Unknown

Dataset Information

Identification of metabolic driver genes and targeted drug screening for lung adenocarcinoma metastasis at the single-cell resolution.


ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the predominant type of lung cancer, and metastasis is a major cause of poor prognosis and death. Metabolic activation is a crucial factor driving tumor metastasis; however, the metabolic heterogeneity at the single-cell level presents significant challenges in targeting metabolism-related genes for treatment. This study aimed to decode the metabolic drivers in tumor metastasis progression to optimize LUAD prognosis prediction and screen specific targeted drugs.

Methods

In this study, we determined that the metabolic activation of tumor and immune cells in the microenvironment is significantly altered during LUAD metastasis. Simultaneously, we identify pivotal metabolic driver genes (MDGs) based on single-cell RNA-sequencing (scRNA-se

SUBMITTER: Wu L 

PROVIDER: S-EPMC12432774 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature