Construction and experimental verification of a novel nine-glycosylation-related gene prognostic risk model for clear cell renal carcinoma.

ABSTRACT:

Objective

Patients with clear cell renal carcinoma (ccRCC) typically have poor prognosis. Glycosylation modification plays an important role in ccRCC. This study aimed to develop a novel signature for predicting ccRCC prognosis based on glycosylation-related genes (GRGs).

Methods

Differentially expressed GRGs (DE_GRGs) were identified using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus and used for constructing the risk model. The function of key genes was validated.

Results

Twenty-two DE_GRGs were intersected between GSE53757 and TCGA. Patients with ccRCC were divided into two clusters based on the expression profile of these DE_GRGs. Significant differences in the infiltration of 10 immune cell types were observed between two subclusters. Subsequently,

SUBMITTER: Sun W 

PROVIDER: S-EPMC11544054 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature