Peripheral Blood miRNA Integrated Analysis on the Diagnostic Significance of miR-455-3p in Prostate Cancer
YAN Cheng-ming1
ZHU Guang-bin2
LI Chang-yong3
LI Ming-jie4
1.Fuzhou Center for Disease Control,Fuzhou Fujian 350005,China2.Department of Radiology,the Fifth Hospital of Guangzhou Medical University,Guangzhou Guangdong 510799,China3.Department of Radiobiology,Beijing Institute of Radiation Medicine,Beijing 100850,China4.Affiliated Hospital of Qingdao University,Qingdao Shandong 266071,China
摘要：Objective: To screen peripheral blood microRNA (miRNA) as biomarkers for prostate cancer diagnosis, the bioinformatics methods have been established. Methods: The miRNA differential expression dataset (GSE206793 and GSE112264) in the plasma of prostate cancer patients were downloaded on the website of GEO database. Firstly, the differential miRNAs in both of the two datasets were screened by bio-credit analysis. The screened miRNA was analyzed by KEGG signaling pathway and GO enrichment analysis. TF-miRNA 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 miRNAs 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, miR-455-3p was significantly increased in prostate cancer patients with different stages and risk grades. The ROC curve results showed AUC values of 0.943 and 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.
机标关键词：diagnosticsignificanceintegratedprostateanalysismirnacancerblood
分类号：R737.2(泌尿生殖器肿瘤)
论文发表日期：2022-09-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：10( 129-138 )
英文信息