A risk stratification model based on four novel biomarkers predicts prognosis for patients with renal cell carcinoma.

ABSTRACT:

Background

Accurate prediction of the prognosis of RCC using a single biomarker is challenging due to the genetic heterogeneity of the disease. However, it is essential to develop an accurate system to allow better patient selection for optimal treatment strategies. ARL4C, ECT2, SOD2, and STEAP3 are novel molecular biomarkers identified in earlier studies as survival-related genes by comprehensive analyses of 43 primary RCC tissues and RCC cell lines.

Methods

To develop a prognostic model based on these multiple biomarkers, the expression of four biomarkers ARL4C, ECT2, SOD2, and STEAP3 in primary RCC tissue were semi-quantitatively investigated by immunohistochemical analysis in an independent cohort of 97 patients who underwent nephrectomy, and the clinical significance of

SUBMITTER: Kubota S 

PROVIDER: S-EPMC7584101 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature