A harmonized resource of integrated prostate cancer clinical, -omic, and signature features.

ABSTRACT: Genomic and transcriptomic data have been generated across a wide range of prostate cancer (PCa) study cohorts. These data can be used to better characterize the molecular features associated with clinical outcomes and to test hypotheses across multiple, independent patient cohorts. In addition, derived features, such as estimates of cell composition, risk scores, and androgen receptor (AR) scores, can be used to develop novel hypotheses leveraging existing multi-omic datasets. The full potential of such data is yet to be realized as independent datasets exist in different repositories, have been processed using different pipelines, and derived and clinical features are often not provided or  not standardized. Here, we present the curatedPCaData R package, a harmonized data resource repres

SUBMITTER: Laajala TD 

PROVIDER: S-EPMC10322899 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature