As a malignancy with high morbidity and mortality, lung adenocarcinoma (LUAD) has a poor prognosis due to its heterogeneity and inadequate early diagnosis. Clinical information and transcriptomic data of 576 LUAD patients were downloaded from the TCGA database, 149 immune-infiltrated genes highly associated with stromal score, immune score and tumor purity were extracted from the LUAD-related differentially expressed genes via performing immunoanalysis and weighted gene co-expression networkanalysis. On this basis, survival analysis and LASSO regression analysis were applied to these genes. Three LUAD driving genes (IL16, P2RY13 and HLA-DPB1) related to immune infiltration were obtained and subsequently transformed into a risk assessment model. ROC curve showed that the model could effectively simulate the survival rates of LUAD patients at one-year, three-year and five-year, and the predicted AUC results were 0.74, 0.68 and 0.70, respectively. Immunoanalysis displayed that the low-risk group got higher stromal and immune scores and lower tumor purity than those in the high-risk group, and the enrichment of immune cells in the low-risk group was significantly higher than that in the high-risk group. In summary, these results may provide theoretical guidance for the clinical studies of LUAD.
Key words： Lung adenocarcinoma; Immune infiltration; Lung adenocarcinoma driving gene
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