Identification of a novel prognostic and therapeutic prediction model in clear cell renal carcinoma based on Renin-angiotensin system related genes.

ABSTRACT:

Background

Clear cell renal cell carcinoma is the most predominant type of renal malignancies, characterized by high aggressiveness and probability of distant metastasis. Renin angiotensin system (RAS) plays a crucial role in maintaining fluid balance within the human body, and its involvement in tumorigenesis is increasingly being uncovered, while its role in ccRCC remains unclear.

Methods

WGCNA was used to identify RAS related genes. Machine learning was applied to screen hub genes for constructing risk model, E-MTAB-1980 dataset was used for external validation. Transwell and CCK8 assays were used to investigate the impact of SLC6A19 to ccRCC cells.

Results

SLC6A19, SLC16A12 and SMIM24 were eventually screened to construct risk model and the predictive efficiency f

SUBMITTER: Chang Q 

PROVIDER: S-EPMC11911175 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature