Development of a prognostic risk marker of colon adenocarcinoma based on a weighted gene co-expression network and its clinical significance / 中国比较医学杂志

ABSTRACT

Objective Because of the poor prognosis of colon adenocarcinoma(COAD),it is necessary to screen prognosis-related genes in COAD patients and establish a new prognostic risk assessment model.Methods COAD-related data from the cancer genome atlas(TCGA)and gene expression omnibus(GEO)were used as training and validation sets,respectively.Weighted gene co-expression network analysis(WGCNA),a Cox regression model and least absolute selection and shrinkage operator(LASSO)regression analysis were used to screen prognosis-related genes of COAD and establish a prognostic model.A receiver operating characteristic(ROC)curve was combined with a survival curve to verify the model accuracy,and a nomogram was constructed.Patients were divided into two groups by the median risk score.The immune cell proportion score(IPS)was used to evaluate the immunotherapy response of the two groups.Results A total of 15 feature genes were screened.The area under the ROC curve in the predictive model of COAD patients was＞0.6,and the survival rate of the high-risk group was significantly lower than that of the low-risk group(P＜0.05),suggesting a good distinguishing ability for high-and low-risk COAD patients.Patients in the low-risk group had a higher IPS(P=0.026),indicating a better response to immunotherapy.Conclusions The model developed for COAD in this study has a good ability to predict the survival of patients at high and low risk of COAD.