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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Checkpoint Inhibitor, Immune | Drug | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Change 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 | 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) ] |
| Measure | Description | Time Frame |
|---|---|---|
| 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: 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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Inclusion Criteria:
Exclusion Criteria:
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The investigator propose to enroll 800 cancer patients (NSCLC, MM, RCC, and TNBC; any stage) who are about to begin standard of care ICI therapy into a multi-site prospective observational study of the gut microbiome.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hanane Arib, MS | Contact | 650-479-5539 | Hanane@vastbiome.com | |
| Peter McCaffrey, MD | Contact | 650-479-5539 | Peter@vastbiome.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Baptist Health Clinical Research | Recruiting | Elizabethtown | Kentucky | 42701 | United States |
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| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| D008545 | Melanoma |
| D002292 | Carcinoma, Renal Cell |
| D064726 | Triple Negative Breast Neoplasms |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
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| ID | Term |
|---|---|
| D000082082 | Immune Checkpoint Inhibitors |
| ID | Term |
|---|---|
| D045504 | Molecular Mechanisms of Pharmacological Action |
| D020228 | Pharmacologic Actions |
| D020164 | Chemical Actions and Uses |
| D000074322 | Antineoplastic Agents, Immunological |
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| 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: 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: prior to initiation of checkpoint therapy (i.e. "Baseline") and at the end of Cycle 2 (at approximately 6-8 weeks) |
| D013899 |
| Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D007680 | Kidney Neoplasms |
| D014571 | Urologic Neoplasms |
| D014565 | Urogenital Neoplasms |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052801 | Male Urogenital Diseases |
| D001943 | Breast Neoplasms |
| D001941 | Breast Diseases |
| D000970 | Antineoplastic Agents |
| D045506 | Therapeutic Uses |