Anatomic Stage III Breast Cancer AJCC v8 Clinical Trial
Official title:
Use of Multiscale Omics to Develop a Cohort Database and Study Platform in Breast Cancer Survivors
| Verified date | September 2023 |
| Source | Mayo Clinic |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
This study gathers information to create a database to improve the ability to diagnose cancer, predict long term health of breast cancer patients, and help develop future treatment products. This study will provide a foundational platform for therapeutic development and intervention studies in the future and may for therapeutic development and intervention studies in the future, and may advance researchers understanding of the contribution gut bacteria to altered circulating estrogens in breast cancer survivors.
| Status | Active, not recruiting |
| Enrollment | 105 |
| Est. completion date | December 30, 2024 |
| Est. primary completion date | December 30, 2022 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | Female |
| Age group | 18 Years to 75 Years |
| Eligibility | 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 |
| Country | Name | City | State |
|---|---|---|---|
| United States | Mayo Clinic in Rochester | Rochester | Minnesota |
| Lead Sponsor | Collaborator |
|---|---|
| Mayo Clinic |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Utilization of multiscale omics to build a cohort database for breast cancer survivors | Up to study completion, up to 30 months | ||
| Secondary | Detection of unique patterns of variance | 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 study completion, up to 30 months | |
| Secondary | Detection of unique patterns of variance | 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 study completion, up to 30 months | |
| Secondary | Detection of unique patterns of variance | 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 study completion, up to 30 months |
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