Identification of age- and immune-related gene signatures for clinical outcome prediction in lung adenocarcinoma.

ABSTRACT:

Background

The understanding of the factors causing decreased overall survival (OS) in older patients compared to younger patients in lung adenocarcinoma (LUAD) remains.

Methods

Gene expression profiles of LUAD were obtained from publicly available databases by Kaplan-Meier analysis was performed to determine whether age was associated with patient OS. The immune cell composition in the tumor microenvironment (TME) was evaluated using CIBERSORT. The fraction of stromal and immune cells in tumor samples were also using assessed using multiple tools including ESTIMATE, EPIC, and TIMER. Differentially expressed genes (DEGs) from the RNA-Seq data that were associated with age and immune cell composition were identified using the R package DEGseq. A 22-gene signature composed of

SUBMITTER: Zhou A 

PROVIDER: S-EPMC10501266 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature