Single gene prognostic biomarkers in ovarian cancer: A meta-analysis

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)