| Objective: According to the survey,the incidence of lung cancer is the highest in the world,and the mortality rate is not only in China,but also in the world.Among them,NSCLC patients account for more than 80% of all lung cancer patients.In recent decades,NSCLC patients in surgery.With the continuous development of treatment methods,a treatment system based on microsurgery has been formed,but the overall treatment effect is still not ideal.The occurrence and progress of human cancer is related to immune function,but the difference related to immunity is lung cancer tissue and adjacent.The aim of this study was to investigate the effect of immune genes on the prognosis of NSCLC.Methods: The first part of the study was to identify immune-related DEGs in lung cancer tissues and adjacent tissues of patients with NSCLC.In this study,we integrated the information of lung adenocarcinoma and lung squamous carcinoma after obtaining transcriptome expression and clinical data from the TCGA,and a edge R" package from bioinformatics tools was used to screen genes with significant differences in expression from tumor tissues and adjacent tissues of NSCLC,and extracted the immune-related parts.The second part of the study: development and validation of risk models that predict prognosis in NSCLC.In this study,“survival”,“survival ROC” and “rms”packages were used to conduct univariate analysis and multivariate Cox regression analysis to establish prognostic risk model of immune-related DEGs.The model was tested with the data including transcriptome expression and clinical characteristics from the GEO.The third part of the study was to explore the role of immune-related differential genes in the development and progression of NSCLC.In this experiment,GO and KEGG analysis of immune-related DEGs were performed by "cluster Profiler"package.Somatic genomic mutations and copy number changes of these genes in NSCLC were analyzed by network analysis tool c Bioportal.The "GSVA" package was used to analyze the variation of gene sets to explore the differences of different pathways.Results: Immune-related DEGs in lung cancer tissues and paracancerous tissues of patients with NSCLC: "edge R" was included in the tumor tissues and paracancerous tissues of TCGA samples,and 4549 DEGs were identified,among which 336 genes were immune-related.The prognosis of NSCLC risk model: excluding delete data,this study included 909 patients with NSCLC transcriptome expression data and clinical characteristics of the data.Single factor analysis had 31 meaningful genes were used in multiariable Cox regression analysis,and got a prognostic risk model established by CRHR2,LIFR,UMODL1,FGA,LCN15,PTX3,SEMA4 B.The specificity and sensitivity of the model were verified by the data in the GEO database.The role of immune-related DEGs in the development of NSCLC: These immune-related DEGs were enriched in different signaling pathways,including the RAS and RAP1 signaling pathways,as well as in humoral immune responses.CRHR2,LIFR and UMODL1 were protective genes,FGA,LCN15,PTX3 and SEMA4 B were risk genes,and all of them can independently affect the survival of patients with NSCLC.The results of GSVA analysis showed that in terms of the relevant immune characteristics,the differences in their expression led to abnormal apoptosis and irregular cell cycle,which led to the initiation and progression of NSCLC.Conclusion: 1.336 genes,including CRHR2,LIFR,UMODL1,FGA,LCN15,PTX3,and SEMA4 B,are immune-related differential genes in non-small cell lung cancer.2.Prognostic risk model established by CRHR2,LIFR,UMODL1,FGA,LCN15,PTX3,and SEMA4 B can predict survival in patients with NSCLC.3.CRHR2,LIFR and UMODL1 were protective genes,FGA,LCN15,PTX3 and SEMA4 B were risk genes,and all of them can independently affect the survival of patients with NSCLC. |
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