Predictive value of immunomodulatory-related genes for the prognosis of lung adenocarcinoma based on bioinformatics analysis.

ABSTRACT: Lung adenocarcinoma (LUAD), characterized by its heterogeneity and high invasiveness, remains a challenging disease despite significant advancements in immunotherapy. Our study aimed to elucidate the expression differences of immunomodulatory-related genes in LUAD tissues compared to normal tissues and to validate the predictive role of these genes in the diagnosis, immunotherapy, and prognostic assessment of LUAD. Gene expression profiles and clinical data were extracted from TCGA and GEO datasets. GO analysis, KEGG pathway analysis, and GSEA were employed to identify biological process disparities. The single-sample Gene Set Enrichment Analysis (ssGSEA) was used to assess immune cell infiltration in distinct LUAD disease subtypes and derive an immunomodulatory score (Is) for patients wit

SUBMITTER: Yang L 

PROVIDER: S-EPMC12748343 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature