Objective:To use the ferroptosis-related genes(FRGs)to create a prognostic prediction model for CRC(colorectal cance)patients.Method:Download 647 cases of CRC patient data from the the cancer genome atlas(TCGA)database,556 cases of CRC patient data from the NCBI Gene expression omnibus(GEO)database,and 774 ferroptosis-related genes(FRGs)from GeneCards and the ferroptosis gene database.To discover prognostic markers and build the prognostic model,the least absolute shrinkage and selection operator(Lasso)regression analysis was utilized.We assessed the prognostic significance of the model by employing Kaplan-Meier analysis and the receiver operating characteristic curve(ROC)evaluation.Results:A prognostic model comprising 11 ferroptosis-related genes was developed.This model demonstrates a high level of accuracy in predicting outcomes and assessing im-mune responses in CRC.Based on the analysis of the ROC curve,patients belonging to the high-risk group exhibi-ted an unfavourable prognosis.The model achieved area under the curve values were 0.756,0.774,and 0.782 at 1,3,and 5 years,respectively.In the GEO database,the areas under the ROC for the CRC patients in 1,3,and 5 years were 0.767,0.744,and 0.726,respectively.In CRC,the risk score of predictive models for ferroptosis-re-lated gene biomarkers might serve as an independent prognostic factor(P＜0.01).Conclusion:This research pro-poses a prediction model employing 11 ferroptosis-related genes that may help personalise treatment and evaluate CRC patients'prognoses.
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