Dysregulation of cell cycle related genes and microRNAs distinguish the low- from high-risk of prostate cancer.

Background: Prostate cancer (PCa) is a biologically heterogeneous disease with considerable variation in clinical aggressiveness. In this study, bioinformatics was used to detect the patterns of gene expression alterations of PCa patients.

Methods: The gene expression profile GSE21034 and GSE21036 were downloaded from Gene Expression Omnibus (GEO) database.