Evidence map›Paper›PMID 41564594›Full record

ArticleUrologic oncology2026

Does the urinary microbiome reflect the bladder-cancer-associated microbiome? Characterizing the microbiome in urine and cancer tissue in bladder cancer.

Ahmed A Hussein, Yakov Klugman, Jordan Carlson, Tariq A Bhat, Zhe Jing, Eduardo Cortes Gomez, Prashant K Singh, Jianmin Wang, Justine Jacobi, Gary Smith and 2 more

Abstract read
In one paragraph

Article in Urologic oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ahmed A HusseinDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY. Electronic address: Ahmed.Aly@RoswellPark.org.
Yakov KlugmanDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Jordan CarlsonDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Tariq A BhatDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Zhe JingDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Eduardo Cortes GomezDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Prashant K SinghCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Jianmin WangDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Justine JacobiDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Gary SmithDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
David GoodrichDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Khurshid A GuruDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY.

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CANDACE S JOHNSON · 1985 to 2026
$116.6M
YAP1 and RB1 cooperate to regulate lung cancer lineage plasticity and therapeutic resistanceU24CA274159 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI DAVID W. GOODRICH, Alan David Hutson · 2022 to 2026
$8.5M
NOTCH signaling controls transformation to androgen independent neuroendocrine prostate cancerR01CA234162 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI GOODRICH, DAVID W. · 2019 to 2024
$3.0M
Director Genomics Shared ResourceR50CA283805 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Prashant Kumar Singh · 2024 to 2026
$708k
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA234162NCI NIH HHS R50 CA283805NCI NIH HHS U24 CA274159
6 · The paper itself

Abstract

introductionWe sought to characterize the microbiome in bladder cancer tissue samples and to compare it with the microbiome in simultaneously collected urine.

methodsBladder cancer tissue and transurethral urine specimens were collected simultaneously from consecutive patients with bladder cancer at the time of transurethral resection of bladder tumor (TURBT) or radical cystectomy (RC). Samples were analyzed using 16S rRNA sequencing. Urinary and tissue microbiome were compared. Overlaps among bladder cancer tissue and respective urine samples were described. Microbiome was further described in terms of alpha (diversity within a sample measured by Observed, Chao1, Shannon, and Simpson indices), beta diversities (diversity among different samples measured by Bray Curtis Diversity index) and differential abundance of bacteria at the genus level.

resultsTwenty-one patients were included in the study (15 males and 6 females). Transurethral urine samples were available for all but 3 patients, where voided samples were used. Nineteen patients had high grade urothelial carcinoma and 2 had low grade. Looking at the overlapping genera among the urine and tissue samples, only Pseudomonas, Staphylococcus, Acinetobacter, Corynebacterium, Escherichia-Shigella, Anaerococcus, Streptococcus, and Prevotella were present in >75% of both urine and tissue samples. Comparing tissue and urine specimens, there was no significant difference across all alpha diversity indices, while Bray Curtis for beta diversity showed significant dissimilarity (p<0.0001). There was significantly higher abundance of Moraxella, Herbaspirillum, Clostridium sensu stricto 8, Cellulomonas, Pleomorphomonas, Conchiformibius, Prevotella_9, Lachnospiraceae, Marmoricola, Pseudoglutamicbacter, Helicobacter, Jeotgalicoccus, Roseburia, Granulicatella, Lachnoclostridium, Odoribacter, Dermabacter, Akkermansia, Abiotrophia, and Reinbacterium in the urine samples. On the other hand, there was significantly higher abundance of Conexibacter, Cnuella, Mobilitalea, Fulvimonas, Pedomicrobium, Pectobacterium, Weissella, Selenomonas, Tannerella, Aliterella, Xanthobacter, Sporosarcina, Gordonia, Bosea, Pantoea, SM1A02, Vibrio, Pediococcus, Lacticaseibacillus and Blastococcus in the tissue specimens.

conclusionIn this cohort, bladder-cancer tissue associated microbiome exhibited a distinct microbial signature when compared to urine. These results suggest that the urinary microbiome may not provide an accurate representation of the bladder-cancer associated microbiome. Validation in larger, standardized cohorts with contamination control is warranted.

Indexed as

MicrobiotaUrinary BladderUrinary Bladder NeoplasmsAgedAged, 80 and overBacteriaFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16STransurethral Resection of BladderRNA, Ribosomal, 16SBladder CancerMicrobiomeMicrobiotaTumor

Identifiers

PMID41564594
PMCPMC12871875

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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.