Aims: To investigate the prognostic values and potential mechanisms of ferroptosis-related genes in clear cell renal cell carcinoma. Methods: Univariate Cox, least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were employed to identify prognosis-related hub ferroptosis-related genes and establish a prognostic model. Results: The authors established a novel clinical predictive model based on seven hub ferroptosis-related genes in The Cancer Genome Atlas training cohort (n = 374) that was verified in the testing cohort (n = 156) and the entire group (n = 530). Functional analysis indicated that several carcinogenic pathways were enriched. Tumor-infiltrating cells and immunosuppressive molecules were significantly different between the two risk groups. Conclusion: Collectively, the authors successfully constructed a novel ferroptosis-related risk signature that was significantly associated with the prognosis of clear cell renal cell carcinoma.
Keywords: TCGA; clear cell renal cell carcinoma; ferroptosis; prognostic model.
Lay abstract The incidence of and mortality associated with clear cell renal cell carcinoma are increasing year by year. Herein the authors conducted a study to investigate the potential role of ferroptosis-related genes in clear cell renal cell carcinoma. The authors also built a ferroptosis-related gene model that could predict the prognosis and risk of clear cell renal cell carcinoma patients so as to facilitate individualized treatment of patients.