{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Hoppe MM"],"funding":["Cancer Research UK","Singapore Ministry of Education","NIHR Cambridge Biomedical Research Centre","Medical Research Council","CRUK and EPSRC Cancer Imaging Centre in Cambridge and Manchester","National Research Foundation Singapore","National Medical Research Council","Wellcome Trust","Italian Foundation for Cancer Research"],"pagination":["1144-1163"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10157367"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(5)"],"pubmed_abstract":["Cancers often overexpress multiple clinically relevant oncogenes, but it is not known if combinations of oncogenes in cellular subpopulations within a cancer influence clinical outcomes. Using quantitative multispectral imaging of the prognostically relevant oncogenes MYC, BCL2, and BCL6 in diffuse large B-cell lymphoma (DLBCL), we show that the percentage of cells with a unique combination MYC+BCL2+BCL6- (M+2+6-) consistently predicts survival across four independent cohorts (n = 449), an effect not observed with other combinations including M+2+6+. We show that the M+2+6- percentage can be mathematically derived from quantitative measurements of the individual oncogenes and correlates with survival in IHC (n = 316) and gene expression (n = 2,521) datasets. Comparative bulk/single-cell tr"],"journal":["Cancer discovery"],"pubmed_title":["Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma."],"pmcid":["PMC10157367"],"funding_grant_id":["100072","RCCFEL&#x2216","22759","MC_PC_17230","22145","-","MOH-001104","BRC-1215-20014","MOH-000715-00","203151/Z/16/Z","OF-LCG18May-0028","A25117","RCCFEL\\100072"],"pubmed_authors":["Jaynes P","Peng Y","Hoang PM","Chan EHL","Sridhar S","Chng WJ","De Mel S","Tan SY","Choi H","Moutsopoulos I","Lee J","Gay LJ","Ong CK","Ng SB","Khoury JD","Pitt JJ","Jeyasekharan AD","Hue SS","Chang ST","Bottos A","Scott DW","Chee YL","Tang T","Mohorianu I","Runge HFP","Chen J","Mottok A","Chuang SS","Tripodo C","Shuangyi F","Kannan K","Grigoropoulos NF","Hodson DJ","Liu CX","Nagarajan C","Kumar G","Li S","Harris C","Poon L","Lim ST","Hoppe MM","Farinha P"],"additional_accession":[]},"is_claimable":false,"name":"Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma.","description":"Cancers often overexpress multiple clinically relevant oncogenes, but it is not known if combinations of oncogenes in cellular subpopulations within a cancer influence clinical outcomes. Using quantitative multispectral imaging of the prognostically relevant oncogenes MYC, BCL2, and BCL6 in diffuse large B-cell lymphoma (DLBCL), we show that the percentage of cells with a unique combination MYC+BCL2+BCL6- (M+2+6-) consistently predicts survival across four independent cohorts (n = 449), an effect not observed with other combinations including M+2+6+. We show that the M+2+6- percentage can be mathematically derived from quantitative measurements of the individual oncogenes and correlates with survival in IHC (n = 316) and gene expression (n = 2,521) datasets. Comparative bulk/single-cell tr","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2026-05-29T01:13:23.667Z","creation":"2025-02-19T04:29:15.585Z"},"accession":"S-EPMC10157367","cross_references":{"pubmed":["37071673"],"doi":["10.1158/2159-8290.CD-22-0998"]}}