ArticleMetabolites2023
Biomarker Discovery for Hepatocellular Carcinoma in Patients with Liver Cirrhosis Using Untargeted Metabolomics and Lipidomics Studies.
Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- aiSysMet: AI-powered systems metabolomics for biomarker discovery.Bioinformatics (Oxford, England) · 2026Article
- Evaluation of metabolite biomarker candidates in detecting HCC in patients with liver cirrhosis.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Systematic review of metabolomic profiles linked to liver cancer.Journal of liver cancer · 2026Article
- Widely Targeted Liver Metabolomics Reveals Potential Biomarkers in Mice with Drug-Induced Liver Injury.Metabolites · 2026Article
- Differential Metabolic Dysregulations in Hepatocellular Carcinoma and Cirrhosis: Insights into Lipidomic Signatures.Biomolecules · 2025Article
- Article
- Multi-Omics Feature Selection to Identify Biomarkers for Hepatocellular Carcinoma.Metabolites · 2025Article
- Integrative Analysis of Multi-Omics Data for Biomarker Discovery.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025Article
- Proteomic and metabolomic analysis of platelet related samples reveals energy metabolism disorders in hepatocellular carcinoma.Journal of translational medicine · 2025Article
- Nuclear magnetic resonance-based lipid metabolite profiles for differentiation of patients with liver cirrhosis with and without hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2025Article
- Comprehensive molecular characteristics of hepatocellular carcinoma based on multi-omics analysis.BMC cancer · 2025Article
- Plasma lipidomic analysis reveals disruption of ether phosphatidylcholine biosynthesis and facilitates early detection of hepatitis B-related hepatocellular carcinoma.Lipids in health and disease · 2025Article
- Novel Strategies against Hepatocellular Carcinoma through Lipid Metabolism.Oncology research · 2025Review
- Research advances in traditional Chinese medicine formulae and active components targeting lipid metabolism for hepatocellular carcinoma therapy.Frontiers in pharmacology · 2025Review
- Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.Frontiers in oncology · 2025Article
- Targeted lipidomics meets transcriptomics: how cinobufagin rewires fatty acid, sphingolipid, and glycerophospholipid metabolism to combat hepatoma cell growth.Frontiers in pharmacology · 2025Article
- The Metabolomic Footprint of Liver Fibrosis.Cells · 2024Review
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Authors and funding
4 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC), the most prevalent form of liver cancer, is the third leading cause of mortality globally. Patients with HCC have a poor prognosis due to the fact that the emergence of symptoms typically occurs at a late stage of the disease. In addition, conventional biomarkers perform suboptimally when identifying HCC in its early stages, heightening the need for the identification of new and more effective biomarkers. Using metabolomics and lipidomics approaches, this study aims to identify serum biomarkers for identification of HCC in patients with liver cirrhosis (LC). Serum samples from 20 HCC cases and 20 patients with LC were analyzed using ultra-high-performance liquid chromatography-Q Exactive mass spectrometry (UHPLC-Q-Exactive-MS). Metabolites and lipids that are significantly altered between HCC cases and patients with LC were identified. These include organic acids, amino acids, TCA cycle intermediates, fatty acids, bile acids, glycerophospholipids, sphingolipids, and glycerolipids. The most significant variability was observed in the concentrations of bile acids, fatty acids, and glycerophospholipids. In the context of HCC cases, there was a notable increase in the levels of phosphatidylethanolamine and triglycerides, but the levels of fatty acids and phosphatidylcholine exhibited a substantial decrease. In addition, it was observed that all of the identified metabolites exhibited a superior area under the receiver operating characteristic (ROC) curve in comparison to alpha-fetoprotein (AFP). The pathway analysis of these metabolites revealed fatty acid, lipid, and energy metabolism as the most impacted pathways. Putative biomarkers identified in this study will be validated in future studies via targeted quantification.
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