Evidence map›Paper›PMID 39337643›Full record

ArticleInternational journal of molecular sciences2024

Dysbiosis in Human Urinary Microbiota May Differentiate Patients with a Bladder Cancer.

Julie A Vendrell, Simon Cabello-Aguilar, Romain Senal, Elise Heckendorn, Steven Henry, Sylvain Godreuil, Jérôme Solassol

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Biology · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Microbiota and urinary tumor immunity: Mechanisms, therapeutic implications, and future perspectives.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Julie A VendrellLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.
Simon Cabello-AguilarLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.ORCID 0000-0002-2904-7430
Romain SenalLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.
Elise HeckendornLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.
Steven HenryLaboratoire de Bactériologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.ORCID 0000-0003-2085-7733
Sylvain GodreuilLaboratoire de Bactériologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.ORCID 0000-0003-3436-0082
Jérôme SolassolLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295 Montpellier, France.ORCID 0000-0002-0293-6158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent interest in noninvasive diagnostic approaches has highlighted the potential of urinary microbiota as a novel biomarker for bladder cancer. This study investigated the urinary microbiota of 30 bladder cancer patients and 32 healthy controls using a specific NGS protocol that sequences eight hypervariable regions of the 16S rRNA gene, providing detailed insights into urinary microbiota composition. The relative abundance of microbial compositions in urine samples from cancer patients and healthy controls was analyzed across various taxonomic levels. No notable differences were highlighted at the phylum, class, order, and family levels. At the genus level, 53% of detected genera were represented in either cancer patients or healthy controls. Microbial diversity was significantly lower in cancer patients. The differential analysis identified five genera,

Indexed as

DysbiosisMicrobiotaRNA, Ribosomal, 16SUrinary Bladder NeoplasmsAdultAgedBacteriaBiomarkers, TumorCase-Control StudiesFemaleHumansMaleMiddle AgedBiomarkers, TumorRNA, Ribosomal, 16Sbladder cancerCutibacteriumNGSRhodanobacterurinary microbiota

Identifiers

PMID39337643
PMCPMC11432408

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.