ArticleHeliyon2023
Bacteria-derived DNA in serum extracellular vesicles are biomarkers for renal cell carcinoma.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 14 citations in OpenAlex.
- Small Vesicles Big Impact: Exosomes in the Landscape of Women's Health.Pharmaceutical research · 2026Review
- Variation in antiviral immunity and inflammation pathways precedes HIV-1 infection in a high-risk African cohort.The Journal of clinical investigation · 2026Article
- Research advances in extracellular vesicles for diagnosis and treatment of genitourinary cancers.Frontiers in cell and developmental biology · 2026Review
- 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
- Distinguishing the significance of blood microbes in epithelial ovarian cancer.Gut microbes reports · 2026Article
- Bacterial extracellular vesicles as central mediators of microbiota-host communication.Frontiers in microbiology · 2026Review
- Review
- Bacteria-derived DNA in serum extracellular vesicles as a biomarker for gastric cancer.Cancer immunology, immunotherapy : CII · 2025Article
- Bacterial Extracellular Vesicles in Oncology: Molecular Mechanisms and Future Clinical Applications.Cancers · 2025Review
- Review
- Bacterial information in serum extracellular vesicles reflects the inflammation of adherent perinephric fat.Cancer science · 2025Article
- How Advanced Are Extracellular Vesicles in Renal Cell Carcinoma? For Diagnostic and Therapeutic Frontiers.International journal of nanomedicine · 2025Review
- Cutibacterium acnes-derived extracellular vesicles promote tumor growth in renal cell carcinoma.Cancer science · 2024Article
- Reprogramming of tumor-associated macrophages by metabolites generated from tumor microenvironment.Animal cells and systems · 2024Review
- Microbial Biomarkers in Liquid Biopsy for Cancer: An Overview and Future Directions.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This is the first study to determine the clinical importance of circulating bacterial DNA in patients with renal cell carcinoma (RCC). We performed 16S rRNA metagenomic analysis of serum extracellular vesicles (EVs) from 88 patients with RCC and 10 healthy donors and identified three abundant bacterial DNA: Bacteroidia, TM7-1, and Sphingomonadales. Combining characteristic bacterial DNA information (three bacteria-derived DNA), a BTS index was created to diagnose patients with RCC. The BTS index showed high sensitivity not only in the discovery cohort, but also in the validation cohort, suggesting that it was useful as a screening test. Furthermore, in nivolumab treatment of RCC, patients with higher levels of Bacteroidia DNA in serum EVs had significantly poorer progression-free and overall survival than did those with lower levels. This study showed that circulating Bacteria-derived DNA could be used as a biomarker for RCC.
Identifiers
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.