Bioinformatics Prediction and Analysis of MicroRNAs and Their Targets as Biomarkers for Prostate Cancer: A Preliminary Study.

Abstract

Prostate cancer (PCa) is the second most common form of cancer in men around the world. Due to its heterogeneity, presentations range from aggressive lethal disease to indolent disease. There is a need to identify core biomarkers that are important for early detection and progression, allowing a more precise method for the treatment and management of Pca. We obtained metastatic prostate cancer associated microRNA array profiles from the GSE28029 dataset in the GEO database. MicroRNA target prediction was done using the databases, TargetScanHuman, miRDB and DIANA microT, six target genes (FOXC1, CDKN1A, BIRC2, CTNND1, ELK1 and LRP8) were found to be common among the three different databases. Differential expression of the target genes was performed via the GENT2 database in the GPL96 platform (HG-U133A). Results indicated all genes were downregulated. Gene Ontology (GO) was used to perform enrichment analysis. The GO enrichment analysis indicated that the downregulated genes were enriched in cellular response to gamma radiation, regulation of transcription and response to drugs as well as protein binding and receptor signaling protein activity. The study suggested that CDKN1A, FOXC1 and BIRC2 might be core genes for prostate cancer that play an important role in its diagnosis, development and progression.