ArticleLipids in health and disease2020
Lipid metabolism gene-wide profile and survival signature of lung adenocarcinoma.
Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed, 54 citations in OpenAlex.
- Integrated Proteomic and scRNA-Seq Analysis Reveals Pyroptosis-Related Subtypes in Lung Adenocarcinoma.The clinical respiratory journal · 2026Article
- Association of HPGDS Expression with Prognosis and Immune Microenvironment Remodeling in Pancreatic Cancer.Cancer management and research · 2026Article
- UGT1A6 in pancreatic cancer: a promising prognostic biomarker and therapeutic target.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Exploration of prognosis and immune infiltration characteristics in glioblastoma multiforme based on lipid metabolism related genes.Discover oncology · 2025Article
- Integrated systems biology reveals an 8-gene signature predicting early-stage lung adenocarcinoma progression and patient survival.Scientific reports · 2025Article
- Applications of Limonene in Neoplasms and Non-Neoplastic Diseases.International journal of molecular sciences · 2025Review
- Construction of lung adenocarcinoma subtype and prognosis model based on fatty acid metabolism-related genes.Discover oncology · 2025Article
- Article
- Identification of prognostic and therapeutic biomarkers associated with macrophage and lipid metabolism in pancreatic cancer.Scientific reports · 2025Article
- Identifying Lipid Metabolism-Related Therapeutic Targets and Diagnostic Markers for Lung Adenocarcinoma by Mendelian Randomization and Machine Learning Analysis.Thoracic cancer · 2025Article
- Chitosan capped-NLCs enhanced codelivery of gefitinib and simvastatin into MDR HCC: impact of compositions on cell death, JNK3, and Telomerase.Oncology research · 2025Article
- A novel model based on lipid metabolism-related genes associated with immune microenvironment predicts metastasis of breast cancer.Discover oncology · 2024Article
- The role of DGAT1 and DGAT2 in regulating tumor cell growth and their potential clinical implications.Journal of translational medicine · 2024Review
- Changes in DNA Methylation and mRNA Expression in Lung Tissue after Long-Term Supplementation with an Increased Dose of Cholecalciferol.International journal of molecular sciences · 2023Article
- Identification and immune landscape analysis of fatty acid metabolism genes related subtypes of gastric cancer.Scientific reports · 2023Article
- Transcriptomic analysis identifies CYP27A1 as a diagnostic marker for the prognosis and immunity in lung adenocarcinoma.BMC immunology · 2023Article
- Comprehensive analyses of fatty acid metabolism-related lncRNA for ovarian cancer patients.Scientific reports · 2023Article
- A novel lipid metabolism gene signature for clear cell renal cell carcinoma using integrated bioinformatics analysis.Frontiers in cell and developmental biology · 2023Article
- An in-silico approach leads to explore six genes as a molecular signatures of lung adenocarcinoma.American journal of cancer research · 2023Article
- Aberrations in ion channels interacting with lipid metabolism and epithelial-mesenchymal transition in esophageal squamous cell carcinoma.Frontiers in molecular biosciences · 2023Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundLung cancer has high morbidity and mortality across the globe, and lung adenocarcinoma (LUAD) is the most common histologic subtype. Disordered lipid metabolism is related to the development of cancer. Analysis of lipid-related transcriptome helps shed light on the diagnosis and prognostic biomarkers of LUAD.
methodsIn this study, expression analysis of 1045 lipid metabolism-related genes was performed between LUAD tumors and normal tissues derived from the Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) cohort. The interaction network of differentially expressed genes (DEGs) was constructed to identify the hub genes. The association between hub genes and overall survival (OS) was evaluated and formed a model to predict the prognosis of LUAD using a nomogram. The model was validated by another cohort, GSE13213.
resultsA total of 217 lipid metabolism-related DEGs were detected in LUAD. Genes were significantly enriched in glycerophospholipid metabolism, fatty acid metabolic process, and eicosanoid signaling. Through network analysis and cytoHubba, 6 hub genes were identified, including INS, LPL, HPGDS, DGAT1, UGT1A6, and CYP2C9. High expression of CYP2C9, UGT1A6, and INS, and low expressions of DGAT1, HPGDS, and LPL, were associated with worse overall survival for 1925 LUAD patients. The model showed that the high-risk score group had a worse OS, and the validated cohort showed the same result.
conclusionsIn this study, a signature of 6 lipid metabolism genes was constructed, which was significantly associated with the diagnosis and prognosis of LUAD patients. Thus, the gene signature can be used as a biomarker for LUAD.
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