Phenotypic deconvolution in heterogeneous cancer cell populations using drug-screening data.

ABSTRACT: Tumor heterogeneity is an important driver of treatment failure in cancer since therapies often select for drug-tolerant or drug-resistant cellular subpopulations that drive tumor growth and recurrence. Profiling the drug-response heterogeneity of tumor samples using traditional genomic deconvolution methods has yielded limited results, due in part to the imperfect mapping between genomic variation and functional characteristics. Here, we leverage mechanistic population modeling to develop a statistical framework for profiling phenotypic heterogeneity from standard drug-screen data on bulk tumor samples. This method, called PhenoPop, reliably identifies tumor subpopulations exhibiting differential drug responses and estimates their drug sensitivities and frequencies within the bulk populat

SUBMITTER: Kohn-Luque A 

PROVIDER: S-EPMC10088094 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature