Comprehensive analysis of a machine learning prognostic model for the interaction between mitochondrial function and lactylation in lung adenocarcinoma.

ABSTRACT:

Background

Mitochondrial function and lactylation play important roles in the development of lung adenocarcinoma (LUAD). However, the impact of their interaction on the prognosis of LUAD still needs further investigation.

Methods

A prognostic model was developed via machine learning algorithms. LUAD patients were grouped based on the median risk score, and the differences between groups in tumor biological characteristics, tumor immunity, and drug sensitivity were analyzed. Consensus clustering analysis was performed, and a nomogram survival prediction model was constructed.

Results

We constructed an optimal prognostic model with 11 valuable signature genes. LUAD patients were classified into high- and low-risk groups based on the median risk score. The high-risk grou

SUBMITTER: Xia Y 

PROVIDER: S-EPMC12572535 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature