ArticleCancer medicine2020
Construction of a lipid metabolism-related and immune-associated prognostic signature for hepatocellular carcinoma.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- The multifaceted roles of the ACSL family in cancer: Metabolic reprogramming, ferroptosis regulation and tumour immune microenvironment remodelling.Clinical and translational medicine · 2026Review
- Research Progress on the Mechanisms of Traditional Chinese Medicine in Preventing and Treating HCC Invasion and Metastasis Based on Lipid Metabolic Reprogramming.Current topics in medicinal chemistry · 2026Review
- HSF1 modulates lipid metabolism and ferroptosis in sarcopenia: a novel diagnostic biomarker and therapeutic target.Frontiers in molecular biosciences · 2026Article
- Exploring the role of lipid metabolism genes in gastric cancer prognosis and tumor immune microenvironment.The Journal of international medical research · 2025Article
- Exploration of prognosis and immune infiltration characteristics in glioblastoma multiforme based on lipid metabolism related genes.Discover oncology · 2025Article
- High expression of SMPD4 promotes liver cancer and is associated with poor prognosis.BMC research notes · 2025Article
- Expression of lipid-metabolism genes is correlated with immune microenvironment and predicts prognosis of hepatocellular carcinoma.Scientific reports · 2024Article
- A novel model based on lipid metabolism-related genes associated with immune microenvironment predicts metastasis of breast cancer.Discover oncology · 2024Article
- Harnessing lipid metabolism modulation for improved immunotherapy outcomes in lung adenocarcinoma.Journal for immunotherapy of cancer · 2024Article
- A Novel Amino Acid-Related Gene Signature Predicts Overall Survival in Patients With Hepatocellular Carcinoma.Cancer reports (Hoboken, N.J.) · 2024Article
- A Four Amino Acid Metabolism-Associated Genes (AMGs) Signature for Predicting Overall Survival Outcomes and Immunotherapeutic Efficacy in Hepatocellular Carcinoma.Biochemical genetics · 2024Article
- Identification of prognostic biomarkers for hepatocellular carcinoma with vascular invasion.American journal of translational research · 2024Article
- Identification and functional analysis of lactic acid metabolism-related differentially expressed genes in hepatocellular carcinoma.Frontiers in genetics · 2024Article
- Progressions of the correlation between lipid metabolism and immune infiltration characteristics in gastric cancer and identification of BCHE as a potential biomarker.Frontiers in immunology · 2024Article
- Identification and immune landscape analysis of fatty acid metabolism genes related subtypes of gastric cancer.Scientific reports · 2023Article
- Metabolic reprogramming, autophagy, and ferroptosis: Novel arsenals to overcome immunotherapy resistance in gastrointestinal cancer.Cancer medicine · 2023Review
- Identifying prognostic markers in spatially heterogeneous breast cancer microenvironment.Journal of translational medicine · 2023Article
- Impact of HepG2 Cells Glutathione Depletion on Neutral Sphingomyelinases mRNA Levels and Activity.Current issues in molecular biology · 2023Article
- Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment.BMC medical genomics · 2023Article
- Construction of a lipid metabolism-related and immune-associated prognostic score for gastric cancer.BMC medical genomics · 2023Article
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3 authors.
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Abstract
backgroundHepatocellular carcinoma (HCC) is one of the most lethal malignancies. We aimed to identify a robust lipid metabolism-related signature associated with the HCC microenvironment to improve the prognostic prediction of HCC patients.
methodsWe analyzed the gene expression profiles of lipid metabolism from Molecular Signatures Database and information of patients from The Cancer Genome Atlas. Gene set variation analysis (GSVA), gene set enrichment analysis (GSEA), and principal component analysis (PCA) were employed for functional annotation. Quantitative real-time polymerase chain reaction (qRT-PCR) was employed to verify the expression of model genes in HCC and adjacent tissues.
resultsAs a result, a lipid metabolism-related signature consisting of acyl-CoA synthetase long-chain family member 6 (ACSL6), lysophosphatidylcholine acyltransferase 1, phospholipase A2 group 1B, lecithin-cholesterol acyltransferase (LCAT), and sphingomyelin phosphodiesterase 4 (SMPD4) was identified among HCC patients. Lysophosphatidylcholine acyltransferase 1, PLA2G1B, and SMPD4 were proved significantly high expression while ACSL6 and LCAT were remarkably low expression in our 15 pairs of matched HCC and normal tissues by qRT-PCR. Under different conditions, the overall survival (OS) of patients in low-risk group was prolonged than that in high-risk group. Moreover, the as-constructed signature was an independent factor, which was remarkably associated with gender, histologic grade, and platelet level of HCC patients. In addition, the receiver operating characteristic (ROC) curve analysis confirmed the good potency of the model. Functional enrichment analysis further revealed that lower fatty acid (FA) oxidation and higher infiltration of immunocytes were detected in patients from the high-risk group compared with those in the low-risk group.
conclusionsOur findings indicate that the lipid metabolism-related signature shows prognostic significance for HCC.
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