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Dataset Information

Establishment and validation of a novel peroxisome-related gene prognostic risk model in kidney clear cell carcinoma.


ABSTRACT:

Background

Kidney clear cell carcinoma (KIRC) is the most common subtype of renal cell carcinoma. Peroxisomes play a role in the regulation of tumorigenesis and cancer progression, yet the prognostic significance of peroxisome-related genes (PRGs) remains rarely studied. The study aimed to establish a novel prognostic risk model and identify potential biomarkers in KIRC.

Methods

The significant prognostic PRGs were screened through differential and Cox regression analyses, and LASSO Cox regression analysis was performed to establish a prognostic risk model in the training cohort, which was validated internally in the testing and entire cohorts, and further assessed in the GSE22541 cohort. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathwa

SUBMITTER: Zhang J 

PROVIDER: S-EPMC10829319 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature