A multi-immune gene prognostic model for evaluation of survival and prognosis of colorectal cancer

Abstract

Objective: We aimed to construct a multi-immune gene model for the prognosis of colorectal cancer. This study would not only provide important clinical data for the evaluation of survival and prognosis of colorectal cancer, but provide insights into the tumor immune mechanisms.Methods: Colorectal cancer gene expression and clinicopathological data were downloaded from the TCGA database, and then we performed gene expression analysis to obtain differentially expressed genes. In addition, we downloaded immune genes from the ImmPort immune gene database, and obtained differentially expressed immune genes after intersection with the differentially expressed colorectal cancer genes. We further performed survival analysis of the differential immune genes to obtain prognosis-related genes, which were used to construct a multi-immune gene prognostic model. We then analyzed the impact of the prognostic model risk score on the survival of colorectal cancer patients through survival analysis, using ROC analysis. In addition, we performed risk curve analysis to validate the accuracy of the prognostic model risk score in assessing the prognosis of colorectal cancer, and also conducted independent prognostic analysis. Finally, we analyzed the correlation between the immune genes, and transcription factors as well as immune cells.Results: Our analysis showed that prognosis of the high-risk group as evaluated by the immune gene prognosis model risk score was poor (P<0.001). The prognostic model risk score could accurately classify the colorectal patients and has high accuracy in the analysis of prognosis of colorectal cancer (AUC=0.861). Our data demonstrated a certain correlation between the immune genes, transcription factors and immune cells.Conclusions: The constructed prognostic model could accurately assess the prognosis and survival of patients with colorectal cancer. Immune genes might regulate malignant progression of tumors by modulating the production of transcription factors and immune cells. This study demonstrated the influence of immune factors on the prognosis of colorectal cancer and provided a reference for further studies evaluating the role of immunity in the development of colorectal cancer.