Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma.
Michal Marek HoppePatrick JaynesFan ShuangyiYanfen PengShruti SridharPhuong Mai HoangClementine Xin LiuSanjay De MelLimei Michelle PoonEsther Hian Li ChanJoanne LeeChoon-Kiat OngTiffany TangSoon Thye LimChandramouli NagarajanNicholas Francis GrigoropoulosSoo Yong TanSusan Swee-Shan HueSheng-Tsung ChangShih-Sung ChuangShaoying LiJoseph D KhouryHyung Won ChoiCarl Harris IiiAlessia BottosLaura J GayHendrik F P RungeIlias MoutsopoulosIrina I MohorianuDaniel James HodsonPedro FarinhaAnja MottokDavid W ScottJason J PittJinmiao ChenGayatri KumarKasthuri KannanWee-Joo ChngYen-Lin CheeSiok Bian NgClaudio TripodoAnand D JeyasekharanPublished in: Cancer discovery (2023)
Using single-cell-resolved multiplexed imaging, we show that selected subpopulations of cells expressing specific combinations of oncogenes influence clinical outcomes in lymphoma. We describe a probabilistic metric for the estimation of cellular oncogenic coexpression from IHC or bulk transcriptomes, with possible implications for prognostication and therapeutic target discovery in cancer.