Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach.

ABSTRACT:

Purpose

Prostate cancer is one of the leading causes of cancer death for male. In the present study, we applied an integrated bioinformatics approach to provide a novel perspective and identified some hub genes of prostate cancer.

Method

Microarray data of fifty-nine prostate cancer were downloaded from Gene Expression Omnibus. Gene Ontology and pathway analysis were applied for differentially expressed genes between high and low grade prostate cancer. Weighted gene coexpression network analysis was applied to construct gene network and classify genes into different modules. The most related module to high grade prostate cancer was identified and hub genes in the module were revealed. Ingenuity pathway analysis was applied to check the chosen module's relationship to high gr

SUBMITTER: Huang H 

PROVIDER: S-EPMC11818995 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature