Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome.

ABSTRACT:

Background

Ovarian cancer (OCA), the fifth leading deaths cancer to women, is famous for its low survival rate in epithelial ovarian cancer cases, which is very complicated and hard to be diagnosed from asymptomatic nature in the early stage. Thus, it is urgent to develop an effective genetic prognostic strategy.

Methods

Current study using the Database for Annotation, Visualization and Integrated Discovery tool for the generation and analysis of quantitative gene expression profiles; all the annotated gene and biochemical pathway membership realized according to shared categorical data from Pathway and Kyoto Encyclopedia of Genes and Genomes; correlation networks based on current gene screening actualize by Weighted correlation network analysis to identify therapeutic targe

SUBMITTER: Cai SY 

PROVIDER: S-EPMC4521463 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature