Ontology highlight
ABSTRACT: Background
Lung adenocarcinoma (LUAD) represents a significant proportion of lung cancer cases, with immunotherapy serving as a cornerstone of treatment. Although immunotherapy has advanced significantly, the prognosis for patients in advanced stages remains suboptimal. Lactylation, a newly discovered metabolic pathway, has been recognized as a critical mechanism driving the initiation and development of many cancers, including LUAD. Using machine learning, this research aims to pinpoint lactylation-related lncRNAs (LRLs) that could serve as prognostic markers in LUAD, shedding light on tumor development and novel therapeutic avenues.Results
Four LRLs (AC090115.1, AC092718.4, AC092718.6, and AL451064.1) were incorporated into a prognostic model. This model successfully cate
SUBMITTER: Zhou L
PROVIDER: S-EPMC12748385 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature