Investigation of Associations Between Chemotherapy-Induced Nausea in Patients With Genitourinary, Sarcoma or Melanoma Cancers and Changes in Gut Microbiome: Potential for Precision Therapeutics
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Bladder Cancer
- Sponsor
- Mayo Clinic
- Enrollment
- 13
- Locations
- 1
- Primary Endpoint
- Change in patient retention
- Status
- Terminated
- Last Updated
- last year
Overview
Brief Summary
The objective of this pilot cohort study is to investigate associations between CIN and changes in gut microbiome composition profiles.
Detailed Description
The long-term goal of this study is to alleviate the occurrence of CIN and to improve chemotherapy treatment outcomes. The identification of associations between CIN and chemotherapy-induced changes in gut microbiome composition profiles will increase our understanding of these mechanisms that underlie CIN. An increased understanding of the underlying mechanisms will provide targets for the development of novel interventions to help alleviate CIN.
Investigators
Komal P. Singh
Principal Investigator
Mayo Clinic
Eligibility Criteria
Inclusion Criteria
- •at least 20 years of age
- •last chemotherapy more than 3 years ago
- •scheduled to receive either moderate to highly emetogenic chemotherapy with or without targeted therapies including immunotherapies) or immunotherapies/targeted therapies alone that can lead to toxicity symptoms for example, nausea and fatigue.
- •Patients receiving chemotherapy and/or immunotherapy treatment at a Mayo Clinic infusion center or an infusion center outside of Mayo Clinic
Exclusion Criteria
- •concurrent radiation therapy
- •concurrent antibiotic treatment
- •concurrent oncolytic virus treatment
Outcomes
Primary Outcomes
Change in patient retention
Time Frame: Baseline, 14 days
Evaluate the feasibility of patient retention by using descriptive statistics to determine number of patients who completed the questionnaires at both assessments.
Change of the gut microbiome
Time Frame: Up to 10 months
Evaluate for changes in alpha and beta diversity as well as composition of the gut microbiome pre- and post-chemotherapy in patients who do and do not report chemotherapy-induced nausea (CIN) after chemotherapy. Region V3-V5 of the 16s rRNA gene will be targeted for sequencing and submitted to trimmomatic for reads trimming and quality control.
Evaluate for perturbed metabolic pathways
Time Frame: Up to 10 months
Evaluate for perturbed metabolic pathways associated with microbiome diversity in patients who do and do not report chemotherapy-induced nausea (CIN) after chemotherapy. Metabolomics profiling will be performed on stool samples pre- and post-chemotherapy using liquid chromatography-tandem mass spectrometry (LC-MS/MS), as well as RNA-Seq analyses.
Change in patient specimen collection
Time Frame: Baseline, 14 days
Evaluate the feasibility of patient specimen collection by using descriptive statistics to determine number patients who provided stool samples at both assessments.
Change in patient recruitment
Time Frame: Baseline, 14 days
Evaluate the feasibility of patient recruitment by using descriptive statistics to determine number of patients approached and number of patients enrolled.
Evaluate for differentially abundant metabolites
Time Frame: Up to 10 months
Evaluate for differentially abundant metabolites associated with microbiome diversity in patients who do and do not report chemotherapy-induced nausea (CIN) after chemotherapy. Metabolomics profiling of stool samples pre- and post-chemotherapy using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
Associations between microbial composition functional profiles
Time Frame: Up to 10 months
Examine associations between microbial composition functional profiles pre- and post-chemotherapy in patients who report chemotherapy-induced nausea (CIN) after chemotherapy. Change in relative abundance of genus associated with CIN occurrence will be used to predict the function of the genus. We will use PiCrust to perform functional profiling.