Demystifying programmed cell death in lung adenocarcinoma: combined prognostic model construction.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) presents significant treatment challenges due to late-stage diagnosis and limited therapeutic options. The prognostic value of programmed cell death (PCD) gene signatures in LUAD remains inadequately investigated. This study aims to develop and validate prognostic models based on PCD-related genes, particularly necroptosis and pyroptosis, to improve risk stratification and identify potential therapeutic targets for LUAD patients.

Methods

Multiple prognostic models and a combined prognostic model (CPM) for LUAD were developed using least absolute shrinkage and selection operator (LASSO) regression, based on 12 PCD-related prognostic genes. Model performance was assessed using time-dependent receiver operating characteristic (ROC) curves.

SUBMITTER: Li Y 

PROVIDER: S-EPMC12554473 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature