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ABSTRACT: Background
This study aims at screening and validation of prospective genetic signature for lung adenocarcinoma (LUAD) prognosis and treatment.Methods
The immune-related genes (IRGs) were obtained from The Cancer Genome Atlas (TCGA) dataset where a total of 535 LUAD and 59 control samples were included. A risk model was then developed for the risk stratification of LUAD patients. The immune cell infiltration, clinical outcomes, and the therapeutic efficacy of programmed cell death protein 1 (PD-1) and its ligand (PD-L1) blockade were compared between high and low-risk groups. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used to explore the biological processes and signalling pathways associated with the IRGs. Finally, IRGs mRNA levels we
SUBMITTER: Huang J
PROVIDER: S-EPMC11798321 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature