ArticleBiology2021
Microbiome Markers of Pancreatic Cancer Based on Bacteria-Derived Extracellular Vesicles Acquired from Blood Samples: A Retrospective Propensity Score Matching Analysis.
Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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.
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Who cites it
34 citing papers in PubMed, 45 citations in OpenAlex.
- Microbiota in the Tumor Metastatic Cascade: Emerging Evidence Across Invasion, Circulation, and Colonization.International journal of molecular sciences · 2026Review
- Can Complex 3D Models Effectively Replace 2D and Animal Models to Investigate the Microbe-Tumor-Immune Axis in Pancreatic Cancer Studies?Nutrients · 2026Review
- Microbiome and cancer: mechanistic insights, diagnostic potential, and therapeutic strategies.Frontiers in cell and developmental biology · 2026Review
- Emerging technologies towards extracellular vesicles large-scale production.Bioactive materials · 2025Review
- Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).International journal of molecular medicine · 2025Review
- Microbiota as a state-of-the-art approach in precision medicine for pancreatic cancer management: A comprehensive systematic review.iScience · 2025Article
- The Significance of Circulating Microbial Signatures in the Prognosis and Immune Microenvironment of Patients with Cervical Cancer.International journal of molecular sciences · 2025Article
- Bacterial extracellular vesicles for gut microbiome-host communication and drug development.Acta pharmaceutica Sinica. B · 2025Review
- Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles.Scientific reports · 2025Article
- Could the Microbial Profiling of Normal Pancreatic Tissue from Healthy Organ Donors Contribute to Understanding the Intratumoral Microbiota Signature in Pancreatic Ductal Adenocarcinoma?Microorganisms · 2025Article
- Distinctive circulating microbial metagenomic signatures in the plasma of patients with lung cancer and their potential value as molecular biomarkers.Journal of translational medicine · 2025Article
- Oral microbiome as a diagnostic biomarker for pancreatic cancer: a systematic review and meta-analysis of diagnostic accuracy.Journal of oral microbiology · 2025Review
- The emerging role of bacterial extracellular vesicles in human cancers.Journal of extracellular vesicles · 2024Review
- Applications of Urinary Extracellular Vesicles in the Diagnosis and Active Surveillance of Prostate Cancer.Cancers · 2024Review
- Urinary microbiome-based metagenomic signature for the noninvasive diagnosis of hepatocellular carcinoma.British journal of cancer · 2024Article
- Causal effect of gut microbiota on pancreatic cancer: A Mendelian randomization and colocalization study.Journal of cellular and molecular medicine · 2024Article
- Bibliometric analysis of pancreatic diseases and gut microbiota research from 2002 to 2022.Heliyon · 2024Article
- Microbiome as a biomarker and therapeutic target in pancreatic cancer.BMC microbiology · 2024Review
- All roads lead to Rome: the plasticity of gut microbiome drives the extensive adaptation of the Yarkand toad-headed agama (Frontiers in microbiology · 2024Article
- Paraprobiotic derived fromFrontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
Novel biomarkers for early diagnosis of pancreatic cancer (PC) are necessary to improve prognosis. We aimed to discover candidate biomarkers by identifying compositional differences of microbiome between patients with PC (n = 38) and healthy controls (n = 52), using microbial extracellular vesicles (EVs) acquired from blood samples. Composition analysis was performed using 16S rRNA gene analysis and bacteria-derived EVs. Statistically significant differences in microbial compositions were used to construct PC prediction models after propensity score matching analysis to reduce other possible biases. Between-group differences in microbial compositions were identified at the phylum and genus levels. At the phylum level, three species (
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What OpenQuestion holds
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.