Microenvironment analysis of prognosis and molecular signature of immune-related genes in lung adenocarcinoma.

There is growing evidence on the clinical significance of Tumor Microenvironment (TME) cells in predicting prognosis and therapeutic effects. However, cell interactionsin tumor microenvironments have not been thoroughly studied or systematicallyanalyzed so far. In this study, 22 immune cell components in the lung adenocarcinoma(LUAD) TME were analyzed using gene expression profile from The Cancer GenomeAtlas (TCGA), Gene Expression Omnibus (GEO) . The TME based molecular subtypesof LUAD were defined to evaluate further the relationship between molecular subtypes,prognosis, and clinical characteristics. A TME risk score model was constructed byusing the differentially expressed genes (DEGs) of molecular subtypes. The relationshipbetween the TME score and clinical characteristics and genomic mutations wascompared to identify the genes that have significant associations with the TME. Thecomprehensive analysis of the TME characteristics maybe helpful in revealing theresponse of LUAD patients to immunotherapy, providing a new strategy forimmunotherapy.