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Renal cell carcinoma (RCC) is the most common renal carcinoma in the human kidney. To date, to the best of our knowledge, there are no biomarkers for the early monitoring and diagnosis of RCC patients. The present study aimed to develop deeper insight into the molecular mechanisms of microRNAs (miRNAs/miRs) in the regulation of RCC development and to reveal candidate miRNA biomarkers in human RCC. A meta-analysis was used to integrate the published and independent RCC miRNA expression profiling investigations that compared the miRNA expression profiles in RCC samples with control samples. The meta-signature miRNA target genes were then predicted in TargetScan. The predicted targets were further analyzed using Gene Ontology and pathway enrichment analysis with the Database for Annotation, Visualization and Integrated Discovery online tool, and then the transcription factors of meta-signature miRNA target genes were identified in Tfacts. A total of 7 publicly available and independent RCC miRNA expression profiling datasets were collected, and 2 upregulated (hsa-miR-155-5p and hsa-miR-210-5p) and 6 downregulated (hsa-miR-138-5p, hsa-miR-141-5p, hsa-miR-200c-5p, hsa-miR-362-5p, hsa-miR-363-5p and hsa-miR-429) meta-signature miRNAs in renal carcinoma were identified. The targeted gene enrichment analysis indicated that the meta-signature miRNAs may influence several pathways that participate in cancerogenesis, including the 'rap1 signaling pathway', 'renal cell carcinoma' and 'microRNAs in cancer'. Overall, the present meta-analysis identified 2 upregulated and 6 downregulated meta-signature miRNAs from 7 renal carcinoma datasets, the dysregulated miRNAs that may contribute to kidney carcinoma development. This research may reveal candidate miRNA biomarkers in human RCC.

Identification of eight key miRNAs associated with renal cell carcinoma: A meta‑analysis