Prediction and identification of immune genes related to the prognosis of patients with colon adenocarcinoma and its mechanisms

Abstract Background Colon adenocarcinoma(COAD) is a type of gastrointestinal tumor with a high degree of malignancy, and its immunotherapy method has been stagnant. Recently, with the development of network databases and the development of bioinformatics tools, we can analyze the data in the current database to find out which genes may be the target of immunotherapy for COAD. Methods We use various codes and packages in R language to analyze the downloaded data, construct a riskScore model of immune genes and clinical data, and use Cox regression analysis to explore the clinical relationship between riskScore and COAD. Results We found that seven immune genes associated with the survival prognosis of COAD were related to the construction of a riskScore model. And Cox regression analysis found that there was clinical significance and statistical significance between the riskScore model and clinical data of COAD. Some traditional immune microenvironment cells also increase their cell content with the increase of riskScore. Conclusions We found 7 immune genes (SLC10A2, CXCL3, IGHV5-51, INHBA, STC1, UCN, and OXTR) that affect the clinical prognosis of COAD patients and can construct a riskScore model. It may be a target for future COAD immunotherapy.