The following is a summary of “Establishment and Validation of a Novel Peroxisome-related Gene Prognostic Risk Model in Kidney Clear Cell Carcinoma,” published in the January 2024 issue of Urology by Zhang et al.
Kidney clear cell carcinoma (KIRC), the predominant subtype of renal cell carcinoma, is associated with intricate molecular mechanisms, and the prognostic role of peroxisome-related genes (PRGs) in this context remains underexplored.
In this study, researchers conducted a comprehensive analysis to identify significant prognostic PRGs through differential and Cox regression analyses.
Leveraging LASSO Cox regression, the study group established a robust prognostic risk model comprising nine genes (ABCD1, ACAD11, ACAT1, AGXT, DAO, EPHX2, FNDC5, HAO1, and HNGCLL1) in the training cohort. The model’s predictive performance was internally validated in testing and entire cohorts, further confirmed in the external GSE22541 cohort. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses elucidated the functional implications and pathway distinctions between high-risk and low-risk groups, emphasizing associations with substance metabolism, transport, and PPAR signaling pathways. Integration of the risk score with clinical factors enabled the construction of a nomogram, facilitating personalized treatment strategies for KIRC patients. Evaluation of immune cell infiltration revealed immune suppression and higher tumor purity in the high-risk group. Additionally, immunohistochemistry validated ACAT1 as a superior prognostic biomarker.
In conclusion, their peroxisome-related prognostic risk model demonstrates enhanced predictive accuracy for prognosis in KIRC patients, offering valuable insights into potential therapeutic targets and personalized clinical interventions.
Source: bmcurol.biomedcentral.com/articles/10.1186/s12894-024-01404-z