Construction And Validation Of A Model For Predicting The Prognosis Of Lung Adenocarcinoma Based On Purine Metabolism-related Genes

Objective:To explore the potential of purine metabolism-related genes in predicting the prognosis of lung adenocarcinoma patients.Methods:Purine metabolism-related gene data were obtained from the Gene Cards database,m RNA transcriptome data and clinical data of lung adenocarcinoma were derived from the Cancer Genome Atlas(TCGA)database,and Perl and R software were used to screen out purine metabolism-related genes with different expressions related to the prognosis of lung adenocarcinoma,and gene ontology function(GO)and Kyoto Gene and Genome Encyclopedia Pathway(KEGG)enrichment analysis was performed,and Cox regression and lasso(LASSO)were used Regression analysis to establish a prognostic model,through Kaplan-Meier survival curve,area under the receiver operating characteristic curve(ROC)(AUC)and verification of the reliability of the prognostic model,and then using the dataset in the gene expression database(GEO)for external testing,and then using Cox regression to analyze the relationship between clinical factors and the prognosis of lung adenocarcinoma patients,the most commonly used immunohistochemical test verification of the prognostic model gene and statistical analysis.To observe the expression of gene expression in lung adenocarcinoma tumor tissues and its prognostic value.Results:In this study,five purine metabolism-related genes(CD19,CYP17A1,INHA,KHDRBS2,PLK1)associated with the prognosis of lung adenocarcinoma were screened and a related prognostic risk score model was established.According to the median risk score,the patients were divided into high and low risk groups,the survival time of the low risk group was longer than that of the high risk group(P<0.001),the area under the ROC curve was 0.76,the tumor stage and risk score were the independent prognostic risk factors(P<0.05)of lung adenocarcinoma patients,and the area under the ROC curve was0.96 in the external verification set,suggesting that the model had good predictability,and the results of purine metabolism genes related to the prognostic model of lung adenocarcinoma after immunohistochemical analysis showed that INHA and PLK1 gene expression proteins were highly expressed in tumor tissues(P <0.05).Finally,high expression of INHA and PLK1 was associated with shorter survival(P<0.05).Conclusion:Genes related to purine metabolism may affect the prognosis of lung adenocarcinoma patients by promoting the proliferation of lung adenocarcinoma cells,and the prognostic model established here can provide a potential basis for clinical research.