ArticleBritish journal of cancer2016
(1)H-NMR urinary metabolomic profiling for diagnosis of gastric cancer.
Article in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.
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Who cites it
63 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Metabolomic profiling of upper GI malignancies in blood and tissue: a systematic review and meta-analysis.Journal of cancer research and clinical oncology · 2024Pooled it
- Gastric cancer detection by non-blood-based liquid biopsies: A systematic review looking into the last decade of research.United European gastroenterology journal · 2023Pooled it
- A systematic review of metabolomic profiling of gastric cancer and esophageal cancer.Cancer biology & medicine · 2020Pooled it
- Machine Learning-Based Profiling of Urinary Volatile Organic Compounds Reveals Distinct Diagnostic Signatures for Gastric Cancer.Cancer medicine · 2026Article
- Lipid metabolism-related genes in gastric cancer: Exploring oncogenic pathways.World journal of gastrointestinal oncology · 2025Review
- Blood metabolites and gastric cancer risk: A bidirectional 2-sample Mendelian randomization study.Medicine · 2025Article
- Unveiling gastric precancerous stages: metabolomic insights for early detection and intervention.BMC gastroenterology · 2025Article
- Investigation of pH-dependentInternational journal of obesity (2005) · 2025Article
- Review
- A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics.Metabolites · 2025Article
- Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning.Scientific reports · 2025Article
- Integrated gene-metabolite association network analysis reveals key metabolic pathways in gastric adenocarcinoma.Heliyon · 2024Article
- Development of a urine-based metabolomics approach for multi-cancer screening and tumor origin prediction.Frontiers in immunology · 2024Article
- Landscape of Innovative Methods for Early Diagnosis of Gastric Cancer: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- Urinary Biomarkers and Point-of-Care Urinalysis Devices for Early Diagnosis and Management of Disease: A Review.Biomedicines · 2023Review
- Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based onNutrition & metabolism · 2023Article
- Diagnostic Biomarkers for Gestational Diabetes Mellitus Using Spectroscopy Techniques: A Systematic Review.Diseases (Basel, Switzerland) · 2023Review
- Urinary Biomarkers for the Noninvasive Detection of Gastric Cancer.Journal of gastric cancer · 2022Review
- Serum metabolomic profiling for patients with adenocarcinoma of the esophagogastric junction.Metabolomics : Official journal of the Metabolomic Society · 2022Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
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Abstract
backgroundMetabolomics has shown promise in gastric cancer (GC) detection. This research sought to identify whether GC has a unique urinary metabolomic profile compared with benign gastric disease (BN) and healthy (HE) patients.
methodsUrine from 43 GC, 40 BN, and 40 matched HE patients was analysed using (1)H nuclear magnetic resonance ((1)H-NMR) spectroscopy, generating 77 reproducible metabolites (QC-RSD <25%). Univariate and multivariate (MVA) statistics were employed. A parsimonious biomarker profile of GC vs HE was investigated using LASSO regularised logistic regression (LASSO-LR). Model performance was assessed using Receiver Operating Characteristic (ROC) curves.
resultsGC displayed a clear discriminatory biomarker profile; the BN profile overlapped with GC and HE. LASSO-LR identified three discriminatory metabolites: 2-hydroxyisobutyrate, 3-indoxylsulfate, and alanine, which produced a discriminatory model with an area under the ROC of 0.95.
conclusionsGC patients have a distinct urinary metabolite profile. This study shows clinical potential for metabolic profiling for early GC diagnosis.
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