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Role of Gut Microbiome in Cancer Therapy

Recruiting
Conditions
Malignant Solid Neoplasm
Hematopoietic and Lymphoid Cell Neoplasm
Interventions
Procedure: Biospecimen Collection
Other: Electronic Health Record Review
Registration Number
NCT05112614
Lead Sponsor
Mayo Clinic
Brief Summary

This study examines how gut microbiome can affect cancer therapy in cancer patients undergoing cancer therapy or stem cell transplant. The human microbiome affects the way some cancer drugs are metabolized in the human body. Information from this study may help doctors improve the way cancer treatment is delivered, and increase its effectiveness and success.

Detailed Description

PRIMARY OBJECTIVE:

I. To correlate gut microbiome with specific cancer diagnoses and the clinical response (efficacy), and adverse effects of cancer therapy (single or multiple) and stem cell transplant.

OUTLINE:

Patients undergo collection of blood and stool samples and have their medical records reviewed.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
5000
Inclusion Criteria
  • Age 18-99
  • Diagnosis of cancer and undergoing cancer therapy or scheduled to start cancer therapy or undergoing stem cell transplant for any hematological condition
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Exclusion Criteria
  • Unable to provide informed consent
  • Vulnerable adults
Read More

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Observational (biospecimen collection, medical record review)Biospecimen CollectionPatients undergo collection of blood and stool samples and have their medical records reviewed.
Observational (biospecimen collection, medical record review)Electronic Health Record ReviewPatients undergo collection of blood and stool samples and have their medical records reviewed.
Primary Outcome Measures
NameTimeMethod
Gut microbiome associations with cancer diagnosesThrough study completion, average of 1 year

Will be done using Shogun pipeline for metagenomics data followed by analysis using QIIME 2.0.

Associations between microbial community abundances and clinical outcomesThrough study completion, average of 1 year

Will use a linear multivariate regression model specifically developed for microbiome data (MaAsLin, Multivariate microbial Association by Linear models.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (3)

Mayo Clinic in Arizona

🇺🇸

Scottsdale, Arizona, United States

Mayo Clinic in Florida

🇺🇸

Jacksonville, Florida, United States

Mayo Clinic in Rochester

🇺🇸

Rochester, Minnesota, United States

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