TY - JOUR
T1 - Role of Gut Microbiome in Neoadjuvant Chemotherapy Response in Urothelial Carcinoma
T2 - A Multi-institutional Prospective Cohort Evaluation
AU - Bukavina, Laura
AU - Ginwala, Rashida
AU - Eltoukhi, Mohamed
AU - Sindhani, Mohit
AU - Prunty, Megan
AU - Geynisman, Daniel M.
AU - Ghatalia, Pooja
AU - Valentine, Henkel
AU - Calaway, Adam
AU - Correa, Andres F.
AU - Brown, Jason R.
AU - Mishra, Kirtishri
AU - Plimack, Elizabeth R.
AU - Kutikov, Alexander
AU - Ghannoum, Mahmoud
AU - Elshaer, Mohammed
AU - Retuerto, Mauricio
AU - Ponsky, Lee
AU - Uzzo, Robert G.
AU - Abbosh, Philip H.
N1 - Publisher Copyright:
© 2024 The Authors; Published by the American Association for Cancer Research.
PY - 2024/6
Y1 - 2024/6
N2 - UNLABELLED: 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.
AB - UNLABELLED: 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.
KW - Aged
KW - Carcinoma, Transitional Cell/drug therapy
KW - Feces/microbiology
KW - Female
KW - Gastrointestinal Microbiome/drug effects
KW - Humans
KW - Machine Learning
KW - Male
KW - Middle Aged
KW - Neoadjuvant Therapy/methods
KW - Prospective Studies
KW - Urinary Bladder Neoplasms/drug therapy
UR - http://www.scopus.com/inward/record.url?scp=85196326706&partnerID=8YFLogxK
U2 - 10.1158/2767-9764.CRC-23-0479
DO - 10.1158/2767-9764.CRC-23-0479
M3 - Article
C2 - 38747616
AN - SCOPUS:85196326706
SN - 2767-9764
VL - 4
SP - 1505
EP - 1516
JO - Cancer Research Communications
JF - Cancer Research Communications
IS - 6
ER -