Stromal Gene Expression is Predictive for Metastatic Primary Prostate Cancer.

ABSTRACT:

Background

Clinical grading systems using clinical features alongside nomograms lack precision in guiding treatment decisions in prostate cancer (PCa). There is a critical need for identification of biomarkers that can more accurately stratify patients with primary PCa.

Objective

To identify a robust prognostic signature to better distinguish indolent from aggressive prostate cancer (PCa).

Design, setting, and participants

To develop the signature, whole-genome and whole-transcriptome sequencing was conducted on five PCa patient-derived xenograft (PDX) models collected from independent foci of a single primary tumor and exhibiting variable metastatic phenotypes. Multiple independent clinical cohorts including an intermediate-risk cohort were used to validate the bioma

SUBMITTER: Mo F 

PROVIDER: S-EPMC6685211 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature