Research Paper Volume 12, Issue 24 pp 25304—25318
Identification of novel prognostic biomarkers in renal cell carcinoma
- 1 Department of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, Jiangsu, China
Received: May 21, 2020 Accepted: August 29, 2020 Published: November 21, 2020
https://doi.org/10.18632/aging.104131How to Cite
Abstract
Objective: To identify novel prognostic biomarkers in renal cell carcinoma (RCC).
Results: 12 coding genes and one miRNA were finally identified as prognostic biomarkers. All of them were related to a poor prognosis. Lower expression levels of the coding genes were observed in higher clinical stages. Prognostic signatures including 7 biomarkers were identified. Patients in the high-risk group had worse survival than those in the low-risk group. The areas under the curves in different years indicated that it was a valuable signature in prognosis. It was found that elevated WDR72 inhibited the survival and invasion of 786-O and 769P cells in vitro.
Conclusions: Thirteen prognostic biomarkers of RCC were identified. Among them, 7 biomarkers comprised a signature to evaluate the RCC prognosis. WDR72 was a cancer suppressor and a potential therapeutic target in RCC.
Methods: Differentially expressed genes/miRNAs (DEGs/DEMs) and prognosis-related genes/miRNAs were acquired from public database. Prognostic biomarkers were identified by overlapping the significant DEGs/DEMs and prognosis-related genes/miRNAs. The associations between these biomarkers and the clinical stages were analyzed. All of these prognostic biomarkers were further investigated with multi-variable Cox regression. Finally, the inhibitory effect of WDR72 on the growth and invasion of RCC cells was studied.
Abbreviations
RCC: renal cell carcinoma; DEGs: differentially expressed genes; DEMs: differentially expressed miRNAs; OS: overall survival; DFS: disease-free survival.