A method for the identification of lactate metabolism-related prognostic biomarkers and its validations in non-small cell lung cancer.

ABSTRACT: Lactate metabolism (LM) plays a crucial role in tumor progression and therapy resistance in non-small cell lung cancer (NSCLC). Several methods had been developed for NSCLC prognosis prediction based on lactate metabolism-related information. The existing methods for the construction of prognosis prediction models are mostly based on single models such as linear models, SVM, and decision trees. Prognosis biomarkers and prognosis prediction models based on this kind of methods often have limited prognostic performance. In this study, we proposed a novel methodology for constructing prognosis prediction model and identifying lactate-related prognostic biomarkers in NSCLC. We first screened for lactate metabolism-related malignant genes from the scRNA-Seq data of NSCLC malignant cells. We pro

SUBMITTER: Yang W 

PROVIDER: S-EPMC11832748 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature