A Novel Signature Model Based on Ferroptosis-Related Genes for Predicting the Prognosis of Colorectal Carcinoma.

Abstract

Abstract Colorectal carcinoma (CRC) is a prevalent malignant tumour worldwide, and understanding its prognosis is crucial for effective treatment. The purpose of this work was to use genes linked to ferroptosis to create a prognostic prediction model for CRC. The GEO and TCGA databases were used to obtain data from CRC patients, and the Ferroptosis Gene Database was used to gather information on genes associated with ferroptosis. To discover prognostic markers and build the prognostic model, LASSO regression analysis was utilized. We assessed the prognostic significance of the model by employing Kaplan-Meier analysis and ROC curve evaluation. We utilised the CIBERSORT tool to investigate the possible link between ferroptosis-related genes and immune cells. In this research, a prognostic model comprising 11 ferroptosis-related genes was developed. This model demonstrates a high level of accuracy in predicting outcomes and assessing immune responses in CRC. Based on the analysis of the receiver operating characteristic curve, patients belonging to the high-risk group exhibited an unfavourable prognosis. The model achieved area under the curve values of 0.756, 0.774, and 0.782 at 1-, 3-, and 5-years, respectively. The ferroptosis-related gene biomarkers identified in this study may serve as independent predictors of CRC. The examination of differentially expressed genes in enrichment showed significant immune function differences between high-risk and low-risk groups. This suggests that immune-related mechanisms affect CRC prognosis. This research proposes a prediction model employing 11 ferroptosis-related genes that may help personalise treatment and evaluate CRC patients' prognoses.