ArticleCancers2020
Metagenomic Analysis of Serum Microbe-Derived Extracellular Vesicles and Diagnostic Models to Differentiate Ovarian Cancer and Benign Ovarian Tumor.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 69 citations in OpenAlex.
- Microbiota in the Tumor Metastatic Cascade: Emerging Evidence Across Invasion, Circulation, and Colonization.International journal of molecular sciences · 2026Review
- Gut microbiota-derived extracellular vesicles: bridging microbial-host crosstalk in metabolic disorders.Cell communication and signaling : CCS · 2026Review
- Vaginal Microbiota and Ovarian Cancer: A New Frontier in Immunomodulation and Diagnosis.Immunology · 2026Review
- 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
- Distinguishing the significance of blood microbes in epithelial ovarian cancer.Gut microbes reports · 2026Article
- Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).International journal of molecular medicine · 2025Review
- Bacterial Extracellular Vesicles in Oncology: Molecular Mechanisms and Future Clinical Applications.Cancers · 2025Review
- 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
- Tumor microbiome: roles in tumor initiation, progression, and therapy.Molecular biomedicine · 2025Review
- Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours.Journal of advanced research · 2025Article
- Therapeutic Modulation of the Microbiome in Oncology: Current Trends and Future Directions.Current pharmaceutical biotechnology · 2025Review
- Comparison of extracellular vesicles carrying bacterial DNA in urine and serum from a Korean population.Frontiers in microbiology · 2025Article
- The emerging role of bacterial extracellular vesicles in human cancers.Journal of extracellular vesicles · 2024Review
- Ovarian Cancer and the Microbiome: Connecting the Dots for Early Diagnosis and Therapeutic Innovations-A Review.Medicina (Kaunas, Lithuania) · 2024Review
- RNA-containing extracellular vesicles in infection.RNA biology · 2024Review
- From microbes to medicine: harnessing the power of the microbiome in esophageal cancer.Frontiers in immunology · 2024Review
- Bacteria-derived extracellular vesicles: endogenous roles, therapeutic potentials and their biomimetics for the treatment and prevention of sepsis.Frontiers in immunology · 2024Review
- Bacteria-derived DNA in serum extracellular vesicles are biomarkers for renal cell carcinoma.Heliyon · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
We aimed to develop a diagnostic model identifying ovarian cancer (OC) from benign ovarian tumors using metagenomic data from serum microbe-derived extracellular vesicles (EVs). We obtained serum samples from 166 patients with pathologically confirmed OC and 76 patients with benign ovarian tumors. For model construction and validation, samples were randomly divided into training and test sets in the ratio 2:1. Isolation of microbial EVs from serum samples of the patients and 16S rDNA amplicon sequencing were carried out. Metagenomic and clinicopathologic data-based OC diagnostic models were constructed in the training set and then validated in the test set. There were significant differences in the metagenomic profiles between the OC and benign ovarian tumor groups; specifically, genus
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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.