Bioinformatics analysis of differentially expressed immune genes in colorectal cancer and their clinical significance
[Objective]To analyse differentially expressed immune genes(DEIGs)and their clinical significance of colorectal cancer(CRC)through bioinformatics,and to predict potential therapeutic targets for CRC.[Method]Differentially expressed genes(DEGs)between 448 CRC and 39 normal samples of TCGA were screened through the R software.Immune gene set was obtained from the ImmPort database.The intersection of DEGs and the immune gene set was taken to obtain DEIGs.GO and KEGG pathway analysis were performed to explore the functions of DEIGs.Then,the DEIGs and clinical factors were progres-sively incorporated into the univariate Cox regression,Lasso regression and multivariate Cox regression,to explore the impact of DEIGs on CRC prognosis.Finally,the relationship between the DEIGs and the immune infiltration was analyzed.[Result]A to-tal of 487 DEIGs were identified,GO/KEGG analysis showed that 80 GO terms and 74 KEGG terms were significantly enriched(P＜0.05).High expression of MC1R and UCN,tumor stage and vascular invasion were independent risk factors for poor prog-nosis of CRC(P＜0.05).High expression of MC1R and UCN were associated with poorer overall survival(OS)in CRC pa-tients(P=0.000 53,P=0.001 2).In the high and low expression groups of MC1R and UCN,the infiltration of T cells,B cells and NK cells showed significant differences,with statistical significance(P＜0.05).[Conclusion]Based on bioinformatics,two DEIGs(MC1R and UCN)were found to be highly expressed in CRC,and they were significantly associated with the poor prog-nosis and immune cell infiltration of CRC,thus laying the foundation for subsequent research.
万方数据
维普
