Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression.

ABSTRACT: Comprehensive genomic studies have delineated key driver mutations linked to disease progression for most cancers. However, corresponding transcriptional changes remain largely elusive because of the bias associated with cross-study analysis. Here, we overcome these hurdles and generate a comprehensive prostate cancer transcriptome atlas that describes the roadmap to tumor progression in a qualitative and quantitative manner. Most cancers follow a uniform trajectory characterized by upregulation of polycomb-repressive-complex-2, G2-M checkpoints, and M2 macrophage polarization. Using patient-derived xenograft models, we functionally validate our observations and add single-cell resolution. Thereby, we show that tumor progression occurs through transcriptional adaption rather than a selecti

SUBMITTER: Bolis M 

PROVIDER: S-EPMC8640014 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature