ORIGINAL RESEARCH article
Front. Cell Dev. Biol.
Sec. Cancer Cell Biology
Volume 13 - 2025 | doi: 10.3389/fcell.2025.1605297
This article is part of the Research TopicMetabolic and Immunological Biomarkers in Urological Cancers: Mechanistic Insights and Therapeutic PotentialView all 4 articles
Systematic Characterization of Cross-Source miRNA Biomarkers in Prostate Cancer with Computational-Experimental Integrated analysis
Provisionally accepted
- 1Department of Urology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
- 2Department of Urology ＆ Andrology,Sir Run Run Shaw Hospital,Zhejiang University School of Medcine, Hangzhou, China
- 3Department of Nutrition,The Second affiliated Hospital of University of South China, Hengyang, China
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Purpose: Prostate cancer (PCa) is occult and remains largely incurable once metastasis. Our research aims to identify the key miRNAs and construct miRNA-mRNA networks for PCa. Methods: Microarray dataset GSE112264 consisting of 1591 male serum samples and tissue miRNA data from TCGA including 497 prostate cancer and 52 normal sample were included for analysis. Differentially expressed miRNAs (DE-miRNAs) were detected and miRTarBase was used to predict the common target genes. Then GO and KEGG pathway analysis was performed for the target genes. PPI network which revealed top 10 hub genes was constructed by STRING and Cytoscape. The potential hub genes expression examined by UALCAN database. Finally, GSE112264, TCGA datasets and clinical samples were used for verifying the consistency of miRNAs expression in serum and tissue. Results: A total of 948 target genes of the overlapped two downregulated miRNAs (miR-146a-3p and miR-136-3p) were predicted. Functional enrichment analysis indicated that significant DE-miRNAs were related to PCa-related pathways such as protein binding, mTOR signaling pathway and porphyrin and chlorophyll metabolism. 4 hub genes were identified from PPI network including NSF, HIST2H2BE, IGF2R and CADM1 and verified to be aberrantly expressed in UALCAN database. Experiment results indicated that only miR-136-3p was markedly reduced both in serum and tissue. Conclusion: In this study, we established miRNA-mRNA network offering potential PCa targets.
Keywords: microRNA, prostate cancer, biomarkers, bioinformatics, regulatory network
Received: 03 Apr 2025; Accepted: 28 Aug 2025.
Copyright: © 2025 Deng, Lu, Li, Huang, Chen and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Weiming Deng, Department of Urology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
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