Objective To use A-to-I RNA editing(ATIRE)to establish a prediction model to predict the overall survival(OS)of lung adenocarcinoma(LUAD)patients,and to construct a nomogram for predicting LUAD OS according to ATIRE riskscore and clinicopathological characteristics.Methods The RNA editing data,transcriptome data and corresponding clinical data of LUAD patients were downloaded from the cancer genome atlas(TCGA)database to explore the survival-related ATIRE.Patients were randomly divided into the training set(n=287)and the validation set(n=192)to identify survival-related ATIRE sites and generate ATIRE riskscore through univariate COX hazard regression,Lasso regression,and multivariate stepwise COX hazard regression analyses.A nomogram was constructed to predict the OS of LUAD patients.Analyzed the correlation between RNA editing and gene expression and the effect of ATIRE on transcriptome expression.Results Four ATIRE loci(ADAM19|chr5:156904952,CWF19L1|chr10:101992267,FOXK1|chr7:4809281,CPT1A|chr11:68523468)were identified to generate a riskscore,and OS in the high-risk group was significantly lower for the training set,the validation set,and all patient groups.Nomograms performed well in predicting OS rates in LUAD.Conclusion The AITRE-based model can be used as a new tool for predicting LUAD survival.
Lung adenocarcinomaThe cancer genome atlasA-to-I RNA editingOverall survivalNomogram
万方数据
维普
