The microbiome has the potential to serve as a robust biomarker of clinical response to immunotherapy. Additionally, microbial manipulation, through diet, exercise, prebiotics, probiotics, or microbially-derived metabolites, may prove to be beneficial in promoting anti-tumor immune responses. However, large prospective studies in humans with longitudinal sample collection and standardized methods are needed to understand how microbiota and their byproducts affect cancer therapies, particularly among patients undergoing identical therapy but experiencing different outcomes. The proposed observational study builds upon these hypotheses by proposing a large cohort design to further assess the associations between the gut microbiota (composition and function), host immune system, and ICI treatment efficacy across multiple cancer types.
Study Type
OBSERVATIONAL
Enrollment
800
anti-PD-1, anti-PD-L1, or anti-CTLA-4 as a single agent or in combination with another checkpoint inhibitor or other treatment agent or modality (e.g., targeted therapy, chemotherapy, surgery, radiation, etc.) in accordance with FDA-labeled use of the agent
Baptist Health Clinical Research
Elizabethtown, Kentucky, United States
RECRUITINGChange in microbiome composition from baseline to after Cycle 2 of checkpoint therapy (6-8 weeks) by analyzing longitudinally-collected stool specimens of 800 patients with primary NSCLC, MM, RCC, and TNBC
Microbiome evaluation with whole metagenome shotgun sequencing to assess changes in the relative abundance of microbial taxa (measured as percentage abundance per microbial species and changes in percentage abundance between baseline and cycle 2 timepoints) in patients who are receiving checkpoint blockade immunotherapy as the standard of care
Time frame: prior to initiation of checkpoint therapy (i.e. "Baseline") and at the end of Cycle 2 of checkpoint blockade immunotherapy (at approximately 6-8 weeks) ]
Microbiome samples correlation
Definition of a correlation between the gut microbiome and circulating cytokines (specifically IL-2, IL-10, TNF-alpha, IFN-gamma, and G-CSF) and therapeutic response (defined using RECIST criteria).
Time frame: Time Frame: prior to initiation of checkpoint therapy (i.e. "Baseline") and at the end of Cycle 2 (at approximately 6-8 weeks)
Microbiome correlation to blood biomarkers
Definition of a correlation between the gut microbiome (measured as percent abundance of microbial taxa derived from whole-metagenome shotgun sequencing) and plasma metabolites (measured in m/z and peak intensities and--where possible--compound abundances in ng/mL) and circulating cytokines (measured in pg/mL per cytokine) in patients receiving checkpoint blockade immunotherapy.
Time frame: Time Frame: prior to initiation of checkpoint therapy (i.e. "Baseline") and at the end of Cycle 2 (at approximately 6-8 weeks)
Blood samples correlation
Definition of a correlation between plasma metabolites (measured in m/z and peak intensities and--where possible--compound abundances in ng/mL) and circulating cytokines (measured in pg/mL per cytokine) and therapeutic response (defined using RECIST criteria).
Time frame: Time Frame: prior to initiation of checkpoint therapy (i.e. "Baseline") and at the end of Cycle 2 (at approximately 6-8 weeks)
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