Development of a prognostic model based on an immunogenomic landscape analysis of colorectal cancer

Screening and therapeutic programs for colorectal cancer (CRC) are invasive or not effective and unable to meet patient needs. Major advances in immunogenomics may change this status but need more exploration. Differentially expressed genes and immune-related genes (IRGs) were identified by computational methods. A prognostic model was established and validated based on survival-related IRGs via stepwise multivariate Cox regression analysis. Nine IRGs were selected and identified as survival-related genes. A 7-gene prognostic model could offer a preliminary and valid determination of risk in CRC patients. The area under the curve of the receiver operating characteristic was 0.672. The 7-gene prognostic model might be used as a novel prognostic tool in CRC patients.

Automated summary

Traditional screening and therapeutic programs for colorectal cancer are insufficient, but advances in immunogenomics show promise. By identifying survival-related IRGs and establishing a prognostic model, it offers a new approach in determining risk for CRC patients.