Evidence map›Paper›PMID 40417381›Full record

ArticleCancer innovation2025

Identification and Evaluation of the Urinary Microbiota Associated With Bladder Cancer.

Nannan Li, Lei Wang, Qin Yang, Fuqiang Li, Zhun Shi, Xiujie Feng, Liwei Zhang, Xiaojian Li, Xin Jin, Shida Zhu and 2 more

Abstract read
In one paragraph

Article in Cancer innovation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. The emerging role of the microbiome in bladder cancer: prognostic implications and treatment response.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Review
  3. Review
  4. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
    Review
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

12 authors.

Nannan LiCollege of Life Sciences University of Chinese Academy of Sciences Beijing China.ORCID 0000-0001-7799-0880
Lei WangDepartment of Urology Peking University Shougang Hospital Beijing China.
Qin YangBGI Shenzhen China.
Fuqiang LiGuangdong Provincial Key Laboratory of Human Disease Genomics Shenzhen Key Laboratory of Genomics, BGI Research Shenzhen China.
Zhun ShiBGI Genomics Harbin China.
Xiujie FengCollege of Life Sciences University of Chinese Academy of Sciences Beijing China.
Liwei ZhangDepartment of Urology Peking University Shougang Hospital Beijing China.
Xiaojian LiDepartment of Urology Peking University Shougang Hospital Beijing China.
Xin JinCollege of Life Sciences University of Chinese Academy of Sciences Beijing China.
Shida ZhuBGI Genomics Harbin China.
Kui WuCollege of Life Sciences University of Chinese Academy of Sciences Beijing China.
Ningchen LiDepartment of Urology Peking University Shougang Hospital Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer is a common malignancy of the genitourinary system. Recent studies have confirmed the existence of microorganisms in urine. This study aimed to characterize changes in the urinary microbiota of Chinese bladder cancer patients and determine differences between patients with muscle-invasive bladder cancer (MIBC) and those with non-muscle-invasive bladder cancer (NMIBC). Methods: Urine samples were collected from 64 patients with bladder cancer and 94 disease-free controls using the clean catch method and sequenced by 16S rRNA gene sequencing. Sequencing reads were filtered by VSEARCH and clustered by UPARSE. Results: Significant associations were found between urinary microbiota and factors such as sex, age, and disease status. After age adjustment, differences in beta diversity were observed between healthy men and women, cancer patients and healthy controls, and NMIBC and MIBC patients. The cancer patients had an increased abundance of 14 bacterial genera, including Conclusions: This significant microbial diversity indicates a potential correlation between urinary microbiota dysbiosis and bladder cancer, with implications for risk stratification and disease management. The identified urinary microbiota may serve as noninvasive markers for bladder cancer, warranting further validation in larger cohorts. This study provides a foundation for further research on the mechanisms of bladder cancer progression.

Indexed as

bladder cancermicrobiotamuscle‐invasive bladder cancernon‐muscle‐invasive bladder cancerurine

Identifiers

PMID40417381
PMCPMC12103652

What OpenQuestion 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 OpenQuestion graph.