biostudies-literatureUnknown16(14)Yang HS<b>Background</b>: Patients with "driver gene-negative" LUAD lack effective targeted therapies. This study aimed to elucidate the role of the glycolysis pathway in driver gene-negative LUAD to identify key genes and potential therapeutic targets. <b>Methods</b>: Bulk RNA sequencing data from 49 patients with driver gene-negative LUAD were analyzed. The driver gene-negative status of patients was confirmed by immunoblotting. Gene set enrichment analysis (GSEA) was conducted on six hallmark pathways related to glycolysis. Additionally, key genes were identified and a risk score model was constructed. Finally, single-cell RNA sequencing data were processed using the Seurat package for data cleaning, dimensionality reduction clustering, and cell type identification. <b>Results</b>: GSEA analysJournal of Cancer4233-4244https://www.ebi.ac.uk/biostudies/studies/S-EPMC12595263biostudies-literatureExploring the Glycolytic Mechanisms in "Driver Gene-Negative" Lung Adenocarcinoma (LUAD): A Single-Cell RNA Sequencing Approach to Identify the MIF-HIF-1α Axis.PMC12595263Chen QLiang CYYang HSZhang JHan YZhu WYu QDLi YHLuo HHfalseExploring the Glycolytic Mechanisms in "Driver Gene-Negative" Lung Adenocarcinoma (LUAD): A Single-Cell RNA Sequencing Approach to Identify the MIF-HIF-1α Axis.<b>Background</b>: Patients with "driver gene-negative" LUAD lack effective targeted therapies. This study aimed to elucidate the role of the glycolysis pathway in driver gene-negative LUAD to identify key genes and potential therapeutic targets. <b>Methods</b>: Bulk RNA sequencing data from 49 patients with driver gene-negative LUAD were analyzed. The driver gene-negative status of patients was confirmed by immunoblotting. Gene set enrichment analysis (GSEA) was conducted on six hallmark pathways related to glycolysis. Additionally, key genes were identified and a risk score model was constructed. Finally, single-cell RNA sequencing data were processed using the Seurat package for data cleaning, dimensionality reduction clustering, and cell type identification. <b>Results</b>: GSEA analys2025-01-01T00:00:00Z20252026-06-05T12:45:44.384Z2026-05-17T03:07:45.066ZS-EPMC125952634121069410.7150/jca.119149