ACSBG1‑driven lipid reprogramming unveiled: A fatty acid metabolism‑associated prognostic model for lung adenocarcinoma

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Authors: Panxin Hu, Anan Li
Cited by: 0

Abstract

Lung adenocarcinoma (LUAD) remains a leading cause of cancer-associated mortality with limited prognostic biomarkers.Fatty acid metabolism (FAM) reprogramming serves a pivotal role in tumor progression; however, the functional importance of specific FAM genes, such as ACSBG1, in LUAD remains elusive.In the present study, transcriptomics data from The Cancer Genome Atlas (n=517) and Gene Expression Omnibus-GSE13213 (n=117) were analyzed to identify FAM-related differentially expressed genes (DEGs).Least Absolute Shrinkage and Selection Operator regression and Shapley Additive Explanations (SHAP) interpretable analyses established a prognostic model, and in vitro experiments using A549 and H1299 cell lines with ACSBG1 overexpression (OE) and knockdown.Functional assays included Cell Counting Kit-8, EdU, Transwell and apoptosis analyses.A total of 35 FAM-related DEGs were identified, which were enriched in PPAR signaling and fatty acid degradation pathways (false discovery rate

Fields of Study & Subjects

Cancer Lipids and Metabolism Ferroptosis and cancer prognosis Lung Cancer Research Studies

Publication details

Journal / source
Oncology Reports
Volume
55
Issue
5
Pages
1–12
Publication date
27 February 2026
Language
EN