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Dataset Information

Molecular profiling of radical prostatectomy tissue from patients with no sign of progression identifies <i>ERG</i> as the strongest independent predictor of recurrence.


ABSTRACT:

Background

As a major cause of morbidity and mortality among men, prostate cancer is a heterogenous disease, with a vast heterogeneity in the biology of the disease and in clinical outcome. While it often runs an indolent course, local progression or metastasis may eventually develop, even among patients considered "low risk" at diagnosis. Therefore, biomarkers that can discriminate aggressive from indolent disease at an early stage would greatly benefit patients. We hypothesized that tissue specimens from early stage prostate cancers may harbor predictive signatures for disease progression.

Methods

We used a cohort of radical prostatectomy patients with longitudinal follow-up, who had tumors with low grade and stage that revealed no signs of future disease progression at su

SUBMITTER: Yan W 

PROVIDER: S-EPMC6849651 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature