Ferroptosis-related genes are potential prognostic molecular markers for patients with colorectal cancer

Ferroptosis is a newly discovered programmed cell death that plays a vital role in the occurrence and development of tumors. However, little is known about its prognostic value of ferroptosis-related genes (FRGs) in colorectal cancer (CRC). This study was to investigate the clinical significance of FRGs on overall survival (OS) of patients with CRC. The mRNA expression profiles and corresponding clinical data of CRC patients were downloaded from public databases. Least absolute shrinkage and selection operator (LASSO) Cox regression was applied to identify hub FRGs and establish a novel ferroptosis-related gene signature in predicting OS in training cohort, and assessed in the validation cohort. Then, the genomic-clinicopathologic nomogram integrating risk scores and clinicopathological features were established. Thirteen FRGs were identified to be most significantly related to the OS of CRC patients. Based on the LASSO Cox regression algorithm, we selected 10 genes from 13 FRGs to establish a prognostic risk signature. The log-rank test and Kaplan-Meier analysis confirmed the predictive value of the risk scores for OS in CRC patients. The time-dependent receiver operating characteristic (tdROC) of signature indicates the showed powerful prediction ability in both training cohort and validation cohort. Then, a genomic-clinicopathologic nomogram integrating age, stage, and risk scores was established and demonstrated high predictive accuracy and clinical value, which was validated through tdROC and calibration curves. The ferroptosis-related gene signature and genomic-clinicopathologic nomogram could be used to predict the prognosis of CRC patients and might also be potential therapeutic targets.

Automated summary

The study identified 13 most significantly related FRGs to the OS of CRC patients and established a prognostic risk signature with 10 genes. The predictive value of the risk scores for OS in CRC patients was confirmed through testing in the validation cohort. Establishing a genomic-clinicopathologic nomogram further improved prediction accuracy and clinical value.