摘要
Objective:To screen peripheral blood micro RNA(mi RNA)as biomarkers for prostate cancer diagnosis,the bioinformatics methods have been established.Methods:The mi RNA differential expression dataset(GSE206793 and GSE112264)in the plasma of prostate cancer patients were downloaded on the website of GEO database.Firstly,the differential mi RNAs in both of the two datasets were screened by bio-credit analysis.The screened mi RNA was analyzed by KEGG signaling pathway and GO enrichment analysis.TF-mi RNA network was constructed for upstream regulatory transcription factors.Subsequently,protein-protein interaction(PPI)network was constructed for target genes using STRING database.Finally,the expression levels of the differentially expressed mi RNAs in different prostate cancer stages were analyzed in the two datasets.Results:This study found that miR-455-3p was differentially expressed in both datasets.Signal pathway analysis showed that miR-455-3p was enriched in different pathways,including autophagy,cell entry and neurotrophic factors.PPI network showed that the interacting proteins mainly included HDAC2,H2AFZ,SALL1,NCOR2,and MAP3K1.Moreover,mi R-455-3p was significantly increased in prostate cancer patients with different stages and risk grades.The ROC curve results showed AUC values of 0.943and 0.847 for the two datasets,respectively.Conclusion:This study proved that miR-455-3p in peripheral blood can be used as a biomarker for prostate cancer diagnosis.
