The comprehensive bioinformatic analysis of the hsa-miR-3613-5p in kidney renal clear cell carcinoma

Abstract

Abstract microRNA-3613 (hsa-miR-3613-5p), a biomarker with a dual role, oncogenic or tumor suppressor, is associated with different types of cancers. This study aimed to assess the correlation between the hsa-miR-3613-5p gene expression and Kidney renal clear cell carcinoma (KIRC). Using several bioinformatics tools, we examined the expression level and clinicopathological value of hsa-miR-3613-5p in patients with KIRC compared to normal tissues. Other metrics include survival analysis, diagnostic merit of hsa-miR-3613-5p, downstream target prediction, potential upstream lncRNAs, network construction, and functional enrichment analysis hsa-miR-3613-5p, were performed. We observed that overexpression of hsa-miR-3613-5p in KIRC tissues had valuable diagnostic merit and significantly was correlated with the poor overall survival of KIRC patients. We also realized a correlation between abnormal expression hsa-miR-3613-5p and several clinical parameters such as pathological stage, race, age, and histological grades of patients with KIRC. Moreover, we identified the most potential regulatory of hsa-miR-3613-5p in KIRC with 17 different axes, including four pseudogenes, two lncRNAs, and three mRNAs. Besides, we discovered six variants in mature miRNA of hsa-miR-3613-5p. Finally, pathway enrichment analysis uncovered that top-ranked pathways for hsa-miR-3613-5p are cell cycle, cell adhesion molecules (CAMs), and hepatocellular carcinoma pathways. The present report demonstrated that the higher expression of hsa-miR-3613-5p is associated with the progression of KIRC, therefore. It may be considered a valuable indicator for the early detection, risk stratification, and targeted treatment of patients with KIRC.