Evidence map›Paper›PMID 40087655›Full record

ArticleBMC cancer2025

The role of urinary microbiota in primary and recurrent bladder cancer: insights from a propensity score matching study.

Zhaoyang Sheng, Jinshan Xu, Maoyu Wang, Xi Xu, Jinpeng Zhu, Shuxiong Zeng, Chuanliang Xu, Zhensheng Zhang

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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
  5. Review
  6. Article
  7. Review
  8. Article
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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

8 authors.

Zhaoyang Sheng *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Jinshan Xu *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Maoyu Wang *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Xi XuDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Jinpeng ZhuDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Shuxiong ZengDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. zengshuxiong@126.com.
Chuanliang XuDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. chuanliang_xu@126.comor.
Zhensheng ZhangDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. 13761178177@163.com.

Funding

Basic Research Project of Naval Medical University 2024MS013National Natural Science Foundation of China 82172871National Natural Science Foundation of China 82272950Shanghai Municipal Health Commission 2022YQ010
6 · The paper itself

Abstract

backgroundBladder cancer (BCa) is a common urinary malignancy with high recurrence rates in non-muscle invasive bladder cancer (NMIBC), posing significant clinical challenges. Emerging evidence links urinary microbiota to cancer progression; however, their role in BCa recurrence remains unclear. This study aimed to explore urinary microbiota differences between primary and recurrent BCa to identify potential microbiological markers and mechanisms associated with recurrence.

methodsUrine samples were collected from 170 BCa patients, including 125 with primary Bca(BCa_P) and 45 with recurrent BCa (BCa_R). All samples underwent 16 S rRNA gene sequencing, and clinical data were collected, including age, sex, body mass index (BMI), smoking history, pathological grade, and other biological characteristics. Propensity score matching (1:1 ratio, caliper = 0.02) minimized baseline differences, resulting in 39 matched pairs. Microbial diversity was analyzed using α and β diversity indices. Differential taxa were identified with Linear Discriminant Analysis Effect Size (LEfSe), and functional pathways were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt).

resultsAlpha diversity was significantly higher in BCa_P than BCa_R, particularly in Chao1 indices. β diversity revealed distinct microbial structures (ADONIS, P = 0.004, R² = 0.025). At the phylum level, both BCa_P and BCa_R were dominated by Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with Firmicutes significantly higher and Bacteroidetes lower in BCa_R. At the genus level, BCa_P was enriched in Sphingomonas, Corynebacterium, Capnocytophaga, Massilia, and Aquabacterium, while BCa_R showed higher levels of Aeromonas, Cupriavidus, and Bradyrhizobium. Functional predictions revealed glucose metabolism and oxidative stress pathways enriched in BCa_R, while pollutant degradation and TCA cycle pathways were prominent in BCa_P.

conclusionThese findings reveal significant differences in urinary microbiota compositions and functional profiles between primary and recurrent BCa patients, with recurrent cases exhibiting reduced microbial diversity and enrichment of potentially pathogenic communities, highlighting their potential roles in tumor progression and recurrence.

trial registrationRegistered with the Chinese Clinical Trial Registry (ChiCTR2300070969) on April 27, 2023.

Indexed as

MicrobiotaNeoplasm Recurrence, LocalUrinary Bladder NeoplasmsAgedBacteriaFemaleHumansMaleMiddle AgedPhylogenyPropensity ScoreRNA, Ribosomal, 16SRNA, Ribosomal, 16S16sRNABCaRecurrenceUrinary Microbiome

Identifiers

PMID40087655
PMCPMC11907829

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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.