A Novel Defined Ferroptosis-Related Gene Signature for Predicting The Prognosis of Kidney Renal Clear Cell Carcinoma

Objective: We developed a predictive model associated with ferroptosis to provide a more comprehensive view of kidney renal clear cell carcinoma (KIRC) immunotherapy. Methods: : Gene expression data and corresponding clinical outcomes were obtained from the GEO and The Cancer Genome Atlas (TCGA) databases, and a ferroptosis-related gene set was obtained from the FerrDb database. Results: : We identified 17 ferroptosis-related genes that were differentially expressed, including enrichment in genes involved in the immune system process. We established a ferroptosis-related gene-based prognostic model based on the results of univariate Cox regression and multivariate Cox regression analyses, with an area under the curve (AUC) of 0.644 (3 years). We found that the higher exprssion of MT1G, LAMP2 and MIOX showed a higher proportion of CD8+ T cells, CD4+ memory activated T cells, etc. Finally, a predictive ferroptosis-related prognostic nomogram, which included the predictive values of age, gender, grade, TNM stage, and risk score, was established to predict overall survival. Conclusions: In sum, we developed a ferroptosis-related gene-based prognostic model that provides novel insights into the prediction of KIRC prognosis and identifies the relevance of the immune microenvironment for patient outcomes.