Constructing a sixteen lactate-related gene risk signature for LUAD to predict the prognosis and TME by machine learning.

ABSTRACT: Although it is the most common subtype of lung cancer in clinical practice, lung adenocarcinoma (LUAD) was proven to be associated with a poor prognosis. In recent years, lactate metabolism has been considered an important biological mechanism in lung cancer. However, the mechanisms of lactate-related genes in tumour microenvironment (TME) of LUAD are unknown. Lactate-related genes modification patterns in 701 LUAD samples from TCGA and GEO database were systematically assessed on the basis of 16 lactate-related genes (LRGs).We also identified the correlation of these clusters to the TME and immune cell infiltration in the TME. After unsupervised clustering analysis was performed, the LUAD samples were divided into three lactate-related gene phenotypes on the basis of 36 prognostic lactate

SUBMITTER: Wang J 

PROVIDER: S-EPMC12635359 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature