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

Author:

Bukavina Laura123ORCID,Ginwala Rashida1ORCID,Eltoukhi Mohamed3ORCID,Sindhani Mohit4ORCID,Prunty Megan5ORCID,Geynisman Daniel M.1ORCID,Ghatalia Pooja1ORCID,Valentine Henkel1ORCID,Calaway Adam5ORCID,Correa Andres F.1ORCID,Brown Jason R.5ORCID,Mishra Kirtishri35ORCID,Plimack Elizabeth R.1ORCID,Kutikov Alexander1ORCID,Ghannoum Mahmoud3ORCID,Elshaer Mohammed3ORCID,Retuerto Mauricio3ORCID,Ponsky Lee35ORCID,Uzzo Robert G.1ORCID,Abbosh Philip H.16ORCID

Affiliation:

1. 1Fox Chase Cancer Center, Philadelphia, Pennsylvania.

2. 2Cleveland Clinic Glickman Urologic Institute, Cleveland, Ohio.

3. 3Case Western Reserve School of Medicine, Cleveland, Ohio.

4. 4India Institute of Technology, Delhi, India.

5. 5University Hospitals Cleveland Medical Center, Cleveland, Ohio.

6. 6Albert Einstein Medical Center, Philadelphia, Pennsylvania.

Abstract

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.

Funder

Case Comprehensive Cancer Center, Case Western Reserve University

TUHS | Fox Chase Cancer Center

Foundation for the National Institutes of Health

Publisher

American Association for Cancer Research (AACR)

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