ArticleJAMA network open2021
Identification and Validation of Plasma Metabolomic Signatures in Precancerous Gastric Lesions That Progress to Cancer.
Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.
- 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
- Lipid metabolism associated with efficacy of metronomic capecitabine and camrelizumab in gastrointestinal cancer: an exploratory clinical trial.BMC medicine · 2025Trial
- Review
- Observational
- Assessing the impact of metabolomic markers on gastric cancer risk: a two-sample Mendelian randomization study.Korean journal of family medicine · 2026Article
- Targeted metabolomic profiling of gastric cancer biopsies.The Indian journal of medical research · 2026Article
- Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.Nature communications · 2026Article
- Identification of potential hub biomarkers for gastric high-grade intraepithelial neoplasia early diagnosis: evidence from gene expression profiles and pathological characters.Translational cancer research · 2026Article
- Plasma metabolomic signatures of all and cause-specific cancers: a multi-platform population-based study.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Identification of High-Performing Blood Metabolite Biomarkers of Lung Cancer in a Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Endoscopic and histopathological phenotypes of early gastric neoplasia: toward an integrative host-response framework.Frontiers in oncology · 2026Review
- Exploratory Serum Metabolomics Identifies Metabolic Subgroups Across the Gastric Dysplasia-Early Cancer Spectrum.Journal of Cancer · 2026Article
- Metabolic dysregulation associated with core symptom cluster in lung cancer patients undergoing chemotherapy.British journal of cancer · 2026Article
- Advances in plasma metabolomics detection technology and its clinical applications in lung cancer and other malignancies.Holistic integrative oncology. · 2026Review
- Metabolic signatures for gastric cancer diagnosis and mechanistic insights: a multicenter study.EMBO molecular medicine · 2025Article
- Lipidomic markers of habitual physical activity and risk of type 2 diabetes in American Indians.Scientific reports · 2025Article
- Development and multi-center validation of machine learning models based on targeted metabolomics for rheumatoid arthritis.Journal of translational medicine · 2025Article
- Intestinal metabolomics analysis reveals lysophosphatidylcholine is the key regulatory metabolite in mouse models of necrotizing enterocolitis.Scientific reports · 2025Article
- Untargeted metabolomics analysis of metabolite changes in gastric cancer patients from plateau regions.World journal of gastrointestinal oncology · 2025Article
- Proteomic profiling and scRNA sequencing identify signatures associated withCancer biology & medicine · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Metabolic deregulation plays an important role in gastric cancer (GC) development. To date, no studies have comprehensively explored the metabolomic profiles along the cascade of gastric lesions toward GC. Objective: To draw a metabolic landscape and define metabolomic signatures associated with the progression of gastric lesions and risk of early GC. Design, Setting, and Participants: A 2-stage, population-based cohort study was initiated in 2017 in Linqu County, Shandong Province, China, a high-risk area for GC. Prospective follow-up was conducted during the validation stage (June 20, 2017, to May 27, 2020). A total of 400 individuals were included based on the National Upper Gastrointestinal Cancer Early Detection Program in China. The discovery stage involved 200 individuals with different gastric lesions or GC (high-grade intraepithelial neoplasia or invasive GC). The validation stage prospectively enrolled 152 individuals with gastric lesions who were followed up for 118 to 1063 days and 48 individuals with GC. Exposures: Metabolomic profiles and metabolite signatures were examined based on untargeted plasma metabolomics assay. Main Outcomes and Measures: The risk of GC overall and early GC (high-grade intraepithelial neoplasia), and progression of gastric lesions. Results: Of the 400 participants, 124 of 200 (62.0%) in the discovery set were men; mean (SD) age was 56.8 (7.5) years. In the validation set, 136 of 200 (68.0%) were men; mean (SD) age was 57.5 (8.1) years. Distinct metabolomic profiles were noted for gastric lesions and GC. Six metabolites, including α-linolenic acid, linoleic acid, palmitic acid, arachidonic acid, sn-1 lysophosphatidylcholine (LysoPC)(18:3), and sn-2 LysoPC(20:3) were significantly inversely associated with risk of GC overall and early GC (high-grade intraepithelial neoplasia). Among these metabolites, the first 3 were significantly inversely associated with gastric lesion progression, especially for the progression of intestinal metaplasia (α-linolenic acid: OR, 0.42; 95% CI, 0.18-0.98; linoleic acid: OR, 0.43; 95% CI, 0.19-1.00; and palmitic acid: OR, 0.32; 95% CI, 0.13-0.78). Compared with models including only age, sex, Helicobacter pylori infection, and gastric histopathologic findings, integrating these metabolites significantly improved the performance for predicting the progression of gastric lesions (area under the curve [AUC], 0.86; 95% CI, 0.70-1.00 vs AUC, 0.69; 95% CI, 0.50-0.88; P = .02) and risk of early GC (AUC, 0.83; 95% CI, 0.58-1.00 vs AUC, 0.61; 95% CI, 0.31-0.91; P = .03). Conclusions and Relevance: This study defined metabolite signatures that might serve as meaningful biomarkers for assessing high-risk populations and early diagnosis of GC, possibly advancing targeted GC prevention and control.
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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.