Understanding and Predicting Breast Cancer Events After Treatment
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Breast Cancer
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: Non-RandomizedIntervention Model: Parallel AssignmentMasking: None (Open Label)Primary Purpose: Prevention
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Only males
Description
840 women aged ?18 years old scheduled to receive chemotherapy for Stage I-III breast cancer and a comparison population of 160 women without cancer (1,000 total). Equal numbers of women will be recruited aged < 52 vs. > 52. At baseline, innovative MRI measures of CV function (LV and aorta); measure...
840 women aged ?18 years old scheduled to receive chemotherapy for Stage I-III breast cancer and a comparison population of 160 women without cancer (1,000 total). Equal numbers of women will be recruited aged < 52 vs. > 52. At baseline, innovative MRI measures of CV function (LV and aorta); measurements of submaximal (6-minute walk) and, on 45% of the cohort, maximal (peak VO2) exercise capacity; questionnaire data to assess fatigue and behavioral and psychosocial risk factors; and biomarkers will be collected. Measurements will be repeated at 3±1, 12±2 and 24±2 months. This study will assess the relevance of pre-existing factors such as age, black/white race, hypertension, smoking (yes/no), diabetes, coronary artery disease, menopause status, CV medications, and physical activity on the study outcomes. Also, this study will assess dynamic change in modifiable CV risk factors (including BMI, blood pressure, serum lipids, serum glucose, physical activity, psychosocial factors, lifestyle behaviors), and the cancer treatment including chemotherapy, radiation therapy, immunotherapy, and surgery.
Tracking Information
- NCT #
- NCT02791581
- Collaborators
- National Cancer Institute (NCI)
- Investigators
- Principal Investigator: Gregory Hundley, MD Wake Forest University Health Sciences