Microarray analysis of copy-number variations and gene expression profiles in prostate cancer.

ABSTRACT:

Background

This study aimed to identify potential prostate cancer (PC)-related variations in gene expression profiles.

Methods

Microarray data from the GSE21032 dataset that contained the whole-transcript and exon-level expression profile (GSE21034) and Agilent 244K array-comparative genomic hybridization data (GSE21035) were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and copy-number variations (CNVs) were identified between PC and normal tissue samples. Coexpression interactions of DEGs that contained CNVs (CNV-DEGs) were analyzed. Pathway enrichment analysis of CNV-DEGs was performed. Drugs targeting CNV-DEGs were searched using the Drug-Gene Interaction database.

Results

In total, 679 DEGs were obtained, including 18

SUBMITTER: Han Y 

PROVIDER: S-EPMC5515741 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature