Evidence map›Paper›PMID 40129930›Full record

ArticleFrontiers in cellular and infection microbiology2025

Urinary microbiota changes among NMIBC patients during BCG therapy: comparing BCG responders and non-responders.

Toni Boban, Blanka Milić Roje, Dora Knezović, Ana Jerončić, Hrvoje Šošić, Marijan Šitum, Janoš Terzić

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Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

7 authors.

Toni BobanDepartment of Urology, University Hospital of Split, Split, Croatia.
Blanka Milić RojeLaboratory for Cancer Research, University of Split School of Medicine, Split, Croatia.
Dora KnezovićLaboratory for Cancer Research, University of Split School of Medicine, Split, Croatia.
Ana JerončićDepartment of Research in Biomedicine and Health, University of Split School of Medicine, Split, Croatia.
Hrvoje ŠošićDepartment of Urology, University Hospital of Split, Split, Croatia.
Marijan ŠitumDepartment of Urology, University Hospital of Split, Split, Croatia.
Janoš TerzićLaboratory for Cancer Research, University of Split School of Medicine, Split, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gold standard for treating high-risk non-muscle-invasive bladder cancer involves the transurethral removal of cancerous tissue followed by BCG immunotherapy. So far, there is no reliable biomarker for predicting BCG efficacy and identifying patients who will or will not respond to BCG treatment. Emerging evidence suggests that urinary microbiota may play a crucial role in BCG efficacy. This study aimed to explore (i) changes in urinary microbiota during the six induction cycles of BCG and (ii) its potential predictive role in determining the outcome of BCG treatment. To this end, catheterized urine samples were collected before each of the six BCG doses and bacterial composition was analyzed using 16S rRNA gene sequencing. Patient inclusion criteria were male gender, no previous history of urothelial cancer, no other malignancies, no active infection, and no antibiotic usage for at least 20 days before the first BCG dose. We observed a significant decrease in biodiversity, measured by the Shannon Index, during the first week of therapy in 10 out of 12 patients (p=0.021). Additionally, differences in microbiota composition before the start of BCG therapy were noted between responders and non-responders to BCG therapy. Non-responders exhibited a 12 times higher abundance of genus

Indexed as

BacteriaBCG VaccineMicrobiotaUrinary Bladder NeoplasmsUrineAgedAged, 80 and overBiodiversityDNA, BacterialFemaleHumansMaleMiddle AgedNon-Muscle Invasive Bladder NeoplasmsRNA, Ribosomal, 16STreatment OutcomeBCG VaccineDNA, BacterialRNA, Ribosomal, 16SBCGimmunotherapynon-muscle invasive bladder cancerresponse to therapyurinary microbiome

Identifiers

PMID40129930
PMCPMC11931020

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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.