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Dataset Information

Identification and external validation of a prognostic signature based on hypoxia-glycolysis-related genes for kidney renal clear cell carcinoma.


ABSTRACT:

Background

Hypoxia and glycolysis play crucial roles in tumor progression, yet their association with kidney renal clear cell carcinoma (KIRC) remains unclear. Here, a novel prognostic model was developed with hypoxia-glycolysis-related genes (HGRGs) in KIRC, providing insights to elucidate the aforementioned uncertainties.

Methods

Transcriptomic information and clinical characteristics of KIRC were acquired from The Cancer Genome Atlas Program, ArrayExpress database, and Gene Expression Omnibus. Significant HGRGs were identified, and a prognostic model was constructed. We performed enrichment analysis, tumor mutational burden (TMB), tumor microenvironment), and drug sensitivity analyses to elucidate potential mechanisms of HGRGs.

Results

The prognostic model based on

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC12596871 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature