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This study aims to establish the microbiota composition as a predictive tool for the response to the intravesical immunotherapy with Bacillus Calmette-Guérin (BCG) and 2 different chemotherapies schemes.
In this prospective cohort study patients with low/intermediate/high risk non muscle invasive bladder carcinoma (NMIBC) that undergo BCG/chemo treatment will be enrolled to collect urine stool and blood at different endpoints. Microbiota, short-chain fatty acids and immunophenotype will be quantified to develop a predictive screening platform, which might also integrate traditional urinary cytology and FISH data.
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The purpose of this research is to understand the possible use of microbial profile from catheterized urine and feces of patients with NMIBC to categorize patients in two groups: those likely to respond positively and those unlikely to respond to the therapy. Goal of this study is to identify the predictive role of the microbiome to therapy response, thus allowing clinicians to deliver the most appropriate treatment based on the microbiome (microbiome-personalized therapy).
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420 participants in 6 patient groups
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Marco Moschini, MD, PhD; Massimo Alfano, PhD
Data sourced from clinicaltrials.gov
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