Lactate metabolism-related genes serve as potential biomarkers for predicting gastric cancer progression and immunotherapy.

ABSTRACT:

Background

Targeting lactate metabolism represents a promising therapeutic strategy to enhance anti-tumor immune responses. In this study, we developed a novel model based on lactate metabolism-related genes (LRGs) to predict survival, characterize the immune microenvironment, and assess immunotherapy response in gastric cancer (GC), with the potential to identify new biomarkers.

Methods

Data sets of GC patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. LRGs were sourced from the MSigDB database. Five key prognostic LRGs (MMP11, MMP12, HBB, VSIG2, and SERPINE1) were identified using univariate COX regression and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Patients were classified into h

SUBMITTER: Yuan M 

PROVIDER: S-EPMC12141176 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature