ArticleFrontiers in endocrinology2022
Metabolomics study identified bile acids as potential biomarkers for gastric cancer: A case control study.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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
- The Farnesoid X receptor-bile acid axis contributes to immune evasion in gastric cancer and its inhibition enhances efficacy of anti-PD-L1 therapy.Biochemistry and biophysics reports · 2026Article
- Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.Nature communications · 2026Article
- Integration of blood protein-metabolic profiles via machine learning to enable the accurate early detection of non-small cell lung cancer.Respiratory research · 2026Article
- Uncovering the molecular landscape of young-onset diffuse gastric cancer: A relieff-based feature selection analysis on RNA-Seq data.PloS one · 2026Article
- Article
- Integrating urine metabolomic biomarkers and machine learning algorithms to predict preeclampsia.European journal of medical research · 2025Article
- Metabolomic biomarkers discovery across chronic gastritis to gastric cancer progression.Scientific reports · 2025Article
- Review
- Integrated Multiomics Unravels Hedgehog (HH) Signaling Characteristics in Pancreatic Cancer (PC) and DCBLD2 Regulates HH Signaling to Drive PC Progression.Human mutation · 2025Article
- Novel immune-nutritional prognostic ratio predicts long-term survival in stage I-III colorectal cancer.Frontiers in oncology · 2025Article
- DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data.BMC bioinformatics · 2024Article
- Integrated bulk and single-cell profiling characterize sphingolipid metabolism in pancreatic cancer.BMC cancer · 2024Article
- Analysis of metabolic characteristics of metabolic syndrome in elderly patients with gastric cancer by non-targeted metabolomics.World journal of gastrointestinal oncology · 2024Article
- Reprogramming of regulatory T cells in inflammatory tumor microenvironment: can it become immunotherapy turning point?Frontiers in immunology · 2024Review
- Comprehensive analysis of PPP4C's impact on prognosis, immune microenvironment, and immunotherapy response in lung adenocarcinoma using single-cell sequencing and multi-omics.Frontiers in immunology · 2024Article
- Multi-omic validation of the cuproptosis-sphingolipid metabolism network: modulating the immune landscape in osteosarcoma.Frontiers in immunology · 2024Article
- Multi-omics analysis and experimental validation of the value of monocyte-associated features in prostate cancer prognosis and immunotherapy.Frontiers in immunology · 2024Article
- Exploration of gastric carcinogenesis from the relationship between bile acids and intestinal metaplasia and intragastric microorganisms (H. pylori and non-H. pylori).Journal of cancer research and clinical oncology · 2023Review
- CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data.Journal of visualized experiments : JoVE · 2023Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) is a common lethal malignancy worldwide. Gastroscopy is an effective screening technique for decreasing mortality. However, there are still limited useful non-invasive markers for early detection of GC. Bile acids are important molecules for the modulation of energy metabolism. With an in-depth targeted method for accurate quantitation of 80 bile acids (BAs), we aimed to find potential biomarkers for the early screening of GC. A cohort with 280 participants was enrolled, including 113 GC, 22 benign gastric lesions (BGL) and 145 healthy controls. Potential markers were identified using a random forest machine algorithm in the discovery cohort (n=180), then validated in an internal validation cohort (n=78) and a group with 22 BGL. The results represented significant alterations in the circulating BA pool between GC and the controls. BAs also exhibited significant correlations with various clinical traits. Then, we developed a diagnostic panel that comprised six BAs or ratios for GC detection. The panel showed high accuracy for the diagnosis of GC with AUC of 1 (95%CI: 1.00-1.00) and 0.98 (95%CI: 0.93-1.00) in the discovery and validation cohort, respectively. This 6-BAs panel was also able to identify early GC with AUC of 1 (95%CI: 0.999-1.00) and 0.94 (95%CI: 0.83-1.00) in the discovery and validation cohort, respectively. Meanwhile, this panel achieved a good differential diagnosis between GC and BGL and the AUC was 0.873 (95%CI: 0.812-0.934). The alternations of serum bile acids are characteristic metabolic features of GC. Bile acids could be promising biomarkers for the early diagnosis of GC.
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