Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer.

ABSTRACT: Ovarian cancer is one of the most significant disease among gynecological disorders that women suffered from over the centuries. However, disease-specific and effective biomarkers were still not available, since studies have focused on individual genes associated with ovarian cancer, ignoring the interactions and associations among the gene products. Here, ovarian cancer differential co-expression networks were reconstructed via meta-analysis of gene expression data and co-expressed gene modules were identified in epithelial cells from ovarian tumor and healthy ovarian surface epithelial samples to propose ovarian cancer associated genes and their interactions. We propose a novel, highly interconnected, differentially co-expressed, and co-regulated gene module in ovarian cancer consisting

SUBMITTER: Gov E 

PROVIDER: S-EPMC5504034 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature