Evidence map›Paper›PMID 39456941›Full record

ArticleInternational journal of molecular sciences2024

Differential Urinary Microbiome and Its Metabolic Footprint in Bladder Cancer Patients Following BCG Treatment.

Kyungchan Min, Chuang-Ming Zheng, Sujeong Kim, Hyun Kim, Minji Lee, Xuan-Mei Piao, Young Joon Byun, Yunjae Kim, Yanghyun Joo, Beomki Cho and 5 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

15 authors.

Kyungchan MinDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID 0000-0001-5238-6265
Chuang-Ming ZhengDepartment of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.ORCID 0000-0003-1925-0571
Sujeong KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Hyun KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID 0000-0001-5026-1178
Minji LeeDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Xuan-Mei PiaoDepartment of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.ORCID 0000-0001-6847-7743
Young Joon ByunDepartment of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.
Yunjae KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Yanghyun JooDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Beomki ChoDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Seongmin MoonDepartment of Urology, Chungbuk National University Hospital, Cheongju 28644, Republic of Korea.
Won Tae KimDepartment of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.
Ho Won KangDepartment of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.
Hansoo ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Seok Joong YunDepartment of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.ORCID 0000-0001-7737-4746

Funding

Korea Health Industry Development Institute Grant of the MD-PhD/Medical Scientist Training Program through the Korea Health Industry Development Institute (KHIDI),Ministry of Education RS-2023-00245919, 2020R1I1A3062508, 2021R1I1A1A01050891, 2021RIS-001, 5199990614277
6 · The paper itself

Abstract

Recent studies have identified a urinary microbiome, dispelling the myth of urine sterility. Intravesical bacillus Calmette-Guérin (BCG) therapy is the preferred treatment for intermediate to high-risk non-muscle-invasive bladder cancer (BCa), although resistance occurs in 30-50% of cases. Progression to muscle-invasive cancer necessitates radical cystectomy. Our research uses 16S rRNA gene sequencing to investigate how the urinary microbiome influences BCa and its response to BCG therapy. Urine samples were collected via urethral catheterization from patients with benign conditions and non-muscle-invasive BCa, all of whom underwent BCG therapy. We utilized 16S rRNA gene sequencing to analyze the bacterial profiles and metabolic pathways in these samples. These pathways were validated using a real metabolite dataset, and we developed predictive models for malignancy and BCG response. In this study, 87 patients participated, including 29 with benign diseases and 58 with BCa. We noted distinct bacterial compositions between benign and malignant samples, indicating the potential role of the toluene degradation pathway in mitigating BCa development. Responders to BCG had differing microbial compositions and higher quinolone synthesis than non-responders, with two

Indexed as

BCG VaccineMicrobiotaRNA, Ribosomal, 16SUrinary Bladder NeoplasmsAgedBacteriaFemaleHumansMaleMiddle AgedBCG VaccineRNA, Ribosomal, 16S16S rRNA gene sequencingBifidobacteriumBladder cancerIntravesical BCG treatmentQuinoloneUrinary microbiome

Identifiers

PMID39456941
PMCPMC11508893

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.