Background: The mortality of lung adenocarcinoma(LUAD) is high. Recent studies have found that the
degree of immune infiltration and stromal cells in the tumour microenvironment or tumours makes a significant contribution to prognosis.
Methods: During study, we screened differentially expressed genes (DEGs) of TCGA database for prognostic genes in
LUAD immune microenvironment. Further, immune and stromal cells were quantified using ESTIMATE algorithm.
To study the effects of immune and stromal cell-associated genes on the prognosis of LUAD, LUAD patients were divided into high and low groups according to their immune/ stromal scores. The obtained scores were found to be related to the phenotype and survival rate of LUAD patients. By selecting DEGs with high expression in immune and
stromal cells, we performed functional enrichment analysis and found that most genes are associated with pathways of
cancer, stimulus response and the MAPK signaling. The functions and enriched pathways of LUAD prognostic genes
were shown by a protein-protein interaction (PPI) network. Nonetheless, an external database was used to validate the
prognostic genes from the TCGA.
Results: Prognostic genes were listed according to their expression position and protein function.
Conclusion: We provided a new targets for immunotherapy of LUAD, which further provides basic knowledge for future clinical research.