Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis

Scooter Willis, Victor M Villalobos, Olivier Gevaert, Mark Abramovitz, Casey Williams, Branimir I Sikic and Brian Leyland-Jones

PLOS ONE, 2016, vol. 11, issue 2, 1-6

Abstract: Purpose: To discover novel prognostic biomarkers in ovarian serous carcinomas. Methods: A meta-analysis of all single genes probes in the TCGA and HAS ovarian cohorts was performed to identify possible biomarkers using Cox regression as a continuous variable for overall survival. Genes were ranked by p-value using Stouffer’s method and selected for statistical significance with a false discovery rate (FDR)

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0149183

DOI: 10.1371/journal.pone.0149183

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