Integrative identification of non-coding regulatory regions driving metastatic prostate cancer.

ABSTRACT: Large-scale sequencing efforts of thousands of tumor samples have been undertaken to understand the mutational landscape of the coding genome. However, the vast majority of germline and somatic variants occur within non-coding portions of the genome. These genomic regions do not directly encode for specific proteins, but can play key roles in cancer progression, for example by driving aberrant gene expression control. Here, we designed an integrative computational and experimental framework to identify recurrently mutated non-coding regulatory regions that drive tumor progression. Application of this approach to whole-genome sequencing (WGS) data from a large cohort of metastatic castration-resistant prostate cancer (mCRPC) revealed a large set of recurrently mutated regions. We used (i) <

SUBMITTER: Woo BJ 

PROVIDER: S-EPMC10312451 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature