基于TCGA数据库的宫颈癌免疫基因预后模型构建及预后标志物鉴定OACSTPCD

Objective:To construct a prognostic model of cervical cancer based on im-munogenomics and to search for tumor prognostic molecules of cervical cancer(CC).Methods:Based on the transcriptome and clinical data of CC from TCGA database,differential immune-related genomes which closely related to the prognosis were analyzed by bioinformatics meth-ods.KEGG enrichment analysis was used to analyze the pathways and functions enriched by prognostic-related immune genes.Cox regression was used to construct a riskscore model to pre-dict the prognosis of patients and then its clinical value was evaluated.Then,independent prog-nostic analysis was used to identify immune prognostic genes associated with clinical character-istics,and to analyze their correlation with immune cell infiltration in tumor microenvironment.Results:5565 genes were differentially expressed in CC tissues and normal tissues,among which 339 were immune-related genes.Univariate Cox analysis showed that 24 immune genes were associated with prognosis.12 key prognostic genes(TNF,TFRC,APOBEC3H,CSK,OLR1,PTPN6,SBDS,AGT,TGFA,IL17RD,NRP1,ZAP70)finally determined via stepwise re-gression analysis to construct the riskscore model.K-M survival analysis showed that the overall survival of patients in the high-risk group was significantly lower than that of the low-risk group(P<0.01).The area under ROC curve was 0.75.In addition,the riskscore could reflect the clinical stage of patients(P<0.01),but there was no correlation with the age,and differentia-tion of tumor(P>0.05).Finally,two immune genes(OLR1 and ZAP70)were screened by cor-relation analysis.Moreover,the expression levels of OLR1 and ZAP70 were positively correlated with CD8+T cells,CD4+T cells,NKT cells,dendritic cells and helper T cells in tumor microen-vironment.Conclusion:Many immune-related genes in CC have abnormal expression,which are closely related to the prognosis of patients.The riskscore model based on it can effectively pre-dict the prognosis of patients and provide two new potential therapeutic target for immunothera-py of CC.