biostudies-literatureHoppe MMCancer Research UKSingapore Ministry of EducationNIHR Cambridge Biomedical Research CentreMedical Research CouncilCRUK and EPSRC Cancer Imaging Centre in Cambridge and ManchesterNational Research Foundation SingaporeNational Medical Research CouncilWellcome TrustItalian Foundation for Cancer Research1144-1163https://www.ebi.ac.uk/biostudies/studies/S-EPMC10157367biostudies-literatureUnknown13(5)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 trCancer discoveryPatterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma.PMC10157367100072RCCFEL&#x221622759MC_PC_1723022145-MOH-001104BRC-1215-20014MOH-000715-00203151/Z/16/ZOF-LCG18May-0028A25117RCCFEL\100072Jaynes PPeng YHoang PMChan EHLSridhar SChng WJDe Mel STan SYChoi HMoutsopoulos ILee JGay LJOng CKNg SBKhoury JDPitt JJJeyasekharan ADHue SSChang STBottos AScott DWChee YLTang TMohorianu IRunge HFPChen JMottok AChuang SSTripodo CShuangyi FKannan KGrigoropoulos NFHodson DJLiu CXNagarajan CKumar GLi SHarris CPoon LLim STHoppe MMFarinha PfalsePatterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma.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 tr2023-01-01T00:00:00Z2023 May2026-05-29T01:13:23.667Z2025-02-19T04:29:15.585ZS-EPMC101573673707167310.1158/2159-8290.CD-22-0998