Development of a prognostic RiskScore model using efferocytosis-related signature genes for lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) has high incidence and mortality rates. Efferocytosis is involved in the progression of various cancers. The current work set out to develop a prognosis signature using efferocytosis-related genes (ERGs) for LUAD.

Methods

Public databases were accessed to obtain bulk and single-cell data of LUAD. Molecular subtyping of LUAD was performed using ConsensusClusterPlus, and efferocytosis-related candidate genes were screened by weighted gene co-expression network analysis (WGCNA) in combination with differential analysis. Subsequently, Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to construct a prognostic RiskScore model, followed by evaluating the relationship between the RiskScore, immune infiltration, and

SUBMITTER: Dai Z 

PROVIDER: S-EPMC12422274 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature