ArticleBMC cancer2016
Tissue metabolic profiling of human gastric cancer assessed by (1)H NMR.
Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.
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Who cites it
43 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
- Research progress of metabolomics in cervical cancer.European journal of medical research · 2023Pooled it
- A systematic review of metabolomic profiling of gastric cancer and esophageal cancer.Cancer biology & medicine · 2020Pooled it
- Glycolysis‑driven immunosuppression in gastric cancer: Metabolic crosstalk between tumor cells and the immune microenvironment (Review).International journal of oncology · 2026Review
- Advances in the Study of Metabolic Reprogramming in Gastric Cancer.Cancer medicine · 2025Review
- Metabolic Reprogramming of Gastric Cancer Revealed by a Liquid Chromatography-Mass Spectrometry-Based Metabolomics Study.Metabolites · 2025Article
- Application and progress of nomograms in gastric cancer.Frontiers in medicine · 2025Review
- NMFGOT: a multi-view learning framework for the microbiome and metabolome integrative analysis with optimal transport plan.NPJ biofilms and microbiomes · 2024Article
- Integrated gene-metabolite association network analysis reveals key metabolic pathways in gastric adenocarcinoma.Heliyon · 2024Article
- Uracil as a biomarker for spatial pyrimidine metabolism in the development of gingivobuccal oral squamous cell carcinoma.Scientific reports · 2024Article
- Metabolic Profiling of Aromatic Compounds.Metabolites · 2024Article
- Oral microbiota and gastric cancer: recent highlights and knowledge gaps.Journal of oral microbiology · 2024Review
- Multi-omics Combined with Machine Learning Facilitating the Diagnosis of Gastric Cancer.Current medicinal chemistry · 2024Review
- Article
- Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based onNutrition & metabolism · 2023Article
- Tumour catabolism independent of malnutrition and inflammation in upper GI cancer patients revealed by longitudinal metabolomics.Journal of cachexia, sarcopenia and muscle · 2023Article
- Sunitinib versus Pazopanib Dilemma in Renal Cell Carcinoma: New Insights into the In Vitro Metabolic Impact, Efficacy, and Safety.International journal of molecular sciences · 2022Article
- Serum metabolomic profiling for patients with adenocarcinoma of the esophagogastric junction.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Different Metabolites of the Gastric Mucosa between Patients with CurrentBiomedicines · 2022Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer is the fourth most common cancer and the second most deadly cancer worldwide. Study on molecular mechanisms of carcinogenesis will play a significant role in diagnosing and treating gastric cancer. Metabolic profiling may offer the opportunity to understand the molecular mechanism of carcinogenesis and help to identify the potential biomarkers for the early diagnosis of gastric cancer.
methodsIn this study, we reported the metabolic profiling of tissue samples on a large cohort of human gastric cancer subjects (n = 125) and normal controls (n = 54) based on (1)H nuclear magnetic resonance ((1)H NMR) together with multivariate statistical analyses (PCA, PLS-DA, OPLS-DA and ROC curve).
resultsThe OPLS-DA model showed adequate discrimination between cancer tissues and normal controls, and meanwhile, the model excellently discriminated the stage-related of tissue samples (stage I, 30; stage II, 46; stage III, 37; stage IV, 12) and normal controls. A total of 48 endogenous distinguishing metabolites (VIP > 1 and p < 0.05) were identified, 13 of which were changed with the progression of gastric cancer. These modified metabolites revealed disturbance of glycolysis, glutaminolysis, TCA, amino acids and choline metabolism, which were correlated with the occurrence and development of human gastric cancer. The receiver operating characteristic diagnostic AUC of OPLS-DA model between cancer tissues and normal controls was 0.945. And the ROC curves among different stages cancer subjects and normal controls were gradually improved, the corresponding AUC values were 0.952, 0.994, 0.998 and 0.999, demonstrating the robust diagnostic power of this metabolic profiling approach.
conclusionAs far as we know, the present study firstly identified the differential metabolites in various stages of gastric cancer tissues. And the AUC values were relatively high. So these results suggest that the metabolic profiling of gastric cancer tissues has great potential in detecting this disease and helping to understand its underlying metabolic mechanisms.
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