- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04999826
Multiscale Omics for the Development of a Cohort Database and Study Platform in Breast Cancer Survivors
Use of Multiscale Omics to Develop a Cohort Database and Study Platform in Breast Cancer Survivors
Study Overview
Status
Conditions
- Anatomic Stage I Breast Cancer AJCC v8
- Anatomic Stage IA Breast Cancer AJCC v8
- Anatomic Stage IB Breast Cancer AJCC v8
- Anatomic Stage II Breast Cancer AJCC v8
- Anatomic Stage IIA Breast Cancer AJCC v8
- Anatomic Stage IIB Breast Cancer AJCC v8
- Anatomic Stage III Breast Cancer AJCC v8
- Anatomic Stage IIIA Breast Cancer AJCC v8
- Anatomic Stage IIIB Breast Cancer AJCC v8
- Anatomic Stage IIIC Breast Cancer AJCC v8
- Prognostic Stage I Breast Cancer AJCC v8
- Prognostic Stage IA Breast Cancer AJCC v8
- Prognostic Stage IB Breast Cancer AJCC v8
- Prognostic Stage II Breast Cancer AJCC v8
- Prognostic Stage IIA Breast Cancer AJCC v8
- Prognostic Stage IIB Breast Cancer AJCC v8
- Prognostic Stage III Breast Cancer AJCC v8
- Prognostic Stage IIIA Breast Cancer AJCC v8
- Prognostic Stage IIIB Breast Cancer AJCC v8
- Prognostic Stage IIIC Breast Cancer AJCC v8
- Anatomic Stage 0 Breast Cancer AJCC v8
- Prognostic Stage 0 Breast Cancer AJCC v8
Intervention / Treatment
Detailed Description
PRIMARY OBJECTIVE:
I. To use multiscale omics to build a cohort database that can be used as a reference population in support of multivariate analysis, predictive modeling, and development of natural product therapeutics and precision medicine applications for breast cancer survivors.
SECONDARY OBJECTIVE:
I. To detect unique patterns of variance between 1) targeted serum metabolites, 2) plasma metabolome, 3) gut microbiome community structure, 4) gut microbiome metabolome, 5) urine metabolome, 6) quality of life measures, and 7) breast cancer survivors (BCS) symptoms by using multivariate analysis, machine learning tools, and artificial intelligence applied to the large data sets developed in this trial.
OUTLINE:
Participants complete questionnaires over 10 minutes and undergo blood, urine, saliva, and fecal samples collection.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Minnesota
-
Rochester, Minnesota, United States, 55905
- Mayo Clinic in Rochester
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- BCS GROUP
- Female patients diagnosed with breast cancer age 18 - 75, stages 0 through 3 at time of diagnosis
- Who have completed active therapy (including surgery, radiation, and/or chemotherapy)
- Able to speak English and complete surveys and provide the specimen (willing to follow the sample collection instructions)
- Able to read, understand and sign inform consent
- CONTROL GROUP
- Healthy Volunteers age 18 - 75
- Able to speak and read English, complete consent, surveys, and provide specimens
Exclusion Criteria:
- Unable to give written consent
- Unable to fast before providing blood and urine
- Pregnant women (per participant report) and males
- Unwilling to travel to Mayo Clinic Rochester to provide bio specimens
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Observational (questionnaire, biospecimen collection)
Participants complete questionnaires over 10 minutes and undergo blood, urine, saliva, and fecal samples collection.
|
Ancillary studies
Other Names:
Complete questionnaires
Undergo biospecimen collection
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Utilization of multiscale omics to build a cohort database for breast cancer survivors
Time Frame: Up to 5 years
|
Up to 5 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Detection of unique patterns of variance
Time Frame: Up to 5 years
|
Will be detected between 1) serum metabolites, 2) plasma metabolome, 3) gut microbiome community structure, 4) gut microbiome metabolome, 5) urine metabolome, 6) quality of life measures, and 7) BCS symptoms by using multivariate analysis applied to the large data sets developed in this trial.
|
Up to 5 years
|
|
Detection of unique patterns of variance
Time Frame: Up to 5 years
|
Will be detected between 1) serum metabolites, 2) plasma metabolome, 3) gut microbiome community structure, 4) gut microbiome metabolome, 5) urine metabolome, 6) quality of life measures, and 7) BCS symptoms by using machine learning tools applied to the large data sets developed in this trial.
|
Up to 5 years
|
|
Detection of unique patterns of variance
Time Frame: Up to 5 years
|
Will be detected between 1) serum metabolites, 2) plasma metabolome, 3) gut microbiome community structure, 4) gut microbiome metabolome, 5) urine metabolome, 6) quality of life measures, and 7) BCS symptoms by using artificial intelligence applied to the large data sets developed in this trial.
|
Up to 5 years
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Brent A. Bauer, M.D., Mayo Clinic in Rochester
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 19-005860 (Mayo Clinic in Rochester)
- NCI-2021-07536 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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