Literature DB >> 33234734

Identification of novel prognostic biomarkers in renal cell carcinoma.

Yuanzhang Zou1, Qiu Lu1, Qin Yao1, Di Dong1, Binghai Chen1.   

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.

Entities:  

Keywords:  DFS; OS; WDR72; prognostic signature; renal cell carcinoma

Mesh:

Substances:

Year:  2020        PMID: 33234734      PMCID: PMC7803519          DOI: 10.18632/aging.104131

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


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