Integrated bulk and single-cell transcriptomics to develop an efferocytosis-related prognostic model for lung adenocarcinoma and validate the key gene LDHA.

ABSTRACT:

Background

Efferocytosis, the phagocytic clearance of apoptotic cells, exerts dual anti-inflammatory and pro-tumorigenic effects, while existing studies have not well-elucidated the underlying mechanisms in Lung adenocarcinoma (LUAD). This study aims at identifying prognostic genes related to efferocytosis and potential therapeutic targets in LUAD.

Methods

LUAD-related gene expression data sets were obtained from UCSC Xena and GEO databases, while efferocytosis-related genes (ERGs) were sourced from the GeneCards database. Unsupervised consensus clustering analysis assisted in classifying LUAD patients into two distinct subgroups, after which differential gene expression was analyzed for identifying differentially expressed genes (DEGs). Subsequently, a four-gene prognostic

SUBMITTER: Zhang W 

PROVIDER: S-EPMC12798036 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature