The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis.

ABSTRACT: Next-generation sequencing of primary tumors is now standard for transcriptomic studies, but microarray-based data still constitute the majority of available information on other clinically valuable samples, including archive material. Using prostate cancer (PC) as a model, we developed a robust analytical framework to integrate data across different technical platforms and disease subtypes to connect distinct disease stages and reveal potentially relevant genes not identifiable from single studies alone. We reconstructed the molecular profile of PC to yield the first comprehensive insight into its development, by tracking changes in mRNA levels from normal prostate to high-grade prostatic intraepithelial neoplasia, and metastatic disease. A total of nine previously unreported stage-specif

SUBMITTER: Marzec J 

PROVIDER: S-EPMC7838904 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature