Application value of a prognostic risk model based on lactate-related genes in non-small cell lung cancer.

ABSTRACT:

Background

Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide. Despite therapeutic advances, the outcomes of patients with advanced disease are still poor. This study was conducted to identify pathogenic and prognostic lactate-related genes (LRGs) in NSCLC to improve clinical treatment and prognosis.

Methods

Consensus clustering was applied to The Cancer Genome Atlas (TCGA) training cohort to delineate subtypes associated with lactate metabolism. On this basis, we established a prognostic signature of LRGs with least absolute shrinkage and selection operator (LASSO) Cox regression and assessed its predictive value in independent Gene Expression Omnibus (GEO) datasets. To clarify the mechanisms related to the model's ability, we e

SUBMITTER: Bao J 

PROVIDER: S-EPMC12686168 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature