ArticleTranslational cancer research2026
Lipid metabolism-related gene expression predicts prognostic outcomes in lung adenocarcinoma.
Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Aberrant lipid metabolism is closely associated with tumorigenesis and progression; however, its specific roles and molecular mechanisms in lung adenocarcinoma (LUAD) remain to be fully elucidated. This study aims to develop a prognostic signature based on lipid metabolism-related genes and to investigate the functional role of the key gene Methods: Transcriptomic profiles and clinical data pertaining to LUAD were retrieved from the Gene Expression Omnibus (GEO) (training set) and The Cancer Genome Atlas (TCGA) (external test set) repository. A lipid metabolism-related gene set was obtained from the Gene Set Enrichment Analysis (GSEA) online portal. Prognostic lipid metabolism-related genes were identified through univariate Cox, followed by Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate Cox regression analyses to construct a prognostic signature. The predictive accuracy of this model was assessed using Kaplan-Meier survival analysis and time-dependent receiver operating characteristic (ROC) curves. Functional enrichment analysis was performed to investigate the potential biological processes associated with differentially expressed genes (DEGs) between the high- and low-risk groups. The expression levels of the 12 signature genes in LUAD cell lines were quantified by quantitative real-time polymerase chain reaction (qRT-PCR). The oncogenic functions of Results: A prognostic signature comprising 12 lipid metabolism-related genes ( Conclusions: This study developed and validated a novel lipid metabolism-related prognostic signature that functions as an independent indicator for LUAD patient. Furthermore,
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