Construction of Immune-related Genes Prognostic Risk Model of Gastric Cancer Based on TCGA and Its Correlation Analysis
Objective The TCGA database gastric cancer data set was analyzed to construct a prognostic risk model based on immune-related genes.Methods The gene expression data and patient-related clinical data of gastric cancer tissues and adjacent tissues in the TCGA database were downloaded for data collation,merging,and expression difference analysis.The differ-entially expressed immune-related genes(IRGs)were obtained by intersection with the ImmPort database,and GO function en-richment analysis and KEGG pathway enrichment analysis were performed.According to the exclusion criteria,gastric cancer sam-ples were randomly divided into Train group(224 cases)and Test group(111 cases).The prognostic risk model of immune-relat-ed genes was constructed by Train group and tested by Test group.The expression data of gastric cancer were divided into high and low risk groups according to the evaluation model,and immune infiltration was performed to analyze the differences in the ex-pression levels of immune cells between the 2 groups.The differences in the expression of immune checkpoints between the 2 groups and the results of immunotherapy were observed.Results A total of 238 differentially expressed IRGs were obtained.GO functional enrichment analysis showed that differentially expressed IRGs were mainly involved in biological processes such as im-munoglobulin production and production of immune response molecular mediators.KEGG pathway enrichment analysis showed that differentially expressed IRGs were mainly involved in cytokine-cytokine receptor interaction,neuroactive ligand-receptor interac-tion and other pathways.Through data analysis,a prognostic risk model constructed by 6 IRGs(MPO APOH IGHD3-16 CGB5 GHR PRKCG)was obtained.The survival rate of the high-risk group in the Train group and the Test group was significantly lower than that in the low-risk group(P<0.05).The area under the ROC curve in the third year of the Train group was0.692,and the area under the ROC curve in the third year of the Test group was 0.658.The model can be used as an independent predictor to e-valuate the prognosis of patients with gastric cancer.There were significant differences in the expression of naive B cells,activated memory CD4 +T cells,resting mast cells and activated mast cells between the high and low risk groups.The expression of PD-L1 in the low-risk group was increased,and the effect of anti-PD-1 treatment was more significant.Conclusion This study identified an immune-related genes prognostic risk model for gastric cancer,which can effectively evaluate the prognosis of gastric cancer pa-tients and guide individualized treatment.
万方数据
维普
