Glycogen metabolism genes as a molecular signature for subtyping, prognostic prediction, and immunotherapy selection in clear cell renal cell carcinoma.

ABSTRACT: Glycogen accumulation is a typical feature in clear cell renal cell carcinoma (ccRCC). It has been reported that glycogen metabolism-related genes can promote the progression of ccRCC, but its role in molecular typing, prognosis, immune infiltration, and immunotherapy response has rarely been reported. We applied an unsupervised clustering approach for molecular typing of ccRCC. The least absolute shrinkage and selection operator regression (LASSO) was used for prognostic model construction. The robustness of the model is evaluated by multicenter mutual verification. Weighted gene co-expression network analysis (WGCNA) was used to explore potential biological mechanisms. RT-qPCR was used to identify mRNA relative expression. We found ccRCC can be divided into two subtypes based on glycogen

SUBMITTER: Ni F 

PROVIDER: S-EPMC11832626 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature