Investigation of the hub genes and related mechanism in ovarian cancer via bioinformatics analysis.

ABSTRACT:

Background

Ovarian cancer is a cancerous growth arising from the ovary.

Objective

This study was aimed to explore the molecular mechanism of the development and progression of the ovarian cancer.

Methods

We first identified the differentially expressed genes (DEGs) between the ovarian cancer samples and the healthy controls by analyzing the GSE14407 affymetrix microarray data, and then the functional enrichments of the DEGs were investigated. Furthermore, we constructed the protein-protein interaction network of the DEGs using the STRING online tools to find the genes which might play important roles in the progression of ovarian cancer. In addition, we performed the enrichment analysis to the PPI network.

Results

Our study screened 659 DEGs, including 77 up- a

SUBMITTER: Fu LJ 

PROVIDER: S-EPMC3892009 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature