ArticleCancers2021
Bacteria-Derived Extracellular Vesicles in Urine as a Novel Biomarker for Gastric Cancer: Integration of Liquid Biopsy and Metagenome Analysis.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gastric cancer detection by non-blood-based liquid biopsies: A systematic review looking into the last decade of research.United European gastroenterology journal · 2023Pooled it
- Gut-derived bacterial extracellular vesicles: the microbial dark matter contributing to host inflammation and cardiometabolic disease.Gut microbes · 2026Review
- Artificial Intelligence in Gastric Cancer: Diagnostic, Prognostic, and Predictive Developments, Evidence Maturity, and Translational Challenges.Cancer reports (Hoboken, N.J.) · 2026Review
- Bacterial extracellular vesicles in the brain: Pathological effects and therapeutic possibilities.Neural regeneration research · 2026Article
- Isolation of bacterial extracellular vesicles from raw samples using a portable microstructured electrochemical device.Drug delivery and translational research · 2026Article
- Bacterial Extracellular Vesicles in Biomedical Research and Clinical Translation.Microbial biotechnology · 2026Review
- Frontiers in bacterial outer membrane vesicles: From basic characteristics to cancer therapy.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- RNA profiles in extracellular vesicles from severe sepsis and meningitis patients reveal pathogen-specific immune signatures in meningococcal versus pneumococcal infections.Frontiers in cellular and infection microbiology · 2026Article
- Bacterial and gut microbiota-derived extracellular vesicles as emerging sources of cancer biomarkers: molecular mechanisms, diagnostic approaches, and therapeutic applications.Frontiers in cellular and infection microbiology · 2026Review
- Review
- Translational horizons in bacterial membrane vesicles: Hotspots and frontiers from basic medicine to clinical application by bibliometric analysis.Human vaccines & immunotherapeutics · 2025Review
- High expression of GRB14 is associated with cancer progression and poor prognosis in gastric cancer.Discover oncology · 2025Article
- Emerging technologies towards extracellular vesicles large-scale production.Bioactive materials · 2025Review
- Extracellular Vesicles Derived From the Feces of Pregnant Women Modulate T Cells Toward a Pregnancy-Supportive Phenotype In Vitro.European journal of immunology · 2025Article
- Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).International journal of molecular medicine · 2025Review
- Distinct microbial signatures of liquid biopsy samples during gastric carcinogenesis and insights from extracellular vesicle analysis.The Korean journal of internal medicine · 2025Article
- The Role of Intestinal Microbiota and Dietary Fibre in the Regulation of Blood Pressure Through the Interaction with Sodium: A Narrative Review.Microorganisms · 2025Review
- Bacterial Extracellular Vesicles in Oncology: Molecular Mechanisms and Future Clinical Applications.Cancers · 2025Review
- Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota.mSystems · 2025Article
- Comparative Changes in Fecal Microbiome After Endoscopic Resection and Surgical Resection in Gastric Cancer Patients.Journal of personalized medicine · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Early detection is crucial for improving the prognosis of gastric cancer, but there are no non-invasive markers for the early diagnosis of gastric cancer in real clinical settings. Recently, bacteria-derived extracellular vesicles (EVs) emerged as new biomarker resources. We aimed to evaluate the microbial composition in gastric cancer using bacteria-derived EVs and to build a diagnostic prediction model for gastric cancer with the metagenome data. Stool, urine, and serum samples were prospectively collected from 453 subjects (gastric cancer, 181; control, 272). EV portions were extracted from the samples for metagenome analysis. Differences in microbial diversity and composition were analyzed with 16S rRNA gene profiling, using the next-generation sequencing method. Biomarkers were selected using logistic regression models based on relative abundances at the genus level. The microbial composition of healthy groups and gastric cancer patient groups was significantly different in all sample types. The compositional differences of various bacteria, based on relative abundances, were identified at the genus level. Among the diagnostic prediction models for gastric cancer, the urine-based model showed the highest performance when compared to that of stool or serum. We suggest that bacteria-derived EVs in urine can be used as novel metagenomic markers for the non-invasive diagnosis of gastric cancer by integrating the liquid biopsy method and metagenome analysis.
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Registered trials
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.