BackgroundProstate cancer (PCa) is a most common diagnosed cancer among males globally. Despite the decreased PCa mortality, increased prevalence of it creates huge burden on the population. MicroRNAs (miRNAs) are class of endogenous, non-coding, single stranded RNAs having ~22–24 bases. They work at the posttranscriptional gene regulation. MiRNAs have been seen in various in-vivo biological processes, including proliferation, apoptosis, migration, invasion, as well as epithelial-mesenchymal transition (EMT). MethodologyTwo miRNA expression datasets GSE76260, GSE60117 and one mRNA expression dataset GSE69223 from GEO (Gene Expression Omnibus) were included in this study for enrichment analysis. We identified total of 255 significant upregulated differentially expressed miRNAs (DEMs) and 339 significant downregulated DEMs from GSE78260 and GSE60117 datasets. 898 significant upregulated differentially expressed genes (DEGs) and 1486 significant downregulated DEGs from GSE69223 datasets in PCa vs normal prostate tissues. ResultsThe Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis for the key DEMs revealed that insulin signaling pathway, MAPK signaling pathway, EMT signaling pathway etc. are the most significant pathways, while KEGG pathway enrichment analysis for the DEGs demonstrated that steroid biosynthesis and focal adhesion are the most significant pathways involved in PCa carcinogenesis. The DEMs including hsa-miR-140-5p, hsa-miR-320b, hsa-miR-369-3p, hsa-miR-450b-5p, hsa-miR-483-3p, hsa-miR-532-3p and hsa-miR-576-5p identified as a key regulatory miRNA. Furthermore, DEGs including EGF, BMP2, FGF2, IGF1, CDH2 identified as the hub genes in the PPI network. Interestingly, key regulator miRNAs were significantly associated with ROC analysis. ConclusionIn this study, these identified key regulatory miRNAs and hub genes may be useful as a diagnostic and prognostic biomarker in PCa, may have contributing role in PCa pathogenesis. Moreover, the identified pathway may be potential therapeutical targets in PCa.