ArticleBioscience reports2021
Tissue-based metabolomics reveals metabolic signatures and major metabolic pathways of gastric cancer with help of transcriptomic data from TCGA.
Article in Bioscience reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06642506 (Oncometabolome and MALDI-MSI in Upper GI Carcinomas - Chemosensitivity in Esophageal Carcinoma.), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Oncometabolome and MALDI-MSI in Upper GI Carcinomas - Chemosensitivity in Esophageal Carcinoma.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Biomarkers used in the diagnosis and prognosis of gastric cancer in young patients: a scientometric analysis.Frontiers in medicine · 2025Pooled 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
- Integrated Elementomics-Genomics-Metabolomics Analysis Reveals Plasma Biomarker Networks and Diagnostic Potential for Gastric Cancer.Metabolites · 2026Article
- Targeted metabolomic profiling of gastric cancer biopsies.The Indian journal of medical research · 2026Article
- Integrative Analysis of Metabolomic and Transcriptomic Data Reveals Metabolic Signatures and Major Metabolic Pathways in Primary AldosteronismEndocrine, metabolic & immune disorders drug targets · 2026Article
- Targeting autophagy and metabolism for ewing sarcoma.Molecular biology reports · 2025Review
- Metabolic Reprogramming of Gastric Cancer Revealed by a Liquid Chromatography-Mass Spectrometry-Based Metabolomics Study.Metabolites · 2025Article
- A Gene Signature Developed Based on Reactive Oxygen Species to Predict the Metabolism, Immunity, Mutational Status, and Prognostic Survival for Glioblastoma.Current medicinal chemistry · 2025Article
- Alterations in Adipocytokine Signaling Pathway and Pyroptosis in Neonatal Hypoxic-ischemic Encephalopathy.Current medicinal chemistry · 2025Article
- Metabolomics uncovers the diabetes metabolic network: from pathophysiological mechanisms to clinical applications.Frontiers in endocrinology · 2025Review
- Single-cell transcriptomics reveals over-activated reactive oxygen species pathway in hepatocytes in the development of hepatocellular carcinoma.Scientific reports · 2024Article
- Analysis of metabolic characteristics of metabolic syndrome in elderly patients with gastric cancer by non-targeted metabolomics.World journal of gastrointestinal oncology · 2024Article
- Screening and Bioinformatics Analysis of Crucial Gene of Heart Failure and Atrial Fibrillation Based on GEO Database.Medicina (Kaunas, Lithuania) · 2022Article
- Study on potential markers for diagnosis of renal cell carcinoma by serum untargeted metabolomics based on UPLC-MS/MS.Frontiers in physiology · 2022Article
- Integration of transcriptomics, proteomics, and metabolomics data to reveal HER2-associated metabolic heterogeneity in gastric cancer with response to immunotherapy and neoadjuvant chemotherapy.Frontiers in immunology · 2022Article
- Molecular Biology in Treatment Decision Processes-Neuro-Oncology Edition.International journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of the present study was to screen differential metabolites of gastric cancer (GC) and identify the key metabolic pathways of GC.
methodsGC (n=28) and matched paracancerous (PC) tissues were collected, and LC-MS/MS analysis were performed to detect metabolites of GC and PC tissues. Metabolite pathways based on differential metabolites were enriched by MetaboAnalyst, and genes related to metabolite pathways were identified using the KEGGREST function of the R software package. Transcriptomics data from The Cancer Genome Atlas (TCGA) was analyzed to obtain differentially expressed genes (DEGs) of GC. Overlapping genes were acquired from metabonimics and transcriptomics data. Pathway enrichment analysis was performed using String. The protein expression of genes was validated by the Human Protein Atlas (HPA) database.
resultsA total of 325 key metabolites were identified, 111 of which were differentially expressed between the GC and PC groups. Seven metabolite pathways enriched by MetaboAnalyst were chosen, and 361 genes were identified by KEGGREST. A total of 2831 DEGs were identified from the TCGA cohort. Of these, 1317 were down-regulated, and 1636 were up-regulated. Twenty-two overlapping genes were identified between genes related to metabolism and DEGs. Glycerophospholipid (GPL) metabolism is likely associated with GC, of which AGPAT9 and ETNPPL showed lower expressed in GC tissues.
conclusionsWe investigated the tissue-based metabolomics profile of GC, and several differential metabolites were identified. GPL metabolism may affect on progression of GC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.