Evidence mapPaperPMID 41883995Full record

ArticleCancer management and research2026

Adaptation of MALDI-TOF MS Technique for Tracking Changes in the Urinary Microbiome During and After Radiotherapy for Prostate Cancer.

Michał Złoch, Ewelina Sibińska, Fernanda Monedeiro, Wioletta Miśta, Adrian Arendowski, Piotr Fijałkowski, Monika Pietrowska, Jolanta Mrochem-Kwarciak, Anna Jędrzejewska, Ewa Telka and 4 more

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Article in Cancer management and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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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

14 authors.

Michał ZłochCentre for Modern Interdisciplinary Technologies, Institute of Advanced Studies, Nicolaus Copernicus University in Torun, Torun, Poland.ORCID 0000-0001-6169-3099
Ewelina SibińskaCentre for Modern Interdisciplinary Technologies, Institute of Advanced Studies, Nicolaus Copernicus University in Torun, Torun, Poland.
Fernanda MonedeiroCentre for Modern Interdisciplinary Technologies, Institute of Advanced Studies, Nicolaus Copernicus University in Torun, Torun, Poland.
Wioletta MiśtaRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Adrian ArendowskiCentre for Modern Interdisciplinary Technologies, Institute of Advanced Studies, Nicolaus Copernicus University in Torun, Torun, Poland.ORCID 0000-0002-8496-6800
Piotr FijałkowskiCentre for Modern Interdisciplinary Technologies, Institute of Advanced Studies, Nicolaus Copernicus University in Torun, Torun, Poland.ORCID 0009-0006-8166-7617
Monika PietrowskaClinical Proteomics Laboratory, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Jolanta Mrochem-KwarciakAnalytics and Clinical Biochemistry Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Anna JędrzejewskaAnalytics and Clinical Biochemistry Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.ORCID 0009-0004-9761-6289
Ewa TelkaClinical Proteomics Laboratory, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Kinga KarońRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.ORCID 0009-0005-9217-5119
Małgorzata RabsztynRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Paweł PomastowskiCentre for Modern Interdisciplinary Technologies, Institute of Advanced Studies, Nicolaus Copernicus University in Torun, Torun, Poland.
Dorota GabryśRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The urinary microbiome may influence the development of radiation-induced complications in prostate cancer. However, its dynamics during and after radiotherapy (RT) remain unclear. This study aimed to use matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to characterize and monitor urinary microbiome changes during RT for prostate cancer. Patients and Methods: Eighty-eight patients with prostate cancer who underwent RT were included. Midstream urine and blood samples were collected at six time points: before gold fiducial implantation (t1), at the start (t2) and end of RT (t3), and at 1, 4, and 7 months post-RT (t4-t6). Microorganisms were cultured under diverse conditions and identified by MALDI-TOF MS. Statistical analyses were used to assess the associations between microbial profiles, RT stages, and biochemical parameters in the urine and blood. Results: A total of 1773 microbial isolates were identified in 89% of urine samples, with 79% showing a polymicrobial composition. The microbiota was dominated by Conclusion: RT triggers a dynamic response in the urinary microbiome, with an initial decline in diversity followed by progressive recolonization. Glucose levels in urine and blood significantly affect microbial composition, suggesting that metabolic factors modulate RT-related microbiome shifts. These findings highlight the interplay between RT, host metabolism, and urinary microbiota, supporting the potential value of glucose monitoring to maintain microbial balance after RT.

Indexed as

MALDImicrobiomeprostate cancerradiotherapyurinary microbiotaurine

Identifiers

PMID41883995
PMCPMC13012307

What Socratic holds

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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 Socratic graph.