Abstract

Accumulating evidence has demonstrated that some specific miRNAs were aberrantly expressed in renal clear cell carcinoma and participated in many biological processes. The aim of this study was to investigate a panel of miRNA signature for diagnosis and prognosis of renal clear cell carcinoma (KIRC). Here, we performed a comprehensive analysis for miRNA expression profiles and corresponding clinical information of 516 KIRC patients from The Cancer Genome Atlas (TCGA). In the study, a total of 63 differentially expressed miRNAs were identified, of which 34 were up-regulated and 29 were down-regulated. We constructed a panel of three-miRNA that were significantly associated with KIRC diagnosis and KIRC patients' prognosis. The three-miRNA signature reached a sensitivity of 98.3% and a specificity of 97.2% in the diagnosis of KIRC. Using the three-miRNA signature, we classified the KIRC patients into high-risk group and low-risk group. The Kaplan- Meier curves showed that KIRC patients with high risk scores had significantly worsen overall survival (OS) and disease free survival (DFS) than KIRC patients with low risk scores. In the univariate and multivariate Cox regression analysis, three-miRNA signature was an independent prognostic factor in OS. In conclusion, the three-miRNA signature could be used as a diagnostic and prognostic biomarker in KIRC, and therefore, may help to provide significant clinical implication for the treatment of KIRC.

Highlights

  • Renal cell carcinoma (RCC) is the most lethal urologic cancer, accounting for 2%–3% of adult malignancies in the world [1]

  • Unsupervised hierarchic cluster analysis revealed that Kidney Renal Clear Cell Carcinoma (KIRC) tissues could be distinguished from matched normal tissues based on differentially expressed miRNAs patterns (S1 Fig)

  • The results suggested that miR-210, miR-4772, miR-592, miR1269a, and miR-203b were linked to age, miR-122, miR-21, miR-584, miR-155, miR-142, miR-224, miR-875, miR-599, miR-892b, miR-514a-2, and miR-1251 were linked to gender, miR-142, miR-4784, miR-1269b were linked to tumor size, miR-21, miR-584, miR-155, miR142, miR-885, miR-1293, miR-1269a, miR-1269b, miR-509-2, and miR-1251 were linked to metastasis status, miR-122, miR-210, miR-21, miR-592, miR-885, miR-374c, miR-3591, miR200c, miR-1251, and miR-141 were linked to lymph node status

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Summary

Introduction

Renal cell carcinoma (RCC) is the most lethal urologic cancer, accounting for 2%–3% of adult malignancies in the world [1]. While the interactions of environmental factors, genetic and epigenetic alterations on ccRCC development are still unclear, therapeutic options for ccRCCs are still limited [4, 5].

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