common drivers of the disease as well as minor groups of cells whose additional somatic mutations will determine prognostics and treatment choices.

Work by others has had a profound impact on the ways one considers tumor genetics. These scientists painstakingly created mouse strains in which transposon mutagenesis is easily induced, and thus driver mutations and subsequent required mutations can be studied for mouse tumor development. The body of work from the Copeland/Jenkins labs is enormous and important. One may conclude from their work that a tumor that requires several mutations on the tumorigenesis pathway can easily suffer those mutations in several different kinetic stages, and single driver mutations can elaborate tumors through different subsequent mutations that take the tumor into different physiological and biochemical states.

The scientific community, through CPTAC, has begun an analysis of tissue proteomics alongside genomics through the TCGA and others. Eight institutions in the United States were funded to do largely Mass Spectrometry as a way into the proteomic phenotypes of cancers, which noted that protein expression was not well correlated with mRNA levels of DNA copy numbers.

Historically cancers have been described as derived from a tissue of origin - lung cancer, prostate cancer, breast cancer, etc. However, to date, it has not been possible to identify, in real time, all of part of a tumor proteome of cancer (e.g., in order to identify and/or characterize protein involvement within individual tumors and cancers).

Embodiments of the present disclosure provide systems and method for identifying proteins with altered expression in individual tumors. The systems and methods provide customized drug targets and individualized therapies for cancer.

I. Definitions

Unless otherwise noted, technical terms are used according to conventional usage.

Definitions of common terms in molecular biology may be found in Benjamin Lewin, Genes V, published by Oxford University Press, 1994 (ISBN 0-19-854287-9); Kendrew et al. (eds.), The Encyclopedia of Molecular Biology, published by Blackwell Science Ltd., 1994 (ISBN 0-632- 02182-9); and Robert A. Meyers (ed.), Molecular Biology and Biotechnology: a Comprehensive Desk Reference, published by VCH Publishers, Inc., 1995 (ISBN 1-56081-569-8).

In order to facilitate review of the various embodiments of the disclosure, the following explanations of specific terms are provided:

Aptamer: The term aptamer, as used herein, refers to a non-naturally occurring nucleic acid that has a desirable action on a target molecule. A desirable action includes, but is not limited to, binding of the target, catalytically changing the target, reacting with the target in a way that modifies or alters the target or the functional activity of the target, covalently attaching to the target (as in a suicide inhibitor), and facilitating the reaction between the target and another molecule.

Analog: The term analog, as used herein, refers to a structural chemical analog as well as a functional chemical analog. A structural chemical analog is a compound having a similar structure to another chemical compound but differing by one or more atoms or functional groups. This difference may be a result of the addition of atoms or functional groups, absence of atoms or functional groups, the replacement of atoms or functional groups or a combination thereof. A functional chemical analog is a compound that has similar chemical, biochemical and/or pharmacological properties. The term analog may also encompass S and R stereoisomers of a compound.

Bioactivity: The term bioactivity, as used herein, refers to one or more intercellular, intracellular or extracellular process (e.g., cell-cell binding, ligand-receptor binding, cell signaling, etc.) which can impact physiological or pathophysiological processes.

C-5 Modified Pyrimidine: C-5 modified pyrimidine, as used herein, refers to a pyrimidine with a modification at the C-5 position. Examples of a C-5 modified pyrimidine include those described in U.S. Pat. Nos. 5,719,273 and 5,945,527. Additional examples are provided herein.

Consensus Sequence: Consensus sequence, as used herein, refers to a nucleotide sequence that represents the most frequently observed nucleotide found at each position of a series of nucleic acid sequences subject to sequence alignment.

Covalent Bond: Covalent bond or interaction refers to a chemical bond that involves the sharing of at least a pair of electrons between atoms.

Modified: The term modified (or modify or modification) and any variations thereof, when used in reference to an oligonucleotide, means that at least one of the four constituent nucleotide bases (i.e., A, G, T/U, and C) of the oligonucleotide is an analog or ester of a naturally occurring nucleotide. Modulate: The term modulate, as used herein, means to alter the expression level of a peptide, protein or polypeptide by increasing or decreasing its expression level relative to a reference expression level, and/or alter the stability and/or activity of a peptide, protein or polypeptide by increasing or decreasing its stability and/or activity level relative to a reference stability and/or activity level.

Non-covalent Bond: Non-covalent bond or non-covalent interaction refers to a chemical bond or interaction that does not involve the sharing of pairs of electrons between atoms.

Examples of non-covalent bonds or interactions includes hydrogen bonds, ionic bonds

(electrostatic bonds), van der Waals forces and hydrophobic interactions.

Nucleic Acid: Nucleic acid, as used herein, refers to any nucleic acid sequence containing DNA, RNA and/or analogs thereof and may include single, double and multi- stranded forms. The terms "nucleic acid", "oligo", "oligonucleotide" and "polynucleotide" may be used interchangeably.

Pharmaceutically Acceptable: Pharmaceutically acceptable, as used herein, means approved by a regulatory agency of a federal or a state government or listed in the U.S.

Pharmacopoeia or other generally recognized pharmacopoeia for use in animals and, more particularly, in humans.

Pharmaceutically Acceptable Salt: Pharmaceutically acceptable salt or salt of a compound (e.g., aptamer), as used herein, refers to a product that contains an ionic bond and is typically produced by reacting the compound with either an acid or a base, suitable for administering to an individual. A pharmaceutically acceptable salt can include, but is not limited to, acid addition salts including hydrochlorides, hydrobromides, phosphates, sulphates, hydrogen sulphates, alkylsulphonates, arylsulphonates, arylalkylsulfonates, acetates, benzoates, citrates, maleates, fumarates, succinates, lactates, and tartrates; alkali metal cations such as Li, Na, K, alkali earth metal salts such as Mg or Ca, or organic amine salts.

Pharmaceutical Composition: Pharmaceutical composition, as used herein, refers to formulation comprising a pharmaceutical agent (e.g., drug) in a form suitable for administration to an individual. A pharmaceutical composition is typically formulated to be compatible with its intended route of administration. Examples of routes of administration include, but are not limited to, oral and parenteral, e.g., intravenous, intradermal, subcutaneous, inhalation, topical, transdermal, transmucosal, and rectal administration.

SELEX: The term SELEX, as used herein, refers to generally to the selection for nucleic acids that interact with a target molecule in a desirable manner, for example binding with high affinity to a protein; and the amplification of those selected nucleic acids. SELEX may be used to identify aptamers with high affinity to a specific target molecule. The term SELEX and "SELEX process" may be used interchangeably.

Sequence Identity: Sequence identity, as used herein, in the context of two or more nucleic acid sequences is a function of the number of identical nucleotide positions shared by the sequences (i.e., % identity=number of identical positions/total number of positionsχ 100), taking into account the number of gaps, and the length of each gap that needs to be introduced to optimize alignment of two or more sequences. The comparison of sequences and determination of percent identity between two or more sequences can be accomplished using a mathematical algorithm, such as BLAST and Gapped BLAST programs at their default parameters (e.g., Altschul et al, J. Mol. Biol. 215:403, 1990; see also BLASTN at

www.ncbi.nlm.nih.gov/BLAST). For sequence comparisons, typically one sequence acts as a reference sequence to which test sequences are compared. When using a sequence comparison algorithm, test and reference sequences are input into a computer, subsequence coordinates are designated if necessary, and sequence algorithm program parameters are designated. The sequence comparison algorithm then calculates the percent sequence identity for the test sequence(s) relative to the reference sequence, based on the designated program parameters. Optimal alignment of sequences for comparison can be conducted, e.g., by the local homology algorithm of Smith and Waterman, Adv. Appl. Math., 2:482, 1981, by the homology alignment algorithm of Needleman and Wunsch, J. Mol. Biol, 48:443, 1970, by the search for similarity method of Pearson and Lipman, Proc. Nat'l. Acad. Sci. USA 85:2444, 1988, by computerized implementations of these algorithms (GAP, BESTFIT, FASTA, and TFASTA in the Wisconsin Genetics Software Package, Genetics Computer Group, 575 Science Dr., Madison, Wis.), or by visual inspection (see generally, Ausubel, F. M. et al, Current Protocols in Molecular Biology, pub. by Greene Publishing Assoc. and Wiley- Interscience (1987)). As used herein, when describing the percent identity of a nucleic acid, such as an aptamer, the sequence of which is at least, for example, about 95% identical to a reference nucleotide sequence, it is intended that the nucleic acid sequence is identical to the reference sequence except that the nucleic acid sequence may include up to five point mutations per each 100 nucleotides of the reference nucleic acid sequence. In other words, to obtain a desired nucleic acid sequence, the sequence of which is at least about 95% identical to a reference nucleic acid sequence, up to 5% of the nucleotides in the reference sequence may be deleted or substituted with another nucleotide, or some number of nucleotides up to 5% of the total number of nucleotides in the reference sequence may be inserted into the reference sequence (referred to herein as an insertion). These mutations of the reference sequence to generate the desired sequence may occur at the 5' or 3' terminal positions of the reference nucleotide sequence or anywhere between those terminal positions, interspersed either individually among nucleotides in the reference sequence or in one or more contiguous groups within the reference sequence.

SOMAmer: The term SOMAmer, as used herein, refers to an aptamer having improved off-rate characteristics. SOMAmers are alternatively referred to as Slow Off-Rate Modified Aptamers, and may be selected via the improved SELEX methods described in U.S. Publication No. 20090004667, entitled "Method for Generating Aptamers with Improved Off-Rates", which is incorporated by reference in its entirety.

Spacer Sequence: Spacer sequence, as used herein, refers to any sequence comprised of small molecule(s) covalently bound to the 5'-end, 3'-end or both 5'and 3' ends of the nucleic acid sequence of an aptamer. Exemplary spacer sequences include, but are not limited to, polyethylene glycols, hydrocarbon chains, and other polymers or copolymers that provide a molecular covalent scaffold connecting the consensus regions while preserving aptamer binding activity. In certain aspects, the spacer sequence may be covalently attached to the aptamer through standard linkages such as the terminal 3' or 5' hydroxyl, 2' carbon, or base modification such as the C5-position of pyrimidines, or C8 position of purines.

Target Molecule: Target molecule (or target), as used herein, refers to any compound or molecule upon which a nucleic acid can act in a desirable manner (e.g., binding of the target, catalytically changing the target, reacting with the target in a way that modifies or alters the target or the functional activity of the target, covalently attaching to the target (as in a suicide inhibitor), and facilitating the reaction between the target and another molecule). Non-limiting examples of a target molecule include a protein, peptide, nucleic acid, carbohydrate, lipid, polysaccharide, glycoprotein, hormone, receptor, antigen, antibody, virus, pathogen, toxic substance, substrate, metabolite, transition state analog, cofactor, inhibitor, drug, dye, nutrient, growth factor, cell, tissue, any portion or fragment of any of the foregoing, etc. Virtually any chemical or biological effector may be a suitable target. Molecules of any size can serve as targets. A target can also be modified in certain ways to enhance the likelihood or strength of an interaction between the target and the nucleic acid. A target may also include any minor variation of a particular compound or molecule, such as, in the case of a protein, for example, variations in its amino acid sequence, disulfide bond formation, glycosylation, lipidation, acetylation, phosphorylation, or any other manipulation or modification, such as conjugation with a labeling component, which does not substantially alter the identity of the molecule. A "target molecule" or "target" is a set of copies of one type or species of molecule or

multimolecular structure that is capable of binding to an aptamer. "Target molecules" or "targets" refer to more than one such set of molecules. Unless otherwise explained, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The singular terms "a," "an," and "the" include plural referents unless context clearly indicates otherwise. "Comprising A or B" means including A, or B, or A and B. It is further to be understood that all base sizes or amino acid sizes, and all molecular weight or molecular mass values, given for nucleic acids or polypeptides are approximate, and are provided for description.

Further, ranges provided herein are understood to be shorthand for all of the values within the range. For example, a range of 1 to 50 is understood to include any number, combination of numbers, or sub-range from the group consisting 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, or 50 (as well as fractions thereof unless the context clearly dictates otherwise). Any concentration range, percentage range, ratio range, or integer range is to be understood to include the value of any integer within the recited range and, when appropriate, fractions thereof (such as one tenth and one hundredth of an integer), unless otherwise indicated. Also, any number range recited herein relating to any physical feature, such as polymer subunits, size or thickness, are to be understood to include any integer within the recited range, unless otherwise indicated. As used herein, "about" or "consisting essentially of mean ± 20% of the indicated range, value, or structure, unless otherwise indicated. As used herein, the terms "include" and "comprise" are open ended and are used synonymously. It should be understood that the terms "a" and "an" as used herein refer to "one or more" of the enumerated components. The use of the alternative (e.g., "or") should be understood to mean either one, both, or any combination thereof of the alternatives

Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present disclosure, suitable methods and materials are described below. All publications, patent applications, patents, and other references mentioned herein are incorporated by reference in their entirety. In case of conflict, the present

specification, including explanations of terms, will control. In addition, the materials, methods, and examples are illustrative only and not intended to be limiting.

II. Detection Methods

Embodiments of the present disclosure provide methods for detecting protein levels in biological samples. The present disclosure is illustrated with aptamer detection technology. However, the present disclosure is not limited to aptamer detection technology. Any suitable detection method (e.g., immunoassay, mass spectrometry, histological or cytological methods, etc.) is suitable for use herein.

In some embodiments, aptamer based assays involve the use of a microarray that includes one or more aptamers immobilized on a solid support. The aptamers are each capable of binding to a target molecule in a highly specific manner and with very high affinity. See, e.g., U.S. Patent No. 5,475,096 entitled "Nucleic Acid Ligands"; see also, e.g., U.S. Patent No.

6,242,246, U.S. Patent No. 6,458,543, and U.S. Patent No. 6,503,715, each of which is entitled "Nucleic Acid Ligand Diagnostic Biochip". Once the microarray is contacted with a sample, the aptamers bind to their respective target molecules present in the sample and thereby enable a determination of a biomarker level corresponding to a biomarker.

Aptamers for use in the disclosure may include up to about 100 nucleotides, up to about 95 nucleotides, up to about 90 nucleotides, up to about 85 nucleotides, up to about 80 nucleotides, up to about 75 nucleotides, up to about 70 nucleotides, up to about 65 nucleotides, up to about 60 nucleotides, up to about 55 nucleotides, up to about 50 nucleotides, up to about 45 nucleotides, up to about 40 nucleotides, up to about 35 nucleotides, up to about 30 nucleotides, up to about 25 nucleotides, and up to about 20 nucleotides.

In another aspect of this disclosure, the aptamer has a dissociation constant (Kd) for its target of about 10 nM or less, about 15 nM or less, about 20 nM or less, about 25 nM or less, about 30 nM or less, about 35 nM or less, about 40 nM or less, about 45 nM or less, about 50 nM or less, or in a range of about 3- 10 nM (or 3, 4, 5, 6, 7, 8, 9 or 10 nM.

An aptamer can be identified using any known method, including the SELEX process. Once identified, an aptamer can be prepared or synthesized in accordance with any known method, including chemical synthetic methods and enzymatic synthetic methods.

The terms "SELEX" and "SELEX process" are used interchangeably herein to refer generally to a combination of (1) the selection of aptamers that interact with a target molecule in a desirable manner, for example binding with high affinity to a protein, with (2) the

amplification of those selected nucleic acids. The SELEX process can be used to identify aptamers with high affinity to a specific target or biomarker.

SELEX generally includes preparing a candidate mixture of nucleic acids, binding of the candidate mixture to the desired target molecule to form an affinity complex, separating the affinity complexes from the unbound candidate nucleic acids, separating and isolating the nucleic acid from the affinity complex, purifying the nucleic acid, and identifying a specific aptamer sequence. The process may include multiple rounds to further refine the affinity of the selected aptamer. The process can include amplification steps at one or more points in the process. See, e.g., U.S. Patent No. 5,475,096, entitled "Nucleic Acid Ligands". The SELEX process can be used to generate an aptamer that covalently binds its target as well as an aptamer that non-covalently binds its target. See, e.g., U.S. Patent No. 5,705,337 entitled "Systematic Evolution of Nucleic Acid Ligands by Exponential Enrichment: Chemi-SELEX."

The SELEX process can be used to identify high-affinity aptamers containing modified nucleotides that confer improved characteristics on the aptamer, such as, for example, improved in vivo stability or improved delivery characteristics. Examples of such modifications include chemical substitutions at the ribose and/or phosphate and/or base positions. SELEX process- identified aptamers containing modified nucleotides are described in U.S. Patent No. 5,660,985, entitled "High Affinity Nucleic Acid Ligands Containing Modified Nucleotides", which describes oligonucleotides containing nucleotide derivatives chemically modified at the 5'- and 2'-positions of pyrimidines. U.S. Patent No. 5,580,737, see supra, describes highly specific aptamers containing one or more nucleotides modified with 2'-amino (2'-NH2), 2'-fluoro (2'-F), and/or 2'-0-methyl (2'-OMe). See also, U.S. Patent Application Publication No. 2009/0098549, entitled "SELEX and PHOTOSELEX", which describes nucleic acid libraries having expanded physical and chemical properties and their use in SELEX and photoSELEX.

SELEX can also be used to identify aptamers that have desirable off-rate characteristics. See U.S. Publication No. US 2009/0004667, entitled "Method for Generating Aptamers with Improved Off-Rates", which describes improved SELEX methods for generating aptamers that can bind to target molecules. Methods for producing aptamers and photoaptamers having slower rates of dissociation from their respective target molecules are described. The methods involve contacting the candidate mixture with the target molecule, allowing the formation of nucleic acid-target complexes to occur, and performing a slow off-rate enrichment process wherein nucleic acid-target complexes with fast dissociation rates will dissociate and not reform, while complexes with slow dissociation rates will remain intact. Additionally, the methods include the use of modified nucleotides in the production of candidate nucleic acid mixtures to generate aptamers with improved off-rate performance. In some embodiments, an aptamer comprises at least one nucleotide with a modification, such as a base modification. In some embodiments, an aptamer comprises at least one nucleotide with a hydrophobic modification, such as a hydrophobic base modification, allowing for hydrophobic contacts with a target protein. Such hydrophobic contacts, in some embodiments, contribute to greater affinity and/or slower off-rate binding by the aptamer.

In some embodiments, an aptamer comprises at least two, at least three, at least four, at least five, at least six, at least seven, at least eight, at least nine, or at least 10 nucleotides with hydrophobic modifications, where each hydrophobic modification may be the same or different from the others. In some embodiments, a slow off-rate aptamer (including an aptamers comprising at least one nucleotide with a hydrophobic modification) has an off-rate (t½) of > 30 minutes, > 60 minutes, > 90 minutes, > 120 minutes, > 150 minutes, > 180 minutes, > 210 minutes, or > 240 minutes.

In some embodiments, an assay employs aptamers that include photoreactive functional groups that enable the aptamers to covalently bind or "photocrosslink" their target molecules. See, e.g., U.S. Patent No. 6,544,776 entitled "Nucleic Acid Ligand Diagnostic Biochip". These photoreactive aptamers are also referred to as photoaptamers. See, e.g., U.S. Patent No.

5,763,177, U.S. Patent No. 6,001,577, and U.S. Patent No. 6,291,184, each of which is entitled "Systematic Evolution of Nucleic Acid Ligands by Exponential Enrichment: Photoselection of Nucleic Acid Ligands and Solution SELEX"; see also, e.g., U.S. Patent No. 6,458,539, entitled "Photoselection of Nucleic Acid Ligands". After the microarray is contacted with a sample and the photoaptamers have had an opportunity to bind to their target molecules, the photoaptamers are photoactivated, and the solid support is washed to remove any non-specifically bound molecules. Harsh wash conditions may be used, since target molecules that are bound to the photoaptamers are generally not removed, due to the covalent bonds created by the

photoactivated functional group(s) on the photoaptamers. In this manner, the assay enables the detection of a biomarker level corresponding to a biomarker in the sample.

In some assay formats, the aptamers are immobilized on the solid support prior to being contacted with the sample. Under certain circumstances, however, immobilization of the aptamers prior to contact with the sample may not provide an optimal assay. For example, pre- immobilization of the aptamers may result in inefficient mixing of the aptamers with the target molecules on the surface of the solid support, perhaps leading to lengthy reaction times and, therefore, extended incubation periods to permit efficient binding of the aptamers to their target molecules. Further, when photoaptamers are employed in the assay and depending upon the material utilized as a solid support, the solid support may tend to scatter or absorb the light used to effect the formation of covalent bonds between the photoaptamers and their target molecules. Moreover, depending upon the method employed, detection of target molecules bound to their aptamers can be subject to imprecision, since the surface of the solid support may also be exposed to and affected by any labeling agents that are used. Finally, immobilization of the aptamers on the solid support generally involves an aptamer-preparation step (i.e., the immobilization) prior to exposure of the aptamers to the sample, and this preparation step may affect the activity or functionality of the aptamers.

Aptamer assays or "aptamer based assay(s)" that permit an aptamer to capture its target in solution and then employ separation steps that are designed to remove specific components of the aptamer-target mixture prior to detection have also been described {see U.S. Publication No. 2009/0042206, entitled "Multiplexed Analyses of Test Samples"). The described aptamer assay methods enable the detection and quantification of a non-nucleic acid target (e.g., a protein target) in a test sample by detecting and quantifying a nucleic acid (i.e., an aptamer). The described methods create a nucleic acid surrogate (i.e., the aptamer) for detecting and quantifying a non-nucleic acid target, thus allowing the wide variety of nucleic acid

technologies, including amplification, to be applied to a broader range of desired targets, including protein targets.

Aptamers can be constructed to facilitate the separation of the assay components from an aptamer biomarker complex (or photoaptamer biomarker covalent complex) and permit isolation of the aptamer for detection and/or quantification. In one embodiment, these constructs can include a cleavable or releasable element within the aptamer sequence. In other embodiments, additional functionality can be introduced into the aptamer, for example, a labeled or detectable component, a spacer component, or a specific binding tag or immobilization element. For example, the aptamer can include a tag connected to the aptamer via a cleavable moiety, a label, a spacer component separating the label, and the cleavable moiety. In one embodiment, a cleavable element is a photocleavable linker. The photocleavable linker can be attached to a biotin moiety and a spacer section, can include an NHS group for derivatization of amines, and can be used to introduce a biotin group to an aptamer, thereby allowing for the release of the aptamer later in an assay method.

Homogenous assays, done with all assay components in solution, do not require separation of sample and reagents prior to the detection of signal. These methods are rapid and easy to use. These methods generate signal based on a molecular capture or binding reagent that reacts with its specific target. In some embodiments of the methods described herein, the molecular capture reagents comprise an aptamer or an antibody or the like and the specific target may be a biomarker shown in Example 1.

In some embodiments, a method for signal generation takes advantage of anisotropy signal change due to the interaction of a fluorophore-labeled capture reagent with its specific biomarker target. When the labeled capture reacts with its target, the increased molecular weight causes the rotational motion of the fluorophore attached to the complex to become much slower changing the anisotropy value. By monitoring the anisotropy change, binding events may be used to quantitatively measure the biomarkers in solutions. Other methods include fluorescence polarization assays, molecular beacon methods, time resolved fluorescence quenching, chemiluminescence, fluorescence resonance energy transfer, and the like. An exemplary solution-based aptamer assay that can be used to detect a biomarker level in a biological sample includes the following: (a) preparing a mixture by contacting the biological sample with an aptamer that includes a first tag and has a specific affinity for the biomarker, wherein an aptamer affinity complex is formed when the biomarker is present in the sample; (b) exposing the mixture to a first solid support including a first capture element, and allowing the first tag to associate with the first capture element; (c) removing any components of the mixture not associated with the first solid support; (d) attaching a second tag to the biomarker component of the aptamer affinity complex; (e) releasing the aptamer affinity complex from the first solid support; (f) exposing the released aptamer affinity complex to a second solid support that includes a second capture element and allowing the second tag to associate with the second capture element; (g) removing any non-complexed aptamer from the mixture by partitioning the non-complexed aptamer from the aptamer affinity complex; (h) eluting the aptamer from the solid support; and (i) detecting the biomarker by detecting the aptamer component of the aptamer affinity complex. For example, protein concentration or levels in a sample may be expressed as relative fluorescence units (RFU), which may be a product of detecting the aptamer component of the aptamer affinity complex (e.g., aptamer complexed to target protein create the aptamer affinity complex). That is, for an aptamer-based assay, the protein concentration or level correlates with the RFU.

A nonlimiting exemplary method of detecting biomarkers in a biological sample using aptamers is described in Kraemer et al, PLoS One 6(10): e26332.

Aptamers may contain modified nucleotides that improve it properties and

characteristics. Non-limiting examples of such improvements include, in vivo stability, stability against degradation, binding affinity for its target, and/or improved delivery characteristics.

Examples of such modifications include chemical substitutions at the ribose and/or phosphate and/or base positions of a nucleotide. SELEX process-identified aptamers containing modified nucleotides are described in U.S. Pat. No. 5,660,985, entitled "High Affinity Nucleic Acid Ligands Containing Modified Nucleotides," which describes oligonucleotides containing nucleotide derivatives chemically modified at the 5'- and 2'-positions of pyrimidines. U.S. Pat. No. 5,580,737, see supra, describes highly specific aptamers containing one or more nucleotides modified with 2'-amino (2'— NH ₂ ), 2'-fluoro (2'-F), and/or 2'-0-methyl (2'-OMe). See also, U.S. Patent Application Publication No. 20090098549, entitled "SELEX and PHOTOSELEX," which describes nucleic acid libraries having expanded physical and chemical properties and their use in SELEX and photoSELEX. Specific examples of a C-5 modification include substitution of deoxyuridine at the C-5 position with a substituent independently selected from: benzylcarboxyamide (alternatively benzylaminocarbonyl) (Bn), naphthylmethylcarboxyamide (alternatively

naphthylmethylaminocarbonyl) (Nap), tryptaminocarboxyamide (alternatively

tryptaminocarbonyl) (Trp), and isobutylcarboxyamide (alternatively isobutylaminocarbonyl) (iBu) as illustrated immediately below.

Chemical modifications of a C-5 modified pyrimidine can also be combined with, singly or in any combination, 2'-position sugar modifications, modifications at exocyclic amines, and substitution of 4-thiouridine and the like.

Representative C-5 modified pyrimidines include: 5-(N-benzylcarboxyamide)- 2'- deoxyuridine (BndU), 5-(N-benzylcarboxyarnide)-2'-0-methyluridine, 5-(N- benzylcarboxyamide)-2'-fluorouridine, 5-(N-isobu†ylcarboxyamide)-2'-deoxyuridine

(iBudU), 5-(K-isobufylcarboxyamide)-2'-0-methyluridine, 5-(N-isobutylcarboxyamide)-2'- fluorouridine, 5-(N-tryptaminocarboxy ami de)-2'-deoxyuri dine (TrpdU), 5-(N- tiyptaminocarboxyarnide)-2'-0-methyluridine, 5-(N-tiyptandnocarboxyamide)-2'-fluorouridine, 5- (N- [ 1 - (3 -trimethylamonium) propyl] carboxyamide)-2'-deoxyuridine chloride, 5-(N- naphthylmethylcarboxyamide)-2'-deoxyuridine (NapdU), 5-(N-naphthylmethylcarboxyamide)- 2'-0-methyluridine, 5-(N-naphthylmethylcarboxyamide)-2'-fluorouridine or 5-(N-[l-(2,3- dihydroxypropyl)]carboxyamide)-2'-deoxyuridine).

If present, a modification to the nucleotide structure can be imparted before or after assembly of the polynucleotide. A sequence of nucleotides can be interrupted by non-nucleotide components. A polynucleotide can be further modified after polymerization, such as by conjugation with a labeling component.

Additional non-limiting examples of modified nucleotides (e.g., C-5 modified pyrimidine) that may be incorporated into the nucleic acid sequences of the present disclosure include the following:

Base ~ Uiidine (U) or CyiidiaeCC) (attachment is to ilse 5-p sition) K = R' gro»p plus (0¾)» comiec-ifsg group, where o ^~ 0-3

R' is defined as follows:

it *~C!1< tfjO H !t:i. Cf!

·

.j ,T < ^" L ^» r f } c †¾

.o

^' .A. · CH>

..-P

OH o Nk ^" k

.N

!it., NHS Vk"tr

And, R", R" and R"" are defined as follows:

wherein "" is selected from the group consisting of a branched or linear lower alky! (CI.- €20); halogen (F, Ci Br, I); nitrile (CN); boromc acid (BO2H2); carboxylic add

(COOfi); earboxylie acid ester iCOOR"); primary amide (CONE?); secondary amide (CONH "); tertiary amide (CONRIO; sulfonamide (S0 ₂ Ni¾); N- aikylsulfoaamide (SONHR* ). wherein

R", R ^m are independently selected from a group consisting of a branched or linear lower alkyi (C1-C2)); phenyl (C¾H«); an R*~ substituted phenyl ring (R""QH ₄ );

wherein R"" is defined above; a earboxylie acid (COOH); a earboxylie acid ester (COOR'""}; wherein R ^m " in a branched or linear lower alkyi. (CI-C2Q); and

cycloalkyl; wherein R" - R"' - (0¾ _χ ; wherein n -2-10.

Further, C-5 modified pyrimidine nucleotides include the following:

In some embodiments, the modified nucleotide confers nuclease resistance to the oligonucleotide. A pyrimidine with a substitution at the C-5 position is an example of a modified nucleotide. Modifications can include backbone modifications, methylations, unusual base-pairing combinations such as the isobases isocytidine and isoguanidine, and the like. Modifications can also include 3' and 5' modifications, such as capping. Other modifications can include substitution of one or more of the naturally occurring nucleotides with an analog, intemucleotide modifications such as, for example, those with uncharged linkages (e.g., methyl phosphonates, phosphotriesters, phosphoamidates, carbamates, etc.) and those with charged linkages (e.g. , phosphorothioates, phosphorodithioates, etc.), those with intercalators (e.g., acridine, psoralen, etc.), those containing chelators (e.g., metals, radioactive metals, boron, oxidative metals, etc.), those containing alkylators, and those with modified linkages (e.g., alpha anomeric nucleic acids, etc.). Further, any of the hydroxyl groups ordinarily present on the sugar of a nucleotide may be replaced by a phosphonate group or a phosphate group; protected by standard protecting groups; or activated to prepare additional linkages to additional nucleotides or to a solid support. The 5' and 3' terminal OH groups can be phosphorylated or substituted with amines, organic capping group moieties of from about 1 to about 20 carbon atoms, polyethylene glycol (PEG) polymers in one embodiment ranging from about 10 to about 80 kDa, PEG polymers in another embodiment ranging from about 20 to about 60 kDa, or other hydrophilic or hydrophobic biological or synthetic polymers. In one embodiment, modifications are of the C-5 position of pyrimidines. These modifications can be produced through an amide linkage directly at the C-5 position or by other types of linkages.

Polynucleotides can also contain analogous forms of ribose or deoxyribose sugars that are generally known in the art, including 2'-0-methyl-, 2'-0-allyl, 2'-fluoro- or 2'-azido-ribose, carbocyclic sugar analogs, a-anomeric sugars, epimeric sugars such as arabinose, xyloses or lyxoses, pyranose sugars, furanose sugars, sedoheptuloses, acyclic analogs and abasic nucleoside analogs such as methyl riboside. As noted above, one or more phosphodiester linkages may be replaced by alternative linking groups. These alternative linking groups include embodiments wherein phosphate is replaced by P(0)S ("thioate"),

P(S)S ("dithioate"), (0)NR ₂ ("amidate"), P(0)R, P(0)OR', CO or CH ₂ ("formacetal"), in which each R or R' is independently H or substituted or unsubstituted alkyl (1 -20 C) optionally containing an ether (-0-) linkage, aryl, alkenyl, cycloalky, cycloalkenyl or araldyl. Not all linkages in a polynucleotide need be identical. Substitution of analogous forms of sugars, purines, and pyrimidines can be advantageous in designing a final product, as can alternative backbone structures like a polyamide backbone, for example.

The following examples are provided to illustrate certain particular features and/or embodiments. These examples should not be construed to limit the disclosure to the particular features or embodiments described.

The present disclosure provides kits comprising aptamers described herein. Such kits can comprise, for example, (1) at least one aptamer for identification of a protein target; and (2) at least one pharmaceutically acceptable carrier, such as a solvent or solution. Additional kit components can optionally include, for example: (1) any of the pharmaceutically acceptable excipients identified herein, such as stabilizers, buffers, etc., (2) at least one container, vial or similar apparatus for holding and/or mixing the kit components; and (3) delivery apparatus.

III. Personalized Therapeutic and Research Uses

In some embodiments, the present disclosure provides systems and methods for identifying proteins with altered expression in subjects with disease relative to subjects that do not have the disease. In some embodiments, proteins with altered expression serve as targets for drug screening and therapeutic applications. For example, in some embodiments, customized treatment is provided that is individualized to the proteomic profile of an individual subject's disease.

In some embodiments, proteins with altered expression are identified as targets for drug discovery. In some embodiments, proteins with existing drugs that target them are identified and such drugs are administered (alone or in combination with other drugs) to a subject. Thus, in some embodiments, the present disclosure provides customized treatment for a disease or condition.

In some embodiments, protein expression is compared to a reference sample from a disease-free subject or population of subjects. In some embodiments, the reference sample is sample of normal tissue from the subject, or a population average of normal tissue. In some embodiments, the level of the proteins is altered at least 2-fold (e.g., at least 4-fold, at least 5- fold, at least 10-fold, at least 20-fold, at least 50-fold, at least 100-fold, or more).

The present disclosure is suitable for identification of altered protein expression (e.g., using the assays described herein) in a variety of sample types. Examples include, but are not limited to, tissue, whole blood, leukocytes, peripheral blood mononuclear cells, buffy coat, plasma, serum, sputum, tears, mucus, nasal washes, nasal aspirate, breath, urine, semen, saliva, peritoneal washings, ascites, cystic fluid, meningeal fluid, amniotic fluid, glandular fluid, pancreatic fluid, lymph fluid, pleural fluid, cytologic fluid, nipple aspirate, bronchial aspirate, bronchial brushing, synovial fluid, joint aspirate, organ secretions, cells, a cellular extract, or cerebrospinal fluid.

The present disclosure is not limited to the identification of targets for a particular disease. In some embodiments, the disease is, for example, a cancer, a neoplasm, a tumor, and/or a metastatic form therein, a metabolic disorder, an inflammatory disease, or an infectious disease. In some embodiments, the cancer, neoplasm, tumor, or metastatic form therein is, for example, leukemia, lymphoma, prostate cancer, lung cancer, breast cancer, liver cancer, colorectal cancer, or kidney cancer. In some embodiments, the disease is lung cancer and the drug targets are one or more of AGER, THBS2, CA3, MMP12, PIGR, DCN, PGAM1, CD36, FABP, ACP5, CCDC80, PPBP, LYVE1, STC1, SPON1, IL17RC, MMP1, CA1, SERPINC1, TPSB2, CKB/CKBM, NAMPT/PBEF, PPBP/CTAPIII, F9, DCTPP1, F5, SPOCK2, CAT, PF4, MDK, BGN, CKM, POSTN, PGLYRP1, or CXCL12. In some embodiments, the drug targets and drugs are those shown in Tables 6 and 7.

In some embodiments, a computer-based analysis program is used to translate the raw data generated by the detection assay (e.g. , the presence, absence, or amount of a given marker or markers) into data of value for a clinician (e.g., drug targets or drug(s) selection). The clinician can access the data using any suitable means. Thus, in some preferred embodiments, the present invention provides the further benefit that the clinician, who is not likely to be trained in genetics or molecular biology, need not understand the raw data. The data is presented directly to the clinician in its most useful form. The clinician is then able to immediately utilize the information in order to optimize the care of the subject.

The present invention contemplates any method capable of receiving, processing, and transmitting the information to and from laboratories conducting the assays, information providers, medical personal, and subjects. For example, in some embodiments of the present invention, a sample (e.g. , a biopsy or other sample) is obtained from a subject and submitted to a profiling service (e.g. , clinical lab at a medical facility, genomic profiling business, etc.), located in any part of the world (e.g., in a country different than the country where the subject resides or where the information is ultimately used) to generate raw data. Where the sample comprises a tissue or other biological sample, the subject may visit a medical center to have the sample obtained and sent to the profiling center, or subjects may collect the sample themselves (e.g. , a urine sample) and directly send it to a profiling center. Where the sample comprises previously determined biological information, the information may be directly sent to the profiling service by the subject (e.g. , an information card containing the information may be scanned by a computer and the data transmitted to a computer of the profiling center using an electronic communication systems). Once received by the profiling service, the sample is processed and a profile is produced (e.g. , protein expression data), specific for the diagnostic, therapeutic, or prognostic information desired for the subject.

The profile data is then prepared in a format suitable for interpretation by a treating clinician. For example, rather than providing raw expression data, the prepared format may represent a suggested treatment course of action (e.g. , specific drugs for administration). The data may be displayed to the clinician by any suitable method. For example, in some embodiments, the profiling service generates a report that can be printed for the clinician (e.g. , at the point of care) or displayed to the clinician on a computer monitor.

In some embodiments, the information is first analyzed at the point of care or at a regional facility. The raw data is then sent to a central processing facility for further analysis and/or to convert the raw data to information useful for a clinician or patient. The central processing facility provides the advantage of privacy (all data is stored in a central facility with uniform security protocols), speed, and uniformity of data analysis. The central processing facility can then control the fate of the data following treatment of the subject. For example, using an electronic communication system, the central facility can provide data to the clinician, the subject, or researchers.

In some embodiments, the subject is able to directly access the data using the electronic communication system. The subject may chose further intervention or counseling based on the results. In some embodiments, the data is used for research use. For example, the data may be used to further optimize the inclusion or elimination of markers as useful indicators of a treatment outcome or for drug discovery.

Some exemplary biomarkers and drugs that target the altered expression of the biomarker are described herein (See e.g., WO 2010/0028288; herein incorporated by reference in its entirety. The markers and drugs described herein are not limiting. Additional markers and drugs are specifically contemplated.

For example, in some embodiment, c-kit (also known as CD117, KIT, PBT, SCFR), Bcr- Abl fusion, platelet derived growth factor receptor (PDGFR), are targeted with imatinib mesylate (Gleevec); PDGFR is targeted with Sutent (Sunitib or SUI 1248), a receptor tyrosine kinase inhibitor; secreted protein acidic and rich in cysteine (SPARC; also known as ON, osteonectin) is targeted with Abraxane; HSP90 (also known as HSPN; LAP2; HSP86; HSPC1; HSPCA; Hsp89; HSP89A; HSP90A; HSP90N; HSPCAL1; HSPCAL4; FLB1884; HSP90AA1) is targeted with CNF2024 (BIIB021); MGMT (0-6-methylguanine-DNA methyltransferase) is targeted with temozolomide (Temodar, Temodal); HER2 (also known as ERBB2, NED, NGL, TKRl, CD340, HER-2, HER-2/neu) is targeted with trastuzumab (Herceptin); human epidermal growth factor receptor 1 (also known as HER1, EGFR, ERBB, mENA,ERBBl, PIG61) is targeted with Erlotinib (Tarceva), gefitinib, panitumumab (Vectibix), lapatinib, or cetuximab (Erbitux); vascular endothelial growth factor (VEGF) is targeted with Bevacizumab (Avastin); ER (also known as estrogen receptor; ESR; Era; ESRA; NR3A1; DKFZp686N23 123; ESRl) is targeted with hormonal therapeutics (e.g., ER blockers such as tamoxifen, or aromatase inhibitors, such as anastrozole); PR (also known as progesterone receptor; NR3C3; PGR) is targeted with is targeted with hormonal therapeutics (e.g., ER blockers such as tamoxifen, or aromatase inhibitors, such as anastrozole ); vras and Kras are targeted with bevacizumab (Avastin); TOPOl (also known as DNA topoisomerase; TOPI; TOPI) is targeted with fluorouracil (5-FU; F5U; Adrucil) with or without irinotecan or oxaliplatin; Phosphatase and Tensin Homolog (PTEN) is targeted with cetuximab (Erbitux) or panitumumab (Vectibix); PIK3CA is targeted with cetuximab (Erbitux) or panitumumab (Vectibix); Kras (also known as v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog; NS3; KRAS1; KRAS2; RASK2; KI- RAS; C-K-RAS; K-RAS2A; K-RAS2B; K-RAS4A; K-RAS4B) is targeted with bevacizumab (Avastin), cetuximab (Erbitux), erlotinib (Tarceva), gefitinib (Iressa), or panitumumab

(Vectibix); Nrf2 (also known as nuclear factor (erythroid-derived 2)-like 2; NFE2L2) is targeted with doxorubicin (Adriamycin); DPD (also known as dihydropyrimidine dehydrogenase; DHP; DHPDHASE; MGC70799; MGC 132008; DPYD) is targeted with fluorouracil (5-FU); OPRT (also known as uridine monophosphate synthetase; UMPS uridine monophosphate synthase; OPRtase; OMPdecase; UMP synthase; orotidine 5'-phosphate decarboxylase; orotate phosphoribosyltransferase phosphoribosyltransferase; orotate phosphoribosyl transferase;

orotidine-5'decarboxylase) is targeted with 5-FU; TS (also known as thymidylate synthetase; TMS; TSase; HsT422; MGC88736; TYMS) is targeted with 5-FU; BRAF is targeted with cetuximab (Erbitux) or panitumumab (Vectibix); thymidylate synthase is targeted with 5-FU; or those described in Tables 6 or 7.

The present disclosure further provides for a method for identifying one or more patient subpopulations from a plurality of patients diagnosed with the same disease or condition, the method comprising: detecting the level of one or more proteins in a biological sample from each patient of the plurality of patients; comparing the level of the one or more proteins from each patient within the plurality of patients, and identifying one or more patient subpopulations, wherein each patient subpopulation of the one or more patient subpopulations is distinguished from another patient subpopulation based on the difference in the level of the one or more proteins, and wherein the difference in the level of the one or more proteins is selected from the group consisting of at least from 2-fold to 100-fold (or 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99 or 100) and at least from 0.5-fold to 0.01-fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold).

The present disclosure further provides for a method for selecting one or more drugs to treat a subject having a disease or condition, the method comprising: acquiring knowledge of the level of one or more proteins in a biological sample from the subject, wherein at least one of the one or more proteins is a drug target; and selecting one or more drugs to treat the subject based on the level of the one or more proteins, wherein at least one drug of the one or more drugs is a drug to at least one of the one or more proteins. In another aspect, the selecting one or more drugs to treat the subject is based on the difference in the level of the one or more proteins from the subject compared to the level of the respective one or more proteins from a reference biological sample, subj ect or population, and wherein the difference is at least from 2-fold to 100-fold (or 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 , 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 , 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 , 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91 , 92, 93, 94, 95, 96, 97, 98, 99 or 100 fold).

In another aspect, the selecting one or more drugs to treat the subject is based on the difference in the level of the one or more proteins from the subject compared to the level of the respective one or more proteins from a reference biological sample, subj ect or population, and wherein the difference is at least from 0.5-fold to 0.01 -fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold).

In another aspect, the method further comprises administering the one or more drugs to the subject, thereby treating the disease or condition in the subject.

In another aspect, the method further comprises selecting the one or more drugs to treat the subject based on acquiring knowledge of one or more complete or partial gene sequences of the subject.

In another aspect, the method further comprises selecting the one or more drugs to treat the subject based on acquiring knowledge of one or more genetic mutations from the subject.

In another aspect, the disease or condition is selected from the group consisting of a cancer, a metabolic disorder, an inflammatory disease and an infectious disease.

In another aspect, the biological sample is selected from the group consisting of whole blood, leukocytes, peripheral blood mononuclear cells, buffy coat, plasma, serum, sputum, tears, mucus, nasal washes, nasal aspirate, breath, urine, semen, saliva, peritoneal washings, ascites, cystic fluid, meningeal fluid, amniotic fluid, glandular fluid, pancreatic fluid, lymph fluid, pleural fluid, cytologic fluid, nipple aspirate, bronchial aspirate, bronchial brushing, synovial fluid, joint aspirate, organ secretions, cells, a cellular extract and cerebrospinal fluid.

The present disclosure further provides for method for selecting one or more drugs to treat a subject having a disease or condition, the method comprising: detecting the level of one or more proteins in a biological sample from the subject, wherein, at least one of the one or more proteins is a drug target; and selecting one or more drugs to treat the subject based on the level of the one or more proteins, wherein at least one drug of the one or more drugs is a drug to at least one of the one or more proteins. In another aspect, the selecting one or more drugs to treat the subject is based on the difference in the level of the one or more proteins from the subject compared to the level of the respective one or more proteins from a reference biological sample, subject or population, wherein the difference is at least from 2-fold to 100-fold (or 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 , 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 , 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 , 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91 , 92, 93, 94, 95, 96, 97, 98, 99 or 100 fold). In another aspect, the selecting one or more drugs to treat the subject is based on the difference in the level of the one or more proteins from the subject compared to the level of the respective one or more proteins from a reference biological sample, subject or population, and wherein the difference is at least from 0.5-fold to 0.01 -fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold).

In another aspect, the method further comprises administering the one or more drugs to the subject, thereby treating the disease or condition in the subject.

In another aspect, the method further comprises selecting the one or more drugs to treat the subject based on acquiring knowledge of one or more complete or partial gene sequences of the subject.

In another aspect, the method further comprises selecting the one or more drugs to treat the subject based on acquiring knowledge of one or more genetic mutations from the subj ect.

In another aspect, the disease or condition is selected from the group consisting of a cancer, a metabolic disorder, an inflammatory disease and an infectious disease.

In another aspect, the biological sample is selected from the group consisting of whole blood, leukocytes, peripheral blood mononuclear cells, buffy coat, plasma, serum, sputum, tears, mucus, nasal washes, nasal aspirate, breath, urine, semen, saliva, peritoneal washings, ascites, cystic fluid, meningeal fluid, amniotic fluid, glandular fluid, pancreatic fluid, lymph fluid, pleural fluid, cytologic fluid, nipple aspirate, bronchial aspirate, bronchial brushing, synovial fluid, joint aspirate, organ secretions, cells, a cellular extract and cerebrospinal fluid.

In another aspect, the detecting the level of one or more proteins in a biological samples is performed by an assay selected from the group consisting of an aptamer-based assay, an antibody based assay and a mass spectrometry assay.

The present disclosure further provides for a treatment plan for a subject having a disease or condition comprising: one or more drugs, wherein the selection of the one or more drugs is based on the level of one or more proteins, wherein at least one of the one or more proteins is a drug target, and wherein at least one drug of the one or more drugs is a drug to at least one of the one or more proteins; and administering the one or more drugs to the subject, thereby treating the disease or condition in the subject.

In another aspect, the selecting one or more drugs to treat the subject is based on the difference in the level of the one or more proteins from the subject compared to the level of the respective one or more proteins from a reference biological sample, subject or population, wherein the difference is at least from 2-fold to 100-fold (or 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99 or 100 fold). In another aspect, the selecting one or more drugs to treat the subject is based on the difference in the level of the one or more proteins from the subject compared to the level of the respective one or more proteins from a reference biological sample, subject or population, and wherein the difference is at least from 0.5-fold to 0.01 -fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold).

In another aspect, the method further comprises administering the one or more drugs to the subject, thereby treating the disease or condition in the subject.

In another aspect, the method further comprises selecting the one or more drugs to treat the subject based on acquiring knowledge of one or more complete or partial gene sequences of the subject.

In another aspect, the method further comprises selecting the one or more drugs to treat the subject based on acquiring knowledge of one or more genetic mutations from the subject.

In another aspect, the disease or condition is selected from the group consisting of a cancer, a metabolic disorder, an inflammatory disease and an infectious disease.

In another aspect, the biological sample is selected from the group consisting of whole blood, leukocytes, peripheral blood mononuclear cells, buffy coat, plasma, serum, sputum, tears, mucus, nasal washes, nasal aspirate, breath, urine, semen, saliva, peritoneal washings, ascites, cystic fluid, meningeal fluid, amniotic fluid, glandular fluid, pancreatic fluid, lymph fluid, pleural fluid, cytologic fluid, nipple aspirate, bronchial aspirate, bronchial brushing, synovial fluid, joint aspirate, organ secretions, cells, a cellular extract and cerebrospinal fluid.

In another aspect, the detecting the level of one or more proteins in a biological samples is performed by an assay selected from the group consisting of an aptamer-based assay, an antibody based assay and a mass spectrometry assay.

In another aspect, the one or more drugs is selected from the group consisting of 4- Aminosalicylic_acid, Abatacept, Abciximab, Acetaminophen, Acetazolamide,

Acetohydroxamic acid, Adalimumab, Adenine, Adenosine monophosphate, Adenosine_triphosphate, Afatinib, Aflibercept, Alclometasone, Aldesleukin, Alefacept, Alemtuzumab, Aliskiren, Alpha l -antitrypsin, Alteplase, Aluminium, Amcinonide, Amiloride Aminocaproic acid, Aminophylline, Amitriptyline, Amlodipine, Amrinone, Anagrelide, Anakinra, Anistreplase, Antihemophilic F actor, Antrafenine, Apixaban, Aprotinin, Ardeparin, Argatroban, Arsenic_trioxide, Aspirin, Atorvastatin, Auranofin, Avanafil, Axitinib, Bacitracin Balsalazide, Basiliximab, Becaplermin, Beclometasone dipropionate, Belatacept, Belimumab, Bendroflumethiazide, Betamethasone, Bevacizumab, Bivalirudin, Bosutinib,

Brentuximab vedotin, Brinzolamide, Bromfenac, Budesonide, Cabozantinib, Canakinumab, Capecitabine, Capromab, Captopril, Carbidopa, Carbimazole, Carprofen, Carvedilol, Cefazolin, Cefdinir, Celecoxib, Certolizumab_pegol, Cetuximab, Chloramphenicol, Chloroquine,

Chlorothiazide, Chlorotrianisene, Ciclesonide, Cilostazol, Clenbuterol, Clobetasol_propionate, Clocortolone, Clomifene, Clomipramine, Cortisone_acetate, Creatine, Cyclosporine,

Cysteamine, Dabigatran, Dacarbazine, Daclizumab, Dalteparin sodium, Danazol,

Darbepoetin alfa, Dasatinib, Denileukin diftitox, Denosumab, Desogestrel, Desonide,

Desoximetasone, Dexamethasone, Dextrothyroxine, Diazoxide, Dichlorphenamide, Diclofenac, Dienestrol, Diethylstilbestrol, Diflorasone, Diflunisal, Difluprednate, Dipyridamole, Docetaxel, Dorzolamide, Drotrecogin alfa, Eculizumab, Efalizumab, Eicosapentaenoic acid, Eltrombopag, Enoxaparin, Enoximone, Epoetin alfa, Eptifibatide, Equilin, Erlotinib, Erythropoietin, Estradiol Estramustine, Estriol, Estrone, Estropipate, Etanercept, Ethinamate, Ethinylestradiol,

Ethoxzolamide, Ethynodiol diacetate, Etodolac, Etonogestrel, Etoricoxib, Factor IX,

Factor VII, Fenoprofen, Filgrastim, Floxuridine, Fludrocortisone, Fludroxycortide, Flunisolide, Fluocinolone acetonide, Fluocinonide, Fluorometholone, Fluorouracil, Fluoxymesterone, Flurbiprofen, Fluticasone furoate, Fluticasone_propionate, Fluvastatin, Fomepizole,

Fondaparinux sodium, Fulvestrant, Furosemide, Gadopentetate dimeglumine, Gefitinib, Gemcitabine, Gemtuzumab ozogamicin, Ginkgo biloba, Ginseng, Gliclazide, Glucosamine, Glutathione, Golimumab, Heparin, Hyaluronidase, Hydrochlorothiazide, Hydrocortisone, Hydroxocobalamin, Ibritumomab, Ibudilast, Ibuprofen, Iloprost, Imatinib, Indomethacin, Infliximab, Ingenol mebutate, Inhaled insulin, Insulin, Insulin aspart, Insulin detemir, Insulin_glargine, Insulin_glulisine, Insulin lispro, Interferon_gamma-lb, Ipilimumab,

Irinotecan, Isoproterenol, Ketoprofen, Ketorolac, Ketotifen, Lapatinib, L-Aspartic_Acid, L- Camitine, L-Cysteine, Lenalidomide, Lepirudin, Leucovorin, Levonorgestrel, Levosimendan, Lidocaine, Lisinopril, Lithium, L-Leucine, Loperamide, Lomoxicam, Loteprednol, Lovastatin, L-Proline, Lucanthone, Lumiracoxib, Magnesium salicylate, Marimastat, Meclofenamic acid, Medroxyprogesterone, Medrysone, Mefenamic_acid, Megestrol, Melatonin, Meloxicam, Menadione, Mesalazine, Mestranol, Metformin, Methazolamide, Methimazole, Methocarbamol, Methyl_aminolevulinate, Methylprednisolone, Mifepristone, Milrinone, Mimosine,

Minocycline,

Moexipril, Mometasone, Muromonab, Mycophenolate_mofetil, Mycophenolic_acid,

Nabumetone, Naloxone, Naproxen, Natalizumab, Nedocromil, Nepafenac, Nilotinib,

Nitroxoline, Norgestimate, NPH_insulin, Ocriplasmin, Olsalazine, Oprelvekin, Ornithine, Ospemifene, Oxaprozin, Oxtriphylline, Paclitaxel, Palifermin, Paliperidone, Palivizumab, Panitumumab, Paramethasone, Pazopanib, Pegaptanib, Pegfilgrastim, Peginesatide, Pemetrexed, Pentoxifylline, Pertuzumab, Phenazone, Phenelzine, Phenformin, Phenylbutazone,

Phosphatidylserine, Piroxicam, Pitavastatin, Pomalidomide, Ponatinib, Porfimer, Pralatrexate, Pranlukast, Pravastatin, Prednicarbate, Prednisolone, Prednisone, Proflavine, Progesterone, Propylthiouracil, Pyruvic acid, Quinestrol, Quinethazone, Raloxifene, Raltitrexed,

Ranibizumab,

Rasagiline, Regorafenib, Remikiren, Reteplase, Ribavirin, Rifabutin, Rilonacept, Rimexolone, Rituximab, Rivaroxaban, Roflumilast, Romiplostim, Rosuvastatin, Ruxolitinib, Salicyclic acid, Sargramostim, Sildenafil, Simvastatin, Sirolimus, Sodium hyaluronate, Sodium salicylate, Sodium stibogluconate, Somatropin recombinant, Sorafenib, Streptokinase, Sucralfate, Sulfasalazine, Sulindac, Sulodexide, Sunitinib, Suprofen, Suramin, Tadalafil, Tamoxifen, Tenecteplase, Thalidomide, Theophylline, Tiaprofenic acid, Tiludronate, Tirofiban,

Tocilizumab, Tofacitinib, Tofisopam, Tolmetin, Topiramate, Topotecan, Toremifene,

Tositumomab, Trametinib, Tranexamic acid, Trastuzumab, Trastuzumab emtansine,

Triamcinolone, Trifluridine, Trilostane, Trimethoprim, Udenafil, Urokinase, Vandetanib, Vardenafil, Vitamin_E, Vorinostat, WF10, Ximelagatran, Zonisamide and a combination thereof.

The present disclosure further provides for a method for identifying a drug target, the method comprising: acquiring knowledge of the level of one or more proteins in a biological sample from a subject; and selecting at least one of the one or more proteins as a target for drug development; wherein, the at least one of the one or more proteins selected as a target is selected based on the difference in the level of the at least one of the one or more proteins from the biological sample from the subject compared to the level of the respective at least one of the one or more proteins from a reference biological sample, subject or population, and wherein the difference in the level of the one or more proteins is selected from the group consisting of at least from 2-fold to 100-fold (or 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99 or 100) and at least from 0.5-fold to 0.01-fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold).

In another aspect, the at least one of the one or more proteins selected as a target for drug development is not a drug target.

The present disclosure further provides for a method for identifying a drug target, the method comprising: detecting the level of one or more proteins in a biological sample from a subject; and selecting at least one of the one or more proteins as a target for drug development; wherein, the at least one of the one or more proteins selected as a target is selected based on the difference in the level of the at least one of the one or more proteins from the biological sample from the subject compared to the level of the respective at least one of the one or more proteins from a reference biological sample, subject or population, and wherein the difference in the level of the one or more proteins is selected from the group consisting of at least from 2-fold to 100-fold (or 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99 or 100) and at least from 0.5-fold to 0.01-fold (or 0.5, 0.4, 0.3, 0.2, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.02 or 0.01 fold). EXAMPLES

Example 1:

Materials and Methods

Tumor Specimens

Lung cancer tumor tissue and matched non-tumor tissue were harvested at the time of surgical resection and stored frozen in the Colorado SPORE in Lung Cancer Tissue Bank. Pathological inspection was performed on 29 of the tumor samples to determine the proportion of the tissue that contained inflammation, necrosis or stroma. The average and interquartile (IQR) range for these parameters were: inflammation 16% (IQR 5-20%), necrosis 10% (IQR 0-15%), and stroma 31% (IQR 20-40%).

Proteomic Sample Preparation and Tumor Mutation Detection

Protein lysates were prepared from 63 tumor and matched non-tumor tissue as described (Mehan 2012). Multiplexed single nucleotide extension sequencing (SNaPshot, Life Technologies), which involves multiplexed PCR, mutiplexed single-base primer extension, and capillary electrophoresis, was performed on 49 of the tumors (Doebele 2012, Su 2011). The mutations detected by the SNaPshot panel are listed in table 1.

Table 1

SNaPshot Multiplex Mutation Panel

AKT1 E17K

APC R1114*, Q1338*, R1450*, T1556NinsA

CTNNB1 D32Y, D32H, D32N, D32V, D32G, S33Y, S33F, S33C, G34V, G34E, S37P,

S37A, S37F, S37Y, S37C, T41A, T41S, T41P, T41N, T41I, S45P, S45A, S45F, S45Y, S45C

BRAF G466V, G469A, L597V, V600E, V600M

KIT D816V

EGFR G719S, G719C, G719A, del_746-750, T790M, L858R, L861Q

FLT3 D835Y

JAK2 V617F

KRAS G12R, G12S, G12D, G12V, G12A, G13D, G13A, G13S, G13R, G13C, Q61H,

Q61K, G61L, Q61R

MAP2K1 Q56P, K57N, D67N

NRAS G12S, G12R, G12C, G12D, G12A, G12V, G13S, G13R, G13C, G13D, G13A,

G13V, Q61K, Q61L, Q61R

NOTCH1 L1575Q, L1575P, H1601

PIK3CA R88Q, Q546K, Q546E, Q546R, Q546P, H1047R, H1047Y, G1049S PTEN R130G, R130*, R173C, R233*, K297fs

TP53 R175L, R175H, G245S, G245R, G245C, R248W, R248G, R248Q, R248P, R248L,

R273C, R273L, R273H, R306*

Proteomic Analysis

Tissue lysates (2ug total protein/sample) were analyzed with the SOMAscan V3 proteomic assay, which measures 1,129 proteins (Gold 2010). The SOMAscan analytes cover a broad range of proteins associated with disease physiology and biological functions, including cytokines, kinases, growth factors, proteases and their inhibitors, receptors, hormones and structural proteins (Mehan 2013). SOMAscan uses novel modified DNA aptamers called

SOMAmers to specifically bind protein targets in biologic samples (Gold 2010, Vaught 2010). All sample analyses were conducted in a Good Laboratory Practice (GLP) compliant lab at Somalogic as described (Kraemer 2011). The samples were distributed randomly in the assay and the assay operators were blinded to the identity of all samples. Microarray images were captured and processed with a microarray scanner and associated software. Each sample in the study was normalized by aligning the median of each sample to a common reference. Inter-plate and inter-run calibration was done by applying a multiplicative scaling coefficient to each SOMAmer.

Statistical Analysis

Data

All data were derived from the lung cancer tissue study known as the Lungevity study, CL-13- 012. SOMAscan data for a number of paired samples consisting of tumor tissue or presumably normal adjacent tissue were obtained. Data were selected from the raw data file for further analysis as follows:

• Some samples are duplicated and those values were averaged to produce the final data used for analysis.

• Data from the file were limited to only those tumor samples labeled as 'Adeno' or 'Squamous' and their cognate normal sample.

• Some cases exist where one or the other cognate pair is not present, and those unpaired samples were removed.

The final data collection contained 63 paired samples. Paired sample data were converted to ratios by dividing the tumor sample RFU value by the control sample RFU value.

Response Algorithm

A cutoff was defined to apply to the ratio data. Values were linked to the threshold value and change in sync with user changes. The number of samples found above or below, respectively, this threshold was calculated for each protein individually. The number of proteins found above or below, respectively, the threshold value for each sample was tabulated individually. The data table is sorted from left to right in decreasing order of the values tabulated. Effectively, this leads to an ordering of the proteins by the number of samples found outside the given threshold. The following data was then extracted:

The number of samples outside threshold (up or down) for each protein;

The number of proteins (up or down) outside threshold for each sample;

The newly ordered GeneName:SomamerID values; Annotations for each GeneName:SomamerID (sp., full protein name, drug list, and pathway information);

The newly ordered table of ratio values.

Conditional formatting is programmatically applied to the ratio data table in order to illustrate those values which are over-expressed above the threshold or under-expressed below the threshold.

Demographic Tables are shown in Tables 2-4 below

Table 2. Tumor Histology and Stage

Table 3. Mutations Identified'

*Two tumors had both PIK3CA and KRAS mutations and one tumor had both KRAS and TP53 mutations. Table 4. Patient Characteristics Median Age (IQR) 68.5 (61-76)

Gender

Male 34 (59%)

Female 24 (41%)

Tobacco User

Current 12 (22%)

Former 37 (67%)

Never 6 (11%)

Median Pack Years 45 (27-62)

(IQR)

Results

1,170 proteins were measured in two samples (NSCLC, the tumors, and adjacent healthy lung tissue) from 63 people, for a total of 63 X 2 X 1,129 = 142,254 measurements. For small tumors, the entire tumor was sampled, while for larger tumors a piece was homogenized. In some experiments, larger tumors are subdivided into samples at whatever distances are possible. Unlike antibodies, SOMAmers are identified through a variant of the SELEX method and are made of modified DNA. SOMAmers recognize conformational epitopes on the target proteins. A few of the menu SOMAmers were identified with rodent proteins that are nearly identical to their human homologue. SOMAmers are analogous to the antigen-combining sites of antibodies, they are monovalent, and they bind with high affinity and dissociate slowly from their target proteins. Spike and recovery experiments have shown that in plasma, serum, and buffer, spikes lead to higher signals in the SOMAscan assay. Pull-downs in plasma or serum with the menu SOMAmer identified the target protein by both gels and Mass Spec as the intended analyte. SOMAscan yields data in fluorescent units, such that comparisons can be made between two tissues with ease (providing Relative Fluorescent Units - RFUs - that can be compared). Standard curves are used to convert RFUs to an approximate absolute protein when desired.

Relative protein levels that are more than 4-fold up or down in the tumors compared to the healthy tissue were selected; this level of change was selected in this study because an analyte that shows more than 4-fold up or down was not considered likely to represent a "false discovery." However, the present invention is not so limited. For example, in other

embodiments, a fold change (e.g., up or down) of less than 4-fold (e.g., 3-fold, 2-fold, or lower) or more than 4-fold (e.g., 5-fold, 10-fold, 100-fold, or higher) may be used. Of the 1,129 proteins measured for 63 pairs of tissues on SOMAscan, 2 proteins were up or down 4-fold or more for 51 pairs of samples (of the 63 pairs), 2 other proteins were up or down 4-fold or more for 40 pairs of samples, 4 other proteins were up or down 4-fold or more for 30 pairs of samples, 27 other proteins were up or down 4-fold or more for 20 pairs of samples, 81 other proteins were up or down 4-fold or more for 10 pairs of samples, and 415 other proteins were up or down 4- fold or more for fewer than 10 pairs (but for at least one pair). More than 600 proteins were not up or down 4-fold or more in any pair. These data are shown in Figure 1.

A total of 35 proteins were up or down 4-fold or more in 20 pairs of tissue, with more proteins up or down in fewer sample pairs. The largest class of proteins was in no sample pair up or down 4-fold or more.

When the data was observed in heat maps of clusters to compare proteomics for mutations, pathology and stages, as well as clustering by the protein levels themselves, no obvious clusters emerge when forced by the standard definitions of NSCLC.

The top 35 proteins that distinguish NSCLC from healthy lung tissue

Of the 35 proteins which were the top biomarkers in the study (Table 5) ("top" equals the proteins that are different between tumors and healthy adjacent tissue by 4-fold or more in 20 pairs or more), two proteins distinguish between squamous cell carcinoma and adenocarcinoma. For the overwhelming majority of biomarkers, adenocarcinoma and squamous cell carcinoma appear to be very similar cancers.

No correlations were found between the mutations and the levels of these 35 proteins.

Some tumors with the same pathology and the identical KRAS mutations - in one such tumor 190 proteins were over or under expressed by four-fold or more, and in another tumor with the same pathology and KRAS mutation only 3 proteins were four-fold more or less abundant.

Table 5

Protein name N/63 Up or Down Squamous/ Adeno

AGER 51 Down Same

THBS2 51 Up Same

CA3 45 Down Same

MMP12 41 Up Same

PIGR 37 Mixed Different

DCN 35 Mixed Same

PGAM1 32 Up Same

CD36 30 Down Same

FABP* 29 Down Same ACP5 29 Down Same

CCDC80 29 Mixed Same

PPBP 28 Down Same

LYVE1 28 Down Same

STC1 28 Up Same

SPON1 27 Down Same

IL17RC 26 Down Same

MMP1 26 Up Same

CA1 25 Down Same

SERPINC1 25 Down Same

TPSB2 25 Down Same

CKB/CKBM 25 Down Same

NAMPT/PBEF 25 Up Same

PPBP/CTAPIII 23 Down Same

F9 23 Down Same

DCTPP1 23 Up Same

F5 23 Down Same

SPOCK2 23 Down Same

CAT 21 Down Same

PF4 21 Down Same

MDK 21 Up Same

BGN 21 Down Same

CKM 21 Down Same

POSTN 20 Up Same

PGLYRP1 20 Mixed Different

CXCL12 20 Down Same

Proteins that distinguish NSCLC from healthy tissue

Further analysis was conducted on proteins that show different concentrations less frequently between tumor and healthy tissue. Differences between tumors and healthy adjacent tissues were neither correlated with pathology or genetics.

Drug interventions Proteins that are elevated in individual tumors are targets for a drug (e.g., existing or new drug), whether that drug was developed for cancer or not. In some embodiments, existing drugs are utilized. In some embodiments, other proteins in the same pathways as targets identified herein are targeted.

Of the 1,129 proteins analyzed, 690 (61%) displayed at least a 4-fold difference with one or more of the paired samples. The 63 tumors displayed a continuum of the number of proteins, up or down 4-fold compared with healthy tissue, from 3 to 190.

Some of the drugs provided herein are already approved for cancer patients. Others are approved but not for cancer. Trials are designed to assess their value as individualized therapeutics. In other cases unapproved inhibitors are starting points for development of new drugs that are used for individually targeted tumors.

At the highest view of the data, both the similarities and diversities in tumor-specific expression protein concentrations were observed.

NSCLC's (and other cancer types) show common proteins that are both elevated and reduced in concentrations. These proteins are generally related to processes that drive most cancers: cell-autonomous growth rates and the ability to overcome contact inhibition, capacity to grow under limited oxygen levels as they exceed the local blood supply, defenses against immune and inflammatory surveillance, invasiveness and metastatic potential, and other processes (e.g., the capacity to utilize the lymphatic system as a source of nutrients when the blood supply is inhibited by angiogenesis intervention). Among the common proteins with elevated concentrations, proteins expected to be "ups" were not found- these expectations are summarized by the modes of actions of several cancer drugs, which turn out to not be useful, frequently, in large numbers of patients with NSCLC.

NSCLC's (and other cancer types) show elevated levels of rare proteins that allow the required cancer processes, both known and unknown. The data show that several tumors that differ in every possible way and seem to have no difficulties being a tumor by all extant definitions.

Thus, the present invention provides that, in some embodiments, the tumor proteome is independent of the pathology report and the mutations that may have caused the tumor and which may still be present - critically or not - in the tumor. The properties required for cancer growth and metastasis, are, in some embodiments, different than the properties (e.g., genes) utilized in the early stages of tumor formation. In some embodiments, the invention provides that the final proteomic state of a cancer is driven by selection in an individual and not by selection in a mouse or a petri dish; individuals present the personalized environment against which selection occurs. Accordingly, in some embodiments, the present invention provides methods for physicians and patients to obtain SOMAscan analyses of their tumors relative to the healthy tissues from which the tumor was derived. Reports to the physicians and patients include every protein that is present at altered levels relative to controls and the pathway within which that protein is found, along with drugs that antagonize or agonize the protein or pathway of interest. In some embodiments, an elevated protein is a driver of the cancer, and a drug may be available that antagonizes the protein or pathway. In some embodiments, no drug may yet be approved that antagonizes that protein or pathway, but as clinical trial for such a therapeutic NSCLC may be available. In some embodiments, an approved drug may exist aimed at that protein for a different disease - another cancer or something completely different - and in that case the physician and the patient may discuss the advantages and disadvantages of such a treatment.

In some embodiments, a patient's tumor does not display properties or characteristics of protein or pathway that may respond to a standard treatment, but does display an increase of a protein in the tumor that would be inhibited by an approved drug for NSCLC (e.g., a topoisomerase, for example, or a metalloprotease).

Tables 6 through 10 provides the protein name and corresponding UniProt identifier and any drugs that target the protein for five (5) different individuals (Subjects A, B, C, D and E). If no drugs are known to target the protein, then the table cell is left blank or contains the language "(None found)". Further provided is the fold difference in expression of each protein in the individual as determined by the protein expression level in tumor tissue versus protein expression level in normal or healthy tissue from the same individual.

Table 6 shows a protein expression profile generated using compositions and methods of the invention from a single patient (Subject A) with lung cancer (adenocarcinoma). By way of example, the protein Lactotransferrin (UniProt P02788) was found to be down-regulated in tumor tissue about 10-fold (as expressed in the table as 0.1) relative to the same protein in normal or healthy tissue from the same individual. While at this time, this protein does not have a known drug, the Lactotransferin protein may be selected for drug development based on the differential expression levels between tumor tissue and healthy tissue.

By way of example, the protein Carbonic Anhydrase I (UnitProt 00915) was found to be down-regulated in tumor tissue about 7.7-fold (as expressed in the table as 0.13) relative to the same protein in normal or healthy tissue from the same individual. The Carbonic Anhydrase I has several known drug that target this protein (e.g., Hydrochlorothiazide, Quinethazone, Benzthiazide, Diazoxide, Trichlormethiazide, Methocarbamol, Amlodipine,

Bendroflumethiazide, Brinzolamide, Dichlorphenamide, Methazolamide, Ethinamate,

Hydroflumethiazide, Acetazolamide, Cyclothiazide, Zonisamide, Ethoxzolamide, Chlorothiazide, Methyclothiazide and Dorzolamide. Consequently, this individual may be responsive to a drug treatment plan that may include one or more of the drugs identified in the table 6. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least 7-fold (or at least .14 difference), and providing a drug treatment plan based on the drugs that target this particular protein.

By way of another example, the protein Hepatocyte Growth Factor or HGF (UniProt P08581) was found to be up-regulated in tumor tissues relative to normal or healthy tissue by about 7-fold (or 6.96 fold). This protein may be targeted by the drug Cabozantinib.

Consequently, this individual may be responsive to a drug treatment plan that may include Cabozantinib. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least about 6 or 7-fold and providing a drug treatment plan based on the drugs that target this particular protein.

Table 6: Proteomic profile for a single individual (Subject A) based on proteins having at least a 4-fold difference in expression between tumor tissue and normal tissue. Based on this threshold cut-off, this individual had 57 proteins with at least a 4-fold (either up or down) difference in tumor to healthy tissue protein expression levels.

Coagulation factor Menadione,Antihemophilic Factor

P00740 0.24

IX

Tissue factor Dalteparin, Coagulation factor Vila

P 10646 0.25

pathway inhibitor

Kininogen-1,

P01042 0.25

HMW

Hepatocyte growth

P26927 factor-like protein 0.25

precursor

Serum amyloid A

P02735 4.11

protein

P24821 Tenascin 4.13

Calcium/calmoduli

n-dependent

Q13554 4.32

protein kinase type

II beta chain

Calcium/calmoduli

n-dependent

Q13557 4.51

protein kinase type

II delta chain

P21741 Midkine 5.15

Calcium/calmoduli

n-dependent

Q9UQM7 5.27

protein kinase type

II alpha chain

Leucine-rich

repeats and

Q6UXM1 immunoglobulin- 5.66

like domains

protein 3

Hepatocyte growth Cabozantinib

P08581 6.96

factor receptor

Carbonic Zonisamide

Q8N1Q1 7.42

anhydrase 13

C-type lectin

Q9UJ71 domain family 4 7.73

member K

Phosphogly cerate

P18669 12.24 mutase 1

Q07654 Trefoil factor 3 14.60

P35442 Thrombospondin-2 16.96

In summary, the general approach described above may be applied to anyone of the protein-drug combinations described in Table 6 to develop a drug treatment plan or to administer the drug or drugs to the individual based on their proteomic profile (differential protein expression levels - "up" or "down" and the fold-level of that difference). Further, the approach may be used to identify proteins that may be drug targets for the treatment of individuals or groups of individuals that may share the same protein differential expression profile or profile range (i.e., have at least about a 4-fold, 5-fold, 6-fold, 7-fold, 8-fold and up to 100-fold or more in expression difference of the same protein as between tumor tissue and healthy/normal tissue).

Table 7 shows a protein expression profile generated using compositions and methods of the invention from a single patient (Subject B) with lung cancer (adenocarcinoma). By way of example, the protein Tryptase-beta-2 (UniProt P20231) was found to be down-regulated in tumor tissue about 33-fold (as expressed in the table as 0.03) relative to the same protein in normal or healthy tissue from the same individual. While at this time, this protein does not have a known drug, the Tryptase-beta-2 protein may be selected for drug development based on the differential expression levels between tumor tissue and healthy tissue.

By way of example, the protein Carbonic Anhydrase 3 (UniProt P07451) was found to be down-regulated in tumor tissue about 25-fold (as expressed in the table as 0.04) relative to the same protein in normal or healthy tissue from the same individual. The Carbonic Anhydrase 3 has known drugs that target this protein (e.g., Zonisamide and Acetazolamide). Consequently, this individual may be responsive to a drug treatment plan that may include Zonisamide and/or Acetazolamide. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least 25-fold (or at least .04 difference), and providing a drug treatment plan based on the drugs that target this particular protein.

By way of another example, the protein C3a anaphylatoxin (UniProt P01024) was found to be up-regulated in tumor tissues relative to normal or healthy tissue by about 49-fold (or 49.04 fold). This protein may be targeted by the drug Intravenous Immunoglobulin.

Consequently, this individual may be responsive to a drug treatment plan that may include Intravenous Immunoglobulin. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least about 49-fold and providing a drug treatment plan based on the drugs that target this particular protein.

Table 7: Proteomic profile for a single individual (Subject B) based on proteins having at least a 4-fold difference in expression between tumor tissue and normal tissue. Based on this threshold cut-off, this individual had 69 proteins with at least a 4-fold (either up or down) difference in tumor to healthy tissue protein expression levels.

Protein Expression

Uniprot Protein Name: Drag List:

(Tumor/Normal)

Advanced (None found)

glycosylation end

Q15109 0.01 product-specific

receptor

P20231 Tryptase beta-2 (None found) 0.03 075144 B7 homolog 2 (None found) 4.02

Coiled-coil domain- (None found)

Q76M96 4.35 containing protein 80

Dickkopf-related (None found)

Q9UBT3 4.52 protein 4

P02741 C-reactive protein inhaled insulin 4.59

P24821 Tenascin (None found) 4.64

Brain-specific serine (None found)

Q9GZN4 4.77 protease 4

P02788 Lactotransferrin (None found) 5.04

015123 Angiopoietin-2 (None found) 5.22

Neutrophil (None found)

P80188 gelatinase-associated 5.26 lipocalin

Lipopolysaccharide- (None found)

P18428 5.39 binding protein

P09237 Matrilysin Marimastat 5.81

P0C0S5 Histone H2A.z (None found) 6.56

Matrix Captopril, Gluco samine .Minocycline ,Marimastat

P14780 6.68 metalloproteinase-9

Dickkopf-related (None found)

094907 7.19 protein 1

P08476 Inhibin beta A chain (None found) 7.90

P20160 Azurocidin (None found) 8.29

075509 Death receptor 6 (None found) 8.80

TNF-sfimulated gene (None found)

P98066 8.80

6 protein

Leukemia inhibitory (None found)

P42702 factor soluble 9.51 receptor (secreted)

Fibronectin-1 Ocriplasmin

P02751 10.22

Fragment 4

Q9HD89 Resistin (None found) 10.54

P02768 Serum albumin (None found) 10.78

Metalloproteinase (None found)

P01033 12.20 inhibitor 1

P02751 Fibronectin Ocriplasmin 12.95

Oxidized low-density (None found)

P78380 14.13 lipoprotein receptor 1

P05164 Myeloperoxidase Mesalazine,Melatonin,L-Carnitine,Cefdinir 14.42

Bactericidal (None found)

P17213 permeability- 17.67 increasing protein

Fibronectin-1 Ocriplasmin

P02751 18.73

Fragment 3

Plasminogen Anistreplase,Urokinase,Reteplase,Alteplase,Tenecte

P05121 20.02 activator inhibitor 1 plase,Drotrecogin alfa

P52823 Stanniocalcin-1 (None found) 20.90

Peptidoglycan (None found)

075594 22.73 recognition protein

P03956 MMP-1 Marimastat 23.09

Small-inducible (None found)

P02778 27.72 cytokine BIO

P35442 Thrombospondin-2 (None found) 39.69

P10145 Interleukin-8 (None found) 42.05

P01024 C3a anaphylatoxin Intravenous Immunoglobulin 49.04

Macrophage Acetohydroxamic Acid,Marimastat

P39900 116.16 metalloelastase In summary, the general approach described above may be applied to anyone of the protein-drug combinations described in Table 7 to develop a drug treatment plan or to administer the drug or drugs to the individual based on their proteomic profile (differential protein expression levels - "up" or "down" and the fold-level of that difference). Further, the approach may be used to identify proteins that may be drug targets for the treatment of individuals or groups of individuals that may share the same protein differential expression profile or profile range (i.e., have at least about a 4-fold, 5-fold, 6-fold, 7-fold, 8-fold and up to 100-fold or more in expression difference of the same protein as between tumor tissue and healthy/normal tissue).

Table 8 shows a protein expression profile generated using compositions and methods of the invention from a single patient (Subject C) with lung cancer (adenocarcinoma). By way of example, the protein Advanced glycosylation end product-specific receptor (UniProt Q15109) was found to be down-regulated in tumor tissue about 100-fold (as expressed in the table as 0.01) relative to the same protein in normal or healthy tissue from the same individual. While at this time, this protein does not have a known drug, the Advanced glycosylation end product- specific receptor protein may be selected for drug development based on the differential expression levels between tumor tissue and healthy tissue.

By way of example, the protein Coagulation Factor X (UniProt P00742) was found to be down-regulated in tumor tissue about 5-fold (as expressed in the table as 0.2) relative to the same protein in normal or healthy tissue from the same individual. The Coagulation Factor X has known drugs that target this protein (e.g., Fondaparinux sodium, Menadione, Enoxaparin, Coagulation factor Vila, Antihemophilic Factor, Rivaroxaban, Apixaban, Coagulation Factor IX and Heparin). Consequently, this individual may be responsive to a drug treatment plan that may include Zonisamide and/or Acetazolamide. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least 5-fold (or at least .2 difference), and providing a drug treatment plan based on the drugs that target this particular protein.

By way of another example, the protein Matrilysin (UniProt P09237) was found to be up-regulated in tumor tissues relative to normal or healthy tissue by about 5-fold (or 5.23 fold). This protein may be targeted by the drug Marimastat. Consequently, this individual may be responsive to a drug treatment plan that may include Marimastat. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least about 5-fold and providing a drug treatment plan based on the drugs that target this particular protein. Table 8: Proteomic profile for a single individual (Subject C) based on proteins having at least a 4-fold difference in expression between tumor tissue and normal tissue. Based on this threshold cut-off, this individual had 86 proteins with at least a 4-fold (either up or down) difference in tumor to healthy tissue protein expression levels.

P43652 Afamin (None found) 0.16

Sex hormone- (None found)

P04278 0.16 binding globulin

Vitamin inMenadione, Sodium Tetradecyl Sulfate,Drotrecogin alfa

P07225 dependent 0.16 protein S

Fibrinogen (None found)

#N/A alpha, beta, and 0.16 gamma chains

P02790 Hemopexin (None found) 0.16

Lymphatic (None found)

vessel

Q9Y5Y7 endothelial 0.16 hyaluronic acid

receptor 1

Thyroxine- (None found)

P05543 0.16 binding globulin

Q9UGM5 Fetuin-B (None found) 0.16

P27918 Properdin (None found) 0.16

Q15848 Adiponectin (None found) 0.17

Coagulation ART-123,Drotrecogin alfa

P12259 0.17

Factor V

Complement (None found)

P00751 0.17 factor B

Alkaline (None found)

phosphatase,

P05186 tissue- 0.17 nonspecific

isozyme

Streptokinase,Anistreplase,Aminocaproic

P00747 Angio statin Acid,Urokinase,Reteplase,Alteplase,Aprotinin,Tranexa 0.17 mic Acid,Tenecteplase

Histidine-rich (None found)

P04196 0.18 glycoprotein

Platelet (None found)

P16671 0.18 glycoprotein 4

Apolipoprotein E Serum albumin iodonated,Human Serum Albumin

P02649 0.18

(isoform E3)

P06681 Complement C2 (None found) 0.18

Complement Intravenous Immunoglobulin

P01024 0.18

C3b, incactivated

Interleukin-1 (None found)

Q01638 0.19 receptor-like 1

Fatty acid- (None found)

P07483 binding protein, 0.19 heart RAT

Fondaparinux

Coagulation sodium,Menadione,Enoxaparin, Coagulation factor

P00742 factor X VIIa,Antihemophilic 0.19

(activated form) Factor,Rivaroxaban,Apixab an, Coagulation Factor

IX .Heparin

Complement (None found)

P02748 0.19 component C9

Tirizaparin,Dalteparin,Nadroparin,Fondaparinux

P01008 Antithrombin-III 0.19 sodium,Sulodexide,Ardeparin,Enoxaparin,Heparin

Complement (None found)

Clq

#N/A subcomponent 0.19 subunits A, B,

and C Hepatocyte (None found)

growth factor¬

P26927 0.19 like protein

precursor

Complement (None found)

P08603 0.19 factor H

Apolipoprotein E Serum albumin iodonated,Human Serum Albumin

P02649 0.19

(isoform E2)

Creatine kinase (None found)

#N/A B-type, Creatine 0.19 kinase M-type

Kininogen-1, (None found)

P01042 0.19

HMW

Carboxypeptidas (None found)

Q96IY4 0.20 e B2

P29622 Kallistatin (None found) 0.20

Fondaparinux

sodium,Menadione,Enoxaparin, Coagulation factor

Coagulation

P00742 VIIa,Antihemophilic 0.20

Factor X

Factor,Pvivaroxaban,Apixab an, Coagulation Factor

IX .Heparin

Complement (None found)

P02748 0.21 component C9

Bactericidal (None found)

permeability-

P17213 0.21 increasing

protein

Alpha- 1- (None found)

P01011 0.21 antichymotrypsin

Complement (None found)

P13671 0.22 component C6

Insulin-like (None found)

P24592 growth factor- 0.22 binding protein 6

Complement (None found)

C5b, and

#N/A 0.22

Complement

component C6

Alpha-2- Ocriplasmin,Bacitracin,Becaplermin

P01023 0.22 macro globulin

Complement (None found)

P05156 0.22 factor I

P24158 Myeloblastin (None found) 0.23

Pulmonary (None found)

surfactant-

P35247 0.23 associated

protein D

Coagulation Coagulation Factor IX

P03951 0.23 factor XI

P22749 Granulysin (None found) 0.23

P01024 Complement C3 Intravenous Immunoglobulin 0.23

Plasma serine Urokinase,Drotrecogin alfa

P05154 protease 0.24 inhibitor

C3a Intravenous Immunoglobulin

P01024 anaphylatoxin 0.24 des Arginine

Ferritin heavy (None found)

#N/A 0.24 and light chains Secreted (None found)

Q8N474 frizzled-related 0.24 protein 1

P14543 Nidogen-1 Urokinase 0.24

Lipopolysacchari (None found)

P18428 de-binding 0.24 protein

Apolipoprotein E Serum albumin iodonated,Human Serum Albumin

P02649 0.24

(isoform E4)

Neutrophil - (None found)

P02775 activating 0.25 peptide 2

DNA Irinotecan,Topotecan,Lucanthone,Sodium

P11387 4.03 topoisomerase 1 stibogluconate

Small-inducible (None found)

Q99731 4.13 cytokine A19

Methionine Nitroxoline

P53582 aminopeptidase 4.19

1

P09237 Matrilysin Marimastat 5.23

Polymeric (None found)

P01833 immunoglobulin 6.23 receptor

XTP3- (None found)

Q9H773 transactivated 8.25 gene A protein

Thrombospondin (None found)

P35442 9.83

-2

Small-inducible (None found)

043927 26.02 cytokine B13

In summary, the general approach described above may be applied to anyone of the protein-drug combinations described in Table 8 to develop a drug treatment plan or to administer the drug or drugs to the individual based on their proteomic profile (differential protein expression levels - "up" or "down" and the fold-level of that difference). Further, the approach may be used to identify proteins that may be drug targets for the treatment of individuals or groups of individuals that may share the same protein differential expression profile or profile range (i.e., have at least about a 4-fold, 5-fold, 6-fold, 7-fold, 8-fold and up to 100-fold or more in expression difference of the same protein as between tumor tissue and healthy/normal tissue).

Table 9 shows a protein expression profile generated using compositions and methods of the invention from a single patient (Subject D) with lung cancer (squamous carcinoma). By way of example, the protein Mitogen-activated protein kinase 13 (UniProt 015264) was found to be up-regulated in tumor tissue about 4-fold (or 4.03-fold) relative to the same protein in normal or healthy tissue from the same individual. While at this time, this protein does not have a known drug, the Mitogen-activated protein kinase 13 protein may be selected for drug development based on the differential expression levels between tumor tissue and healthy tissue.

By way of example, the protein Heparin-binding growth factor 2 (UniProt P09038was found to be down-regulated in tumor tissue about 4-fold (as expressed in the table as 0.24) relative to the same protein in normal or healthy tissue from the same individual. The Heparin- binding growth factor 2 has known drugs that target this protein (e.g., Pentosan Poly sulfate, Sucralfate and Sirolimus). Consequently, this individual may be responsive to a drug treatment plan that may include Pentosan Polysulfate, Sucralfate and/or Sirolimus. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least 4- fold (or at least .24 difference), and providing a drug treatment plan based on the drugs that target this particular protein.

By way of another example, the protein Plasminogen activator inhibitor 1 (UniProt P05121) was found to be up-regulated in tumor tissues relative to normal or healthy tissue by about 182-fold (or 181.88 fold). The Plasminogen activator inhibitor 1 has known drugs that target this protein (e.g., Anistreplase, Urokinase, Reteplase, Alteplase, Tenecteplase and Drotrecogin alfa). Consequently, this individual may be responsive to a drug treatment plan that may include Anistreplase, Urokinase, Reteplase, Alteplase, Tenecteplase and/or Drotrecogin alfa. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least about 182-fold and providing a drug treatment plan based on the drugs that target this particular protein.

Table 9: Proteomic profile for a single individual (Subject D) based on proteins having at least a 4-fold difference in expression between tumor tissue and normal tissue. Based on this threshold cut-off, this individual had 95 proteins with at least a 4-fold (either up or down) difference in tumor to healthy tissue protein expression levels.

Tartrate-resistant acid (None found)

P13686 0.19 phosphatase type 5

Plasma kallikrein (None found)

P03952 0.19

(precursor)

Neutrophil-activating (None found)

P02775 0.19 peptide 2

Interleukin-17 (None found)

Q8NAC3 0.20 receptor C

Fibrinogen alpha, (None found)

#N/A beta, and gamma 0.20 chains

Pegfilgrasfim,Filgrasfim, Alpha- 1 -

P08246 Leukocyte elastase 0.20 proteinase inhibitor

Q07507 Dermatopontin (None found) 0.21

Complement (None found)

P13671 0.21 component C6

P00751 Complement factor B (None found) 0.21

Chordin-like protein (None found)

Q9BU40 0.21

1

SPARC-like protein (None found)

Q14515 0.22

1

Vitamin K-dependent Menadione, Sodium Tetradecyl

P07225 0.23 protein S Sulfate,Drotrecogin alfa

P23280 Carbonic anhydrase 6 Zonisamide 0.23

P07339 Cathepsin D Insulin,Insulin Regular 0.23

Complement (None found)

P02748 0.23 component C9

Q12860 contactin-1 (None found) 0.24

Heparin-binding Pentosan Poly sulfate, Sucralfate, Sirolimus

P09038 0.24 growth factor 2

Q96IY4 Carboxypeptidase B2 (None found) 0.25

Mitogen-activated (None found)

015264 4.03 protein kinase 13

Insulin-like growth (None found)

P24593 factor-binding protein 4.13

5

Histone (None found)

014929 acetyltransferase type 4.19

B catalytic subunit

Me salazine,Melatonin,L -

P05164 Myeloperoxidase 4.26

Carnitine,Cefdinir

Pemetrexed,Trimethoprim,Fluorouracil,Le

P04818 TS ucovorin,Gemcitabine,Pralatrexate,Capecit 4.28 abine,Raltitrexed,Trifluridine,Floxuridine

Importin subunit (None found)

P52292 4.32 alpha-2

Kunitz-type protease (None found)

043291 4.39 inhibitor 2

Insulin-like growth Mecasermin

P17936 factor-binding protein 4.54

3

P02768 Serum albumin (None found) 4.55

Coiled-coil domain- (None found)

Q76M96 4.88 containing protein 80

075509 Death receptor 6 (None found) 4.99

Trastuzumab,Lidocaine,Lapatinib,Afatinib

Epidermal growth

P00533 _j Panitumumab , Gef itinib, Cetuximab,Erlotin 5.10 factor receptor

ibjVandetanib

060911 Cathepsin L2 (None found) 5.20

Metalloproteinase (None found)

P01033 5.59 inhibitor 1

act vator n tor e, enectep ase, rotrecog n a a

In summary, the general approach described above may be applied to anyone of the protein-drug combinations described in Table 9 to develop a drug treatment plan or to administer the drug or drugs to the individual based on their proteomic profile (differential protein expression levels - "up" or "down" and the fold-level of that difference). Further, the approach may be used to identify proteins that may be drug targets for the treatment of individuals or groups of individuals that may share the same protein differential expression profile or profile range (i.e., have at least about a 4-fold, 5-fold, 6-fold, 7-fold, 8-fold and up to 100-fold or more in expression difference of the same protein as between tumor tissue and healthy/normal tissue).

Table 10 shows a protein expression profile generated using compositions and methods of the invention from a single patient (Subject E) with lung cancer (squamous carcinoma). By way of example, the protein Thrombospondin-2 (UniProt P35442) was found to be up-regulated in tumor tissue about 21-fold (or 21.4-fold) relative to the same protein in normal or healthy tissue from the same individual. While at this time, this protein does not have a known drug, the Thrombospondin-2 protein may be selected for drug development based on the differential expression levels between tumor tissue and healthy tissue.

By way of example, the protein Plasminogen (UniProt P00747) was found to be down- regulated in tumor tissue about 50-fold (as expressed in the table as 0.02) relative to the same protein in normal or healthy tissue from the same individual. The Plasminogen protein has known drugs that target this protein (e.g., Streptokinase, Anistreplase, Aminocaproic Acid,

Urokinase, Reteplase, Alteplase, Aprotinin, Tranexamic Acid and Tenecteplase). Consequently, this individual may be responsive to a drug treatment plan that may include Streptokinase, Anistreplase, Aminocaproic Acid, Urokinase, Reteplase, Alteplase, Aprotinin, Tranexamic Acid and/or Tenecteplase. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least 50-fold (or at least 0.02 difference), and providing a drug treatment plan based on the drugs that target this particular protein.

By way of another example, the protein MMP-1 (UniProt P03956) was found to be up- regulated in tumor tissues relative to normal or healthy tissue by about 25-fold (or 25.28 fold). The MMP-1 protein has a known drug that targets this protein (e.g., Marimastat). Consequently, this individual may be responsive to a drug treatment plan that may include Marimastat. Thus, by way of example, a drug treatment plan for this individual may be developed by selecting one or more protein(s) that have differential expression between tumor tissue and healthy tissue of at least about 25-fold and providing a drug treatment plan based on the drugs that target this particular protein.

Table 10. Proteomic profile for a single individual (Subject E) based on proteins having at least a 4-fold difference in expression between tumor tissue and normal tissue. Based on this threshold cut-off, this individual had 128 proteins with at least a 4-fold (either up or down) difference in tumor to healthy tissue protein expression levels.

Protein Expression

Uniprot Protein Name: Drug List:

(Tumor/Normal)

Advanced (None found)

glycosylation end

Q15109 0.00

product-specific

receptor

Streptokinase,Anistreplase,Aminocaproic

P00747 Plasminogen Acid,Urokinase,Reteplase,Alteplase,Aprotinin,Tranexa 0.02

mic Acid,Tenecteplase

Carbonic Zonisamide,Acetazolamide

P07451 0.03

anhydrase 3

Fatty acid-binding (None found)

P07483 0.03

protein, heart RAT

P04040 Catalase Fomepizole 0.04

P43652 Afamin (None found) 0.04

Plasma kallikrein (None found)

P03952 0.05

(precursor)

Kininogen-1, (None found)

P01042 0.05

HMW

HychocWorothiazide,Quinethazone,Benzthiazide,Diazox

ide,Trichlormethiazide,Methocarbamol,Amlodipine,Ben

Carbonic choflumetMazide,Brinzolamide,DicWoφhenamide,Meth

P00915 0.05

anhydrase I azolanude,Etmnamate,HydroflumetWazide,Acetazolami

de,Cyclothiazide,Zonisamide,Ethoxzolamide,Chlorothia

zide,Methyclothiazide,Dorzolamide

Fondaparinux

sodium,Menadione,Enoxaparin,Coagulation factor

Coagulation factor

P00742 VIIa,Antihemophilic 0.05

X (activated form)

Factor,Rivaroxaban,Apixaban, Coagulation Factor

IX,Heparin

Streptokinase,Anistreplase,Aminocaproic

P00747 Angio statin Acid,Urokinase,Reteplase,Alteplase,Aprotinin,Tranexa 0.06

mic Acid,Tenecteplase

C3a anaphylatoxin Intravenous Immunoglobulin

P01024 0.06

des Arginine

P01019 Angiotensinogen (None found) 0.06

P29622 Kallistatin (None found) 0.06

Fondaparinux

sodium,Menadione,Enoxaparin,Coagulation factor

Coagulation Factor

P00742 VIIa,Antihemophilic 0.06

X

Factor,Rivaroxaban,Apixaban, Coagulation Factor

IX,Heparin

Polymeric (None found)

P01833 immunoglobulin 0.06

receptor

C-C motif (None found)

P55774 0.07

chemokine 18

P21810 Biglycan (None found) 0.07

Thyroxine-binding (None found)

P05543 0.07

globulin

P05546 Heparin cofactor 2 Ardeparin, Sulodexide 0.07

Inter-alpha-trypsin (None found)

Q14624 inhibitor heavy 0.07

chain H4

Tinzaparin,Dalteparin,Nadroparin,Fondaparinux

P01008 Antithrombin-III 0.07

sodium,Sulodexide,Ardeparin,Enoxaparin,Heparin

proten Kunitz-type (None found)

043278 6.23 protease inhibitor 1

060911 Cathepsin L2 (None found) 6.44

N- (None found)

acetylgalactosamin

Q7LFX5 6.81 e 4-sulfate 6-0- sulfotransferase

P52823 Staniiiocalcin-1 (None found) 7.26

P21741 Midkine (None found) 10.06

Urokinase-type Urokinase,Amiloride

P00749 plasminogen 10.55 activator

P19957 Elafin (None found) 13.61

Phosphogly cerate (None found)

P18669 17.51 mutase 1

P35442 Thrombospondin-2 (None found) 21.40

P03956 MMP-1 Marimastat 25.28

Macrophage Acetohydroxamic Acid,Marimastat

P39900 30.88 metalloelastase

In summary, the general approach described above may be applied to anyone of the protein-drug combinations described in Table 10 to develop a drug treatment plan or to administer the drug or drugs to the individual based on their proteomic profile (differential protein expression levels - "up" or "down" and the fold-level of that difference). Further, the approach may be used to identify proteins that may be drug targets for the treatment of individuals or groups of individuals that may share the same protein differential expression profile or profile range (i.e., have at least about a 4-fold, 5-fold, 6-fold, 7-fold, 8-fold and up to 100-fold or more in expression difference of the same protein as between tumor tissue and healthy/normal tissue).

Table 11 shows exemplary protein and drugs that target the listed proteins.

Table 1 1

UniProt Protein Name Known Drugs

P01023 a2-Macroglobulin Ocriplasmin,Bacitracin,Becaplermin

P00519 c-abl oncogene 1, non-receptor tyrosine Dasatinib,Bosutinib,Adenosine

kinase triphosphate,Nilotinib,Ponatinib,lmatinib,Regorafenib

P42684 v-abl Abelson murine leukemia viral

oncogene homolog 2 Dasatinib,Adenosine triphosphate

P42684 v-abl Abelson murine leukemia viral

oncogene homolog 2 Dasatinib,Adenosine triphosphate

P16112 Aggrecan core protein (None found)

Q9BYF1 Angiotensin-converting enzyme 2 Moexipril,Lisinopril

P24666 Acid phosphatase 1, soluble Adenine

Tartrate-resistant acid phosphatase type

P13686

5

P36896 Activin Serine-threonine-protein kinase

receptor type-IB Adenosine triphosphate P37023 Activin receptor-like kinase 1 Adenosine triphosphate

Q03154 Aminoacylase-1 L-Aspartic Acid

043184 ADAM metallopeptidase domain 12

Q13443 ADAM metallopeptidase domain 9

Q9UHI8 ADAM metalloproteinase with

thrombospondin motifs 1

Q76LX8 ADAM metallopeptidase with

thrombospondin motifs 13

Q8TE58 ADAM metallopeptidase with

thrombospondin motifs 15

ADAM metallopeptidase with

075173 thrombospondin motifs 4/Aggrecanase

1

ADAM metallopeptidase with

Q9UNA0 thrombospondin motifs 5/Aggrecanase

2

Pituitary adenylate cyclase-activating

P18509

polypeptide 27

Pituitary adenylate cyclase-activating

P18509

polypeptide 38

Q15848 Adiponectin

P25098 β-adrenergic receptor kinase 1 Adenosine triphosphate

P30566 PUR8/Adenylosuccinate lyase

P43652 Afamin

Q15109 RAGE, soluble/Advanced glycosylation

end product-specific receptor

095994 Anterior gradient protein 2 homolog

000253 Agouti-related protein

P01019 Angiotensinogen

P02765 a2-HS-Glycoprotein

P55008 Allograft inflammatory factor 1

Endothelial-Monocyte Activating

Q12904

Polypeptide 2

000170 AH receptor-interacting protein

P00568 Adenylate Kinase 1

P14550 Alcohol dehydrogenase (NADP+)/Ado- keto reductase family 1 member Al

043488 Aflatoxin Bl aldehyde reductase

P02768 Albumin

Activated leukocyte cell adhesion

Q13740

molecule

Alkaline phosphatase, tissue-nonspecific

P05186

isozyme

P03971 Muellerian-inhibiting factor

Anti-Mullerian hormone receptor, type

Q16671

II Adenosine triphosphate

Q86YT9 Junctional adhesion molecule-like

Q9BXJ7 Amnionless Hydroxocobalamin

P03950 Angiogenin

Q15389 Angiopoietin-1 015123 Angiopoietin-2

Q9Y264 Angiopoietin-4

Q9Y5C1 Angiopoietin-related 3

Q9BY76 Angiopoietin-related 4

Q92688 Acidic leucine-rich nuclear

phosphoprotein 32 family member B

P04083 Annexin Al Hydrocortisone,Dexamethasone,Amcinonide

P07355 Annexin A2 Tenecteplase

P08133 Annexin A6

P02743 Serum amyloid P

P02647 Apolipoprotein A-l

P04114 Apolipoprotein B

P05090 Apolipoprotein D

P02649 Apolipoprotein E Serum albumin iodonated, Human Serum Albumin

P02649 Apolipoprotein E3 Serum albumin iodonated, Human Serum Albumin

P02649 Apolipoprotein E4 Serum albumin iodonated, Human Serum Albumin

P02649 Apolipoprotein E (isoform E2) Serum albumin iodonated, Human Serum Albumin

P05067 Amyloid β A4 protein

P15514 Amphiregulin

P05089 Arginase-1 L-Ornithine

Q99856 ARID domain-containing protein 3A

P56211 cAMP-regulated phosphoprotein 19

P15289 Arylsulfatase A

P15848 Arylsulfatase B

Q5T4W7 Artemin

Q9NR71 Neutral ceramidase

P07306 Asialoglycoprotein receptor 1

P06576 ATP synthase β-subunit, mitochondrial

014965 Aurora kinase A

Q96GD4 Aurora-related kinase 2

P20160 Azurocidin

P61769 2-Microglobulin

P50895 Basal Cell Adhesion Molecule

Q96GW7 Brevican

BCAR3 breast cancer anti-estrogen

075815

resistance 3

P10415 Apoptosis regulator Bcl-2 Rasagiline,Paclitaxel,lbuprofen,Docetaxel

Q16548 Bcl-2-related protein Al

Q07817 Apoptosis regulator Bcl-X

P23560 Brain-derived neurotrophic factor

P21810 Biglycan

Q13489 Apoptosis inhibitor 2/C-IAP2

015392 Survivin

Q96CA5 Livin/baculoviral IAP repeat containing 7

P13497 Bone morphogenetic protein-1

095393 Bone morphogenetic protein-10

P22004 Bone morphogenetic protein-6 P18075 Bone morphogenetic protein-7

Q8N8U9 Bone morphogenetic protein-binding

endothelial regulator protein

Bone morphogenetic protein receptor

P36894

type IA

Bone morphogenetic protein type II

Q13873

receptor

P51813 Tyrosine kinase Etk

Q9BWV1 Shh receptor Boc

Bactericidal permeability-increasing

P17213

protein

Q92994 BRF1

Extracellular matrix metalloproteinase

P35613

inducer

Bone marrow stromal cell

Q10588

antigen/CD157

Q06187 Tyrosine kinase Bruton

P02745

P02746

P02747 Complement Clq

Q07021 Complement Clq subcomponent- binding protein, mitochondrial

Alemtuzumab,Daclizumab,lbritumomab,Trastuzumab,B evacizumab,Efalizumab,Muromonab,Adalimumab,Palivi

P00736

zumab,Abciximab,Natalizumab,Basiliximab,Cetuximab,

Rituximab,Gemtuzumab

Complement Clr ozogamicin,Etanercept,Tositumomab,Alefacept

Adalimumab,Abciximab,Basiliximab,Cetuximab,lbritum

P09871 omab,Rituximab,Gemtuzumab

Complement Cls ozogamicin,Etanercept,Trastuzumab,lv1uromonab

P06681 Complement C2

P01024 Complement C3b, inactivated Intravenous Immunoglobulin

P01024 Complement C3 Intravenous Immunoglobulin

Complement C3a anaphylatoxin des

P01024

Arginine Intravenous Immunoglobulin

P01024 Complement C3b Intravenous Immunoglobulin

P01024 Complement C3d Intravenous Immunoglobulin

P01024 Complement C3a anaphylatoxin Intravenous Immunoglobulin

P0C0L4

P0C0L5 Complement C4b

P0C0L4,

P0C0L5 Complement C4

P01031 Complement C5 Eculizumabjntravenous Immunoglobulin

P01031 Complement C5a Eculizumabjntravenous Immunoglobulin

P01031,P13

671 Complement C5b,6 Complex

P13671 Complement C6

P10643 Complement C7

P07357,P07

358,P07360 Complement C8

P02748 Complement C9 P02748 Complement C9

Hydrochlorothiazide,Quinethazone,Benzthiazide,Diazox ide,Trichlormethiazide,Methocarbamol,Amlodipine,Ben

P00915 droflumethiazide,Brinzolamide,Dichlorphenamide,Met hazolamide,Ethinamate,Hydroflumethiazide,Acetazola mide,Cyclothiazide,Zonisamide,Ethoxzolamide,Chloroth

Carbonic anhydrase 1 iazide,Methyclothiazide,Dorzolamide

Q9NS85 Carbonic anhydrase-related protein X Zonisamide

Q8N1Q1 Carbonic anhydrase XIII Zonisamide

Hydrochlorothiazide,Benzthiazide,Bendroflumethiazide ,Zonisamide,Topiramate,Methyclothiazide,Quinethazon

P00918 e,Furosemide,Acetazolamide,Ethoxzolamide,Diazoxide,

Dichlorphenamide,Ethinamate,Cyclothiazide,Dorzolami de,Trichlormethiazide,Brinzolamide,Methazolamide,Hy

Carbonic anhydrase II droflumethiazide,Chlorothiazide

P07451 Carbonic anhydrase III Zonisamide,Acetazolamide

Hydrochlorothiazide,Benzthiazide,Trichlormethiazide,B endroflumethiazide,Brinzolamide,Dichlorphenamide,M

P22748

ethazolamide,Hydroflumethiazide,Acetazolamide,Cyclo thiazide,Zonisamide,Ethoxzolamide,Chlorothiazide,Topi

Carbonic anhydrase IV ramate,Methyclothiazide,Dorzolamide

P23280 Carbonic anhydrase VI Zonisamide

P43166 Dichlorphenamide,Zonisamide,Methazolamide,Acetazo

Carbonic anhydrase VII lamide,Ethoxzolamide

Q16790 Zonisamide,Hydrochlorothiazide,Hydroflumethiazide,B

Carbonic anhydrase IX enzthiazide

Q9BY67 Nectin-like protein 2

Q8N126 Nectin-like protein 1

P27797 Calreticulin Melatonin,Antihemophilic Factor,Tenecteplase

Calcium-calmodul in-dependent protein

Q14012

kinase 1

Calcium-calmodul in-dependent protein

Q8IU85

kinase ID

Calcium-calmodul in-dependent protein

Q9UQM7

kinase II a

Calcium-calmodul in-dependent protein

Q13554

kinase II β

Calcium-calmodul in-dependent protein

Q13557

kinase II δ

Q8N5S9 Calcium-calmodul in-dependent protein

kinase kinase 1, a

P40121 Macrophage-capping protein

P07384

P04632 Calpain 1

Caspase 10, apoptosis-related cysteine

Q92851

peptidase

P42575 Caspase-2

P42574 Caspase-3 Minocycline

P20810 Calpastatin

P04040 Catalase Fomepizole Q9NZQ7 B7 homolog 1/CD274

Q08708 CMRF35-like molecule 6/CD300c

P20138 Siglec-3 Gemtuzumab ozogamicin

P16671 CD36 ANTIGEN

P01730 T-cell surface glycoprotein CD4 Antithymocyte globulin

P29965 CD40 ligand

P09326 CD48

CD55/Complement decay-accelerating

P08174

factor/DAF Chloramphenicol

043866 CD5 antigen-like

P32970 CD70

P33681 T-lymphocyte activation antigen CD80 Belatacept,Abatacept

Signaling lymphocytic activation

Q9UIB8

molecule 5

P42081 B7-2/CD86 Belatacept,Abatacept,Antithymocyte globulin

P48960 CD97

P06493 Cyclin-dependent kinase lxyclin B

P14635 complex

Q16543 Hsp90 co-chaperone Cdc37

Myotonic dystrophy protein kinase-like

Q9Y5S2

β

P12830 Cadherin-1

P55289 Cadherin-12

Cadherin 15, type 1, M-cadherin

P55291

(myotubule)

Cadherin 2, type 1, N-cadherin

P19022

(neuronal)

P22223 Cadherin-3

P33151 Cadherin-5 Lenalidomide

P55285 Cadherin-6

P24941 Cyclin-dependent kinase 2:cyclin A

P20248 complex

Q00535 Cyclin-dependent kinase 5:activator p35

Q15078 complex

P49336 Cyclin-dependent kinase 8:cyclin C

P24863 complex

P46527 Cyclin-dependent kinase inhibitor p27

Conserved dopamine neurotrophic

Q49AH0

factor

Q4KMG0 Cell adhesion molecule-related down- regulated by oncogenes

P00751 Complement factor B

P0CG37 Cryptic protein

P00746 Complement factor D

P08603 Complement factor H

Q9BXR6 Complement factor H-related 5

P05156 Complement factor 1

P23528 Cofilin-1

P27918 Properdin

P01215,P01

233 Human Chorionic Gonadotropin P01215,

P01225 Follicle stimulating hormone

P01215,

P01229 Luteinizing hormone

P01215

P01222 Thyroid Stimulating Hormone

014757 Serine-threonine-protein kinase Chkl

096017 Serine-threonine-protein kinase Chk2

Q13231 Chitotriosidase-1

Neural cell adhesion molecule Ll-like

000533

protein

Q9BU40 Chordin-Like 1

Q7LFX5 Carbohydrate sulfotransferase 15

Q9Y4C5 Carbohydrate sulfotransferase 2

Q9GZX3 Carbohydrate sulfotransferase 6

CKAP2/Cytoskeleton-associated protein

Q8WWK9

2

P12277 Creatine kinase-BB Creatine

P12277

P06732 Creatine kinase-MB

P06732 Creatine kinase-MM Creatine

Q9Y240 Stem Cell Growth Factor

Q9Y240 Stem Cell Growth Factor

Q9P126 C-type lectin domain family 1 member B

Q9H2X3 Dendritic cell-specific ICAM-3-grabbing

nonintegrin 2/CD299

Q9BXN2 Dectin-1

000299 Nuclear chloride ion channel 27

P10909 Clusterin

P23946 Chymase

P30085 UMP-CMP kinase Gemcitabine

Q96KN2 Carnosine dipeptidase 1

Q96KP4 Glutamate carboxypeptidase

P26441 Ciliary Neurotrophic Factor

P26992 Ciliary neurotrophic factor receptor a

Q12860 Contactin-1

Q02246 Contactin-2

Q8IWV2 Contactin-4

094779 Contactin-5

P39060 Endostatin

Q86Y22 Collagen ct-l(XXIII) chain

P27658 Collagen a-l(VIII) chain

Q9BWP8 Collectin Kidney 1

Q5KU26 Collectin placenta 1

Q86VX2 COMM domain containing 7

Q14019 Coactosin-like protein 1

Thrombin-Activatable Fibrinolysis

Q96IY4

Inhibitor

P16870 Carboxypeptidase E Insulin, Insulin Regular Q99829 Copine-1

P54108 Cysteine-rich secretory protein 3

P46108 Adaptor protein Crk-I

Cytokine receptor-like factor

075462

l:Cardiotrophin-like cytokine factor 1

Q9UBD9

Complex

Thymic stromal lymphopoietin protein

Q9HC73

receptor

P02741 C-reactive protein inhaled insulin

CRTAM/cytotoxic and regulatory T cell

095727

molecule

P09603 Macrophage colony-stimulating factor 1

Macrophage colony-stimulating factor 1

P07333

receptor Sunitinibjmatinib

Granulocyte-macrophage colony-

P04141

stimulating factor

P09919 Granulocyte colony-stimulating factor

Granulocyte colony-stimulating factor

Q99062

receptor Pegfilgrastim,Filgrastim

P41240 C-Src kinase

P47710 a-Sl-casein

P68400 Casein kinase II subunit a

P68400 Casein kinase II subunit a

P68400

P67870 Casein kinase II α1:β heterodimer

P19784

P67870 Casein kinase II α2:β heterodimer

P01037 Cystatin SN

P09228 Cystatin SA

P01034 Cystatin C

P01036 Cystatin S

P28325 Cystatin D

Q15828 Cystatin M

076096 Cystatin F

Q16619 Cardiotrophin-1

P29279 Connective tissue growth factor

P16410 Cytotoxic T-lymphocyte-4 Ipilimumab

P10619 Cathepsin A

P07858 Cathepsin B

P53634 Cathepsin C

P07339 Cathepsin D Insulinjnsulin Regular

P14091 Cathepsin E

P08311 Cathepsin G

P09668 Cathepsin H

060911 Cathepsin V

P25774 Cathepsin S

Q9UBR2 Cathepsin Z

P78423 Fractalkine/CX3CL-1

P09341 Gro-a

P02778 Interferon-y induced protein 014625 Interferon-v-inducible protein-9

P48061 Stromal cell-derived factor 1 Tinzaparin

P48061 Stromal cell-derived factor 1 Tinzaparin

043927 B lymphocyte chemoattractant/CXCL13

Scavenger receptor for

Q9H2A7 phosphatidylserine and oxidized low

density lipoprotein/CXCL16

P19876

P19875 Gro-y/β

P19876

P19875 Gro-y/β

P42830 Epithelial-derived neutrophil-activating

protein 78/CXCL5

Granulocyte chemotactic protein

P80162

2/CXCL6

P99999 Cytochrome c Minocycline

P08684 Cytochrome P450 3A4 Paliperidone

Q9UIK4 Death-associated protein kinase 2

Q9UJU6 Drebrin-like HIP-55

P07585 Bone proteoglycan II

Q13561 Dynactin subunit 2

Q9H773 dCTP pyrophosphatase 1

P20711 Dopa decarboxylase Carbidopa

Q08345 Discoidin domain receptor 1 Imatinib

Q16832 Discoidin domain receptor 2 Regorafenib

Q9UMR2 DEAD box RNA helicase 19B

043323 Desert Hedgehog N-Terminus

Diablo, IAP-binding mitochondrial

Q9NR28

protein

094907 Dickkopf-related protein 1

Q9UBP4 Dickkopf-related protein 3

Q9UBT3 Dickkopf-related protein 4

Q9UK85 Soggy-1

000548 Delta-like protein 1 (DLL1)

Q9NR61 Drosophila Delta homolog 4

Q13316 Dentin matrix protein 1

P25685 Hsp40

Q96DA6 DnaJ homolog

Q9UHL4 Dipeptidyl-peptidase II

Q07507 Dermatopontin

Q14574 Desmocollin-3

Q02413 Desmoglein-1

Q14126 Desmoglein-2

Vaccinia Virus VHl-related

P51452 Phosphatase/Dual specificity protein

phosphatase 3

P63167 Dynein light chain 1

Q9NP97 Dynein light chain roadblock-type 1

043781 Dual-specificity protein kinase 3 P42892 Endothelin-converting enzyme 1

Q16610 Extracellular matrix protein-1

Q92838 Ectodysplasin-A, secreted form

Q9HAV5 X-linked ectodysplasin-A2 receptor

Q9UNE0 Ectodermal Dysplasia Receptor

P24534 Elongation factor 1-β

P52798 Ephrin-A4

P52803 Ephrin-A5

Q15768 Ephrin-B3

P00533 Trastuzumab,Lidocaine,Lapatinib,Afatinib,Panitumuma erbBl/HERl b,Gefitinib,Cetuximab,Erlotinib,Vandetanib

Q96KQ7 Histone H3-K9 methyltransferase 3

Eukaryotic translation initiation factor

P38919

4A-III

Q13542 Eukaryotic translation initiation factor

4E-binding protein 2

Eukaryotic translation initiation factor

P78344

G2

P55010 Eukaryotic translation initiation factor 5

Eukaryotic translation initiation factor

P63241

5A

P08246 Neutrophil elastase Pegfilgrastim,Filgrastim,Alpha-l-proteinase inhibitor

EGF-like module-containing mucin-like

Q9UHX3

receptor 2

P17813 Endoglin

Q6UWV6 Alkaline Sphingomyelinase

P49961 CD39

075355 Ectonucleoside triphosphate

diphosphohydrolase 3/CD39L3

075356 Ectonucleoside triphosphate

diphosphohydrolase 5/CD39L4

P11171 erythrocyte membrane protein 4.1

P21709 Ephrin type-A receptor 1

Q5JZY3 EPH receptor A10

P29317 Ephrin type-A receptor 2 Dasatinib,Regorafenib

P29320 Ephrin type-A receptor 3

P54756 Ephrin type-A receptor 5

P29323 EPH receptor B2

P54760 Ephrin type-B receptor 4

015197 EPH receptor B6

P01588 Erythropoietin

P19235 Darbepoetin alfa, Epoetin alfa, Epoetin

Erythropoietin receptor Zeta,Peginesatide

Epidermal growth factor receptor

Q9UBC2

substrate 15-like 1

Endoplasmic reticulum aminopeptidase

Q9NZ08

1

P04626 Lapatinib,Afatinib,Trastuzumab,Pertuzumab,ado- erbB2 /HER2 trastuzumab emtansine P21860 erbB3/HER3

Q15303 erbB4/HER4 Afatinib

014944 Epiregulin

Endoplasmic reticulum resident protein

P30040

29

Endothelial cell-selective adhesion

Q96AP7

molecule

P10768 Esterase D Glutathione

Q9NQ30 Endocan

Estriol,Allylestrenol,Norgestimate,Ethynodiol,Tamoxife n,Quinestrol,Levonorgestrel, Medroxyprogesterone

Acetate,Chlorotrianisene,Diethylstilbestrol,Dienestrol,P

P03372

rogesterone,Toremifene,Ethinyl

Estradiol, Desogestrel, Estradiol, Ospemifene,Melatonin,

Clomifene,Fluoxymesterone,Danazol,Estrone,Naloxone,

Raloxifene,Estramustine,Estropipate,Etonogestrel,Trilos

Estrogen receptor tane,Fulvestrant,Conjugated Estrogens,Mestranol

095571 Ethylmalonic encephalopathy 1

Fondaparinux

sodium, Menadione,Enoxaparin,Coagulation factor

P00742

Vila, Antihemophilic

Factor,Rivaroxaban,Apixaban,Coagulation Factor

Coagulation Factor Xa IX,Heparin

Fondaparinux

sodium, Menadione,Enoxaparin,Coagulation factor

P00742

Vila, Antihemophilic

Factor,Rivaroxaban,Apixaban,Coagulation Factor

Coagulation Factor X IX,Heparin

P03951 Coagulation Factor XI Coagulation Factor IX

Ximelagatran,Menadione,Coagulation Factor

P00734 IX,Proflavine,Lepirudin,ART- 123,Suramin,Bivalirudin,Argatroban,Dabigatran

Thrombin etexilate,Drotrecogin alfa

Ximelagatran,Menadione,Coagulation Factor

P00734 IX,Proflavine,Lepirudin,ART- 123,Suramin,Bivalirudin,Argatroban,Dabigatran

Prothrombin etexilate,Drotrecogin alfa

P13726 Tissue Factor Coagulation factor Vila

P12259 Coagulation Factor V ART-123,Drotrecogin alfa

P08709 Coagulation factor Vila, Menadione,Coagulation Factor

Coagulation Factor VII IX

P00740 Coagulation factor IX Menadione,Antihemophilic Factor

P00740 Coagulation Factor IXab Menadione,Antihemophilic Factor

P05413 Fatty acid binding protein, heart-type

P07483 0

Fatty acid binding protein, epidermal-

Q01469

type

Down-regulated in renal cell carcinoma

095990

1 Q9H098 Protein FAM107B

Q12884 Fibroblast activation protein a

P48023 Fas ligand

P24071 Immunoglobulin A Fc receptor

P06734 CD23

Alemtuzumab,Daclizumab,lbritumomab,Trastuzumab,B evacizumab,Efalizumab,Muromonab,Adalimumab,Palivi

P12314 zumab,Abciximab,Natalizumab,lntravenous

lmmunoglobulin,Basiliximab,Cetuximab,Rituximab,Gem tuzumab

High affinity Immunoglobulin G Fc ozogamicin,Etanercept,Tositumomab,Alefacept,Porfim receptor 1 er,Methyl aminolevulinate

P12318 Low affinity immunoglobulin gamma Fc

P31994 region receptor ll-a/b

P12318 Low affinity immunoglobulin gamma Fc

P31994 region receptor ll-a/b

Alemtuzumab,Daclizumab,lbritumomab,Trastuzumab,B evacizumab,Efalizumab,Muromonab,Adalimumab,Palivi

075015 zumab,Abciximab,Natalizumab,lntravenous

lmmunoglobulin,Basiliximab,Cetuximab,Rituximab,Gem

Immunoglobulin G Fc region receptor III- tuzumab

B, low affinity ozogamicin,Etanercept,Tositumomab,Alefacept

000602 Ficolin-1

Q15485 Ficolin-2

075636 Ficolin-3

Q96P31 Fc receptor-like protein 3

P16591 Tyrosine kinase Fer

Q9UGM5 Fetuin B

P02671

P02675

P02679 Fibrinogen

P02671

P02675

P02679 D-dimer

P05230 Acidic fibroblast growth

factor/endothelial cell growth factor Pazopanib,Amlexanox,Pentosan Polysulfate

015520 Fibroblast growth factor

10/Keratinocyte growth factor 2

P61328 Fibroblast growth factor 12

043320 Fibroblast growth factor 16

060258 Fibroblast growth factor 17

076093 Fibroblast growth factor 18

095750 Fibroblast growth factor 19

P09038 Basic fibroblast growth factor Pentosan Polysulfate,Sucralfate,Sirolimus

Q9NP95 Fibroblast growth factor 20

Q9GZV9 Fibroblast growth factor 23

P08620 Fibroblast growth factor 4 Pentosan Polysulfate

P12034 Fibroblast growth factor 5 P10767 Fibroblast growth factor 6

P21781 Fibroblast growth factor 7

P55075 Fibroblast growth factor 8 isoform B

P55075 Fibroblast growth factor 8 isoform A

P31371 Fibroblast growth factor 9

P11362 Basic fibroblast growth factor receptor 1 Palifermin,Sorafenib,Ponatinib,Regorafenib

P21802 Fibroblast growth factor receptor 2 Thalidomide,Palifermin,Ponatinib,Regorafenib

P22607 Fibroblast growth factor receptor 3 Pazopanib,Palifermin,Ponatinib

P22455 Fibroblast growth factor receptor 4 Palifermin,Ponatinib

P02679 Fibrinogen γ chain dimer Sucralfate

Proto-oncogene tyrosine-protein kinase

P09769

FGR

Fibronectin leucine rich transmembrane

Q9NZU1

1

Receptor-type tyrosine-protein kinase

P36888

FLT3 Sorafenib,Sunitinib,Ponatinib

P49771 Fms-related tyrosine kinase 3 ligand

Vascular endothelial growth factor

P35916

receptor 3 Pazopanib,Axitinib,Sunitinib,Sorafenib,Regorafenib

P02751 Fibronectin-1 Fragment 3 Ocriplasmin

P02751 Fibronectin-1 Fragment 4 Ocriplasmin

P02751 Fibronectin Ocriplasmin

Q04609 Prostate-specific membrane antigen Capromab

Q92765 Frizzled-related protein 3, secreted

P19883 Follistatin

095633 Follistatin-like 3

P02794

P02792 Ferritin

P21217 Fucosyltransferase 3

Q11128 Fucosyltransferase 5

Proto-oncogene tyrosine-protein kinase

P06241

Fyn Dasatinib

Proto-oncogene tyrosine-protein kinase

P06241

Fyn Dasatinib

Glyceraldehyde-3-phosphate

P04406

dehydrogenase

P54826 Growth Arrest Specific 1

P01275 Glucagon

Glucokinase (hexokinase 4)

Q14397

regulator/GCKR

095390 Growth-differentiation factor 11

Q9UK05 Growth-differentiation factor 2

P43026 Bone morphogenetic protein-14

060383 Growth-differentiation factor 9

P50395 Rab GDP dissociation inhibitor β

P14136 Glial fibrillary acidic protein

P56159 GDNF family receptor a-1

000451 GDNF family receptor a-2

060609 GDNF family receptor a-3

P10912 Growth hormone receptor Somatropin recombinant,Pegvisomant P22749 Granulysin

P15586 N-acetylglucosamine-6-sulfatase

P17174 Aspartate aminotransferase L-Cysteine,L-Aspartic Acid

P07359 Platelet Glycoprotein lb a

Q9HCN6 GPVI/Platelet Glycoprotein VI

Q8N158 Glypican-2

P51654 Glypican 3

P78333 Glypican-5

P06744 Glucose phosphate isomerase

Q14956 Osteoactivin/GPNMB

Q8IZF4 G-protein coupled receptor 114

Q96D09 G protein-coupled receptor associated

sorting protein 2

P24298 Alanine aminotransaminase 1 L-Alanine,Phenelzine

075791 GRAP2/GRB2-related adaptor protein 2

060565 Gremlin-1

P28799 Progranulin

P49840

P49841 Glycogen synthase kinase-3 α/β

P49840

P49841 Glycogen synthase kinase-3 α/β

P06396 Gelsolin

Q16772 Glutathione S-transferase A3 Glutathione

P09211 Glutathione S-transferase Pi 1 Glutathione,Clomipramine

P12544 Granzyme A

P10144 Granzyme B

P20718 Granzyme H

P0C0S5 Histone H2A.Z

P81172 LEAP-l/Hepcidin

Hyaluronan and proteoglycan link

P10915

protein 1

014929 Histone acetyltransferase 1

Hepatitis A virus cellular receptor 2/Tim-

Q8TDQ0

3

P69905,

P68871 Hemoglobin

Q99075 Heparin-binding EGF-like growth factor

P08631 Hemopoietic cell kinase Bosutinib

Q9BY41 Histone deacetylase 8 Vorinostat

Hepatoma-derived growth factor-

Q7Z4V5

related protein 2

Q6ZVN8 Hemojuvelin

P14210 Hepatocyte growth factor

Q04756 Hepatocyte growth factor activator

P31937 3-hydroxyisobutyrate dehydrogenase

Histidine triad nucleotide binding

P49773

protein 1 Adenosine monophosphate

Homeodomain-interacting protein

Q9H422

kinase 3 P16403 Histone HI.2

P09429 High-mobility group box 1/amphoterin

P04035 Atorvastatin,Fluvastatin, Pravastatin, Pravastatin, Lovast

HMG-CoA reductase atin,Rosuvastatin,Simvastatin

P30519 Heme oxygenase 2

Heterogeneous nuclear

P22626

ribonucleoprotein A2/B1

Heterogeneous nuclear

Q99729

ribonucleoprotein AB

Heterogeneous nuclear

P61978

ribonucleoprotein K

P00738 Haptoglobin

15-hydroxyprostaglandin

P15428

dehydrogenase [NAD+]

P02790 Hemopexin

P04196 Histidine-proline-rich glycoprotein

060243 Heparan-sulfate 6-O-sulfotransferase 1

P14061 Estradiol 17- -dehydrogenase 1 Equilin

3-hydroxyacyl-CoA dehydrogenase type-

Q99714

2

P07900

P08238 HSP 90α/β

P07900

P08238 HSP 90α/β

P08107 Hsp70

P11142 Heat shock cognate 71 kDa protein

P10809 Hsp60

High temperature requirement serine

043464

peptidase A2

P21815 Bone sialoprotein 2

P05362 Intercellular adhesion molecule 1 Hyaluronan,Natalizumab

P13598 Intercellular adhesion molecule 2

P32942 Intercellular adhesion molecule 3

Q9UMF0 Intercellular adhesion molecule 5

Q9Y6W8 Inducible T-cell co-stimulator

075144 B7 homolog 2/ICOS ligand

P14735 Insulin-degrading enzyme lnsulin,Bacitracin, Insulin Regular

P22304 Iduronate 2-sulfatase

P35475 a-L-iduronidase

P01563 lnferferon-a2

P01579 Inferferon-y Glucosamine,Olsalazine

P15260 Inferferon-y Receptor 1 Interferon gamma-lb

P05019 Insulin-like growth factor 1

P08069 lnsulin,lnsulin Glargine,lnsulin Regular,lnsulin

Insulin-like growth factor 1 receptor Lispro,Mecasermin

P11717 Insulin-like growth factor II receptor Mecasermin

Insulin-like growth factor-binding

P08833

protein 1

Insulin-like growth factor-binding

P18065

protein 2 Insulin-like growth factor-binding

P17936

protein 3 Mecasermin

Insulin-like growth factor-binding

P22692

protein 4

Insulin-like growth factor-binding

P24593

protein 5

Insulin-like growth factor-binding

P24592

protein 6

Insulin-like growth factor-binding

Q16270

protein 7 Insulin, Insulin Regular

P01880 Immunoglobulin D

P01854 Immunoglobulin E

P01857 Immunoglobulin G

P01857 Immunoglobulin G

P01871 Immunoglobulin M

P22301 lnterleukin-10

Q08334 lnterleukin-10 receptor β

P20809 lnterleukin-11

Q14626 lnterleukin-11 receptor a Oprelvekin

P29459,

P29460 lnterleukin-12

P29460,

Q9NPF7 lnterleukin-23

P42701 lnterleukin-12 receptor βΐ

Q99665 lnterleukin-12 receptor β2

P35225 lnterleukin-13

P78552 lnterleukin-13 receptor al

Q13261 lnterleukin-15 receptor a

Q14005 lnterleukin-16

Q16552 lnterleukin-17

Q9UHF5 lnterleukin-17B

Q8TAD2 lnterleukin-17D

Q96PD4 lnterleukin-17F

Q96F46 lnterleukin-17 receptor A

Q9NRM6 interleukin-17 receptor B

Q8NAC3 lnterleukin-17 receptor C

Q8NFM7 lnterleukin-17 receptor D

095998 lnterleukin-18 binding protein

Q13478 lnterleukin-18 receptor 1

lnterleukin-18 receptor accessory

095256

protein

Q9UHD0 lnterleukin-19

P01583 Interleukin-la Rilonacept

P01584 lnterleukin-ΐβ Rilonacept,Gallium nitrate,Canakinumab,Minocycline

Q9NZH6 lnterleukin-37

P14778 lnterleukin-1 receptor 1 Anakinra

lnterleukin-1 Receptor accessory

Q9NPH3

protein

lnterleukin-1 receptor accessory

Q9NP60

protein-like 2/IL-l sR9 Q01638 lnterleukin-1 receptor 4

Q9HB29 lnterleukin-1 receptor-like 2

P60568 lnterleukin-2

Q9NYY1 lnterleukin-20

Q9UHF4 lnterleukin-20 receptor subunit a

Q9GZX6 lnterleukin-22

Q8N6P7 lnterleukin-22 receptor a-1

Q969J5 lnterleukin-22 receptor subunit a-2

Q5VWK5 lnterleukin-23 receptor

Q13007 lnterleukin-24

Q9H293 lnterleukin-17E

Q8NEV9 lnterleukin-27

Q6UWB1 lnterleukin-27 receptor subunit a

Q8IZJ0 lnferferon-A2

Q8IU54 lnferferon-λΐ

P01589 lnterleukin-2 receptor a chain Denileukin diftitox,Daclizumab,Basiliximab,Aldesleukin

P31785 lnterleukin-2 receptor γ chain Denileukin diftitox,Aldesleukin

P08700 lnterleukin-3 Amlexanox

Q6ZMJ4 lnterleukin-34

P26951 lnterleukin-3 receptor a Sargramostim

P05112 lnterleukin-4

P24394 lnterleukin-4 receptor a chain

P05113 lnterleukin-5 Pranlukast

Q01344 lnterleukin-5 receptor a

P05231 lnterleukin-6 Ginseng

P08887 lnterleukin-6 receptor a chain Tocilizumab

P40189 lnterleukin-6 receptor subunit /gpl30

P13232 lnterleukin-7

P16871 lnterleukin-7 receptor subunit a

P10145 lnterleukin-8

IMP (inosine 5'-monophosphate)

P20839

dehydrogenase 1 Mycophenolic acid,Ribavirin,Mycophenolate mofetil

IMP (inosine 5'-monophosphate)

P12268

dehydrogenase 2 Mycophenolic acid,Mycophenolate mofetil

Q9UK53 Inhibitor of growth 1

P08476 Activin A/lnhibin β-Α homodimer

P08476

P09529 Activin AB/lnhibin β-Α:β-Β heterodimer

P01308 Insulin

Insulin, Insulin Glulisine,lnsulin Aspart,lnsulin, Insulin

P06213 Detemir,lnsulin Glargine,lnsulin Regular,lnsulin

Insulin receptor Lispro,Mecasermin

P56199,

P05556 Integrin a-1: β-l complex

P08514

P05106 Integrin a-llb: β-3 complex

P06756,

P18084 Integrin a-V: β-5 complex

Q14624 Inter-a-trypsin inhibitor heavy chain H4 P78504 Jagged-1

Q9Y219 Jagged-2

060674 Janus kinase 2 Tofacitinib,Ruxolitinib

P57087 Junctional adhesion molecule B

Q9BX67 Junctional adhesion molecule C

Q92794 Histone acetyltransferases monocytic

leukemic zinc-finger protein

P35968 Vascular endothelial growth factor Sunitinib,Sorafenib,Regorafenib,Pazopanib,Axitinib,Cab receptor 2 ozantinib,Ponatinib

Q02241 Kinesin family member 23

Killer cell immunoglobulin-like receptor

Q99706

2DL4

Killer cell immunoglobulin-like receptor

P43630

3DL2

Killer cell immunoglobulin-like receptor

Q14943

3DS1

Q8IZU9 Kirrel3

P10721 Pazopanib,Dasatinib,Sunitinib,Sorafenib,Nilotinib,Ponat

Stem cell factor receptor/CD117/c-Kit inib,lmatinib,Regorafenib

Q9UBX7 Kallikrein 11

Q9UKR0 Kallikrein 12

Q9UKR3 Kallikrein-13

Q9P0G3 Kallikrein 14

P07288 PSA

P07288,

P01011 PSA:a-l-antichymotrypsin complex

Q9Y5K2 Kallikrein 4

Q9Y337 Kallikrein 5

Q92876 Kallikrein 6

P49862 Kallikrein 7

060259 Kallikrein 8

P03952 Prekallikrein

Killer cell lectin-like receptor subfamily

Q9NZS2

F, member 1

P26718 Natural killer group 2 member D

P01042 Kininogen-1, HMW, Single chain

P01042 Kininogen-1, HMW, Single chain

Karyopherin a 2 (RAG cohort 1, importin

P52292

ct-1)

Q14974 Importin βΐ

P01116 KRAS

Q8NCW0 Kremen protein 2

P05783 Keratin 18

Q16719 Kynureninase L-Alanine

P32004 Neural cell adhesion molecule LI (None found)

P18627 Lymphocyte-activation gene 3/LAG-3

P25391,

P07942,

P11047 Laminin Q6UX15 Layilin

P18428 Lipopolysaccharide-binding protein

Proto-oncogene tyrosine-protein kinase

P06239

LCK Dasatinib,Ponatinib

Proto-oncogene tyrosine-protein kinase

P06239

LCK Dasatinib,Ponatinib

Q9UIC8 Leucine carboxyl methyltransferase 1 L-Leucine

P80188 Lipocalin 2

Q8N3X6 Transcription factor MLR1

P07195 Lactate dehydrogenase 1 (heart)

P41159 Leptin

P48357 Leptin receptor

P05162 Galectin-2

P17931 Galectin-3

Q08380 Galectin-3 binding protein

P56470 Galectin-4

000214 Galectin-8

Q99538 Legumain

P42702 Leukemia inhibitory factor receptor

extracellular domain

Q8NHL6 Leukocyte immunoglobulin-like receptor

subfamily B member 1

Q8N423 Leukocyte immunoglobulin-like receptor

subfamily B member 2

Q9HAP6 Protein lin-7 homolog B

P20700 Lamin-Bl

P22079 Lactoperoxidase

Leucine-rich repeats and Ig-like domains

Q6UXM1

protein 3

Q14114 Apolipoprotein E receptor 2/LRP8

α-2-macroglobulin receptor-associated

P30533

protein

Q86UE6 Leucine-rich repeat transmembrane

neuronal protein 1

Q86VH5 Leucine-rich repeat transmembrane

neuronal protein 3

Limbic system-associated membrane

Q13449

protein

Tumor necrosis factor ligand

P01374 superfamily member 1/TNF- β/Lymphotoxin-a Etanercept

P01374,

Q06643 Lymphotoxin α1:β2

P01374,

Q06643 Lymphotoxin α2:β1

P09960 Leukotriene A-4 hydrolase

P36941 Lymphotoxin β receptor

P02788 Lactoferrin

Lymphocyte antigen 86/Myeloid

095711

differentiation 1 T-lymphocyte surface antigen Ly-

Q9HBG7

9/CD229

P07948 Lyn kinase, isoform B Bosutinib,Ponatinib

P07948 Lyn kinase Bosutinib,Ponatinib

Q9Y5Y7 Lymphatic vessel endothelial hyaluronic

acid receptor 1

P61626 Lysozyme L-Aspartic Acid

Q02750 MAPK kinase 1 Bosutinib,Trametinib

P36507 MAPK kinase 2 Bosutinib,Trametinib

P45985 MAPK kinase 4

043318

Q15750 TAK1-TAB1 fusion

P28482 MAPK 1 lsoprenaline,Arsenic trioxide

Q15759 MAPK 11 Regorafenib

P53778 MAPK 12

015264 MAPK 13

Q16539 MAPK 14

P27361 MAPK 3/ERK-l Arsenic trioxide,Sulindac

P45983 MAPK 8

Mitogen-activated protein kinase

P45984

9/JNK2

P49137 MAPK-activated protein kinase 2

Q16644 MAPK-activated protein kinase 3

Q8IW41 MAPK-activated protein kinase 5

P10636 Microtubule-associated protein tau Paclitaxel,Docetaxel

Mannan-binding lectin serine peptidase

P48740

1

Megakaryocyte-associated tyrosine-

P42679

protein kinase

000339 Matrilin-2

015232 Matrilin-3

P02144 Myoglobin

095243 Methyl-CpG-binding domain protein 4

P11226 Mannose-binding protein C

P40925 Malate dehydrogenase, cytoplasmic

P21741 Midkine

Q00987 MDM2 ubiquitin ligase

Q15648 Mediator complex subunit 1

Matrix extracellular

Q9NQ76

phosphoglycoprotein

Hepatocyte growth factor receptor/c-

P08581

Met Cabozantinib

P53582 Methionine aminopeptidase 1 Nitroxoline

P50579 Methionine aminopeptidase 2 L-Methionine

Q08431 Milk fat globule-EGF factor 8

Membrane frizzled-related

Q9BY79

protein/MFRP

Q16674 Melanoma Inhibitory Activity

Q29983 MHC class 1 chain-related protein A MICB/MHC class 1 polypeptide-related

Q29980

sequence B

MIF/macrophage migration inhibitory

P14174

factor

Q495T6 Neprilysin-2

Matrix metalloproteinase 1/collagenase

P03956

1 Marimastat

Matrix metalloproteinase

P09238

10/Stromelysin 2 Marimastat

P39900 Matrix metalloproteinase

12/Macrophage metalloelastase Acetohydroxamic Acid,Marimastat

Matrix metalloproteinase

P45452

13/Collagenase 3 Marimastat

Matrix metalloproteinase

P50281 14/Membrane type matrix

metalloproteinase 1 Marimastat

Matrix metalloproteinase

P51512 16/Membrane-type matrix

metalloproteinase 3 Marimastat

Matrix metalloproteinase

Q9ULZ9 17/Membrane-type matrix

metalloproteinase 4 Marimastat

Matrix metalloproteinase 2/Gelatinase

P08253

A Captopril, Marimastat

Matrix metalloproteinase 3/Stromelysin

P08254

1 Marimastat

P09237 Matrix metalloproteinase 7/Matrilysin Marimastat

Matrix metalloproteinase 8/Neutrophil

P22894

collagenase Marimastat

Matrix metalloproteinase 9/Gelatinase

P14780

B Captopril, Glucosamine,Minocycline,Marimastat

P40238 Thrombopoietin Receptor Eltrombopag,Romiplostim

P05164 Myeloperoxidase Mesalazine,Melatonin,L-Carnitine,Cefdinir

P22897 Macrophage mannose receptor

Q9UBG0 Macrophage mannose receptor 2

Q13421 Mesothelin

Q13421 Mesothelin

P26038 Moesin

P21757 Macrophage scavenger receptor

P26927 Macrophage stimulatory protein

Macrophage stimulatory protein

Q04912

receptor

Q02083 Acid ceramidase-like protein

Nascent polypeptide-associated

Q13765

complex a subunit

Q9UJ70 N-acetyl-D-glucosamine kinase N-Acetyl-D-glucosamine

P43490 Visfatin

Q9H9S0 Homeobox transcription factor Nanog

P54920 N-ethylmaleimide-sensitive factor

attachment protein a

Neuroblastoma suppressor of

P41271

tumorigenicity 1 Neural cell adhesion molecule 1, 120

P13591

kDa isoform

P16333 NCK adaptor protein 1

NKp46/NCRl/natural cytotoxicity

076036

triggering receptor 1

Natural cytotoxicity triggering receptor

095944

2

Natural cytotoxicity triggering receptor

014931

3

P01138 β-nerve growth factor Clenbuterol

P14543 Nidogen Urokinase

Q14112 Nidogen-2

Q8N0W4 Neuroligin 4, X-linked

P15531 Nucleoside diphosphate kinase A

P22392 Nucleoside diphosphate kinase B

P30419 N-myristoyltransferase 1

Q13253 Noggin

Family Protein kinase B (RAC family)

Family Protein kinase B (RAC family)

Non-human APOAl_MOUSE

0 0

P46531 Notch 1

Q04721 Notch 2

Q9UM47 Notch 3

Nephroblastoma Overexpressed gene

P48745

homolog Insulin, Insulin Regular

P01161 0

P16860 Brain natriuretic peptide 32 Carvedilol

P20393 NRlDl/nuclear receptor subfamily 1,

group D, member 1

Halobetasol Propionate,Megestrol

acetate,Budesonide,Difluprednate,Clobetasol propionate,Flunisolide,Flumethasone

Pivalate,Prednisone,Diflorasone,Betamethasone,Desoni de,Fluocinolone

P04150 Acetonide,Clocortolone,Mifepristone,Amcinonide,Para methasone,Fluticasone furoate,Cortisone

acetate,Fluocinonide,Methylprednisolone,Fluticasone

Propionate,Flurandrenolide,Fluoxymesterone,Alclomet asone,Hydrocortamate,Loteprednol,Beclomethasone,H ydrocortisone,Prednicarbate,Prednisolone,Ciclesonide,

Desoximetasone,Medrysone,Triamcinolone,Fludrocorti sone,Fluorometholone,Rimexolone,Mometasone,Dexa

Glucocorticoid receptor methasone

NRCAM/neuronal cell adhesion

Q92823

molecule

Q02297 Neuregulin-1

014786 Neuropilin-1 Palifermin,Pegaptanib

P58400 Neurexin-1-β Q9HDB5 Neurexin-3-β

Q9UNZ2 NSFL1 cofactor p47

P20783 Neurotrophin-3

P34130 Neurotrophin-5

Q9HB63 Netrin-4

Neurotrophic tyrosine kinase receptor

P04629

type 1 Amitriptyline,lmatinib,Regorafenib

Neurotrophic tyrosine kinase receptor

Q16620

type 2 Amitriptyline

Neurotrophic tyrosine kinase receptor

Q16288

type 3

Q8IVD9 NudC domain-containing protein 3

P58417 Neurexophilin-1

Q9NX40 Ovarian cancer immunoreactive antigen

domain containing 1

Q6UX06 Olfactomedin-4

Oxidized low-density lipoprotein

P78380

receptor 1

Q99983 Osteomodulin/ Osteoadherin

Q14982 Opioid-binding cell adhesion molecule

P13725 Oncostatin M

P07237 Protein disulfide-isomerase

Q9UQ80 ErbB3 binding protein Ebpl

Platelet-activating factor

P68402 acetylhydrolase IB subunit β/PAFAH

subunit β

075914 p21-activated kinase 3

Q9NQU5 p21-activated kinase 6

Q9P286 p21-activated kinase 7

Q13219 Pregnancy-associated plasma protein-A

Q99497 PARK7/Parkinson protein 7

P12004 Proliferating cell nuclear antigen

Q16549 Proprotein Convertase 7

Q9BQ51 Programmed cell death 1 ligand 2

cAMP and cGMP phosphodiesterase

Q9HCR9

11A/PDE11A Tadalafil

Phosphodiesterase 2A, cGMP-

000408

stimulated Tofisopam

Levosimendan,Cilostazol,Anagrelide,Tofisopam,Amrino

Q14432 cGMP-inhibited cAMP ne,Oxtriphylline,lbudilast,lvlilrinone,Aminophylline,Eno phosphodiesterase 3A/PDE3A ximone,Theophylline

Q08499 cAMP-specific phosphodiesterase Dyphylline,Roflumilast,Adenosine

4D/PDE4D monophosphate,lloprost,lbudilast,Ketotifen

076074 cGMP-binding cGMP-specific Dipyridamole,Udenafil,Avanafil,Vardenafil,Sildenafil,Ta phosphodiesterase/PDE5A dalafil,Pentoxifylline,Theophylline

Q13946 High affinity cAMP-specific

phosphodiesterase 7A/PDE7A Dyphylline,Ketotifen

076083 High affinity cAMP-specific

phosphodiesterase 9A/PDE9A Platelet-derived growth factor A chain

P04085

homodimer

Platelet-derived growth factor B chain

P01127

homodimer

Platelet-derived growth factor C chain

Q9NRA1

homodimer

P09619 Platelet-derived growth factor receptor Pazopanib,Dasatinib,Becaplermin,Sunitinib,Sorafenib,l β-type matinib,Regorafenib

P30101 Protein disulfide isomerase A3

Pyruvate dehydrogenase kinase,

Q15118

isozyme 1

3-phosphoinositide-dependent protein

015530

kinase 1 Celecoxib

Q96GD0 Pyridoxal phosphate phosphatase

Phosphatidylethanolamine-binding

P30086

protein 1

Platelet endothelial cell adhesion

P16284

molecule

000541 Pescadillo

P02776 Platelet factor 4 Drotrecogin alfa

Q99471 Prefoldin subunit 5

P18669 Phosphoglycerate mutase 1

P52209 6-Phosphogluconate dehydrogenase Ketotifen,Dacarbazine,Gadopentetate dimeglumine

P49763 Placenta growth factor Aflibercept

P00558 Phosphoglycerate kinase 1

075594 Peptidoglycan recognition protein, short

P19957 Elafin

P01833 Polymeric immunoglobulin receptor

Phosphoinositide-3-kinase catalytic a

P42336

polypeptide:regulatory subunit la

P27986

complex

P48736 Phosphatidylinositol-4,5-bisphosphate

3-kinase catalytic subunit y isoform

P11309 Proto-oncogene serine/threonine- protein kinase Pim-1 Adenosine monophosphate

P14618 M2-pyruvate kinase Pyruvic acid

015496 Phospholipase A2, Group X

P04054 Phospholipase A2, Group IB Niflumic Acid

P14555 Phospholipase A2, Group IIA lndomethacin,Diclofenac,Suramin,Ginkgo biloba

Q9NZK7 Phospholipase A2, Group IIE Aminosalicylic Acid

P39877 Phospholipase A2, Group V

Platelet-activating factor

Q13093 acetylhydrolase/LDL-associated

phospholipase A2

P00750 Tissue-type plasminogen activator Aminocaproic Acid,lloprost,Urokinase,lbuprofen

P00749 Urokinase-type plasminogen activator Urokinase,Amiloride

Q03405 Urokinase plasminogen activator Anistreplase,Urokinase,Tenecteplase,Reteplase,Altepla surface receptor se

P19174 Phospholipase C-ll Streptokinase,Anistreplase,Aminocaproic

P00747 Acid,Urokinase,Reteplase,Alteplase,Aprotinin,Tranexam

Angiostatin ic Acid,Tenecteplase

Streptokinase,Anistreplase,Aminocaproic

P00747 Acid,Urokinase,Reteplase,Alteplase,Aprotinin,Tranexam

Plasmin ic Acid,Tenecteplase

Streptokinase,Anistreplase,Aminocaproic

P00747 Acid,Urokinase,Reteplase,Alteplase,Aprotinin,Tranexam

Plasminogen ic Acid,Tenecteplase

P53350 Serine-threonine-protein kinase PLK1

060486 Plexin CI

P01189 β-Endorphin Loperamide

P01189 Adrenocorticotropic hormone Loperamide

P27169 Paraoxonase 1 Cefazolin

P16435 NADPH-P450 Oxidoreductase Flavin adenine dinucleotide

Osteoblast-specific transcription factor

Q13950

2

Q15181 Inorganic pyrophosphatase

P02775 Neutrophil-activating peptide 2

P02775 Neutrophil-activating peptide 2

P02775 Connective-tissue activating peptide III

Peptidylprolyl isomerase A (Cyclophilin

P62937

A) Cyclosporine,L-Proline

Peptidylprolyl isomerase A (Cyclophilin

P62937

A) Cyclosporine,L-Proline

P23284 Cyclophilin B L-Proline

Q08752 Peptidylprolyl isomerase D

Peptidylprolyl isomerase E (Cyclophilin

Q9UNP9

E)

Peptidylprolyl isomerase F (Cyclophilin

P30405

F) L-Proline

Q08209

P63098 Calcineurin

P63098 Calcineurin subunit B type 1

P01298 Pancreatic hormone

Q06830 Peroxiredoxin-1

P30044 Peroxiredoxin-5 Auranofin

P30041 Peroxiredoxin-6

Q13131

Q9Y478

P54619 AMP Kinase (αΐβΐγΐ)

P54646

043741

P54619 AMP Kinase (α2β2γ2)

cAMP-dependent protein kinase

P17612

catalytic subunit a

P17252 Protein kinase C a Phosphatidylserinejngenol Mebutate, Vitamin E

P05771 Protein kinase C β type (splice variant II) Vitamin E

Q05655 Protein kinase C A Ingenol Mebutate

P05129 Protein kinase C y P41743 Protein kinase C L

Q04759 Protein kinase C Θ

Q05513 Protein kinase C ζ

P01236 Prolactin

P16471 Prolactin receptor Somatropin recombinant,Fluoxymesterone

P04070 Protein C Menadione,Sodium Tetradecyl Sulfate

P04070 Activated Protein C Menadione,Sodium Tetradecyl Sulfate

P04070 Activated Protein C Menadione,Sodium Tetradecyl Sulfate

P58294 Endocrine-gland-derived vascular

endothelial growth factor

P07225 Protein S Menadione,Sodium Tetradecyl Sulfate,Drotrecogin alfa

P07477 Trypsin Aprotinin

P07478 Trypsin-2

Q9GZN4 Brain-specific serine protease 4

Q9BQR3 Marapsin

P35030 Trypsin-3

P98073 Enterokinase

P24158 Proteinase-3

P25786 Proteasome subunit al

P25787 Proteasome subunit ct2

P60900 Proteasome subunit a type 6

P51665 Proteasome subunit p40

Q06323 Proteasome activator subunit 1

P61289 Proteasome activator complex subunit 3

060542 Persephin

P60484 Phosphatase and tensin homolog

lndomethacin,Niflumic Acid,Dihomo-y_-linolenic acid,Sulfasalazine,Nepafenac,Etoricoxib,Lumiracoxib,Br omfenac,Antipyrine,Tenoxicam,Fenoprofen,Lornoxicam

,Naproxen,Etodolac,Oxaprozin,Ginseng,Piroxicam,Trisal icylate-choline,Thalidomide,Flurbiprofen,Salicylate-

P35354 sodium,Acetylsalicylic acid,Mefenamic

acid,Meloxicam,Diflunisal,lvleclofenamic

acid,Mesalazine,Sulindac,Acetaminophen,Salsalate,Ami nosalicylic

Acid,Celecoxib,Diclofenac,lbuprofen,Nabumetone,Balsa lazide,Pomalidomide,Ketoprofen,Tolmetin,Carprofen,Ti aprofenic acid,Phenylbutazone,Ketorolac,Salicyclic acid,Antrafenine,Suprofen,IVlagnesium

Cyclooxygenase-2 salicylate,Lenalidomide,lcosapent

P01270 Parathyroid hormone

P12272 Parathyroid hormone-related protein

Q05397 Focal adhesion kinase 1

Q13882 Tyrosine-protein kinase 6 Vandetanib

P21246 Pleiotrophin

Tyrosine-protein phosphatase non¬

P18031

receptor type 1 Tiludronate Tyrosine-protein phosphatase non¬

Q06124

receptor type 11

Tyrosine-protein phosphatase non¬

P17706

receptor type 2

P29350 Tyrosine phosphatase SHP-1

P10082 Peptide YY

Ras-related C3 botulinum toxin

P63000

substrate 1

Q06609 DNA repair protein RAD51 homolog 1

P62826 GTP-binding nuclear protein Ran

Q99969 Chemerin

P20936 RAS p21 protein activator

P06400 Retinoblastoma 1 Insulinjnsulin Regular

Q14498 RNA-binding motif protein 39

P02753 Retinol-binding protein 4

Q969Z4 RELT tumor necrosis factor receptor

P00797 Renin Remikiren,Aliskiren

Proto-oncogene tyrosine-protein kinase

P07949

receptor Ret Cabozantinib,Sorafenib,Ponatinib,Regorafenib

Q9HD89 Resistin

Q96B86 Repulsive guidance molecule A

Q6NW40 RGM domain family member B

Roundabout axon guidance molecule 2,

Q9HCK4

ROB02

Roundabout axon guidance molecule 3,

Q96MS0

ROB03

Q01973 Tyrosine-protein kinase transmembrane

receptor ROR1

Ubiquitin+1, truncated mutation for

P62979

UbB

P62979 Ubiquitin

P23396 Ribosomal protein S3

P51812 Ribosomal protein S6 kinase a-3

075582 Ribosomal protein S6 kinase 5

P62081 Ribosomal protein S7

P08865 Laminin receptor/ribosomal protein SA

Q6UXX9 Roof plate-specific spondin-2, isoform 1

Q9NQC3 Reticulon-4/Nogo-A

Q9BZR6 Nogo Receptor/reticulon 4 receptor

P06702 S100A9/calgranulin B

P02735 Serum amyloid A

Q9Y3A5 Ribosome maturation protein SBDS

Q14108 LIMPII/SCARB2

Scavenger receptor class F member

Q14162

1/SREC-l

Scavenger receptor class F member

Q96GP6

2/SREC-ll

075556 Mammaglobin-B

P09683 Secretin

P16581 E-Selectin P14151 L-Selectin

P16109 P-Selectin Dalteparin,Nadroparin, Heparin

Q14563 Semaphorin 3A

015041 Semaphorin-3E

Q9H2E6 Semaphorin-6A

Q9H2E6 Semaphorin-6A

P01009 al-Antitrypsin

P01011 al-Antichymotrypsin

P29622 Kallistatin

P05154 Protein C Inhibitor Urokinase,Drotrecogin alfa

P08185 Corticosteroid binding globulin

P05543 Thyroxine-Binding Globulin

P01008 Tinzaparin,Dalteparin,Nadroparin,Fondaparinux

Antithrombin III sodium, Sulodexide,Ardeparin,Enoxaparin, Heparin

P05546 Heparin cofactor II Ardeparin,Sulodexide

P05121 Anistreplase,Urokinase,Reteplase,Alteplase,Tenectepla

Plasminogen activator inhibitor 1 se,Drotrecogin alfa

P07093 Protease nexin 1

P08697 a2-Antiplasmin Ocriplasmin

P05155 Cl-Esterase Inhibitor

Q01105 SET nuclear oncogene protein

Q6UXD5 Seizure 6-like protein 2

P31947 14-3-3o/Stratifin

Q8N474 Frizzled-related protein 1, secreted

Pulmonary surfactant-associated

P35247

protein D

043765 Small glutamine-rich tetratricopeptide

repeat-containing protein a

Signaling lymphocyte activation

060880

molecule/CDwl50

P04278 Sex hormone-binding globulin

P29353 SHC-transforming protein 1

Q15465 Sonic Hedgehog

Q9BZZ2 Sialoadhesin

Q08ET2 Siglec-14

043699 Siglec-6

Q9Y286 Siglec-7

Q9Y336 Siglec-9

Q8IXJ6 Sirtuin 2

P63208 S-phase kinase-associated protein 1

Q96DU3 SLAM family member 6/NTB-A

Q9NQ25 SLAM family member 7/CRACC

Q9H1K4 Mitochondrial glutamate carrier 2

094991 SLIT and NTRK-like protein 5

P03973 Secretory leukocyte protease inhibitor

Sphingomyelin phosphodiesterase, acid¬

Q92484

like 3A

P62306 Small nuclear ribonucleoprotein F 095219 Sorting nexin 4

P00441 Superoxide dismutase [Cu-Zn]

P04179 Superoxide dismutase [Mn]

Sortilin-related VPS10 domain

Q96PQ0

containing receptor 2

P09486 Osteonectin

Q14515 SPARC-like 1 (hevin)

Q9NYA1 Sphingosine kinase 1

Q9NRA0 Sphingosine kinase 2

Hepatocyte growth factor activator

043278

inhibitor type 1

043291 Kunitz-type protease inhibitor 2A

Q08629 Testican-l/SPOCKl

Q92563 Testican-2/SPOCK2

Q9HCB6 Spondin-1

Q13813 all-Spectrin

Proto-oncogene tyrosine-protein kinase

P12931

Src Dasatinib,Bosutinib,Ponatinib

Q08945 FACT complex subunit SSRP1

P61278 Somatostatin-28 Cysteamine

Q8WWQ8 Stabilin-2

P52823 Stanniocalcin-1

P31948 Stress-induced-phosphoprotein 1

075716 Serine-threonine-protein kinase 16

Serine/threonine kinase 17b

094768

(STK17B)/DRAK2

Q16623 Syntaxin 1A

Heterogeneous nuclear

060506

ribonucleoprotein Q

Tumor-associated calcium signal

P09758

transducer 2

Q9UHD2 TANK-binding kinase 1

P20226 TATA-box-binding protein

P13385 Cripto-1

P42680 Tyrosine-protein kinase Tec

Q02763 Tyrosine-protein kinase receptor Tie-2,

soluble/Angiopoietin-1 receptor Vandetanib,Ponatinib,Regorafenib

P02787 Transferrin Aluminium

Q07654 Trefoil factor 3

P10646 Tissue factor pathway inhibitor Dalteparin,Coagulation factor Vila

P01266 Thyroglobulin

P01137 Transforming growth factor β-1 Hyaluronidase

P61812 Transforming growth factor β-2

P10600 Transforming growth factor β-3

Transforming growth factor β induced

Q15582

protein

P37173 TGF-β receptor II

Transforming growth factor β receptor

Q03167

type III Q08188 Transglutaminase 3

P07996 Thrombospondin-1

P35442 Thrombospondin-2

P35443 Thrombospondin-4

Tyrosine-protein kinase receptor Tie-1,

P35590

soluble

P01033 Tissue inhibitor of metalloproteinases 1

P16035 Tissue inhibitor of metalloproteinases 2

P35625 Tissue inhibitor of metalloproteinases 3

P04183 Thymidine kinase, cytosolic

P29401 Transketolase

060603 Toll-like receptor 2 OspA lipoprotein

000206 Toll-like receptor 4 Naloxone

P24821 Tenascin

Thalidomide,Chloroquine,golimumab,Adalimumab,Pran

P01375 lukast,Certolizumab

Tumor necrosis factor ligand pegol,Clenbuterol,Amrinone,Pomalidomide,Glucosamin superfamily member 2/TNF-a e,Etanercept,lnfliximab

Tumor necrosis factor-inducible gene 6

P98066

protein

000220 Tumor necrosis factor receptor

superfamily member 10A

Q9UBN6 Tumor necrosis factor receptor

superfamily member 10D

Q9Y6Q6 Receptor activator of NF-KB/RANK

000300 Osteoprotegerin/TNFRSFllB

Q9NP84 TWEAK receptor/TNFRSF12A

014836 Tumor necrosis factor receptor

superfamily member 13B

B-cell-activating factor

Q96RJ3

receptor/TNFRSF13C

Q92956 HVEM/TNFRSF14

Q02223 B-cell maturation protein

Q9Y5U5 GITR/TNFRSF18

Q9NS68 TROY/TNFRSF19

P19438 Tumor necrosis factor receptor

superfamily member 1A

P20333 Tumor necrosis factor receptor

superfamily member IB Etanercept

075509 Death receptor 6(DR6)/TNFRSF21

Q93038 Death receptor 3 (DR3)/TNFRSF25

Tumor necrosis factor receptor

P43489

superfamily member 4

Death decoy receptor 3

095407

(DcR3)/TNFRSF6B

P28908 CD30 Brentuximab vedotin

Q07011 4-1BB/CD137

014788 Osteoprotegerin ligand/TRANCE Denosumab,Lenalidomide Tumor necrosis factor ligand

043508

superfamily member 12

Q9Y275 B-cell-activating factor Belimumab

043557 LIGHT/TNFSF14

Tumor necrosis factor ligand

095150

superfamily member 15

Tumor necrosis factor ligand

Q9UNG2

superfamily member 18

P23510 0X40 Ligand/Tumor necrosis factor

ligand superfamily member 4

P32971 CD30 Ligand

P41273 4-1BB ligand/CD137L

P27768 0

P23693 0

P11387 lrinotecan,Topotecan,Lucanthone,Sodium

Topoisomerase 1 stibogluconate

P60174 Triosephosphate isomerase

P09493 Tropomyosin 1

P07951 Tropomyosin β chain

P07202 Dextrothyroxine,Propylthiouracil,Carbimazole,Methima

Thyroid peroxidase zole

P20231 Tryptase β-2

Q9NRR2 Tryptase y

P13693 Fortilin

Q969D9 Thymic stromal lymphopoietin

Thioredoxin domain-containing protein

095881

12 Glutathione

P29597 tyrosine kinase 2

Pemetrexed,Trimethoprim,Fluorouracil,Leucovorin,Ge

P04818 mcitabine,Pralatrexate,Capecitabine,Raltitrexed,Trifluri

Thymidylate synthase dine,Floxuridine

Q06418 Tyrosine-protein kinase receptor TYR03

P63279 SUMO-conjugating enzyme UBC9

P68036 Ubiquitin-conjugating enzyme E2 L3

P61088 Ubiquitin-conjugating enzyme E2 N

P09936 Ubiquitin C-terminal hydrolase-Ll

Ubiquitin-fold modifier-conjugating

Q9Y3C8

enzyme 1

P61960 Ubiquitin-fold modifier 1

Q9BZM6 UL16-binding protein 1/NKG2D ligand 1

Q9BZM5 UL16-binding protein 2/NKG2D ligand 2

Q9BZM4 UL16 binding protein 3

095185 Netrin receptor UNC5H3

Q6UXZ4 Netrin receptor UNC5H4

Vascular cell adhesion protein 1/VCAM

P19320

1 Carvedilol

P15692 Dalteparin,Carvedilol,Gliclazide,Vandetanib,Ranibizuma

Vascular endothelial growth factor A b,Bevacizumab,Minocycline,Aflibercept P15692 Vascular endothelial growth factor A, Dalteparin,Carvedilol,Gliclazide,Vandetanib,Ranibizuma secreted splice variant b,Bevacizumab,Minocycline,Aflibercept

P49767 Vascular endothelial growth factor C

P01282 Vasoactive Intestinal Peptide

Q9NP79 Dopamine responsive protein

P04275 von Willebrand factor Antihemophilic Factor

Growth and differentiation factor-

Q8TEU8 associated serum protein

1/GASP1/WFIKKN2

Q9Y5W5 Wnt inhibitory factor 1

WNTl-inducible-signaling pathway

095388

protein 1

000755 Wingless-type MMTV integration site

family, member 7A

P47992 Lymphotactin

Q9NQW7 X-Pro aminopeptidase 1

ATP-dependent DNA helicase II 70 kDa

P12956

subunit

Proto-oncogene tyrosine-protein kinase

P07947

Yes Dasatinib

Family 14-3-3 protein family

Family 14-3-3 protein family

ZAP70/70 kDa zeta-associated protein

P43403

kinase

ZAP70/70 kDa zeta-associated protein

P43403

kinase

ZAP70/70 kDa zeta-associated protein

P43403

kinase

Example 2

Table 12 shows proteins that have differential expression in Duchene muscular dystrophy (DMD) and non-DMD subjects identified utilizing the aptamer-based compositions and methods described herein.

Table 12

Pictographs were generated plotting the relative protein expression levels (RFU) vs. age (years) of subjects in both non-DMD and DMD boys. Proteins that are different between the control and the DMD subjects are shown in Figure 4, where the protein decreases in the DMD subject while the same protein increases in the control.

Several animal models find use with the methods and compositions of the invention for identifying, modulating and monitoring drug targets in muscular disease. Male mice (e.g., MDx strains) have been maintained without a functional dystrophin. While these mice are not normal, the phenotype is not as severe as the phenotypes of DMD patients. The MDx mouse model becomes more severe and more like the human disease when a second knock-out is added to the dystrophin mutation (a common second mutation is in the utrophin gene). Thus, in one embodiment, GDF-11 can be administered to subject (e.g. mouse model of DMD) in order to ameliorate the symptoms of the subject (e.g., DMD symptoms of the MDx mouse and MDx- utrophin-less mouse. One of ordinary skill in the art knows well method for identifying a therapeutically effective dose. For example, it is possible to first analyze the required GDF-11 injection doses and injection schedule to maintain the circulating GDF-11 concentration at or near a wild-type level, and the determined dose could be used in the dystrophin and dystrophin- utrophin models. In addition, dog and pig dystrophin knock-outs can also be treated with injected GDF-11. For humans, dosing pharmacokinetics and safety can be to be established. After preclinical safety/toxicity experiments have been completed to regulatory standards, a drug concentration is identified at which toxicity starts, and the target organs for toxicity identified. In one non-limiting example, human experiments are performed in single escalating dose experiments followed by multiple dose escalation experiments, usually in healthy volunteers although in this case it might be better done in DMD subjects depending on discussion with an IRB and with parent organizations because the pharmacokinetics (PK) in 18-45 year old healthy volunteers might be different. If required by such discussions, the PK experiments might need to be performed in healthy adults first and then confirmed in smaller groups of DMD children. For single dose, groups of 8 subjects (randomized to 8 active and 2 placebo per group) receive a subcutaneous and/or intramuscular injection. Blood samples are taken in a time series, typically at 0, 0.5, 1 , 2, 4, 8, 24, 48 and a few days after the injection. Doses would be calculated using the mouse pharmacology and toxicity data to start at a level below any active level, and the PK and safety checked in each group before the next escalation. Subsequent groups often go up in half log dose steps until adverse effects are experienced or until a predefined stopping rule for a concentration. Typically 6 or more dose escalations are performed before a limiting adverse effect but this can be dependent upon the pharmacology.

Multiple dose studies are similar in group size and usually last 2 weeks to establish safety and steady-stake PK. These studies may use the single dose experiments' information as a starting point so the initial dose is likely to be higher. Using the PK results from single dose, a dosing regimen can be defined which is likely to achieve a target concentration or which ensures that it does not fall below a defined trough. This may be once, twice or three times a day. If there is uncertainty, the multiple dose experiment might use more than one dosing regimen. Initially if the PK is short, dosing regimens can be used which would not be practical on a large scale but which will test the hypothesis; if efficacy is achieved PK can be improved and regimens made more practical through slow release formulations.

Efficacy experiments can be performed in subjects with DMD using the regimens identified in the multiple dose PK study which achieved the target concentration (e.g. matching the normal concentration or higher). Typically a phase Ila efficacy experiment would test placebo plus 2-3 doses and dosing regimens. Groups may be of the order of 20 subjects each, selected to be early enough in the disease such that improvement is possible, and the study duration would be estimated to be long enough to see trends efficacy differences, not necessarily with each group reaching statistically significant - this may be 3-6 months or an adaptive design could be used where a data safety monitoring board lets the study continue until either futility or a difference is apparent. Metrics for efficacy may include 6 minute walk, muscle MRI, muscle biopsy and blood based biomarkers using SOMAscan and/or immunoassays. Trends in the right direction would lead to a phase lib program which would use the phase Ila metrics to define a statistically powered size and duration. If the dosing regimen required is impractical, slow release formulations would be developed, go through the single and multiple dose PK and then into phase lib.

Example 3

Table 13 shows a summary of the fold expression difference in protein levels of the metalloproteinase (MMP) family members from tumor tissue versus healthy adjacent tissue for about 258 subjects with lung cancer (categorized as adenocarcinoma, squamous cell, carcinosarcoma, large cell, mucoepidermoid, spindle cell, benign, pleomorphic carcinoma, pleomorphic-adenocarcinoma, and benign with history of cancer). Individual subjects, irrespective of the specific lung cancer diagnosis, show differential MMP expression levels (overexpressed or underexpressed in tumors). The drug marimastat antagonizes MMP family members, and therefore is useful in treating cancer having one or more overexpressed MMPs. Preclinical studies showed that antagonizing MMP function or expression inhibits tumor growth (e.g., in breast cancer models).

Table 13: Summary of the different MMP family members and the number of subjects having an expression level difference of four fold or greater based on tumor tissue proteins levels versus healthy adjacent tissue protein levels.

In this study, no correlation was found with the specific lung cancer diagnosis, the of the cancer, the sex of the patient or the genetic information (e.g., gene mutation; several subjects had the BRAF, EGFR or KRAS mutation). The independence of the proteomic information, specifically for the MMP family members, may be informative as to the treatment regime that should be used for each individual.

A recent phase III clinical trial testing the efficacy of marimastat (MMP antagonist) in subjects having metastatic breast cancer showed that there was no significant difference between the marimastat treated subjects and those that received the placebo. In general, the conclusion from the trial was that marimastat was not effective in stopping and/or slowing breast cancer disease progression.

While the proteomic data summarized in Table 13 was derived from lung cancer patients, the observed heterogeneity of the MMP family members in these lung cancer subj ects may be indicative of what may be observed in other cancer types (e.g., breast cancer).

Accordingly, this heterogeneity may be, in part, the reason why certain anti-cancer drugs and/or treatments result in heterogeneous outcomes and/or insignificant efficacy. In this context, one may propose that treatment regimens for cancer patients and/or patients in clinical trials may be stratified based on individualized proteomic profiles, in place of, or in addition to, standard pathology and/or genetic testing. Thus, applying this reasoning to the phase III clinical trial for marimastat with breast cancer patients discussed previously, these patients could have been selected for treatment with marimastat based on the overexpression levels of MMP family members, rather than standard diagnostic methods. For lung cancer patients, the same treatment selection and/or clinical trial stratification could be applied. In effect, treatment regimens and/or clinical trial stratifications could be selected based on the expression levels of a particular protein or set of proteins whereby a 4, 10, 20 or 50-fold difference between tumor protein levels and healthy tissue levels would indicate whether an individual is likely to respond to treatment with a particular drug, such as a drug that targets (e.g., antagonizes) the protein with the elevated expression levels.

Example 4

Table 14 provides a list of drug names that target specific proteins. Each row provides the drug-protein association or where the protein target for the drug corresponds (corresponds in the context of table 14 indicates that the protein shares the same row with the drug name of the table. This table may be used as a reference for developing a personalized treatment plan based on aberrant protein expression in an individual. For example, the reference table may be used where an individual may suffer from specific condition or disease and have up-regulated levels of Serine/threonine-protein kinase Chkl by about 4, 10, 20 or 50-fold relative to a reference control protein level. Thus, in one embodiment a method for selecting a subject for treatment with a drug the method comprising, detecting the level of at least one protein from Table 14 from a biological sample from the subject, determining the fold difference of the level of the at least one protein from table 14 form the biological sample compared to a reference control sample, selecting the subject for treatment with a drug from table 14 that corresponds to the at least on protein from table 14, wherein the subject is treated with the drug selected from table 14 when the fold difference of the level of the at least one protein from table 14 is at least 4-fold, 10-fold, 15-fold, 20-fold, 25-fold, 30-fold, 35-fold, 40-fold, 45-fold or 50-fold from the biological sample compared to the reference control, and wherein the subject is in need of treatment and is administered the drug for treatment based on the fold difference of the level of the at least one protein from Table 14.

Table 14: List of drugs that target proteins

Integrin beta-7 TR-14035, TTDC00031 Clinical trial P26010 target

Tyrosine-protein Sodium, TTDC00032 Clinical trial P29350 phosphatase non-receptor target

type 6

Interleukin-12 STA-5326, TTDC00033 Successful P29459 target

MAP kinase p38 4,5,6,7- TTDC00044 Clinical trial P53778 tetrabromobenzotriazole, target

Ephrin type-B receptor 4 TG-100435, TTDC00045 Clinical trial P54760 target

Induced myeloid leukemia ALTENUSIN, TTDC00048 Clinical trial Q07820 cell differentiation protein target

Mcl-1

Carboxypeptidase B2 (+/-)-5-amino-2- TTDC00053 Discontinued Q96IY4

(mercaptomethyl)pentanoic, target

Cathepsin S 2-[(2',3',4'- TTDC00067 Discontinued P25774

TRIFLUOROBIPHENYL- target

2-YL)OXY] ETH ANOL,

92 kDa type IV (+/-)5-(biphenyl-4-yl)-3- TTDC00076 Discontinued P14780 collagenase hydroxypentanoic, target

Protein kinase C, delta 13-Acetylphorbol, TTDC00077 Clinical trial Q05655 type target

Interleukin-4 receptor TTDC00081 Clinical trial P24394 alpha chain target

CI esterase Cl-INH, TTDC00085 Successful P09871 target

Thromboxane-A synthase 2-(10-Imidazol-l-y 1-decy 1)- TTDC00086 Clinical trial P24557 isoindole-l,3-dione, target

Cell division protein (2'Z,3'E)-5-Chloro-5'- TTDC00088 Clinical trial P24941 kinase 2 chloro-indirubin-3 '-oxime, target

Purine nucleoside (+/-)-5'-deoxy-4'-fluoro-5'- TTDC00091 Clinical trial P00491 phosphorylase methylthio-DADMe-ImmH, target

E-selectin lna, TTDC00098 Clinical trial P16581 target

Hypoxia-inducible factor 1 HIF-lalpha, TTDC00101 Clinical trial Q16665 alpha target Mitogen-activated protein 2,6-Dihydroanthra/l,9- TTDC00102 Clinical trial P45983 kinase 8 Cd/Pyrazol-6-One, target

Macrophage migration 3 ,4-Dihy droxy cinnamic, TTDC00103 Clinical trial P14174 inhibitory factor target

Von Willebrand factor Auryntricarboxylic, TTDC00108 Clinical trial P04275 target

STAT-1 transcription AVT-02, TTDC00113 Clinical trial P42224 factor target

Receptor protein-tyrosine CI-1033, TTDC00114 Discontinued Q15303 kinase erbB-4 target

Platelet-activating factor (1R)-1,2,2- TTDC00116 Clinical trial Q13093 acetylhydrolase TRIMETHYLPROPYL, target

Cellular tumor antigen p53 l-(9-ethyl-9H-carbazol-3- TTDC00118 Clinical trial P04637 y 1) -N-me thy Imethanamine , target

Transcription factor AP-1 PNRI-299, TTDC00119 Clinical trial P05412 target

Leukotriene B4 receptor 1 (3S,4R)-3-Benzyl-7- TTDC00129 Clinical trial Q15722 isopropyl-chroman-4-ol, target

Leukotriene A-4 hydrolase (4-(thiophen-2- TTDC00130 Clinical trial P09960 yl)phenyl)methanamine, target

Interleukin-7 receptor TTDC00136 Clinical trial P16871 alpha chain target

Neural-cadherin TTDC00137 Clinical trial P 19022 target

Serine/threonine protein AT-9283, TTDC00139 Clinical trial Q96GD4 kinase 12 target

Phosphatidylinositol-4,5- 2-(4-Morpholinyl)-8- TTDC00140 Clinical trial P48736 bisphosphate 3 -kinase Pheny l-4h- 1 -Benzopyran-4- target

catalytic subunit, gamma One,

isoform

Hexokinase D Beta-D-Glucose, TTDC00141 Clinical trial P35557 target

mRNA of Clusterin TTDC00142 Clinical trial PI 0909 target

Fructose-1,6- 1 -(2-mercaptoethyl)-3-(m- TTDC00152 Clinical trial P09467 bisphosphatase tolylsulfonyl)urea, target Tyrosine-protein kinase ELLAGIC, TTDC00156 Clinical trial P43405 SYK target

Serine/threonine -protein BI, TTDC00160 Clinical trial P53350 kinase PLK1 target

Angiopoietin 1 receptor (4-Phenoxy -phenyl) - TTDC00161 Discontinued Q02763 quinazolin-4-yl-amine, target

Protein kinase C, beta type (-) -Cercosporamide , TTDC00163 Clinical trial P05771 target

Cell division control (2 , 6-Diamino -py ridin-3 -y 1) - TTDC00166 Clinical trial P06493 protein 2 homolog phenyl-methanone, target

Antiapoptotic protein 4'-FLUORO-l,l'- TTDC00168 Clinical trial Q07817 BCL-XL BIPHENYL-4- target

CARBOXYLIC,

PDE4 (R) -Rolipram, TTDC00170 Clinical trial Q08499 target

Interleukin-13 Anti-IL13, TTDC00177 Clinical trial P35225 target

Protein kinase C, theta 2,3,3-Triphenyl- TTDC00178 Clinical trial Q04759 type acrylonitrile, target

Amyloid beta A4 protein 1 ,6-Bis(4'-hy droxypheny 1)- TTDC00180 Successful P05067 hexa-l,3,5-triene, target

Protein kinase C, alpha (-)-Cercosporamide, TTDC00182 Clinical trial P17252 type target

Interleukin-9 MEDI-528, TTDC00186 Clinical trial P15248 target

Tumor necrosis factor receptor superfamily member 16 TTDC00189 Clinical trial P08138 target

Protein-tyrosine 1,2,5-THIADIAZOLIDIN- TTDC00191 Clinical trial P18031 phosphatase, non-receptor 3 -ONE- 1,1 -DIOXIDE, target

type 1

mRNA of Intercellular A-286982, TTDC00192 Clinical trial P05362 adhesion molecule- 1 target

Mitogen-activated protein (5 -amino- 1 -phenyl- 1 H- TTDC00201 Clinical trial Q16539 kinase 14 pyrazol-4- target

yl)phenylmethanone,

Ubiquitin-protein ligase R7112, TTDC00206 Successful Q00987 E3 Mdm2 target Angiopoietin-2 AMG, TTDC00210 Clinical trial 015123 target

Connective tissue growth FG-3019, TTDC00213 Clinical trial P29279 factor target

Interleukin-17 AIN457, TTDC00214 Clinical trial Q16552 target

Tumor necrosis factor receptor superfamily member 4 TTDC00219 Clinical trial P43489 target

Sodium- and chloride -dependent glycine transporter 1 TTDC00227 Clinical trial P48067 target

Interleukin-1 receptor, TTDC00234 Clinical trial P27930 type II target

Bcl-2-like protein 2 ABT-263, TTDC00244 Clinical trial Q92843 target

Synaptic vesicle Brivaracetam, TTDC00246 Clinical trial Q7L0J3 glycoprotein 2A target

Mucosal addressin cell TTDC00248 Clinical trial Q13477 adhesion molecule 1 target

Pigment epithelium- AdPEDR, TTDC00252 Clinical trial P36955 derived factor target

Ciliary neurotrophic factor TTDC00257 Clinical trial P26992 receptor alpha target

Beta-2-glycoprotein 1 Alpha-D-Mannose, TTDC00264 Clinical trial P02749 target

Tumor necrosis factor receptor superfamily member 10B TTDC00266 Clinical trial 014763 target

mRNA of Heat shock 27 BIRB796, TTDC00269 Clinical trial P04792 kDa protein target

Myc proto-oncogene TWS-119, TTDC00271 Clinical trial P01106 protein target

Transforming growth TTDC00272 Clinical trial P61812 factor beta 2 target

Baculoviral IAP repeat- Terameprocol, TTDC00273 Clinical trial 015392 containing protein 5 target

Alpha platelet-derived ( 1 H-indol-2-y 1) (5 -methoxy - TTDC00311 Discontinued P16234 growth factor receptor 1 H-indol-2-y l)methanone, target Nicotinic acid receptor lH-Pyrazole-3-carboxylic, TTDC00317 Successful Q8TDS4 target

mRNA of copper zinc superoxide dismutase 1 TTDC00325 Clinical trial P00441 target

Complement factor D TTDC00326 Clinical trial P00746 target

mRNA of Factor XI TTDC00330 Clinical trial P03951 target

Apolipoprotein B-100 SPC4955, TTDC00331 Successful P04114 target

mRNA of VEGFR1 (2-Methoxy-phenyl)-(5- TTDC00334 Clinical trial PI 7948 phenyl-oxazol-2-yl)-amine, target

mRNA of connective TTDC00335 Clinical trial P29279 tissue growth factor target

CD70 TTDC00337 Clinical trial P32970 target

Activin receptor-like ACE-041, TTDC00338 Clinical trial P37023 kinase- 1 target

Nectin-4 TTDC00343 Clinical trial Q96NY8 target

mRNA of growth TTDC00345 Clinical trial P10912 hormone receptor target

References

Kris MG, Johnson BE, Berry LD, Kwiatkowski DJ, Iafrate AJ, Wistuba, II, Varella- Garcia M, Franklin WA, Aronson SL, Su PF, Shyr Y, Camidge DR, Sequist LV, Glisson BS, Khuri FR, Garon EB, Pao W, Rudin C, Schiller J, Haura EB, Socinski M, Shirai K, Chen H, Giaccone G, Ladanyi M, Kugler K, Minna JD, Bunn PA: Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. JAMA 2014, 311 : 1998-2006.

Gray SW, Hicks-Courant K, Cronin A, Rollins BJ, Weeks JC: Physicians' attitudes about multiplex tumor genomic testing. Journal of Clinical Oncology 2014, 32: 1317-1323.

Lex, Geoff Baird, Dan Theodorescu, and David Cooper have to help with the last section, along with Steve Williams and Fintan Steele Mehan MR, Ayers D, Thirstrup D, Xiong W, Ostroff RM, Brody EN, Walker JJ, Gold L, Jarvis TC, Janjic N, Baird GS, Wilcox SK: Protein signature of lung cancer tissues. PLoSOne 2012, 7:e35157.

Doebele RC, Lu X, Sumey C, Maxson DA, Weickhardt AJ, Oton AB, Bunn PA, Jr., Baron AE, Franklin WA, Aisner DL, Varella-Garcia M, Camidge DR: Oncogene status predicts patterns of metastatic spread in treatment-naive nonsmall cell lung cancer. Cancer 2012, 118:4502-4511.

Su Z, Dias-Santagata D, Duke M, Hutchinson K, Lin YL, Borger DR, Chung CH, Massion PP, Vnencak-Jones CL, Iafrate AJ, Pao W: A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell lung cancer. The Journal of molecular diagnostics : JMD 2011, 13:74-84.

Gold L, Ayers D, Bertino J, Bock C, Bock A, Brody EN, Carter J, Dalby AB, Eaton BE, Fitzwater T, Flather D, Forbes A, Foreman T, Fowler C, Gawande B, Goss M, Gunn M, Gupta S, Halladay D, Heil J, Heilig J, Hicke B, Husar G, Janjic N, Jarvis T, Jennings S, Katilius E, Keeney TR, Kim N, Koch TH, et al: Aptamer-based multiplexed proteomic technology for biomarker discovery. PLoSOne 2010, 5: el 5004.

Mehan MR, Ostroff R, Wilcox SK, Steele F, Schneider D, Jarvis TC, Baird GS, Gold L, Janjic N: Highly multiplexed proteomic platform for biomarker discovery, diagnostics, and therapeutics. AdvExpMedBiol 2013, 735:283-300.

Vaught JD, Bock C, Carter J, Fitzwater T, Otis M, Schneider D, Rolando J, Waugh S,

Wilcox SK, Eaton BE: Expanding the chemistry of DNA for in vitro selection. JAmChemSoc 2010, 132:4141-4151.

Kraemer S, Vaught JD, Bock C, Gold L, Katilius E, Keeney TR, Kim N, Saccomano NA, Wilcox SK, Zichi D, Sanders GM: From SOMAmer-based biomarker discovery to diagnostic and clinical applications: a SOMAmer-based, streamlined multiplex proteomic assay. PLoSOne 2011, 6:e26332.

All publications and patents mentioned in the above specification are herein incorporated by reference. Various modifications and variations of the described method and system of the invention will be apparent to those skilled in the art without departing from the scope and spirit of the invention. Although the invention has been described in connection with specific preferred embodiments, it should be understood that the invention as claimed should not be unduly limited to such specific embodiments. Indeed, various modifications of the described modes for carrying out the invention that are obvious to those skilled in molecular biology, in vitro fertilization, development, or related fields are intended to be within the scope of the following claims.