Evidence map›Paper›PMID 38747616›Full record

ArticleCancer research communications2024

Role of Gut Microbiome in Neoadjuvant Chemotherapy Response in Urothelial Carcinoma: A Multi-institutional Prospective Cohort Evaluation.

Laura Bukavina, Rashida Ginwala, Mohamed Eltoukhi, Mohit Sindhani, Megan Prunty, Daniel M Geynisman, Pooja Ghatalia, Henkel Valentine, Adam Calaway, Andres F Correa and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Clinical potential of the gut microbiome in oncology: a scoping review of treatment response, toxicity and biomarker development.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Is the Urinary and Gut Microbiome Associated With Bladder Cancer?Clinical Medicine Insights. Oncology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Laura BukavinaFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0001-7129-6230
Rashida GinwalaFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0009-0009-1283-3433
Mohamed EltoukhiCase Western Reserve School of Medicine, Cleveland, Ohio.ORCID 0009-0002-1578-0890
Mohit SindhaniIndia Institute of Technology, Delhi, India.ORCID 0009-0007-5950-2784
Megan PruntyUniversity Hospitals Cleveland Medical Center, Cleveland, Ohio.ORCID 0000-0002-9150-6706
Daniel M GeynismanFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0002-1423-5295
Pooja GhataliaFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0001-6229-7581
Henkel ValentineFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0001-6869-3497
Adam CalawayUniversity Hospitals Cleveland Medical Center, Cleveland, Ohio.ORCID 0000-0001-6716-3806
Andres F CorreaFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0001-8506-7324
Jason R BrownUniversity Hospitals Cleveland Medical Center, Cleveland, Ohio.ORCID 0000-0001-6225-7555
Kirtishri MishraCase Western Reserve School of Medicine, Cleveland, Ohio.ORCID 0000-0001-6468-7858
Elizabeth R PlimackFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0002-7618-0744
Alexander KutikovFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0003-1525-6247
Mahmoud GhannoumCase Western Reserve School of Medicine, Cleveland, Ohio.ORCID 0000-0002-8833-7323
Mohammed ElshaerCase Western Reserve School of Medicine, Cleveland, Ohio.ORCID 0000-0002-0179-2869
Mauricio RetuertoCase Western Reserve School of Medicine, Cleveland, Ohio.ORCID 0009-0004-0612-6402
Lee PonskyCase Western Reserve School of Medicine, Cleveland, Ohio.ORCID 0000-0002-1252-3285
Robert G UzzoFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0003-2398-6530
Philip H AbboshFox Chase Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0003-3611-9532

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Amar Desai · 1987 to 2026
$142.3M
WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Dietmar J Kappes · 1985 to 2026
$138.8M
Polymicrobial interactions in Crohn's DiseaseR01AI145289 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI GHANNOUM, MAHMOUD A · 2019 to 2023
$3.1M
Regulation of polymerase switching in translesion synthesisR01CA181178 · NCI · MAYO CLINIC ROCHESTER · PI MACHIDA, YUICHI · 2014 to 2018
$1.6M
Case Comprehensive Cancer Center, Case Western Reserve University (Case CCC) P30CA043703Foundation for the National Institutes of Health (FNIH) R01AI145289- 01A1NCI NIH HHS P30 CA006927NCI NIH HHS P30 CA043703NCI NIH HHS R01 CA181178NIAID NIH HHS R01 AI145289
6 · The paper itself

Abstract

Neoadjuvant chemotherapy (NAC) is linked with clinical advantages in urothelial carcinoma for patients with muscle-invasive bladder cancer (MIBC). Despite comprehensive research into the influence of tumor mutation expression profiles and clinicopathologic factors on chemotherapy response, the role of the gut microbiome (GM) in bladder cancer chemotherapy response remains poorly understood. This study examines the variance in the GM of patients with bladder cancer compared with healthy adults, and investigates GM compositional differences between patients who respond to chemotherapy versus those who exhibit residual disease.Our study reveals distinct clustering, effectively separating the bladder cancer and healthy cohorts. However, no significant differences were observed between chemotherapy responders and nonresponders within community subgroups. Machine learning models based on responder status outperformed clinical variables in predicting complete response (AUC 0.88 vs. AUC 0.50), although no single microbial species emerged as a fully reliable biomarker.The evaluation of short chain fatty acid (SCFA) concentration in blood and stool revealed no correlation with responder status. Still, SCFA analysis showed a higher abundance of Akkermansia (rs = 0.51, P = 0.017) and Clostridia (rs = 0.52, P = 0.018), which correlated with increased levels of detectable fecal isobutyric acid. Higher levels of fecal Lactobacillus (rs = 0.49, P = 0.02) and Enterobacteriaceae (rs = 0.52, P < 0.03) correlated with increased fecal propionic acid.In conclusion, our study constitutes the first large-scale, multicenter assessment of GM composition, suggesting the potential for a complex microbial signature to predict patients more likely to respond to NAC based on multiple taxa. SIGNIFICANCE: Our study highlights results that link the composition of the GM to the efficacy of NAC in MIBC. We discovered that patients with higher levels of Bacteroides experienced a worse response to NAC. This microbial signature shows promise as a superior predictor of treatment response over traditional clinical variables. Although preliminary, our findings advocate for larger, more detailed studies to validate these associations.

Indexed as

Gastrointestinal MicrobiomeNeoadjuvant TherapyUrinary Bladder NeoplasmsAgedCarcinoma, Transitional CellFecesFemaleHumansMachine LearningMaleMiddle AgedProspective Studies

Identifiers

PMID38747616
PMCPMC11181990

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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.