Title:
TUMOR ANALYSIS SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/138351
Kind Code:
A1
Abstract:
The present invention provides a system for analyzing the composition of cells in a tumor specimen. This system is characterized by including at least a calculation unit and is characterized in that at least one storage apparatus included in the system or connected to the system includes: the cell composition of a cancer clone obtained from cells included in the tumor specimen on the basis of gene mutation information; and the cell composition of normal cells obtained from cells included in the tumor specimen on the basis of a gene expression level, the system also being characterized in that the calculation unit executes: a step for adjusting the abundance ratios of each cell species, such that the total of the abundance ratios of each cell species is X (X is a constant of 0 to 1 inclusive and is a parameter designated by a user of the system) with respect to the cell composition of the cancer clone and the cell composition of the normal cells read out from the storage apparatus while taking it into consideration that normal cells are included in the unclassified cells out of the cell composition of the cancer clone; and a step for outputting the cell composition of the tumor specimen after the adjustment.
Inventors:
ABE SACHIHO (JP)
YASUDA TOMOHIRO (JP)
YASUDA TOMOHIRO (JP)
Application Number:
PCT/JP2021/046157
Publication Date:
June 30, 2022
Filing Date:
December 14, 2021
Export Citation:
Assignee:
HITACHI LTD (JP)
International Classes:
C12M1/34; A61K45/00; A61P35/00; C12Q1/06; C12Q1/68; G01N33/574
Other References:
RACLE JULIEN, DE JONGE KAAT, BAUMGAERTNER PETRA, SPEISER DANIEL E, GFELLER DAVID: "Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data", ELIFE, ELIFE SCIENCES PUBLICATIONS LTD, ENGLAND, 13 November 2017 (2017-11-13), England , XP055802689, [retrieved on 20210510], DOI: 10.7554/eLife.26476
FRANCISCO AVILA COBOS, JO VANDESOMPELE, PIETER MESTDAGH, KATLEEN DE PRETER: "Computational deconvolution of transcriptomics data from mixed cell populations", BIOINFORMATICS, OXFORD UNIVERSITY PRESS , SURREY, GB, GB , XP055473412, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty019
ETIENNE BECHT, GIRALDO NICOLAS A., LACROIX LAETITIA, BUTTARD BÉNÉDICTE, ELAROUCI NABILA, PETITPREZ FLORENT, SELVES JANICK, LAURENT: "Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression", GENOME BIOLOGY, vol. 52, no. Suppl 2, pages 2745, XP055321881, DOI: 10.1186/s13059-016-1070-5
FINOTELLO FRANCESCA; TRAJANOSKI ZLATKO: "Quantifying tumor-infiltrating immune cells from transcriptomics data", CANCER IMMUNOLOGY IMMUNOTHERAPY, SPRINGER, BERLIN/HEIDELBERG, vol. 67, no. 7, 14 March 2018 (2018-03-14), Berlin/Heidelberg , pages 1031 - 1040, XP036529045, ISSN: 0340-7004, DOI: 10.1007/s00262-018-2150-z
FRANCISCO AVILA COBOS, JO VANDESOMPELE, PIETER MESTDAGH, KATLEEN DE PRETER: "Computational deconvolution of transcriptomics data from mixed cell populations", BIOINFORMATICS, OXFORD UNIVERSITY PRESS , SURREY, GB, GB , XP055473412, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty019
ETIENNE BECHT, GIRALDO NICOLAS A., LACROIX LAETITIA, BUTTARD BÉNÉDICTE, ELAROUCI NABILA, PETITPREZ FLORENT, SELVES JANICK, LAURENT: "Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression", GENOME BIOLOGY, vol. 52, no. Suppl 2, pages 2745, XP055321881, DOI: 10.1186/s13059-016-1070-5
FINOTELLO FRANCESCA; TRAJANOSKI ZLATKO: "Quantifying tumor-infiltrating immune cells from transcriptomics data", CANCER IMMUNOLOGY IMMUNOTHERAPY, SPRINGER, BERLIN/HEIDELBERG, vol. 67, no. 7, 14 March 2018 (2018-03-14), Berlin/Heidelberg , pages 1031 - 1040, XP036529045, ISSN: 0340-7004, DOI: 10.1007/s00262-018-2150-z
Attorney, Agent or Firm:
HIRAKI & ASSOCIATES (JP)
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