Predicting lymphoma prognosis using machine learning-based genes associated with lactylation.

ABSTRACT:

Background

Lactylation, a newly discovered PTM involving lactic acid, is linked to solid tumor proliferation and metastasis. Lymphoma patients exhibit high lactic acid levels, yet lactylation's role in lymphoma is underexplored. This study aimed to identify lactylation-related genes in lymphoma using tumor databases and assess their predictive value in patient prognosis through cell experiments and clinical specimens.

Methods

Using TCGA and GEO datasets, we analyzed the expression levels of lactylation-related genes in diffuse large B-cell lymphoma patients. We also evaluated the prognostic significance of lactylation gene risk scores, exploring their impact on drug sensitivity and tumor immune function. Key lactylation-affecting genes were identified and functionally valida

SUBMITTER: Zhu M 

PROVIDER: S-EPMC11375145 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature