ArticleWorld journal of gastroenterology2011
Prediction of gastric cancer metastasis through urinary metabolomic investigation using GC/MS.
Article in World journal of gastroenterology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease-gene network.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023Pooled it
- Unveiling the anticancer potential of medicinal plants: metabolomics and analytical tools in phytomedicine.Molecular diversity · 2026Review
- Serum uric acid and its metabolism-a vital factor in the inflammatory transformation of cancer.Journal of advanced research · 2026Review
- Role of Metabolomics in Pathogenesis and Prompt Diagnosis of Gastric Cancer Metastasis-A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- Clinical significance and potential application of cuproptosis-related genes in gastric cancer.World journal of gastrointestinal oncology · 2023Article
- Targeting NAD metabolism regulates extracellular adenosine levels to improve the cytotoxicity of CD8+ effector T cells in the tumor microenvironment of gastric cancer.Journal of cancer research and clinical oncology · 2023Article
- Alterations in the gastric microbiota and metabolites in gastric cancer: An update review.Frontiers in oncology · 2022Review
- Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages.Frontiers in oncology · 2021Article
- Metabolomics of Gastric Cancer.Advances in experimental medicine and biology · 2021Article
- Effect of simulated microgravity on metabolism of HGC-27 gastric cancer cells.Oncology letters · 2020Article
- Clinical, pathophysiologic, and genomic analysis of the outcomes of primary head and neck malignancy after pulmonary metastasectomy.Scientific reports · 2019Article
- Serum metabolomic profiling of human gastric cancer and its relationship with the prognosis.Oncotarget · 2017Article
- Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling.Scientific reports · 2017Article
- Urinary metabolites as noninvasive biomarkers of gastrointestinal diseases: A clinical review.World journal of gastrointestinal oncology · 2016Review
- Glucose metabolism in gastric cancer: The cutting-edge.World journal of gastroenterology · 2016Review
- (1)H-NMR urinary metabolomic profiling for diagnosis of gastric cancer.British journal of cancer · 2016Article
- Determination of urinary 5-hydroxyindoleacetic acid as a metabolomics in gastric cancer.Journal of gastrointestinal cancer · 2015Article
- Potential role of metabolomics in diagnosis and surveillance of gastric cancer.World journal of gastroenterology · 2014Review
- Metabolomic studies of human gastric cancer: review.World journal of gastroenterology · 2014Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic values to predict tumor metastasis.
methodsHuman gastric cancer SGC-7901 cells were implanted into 24 severe combined immune deficiency (SCID) mice, which were randomly divided into metastasis group (n = 8), non-metastasis group (n = 8), and normal group (n = 8). Urinary metabolomic information was obtained by gas chromatography/mass spectrometry (GC/MS).
resultsThere were significant metabolic differences among the three groups (t test, P < 0.05). Ten selected metabolites were different between normal and cancer groups (non-metastasis and metastasis groups), and seven metabolites were also different between non-metastasis and metastasis groups. Two diagnostic models for gastric cancer and metastasis were constructed respectively by the principal component analysis (PCA). These PCA models were confirmed by corresponding receiver operating characteristic analysis (area under the curve = 1.00).
conclusionThe urinary metabolomic profile is different, and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.
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