Cardiovascular Diseases Clinical Trial
— IMPACT-WomenOfficial title:
Impact of Metabolic Health Patterns And Breast Cancer Over Time in Women
Background & Rationale: Breast cancer (BC) is the most commonly diagnosed malignancy in women worldwide (2.1 million diagnoses in 2018, 25% of new cancer cases). In Canada, early stage BC mortality rates have decreased by 48% over the past 30 years as a result of advances in prevention, detection, and treatment. However, competing risks for mortality from non-cancer causes have emerged, where cardiovascular disease (CVD) is now a leading cause of death for BC survivors. The direct toxic effects of BC treatment on the heart (cardiotoxicity) are well characterized by the investigators and many others, as a contributor to elevated cardiovascular risk. However, BC treatment and the associated lifestyle changes (i.e. physical inactivity, poor diet quality, stress) are increasingly recognized to also strongly affect metabolism negatively manifesting as insulin resistance, dyslipidemia and adipose tissue (fat) accumulation. These adverse metabolic changes are strongly linked to CVD risk and represent a currently underappreciated contributor to the elevated CVD risk among BC survivors. Preliminary data and recent publications demonstrate that regional fat accumulation occurs during BC treatment and that the fat burden in key locations is associated with poor cardiorespiratory health. A trigger of these adverse metabolic and inflammatory effects is excess fat specifically within ectopic fat (viscera, intermuscular, or hepatic) regions. In 2019, a member of the study team found that the volume of visceral and intermuscular but not subcutaneous fat at BC diagnosis were linearly associated with CVD events within 6 years, even among those with normal BMI and after adjustment for pre-existing CVD risk factors and for BC treatment type. Using MRI, investigators found that ~1 year after chemotherapy, BC survivors had significantly larger depots of visceral fat (49% larger) and thigh intermuscular fat (41% larger) compared to age and sex-matched controls, despite similar BMI and subcutaneous fat volumes in the two groups. Investigators also showed that the fat fraction within the thigh muscle and visceral fat volumes independently explained ~50% of the variation in cardiorespiratory fitness (measured by peak VO2). In particular, peak VO2 is one of the most powerful predictors of all-cause and CVD mortality and health care costs, and is the most consistently reported negative sequelae after treatment for BC. Unfortunately, there are no known therapies to recover long-term myocardial damage (i.e. cell death, fibrosis) from cancer therapies. There are several reasons to target fat as a therapeutic target in BC patients: 1) The study team have compelling preliminary data showing accelerated formation of ectopic fat during BC treatment. 2) Investigator's recent data showed that high fat content in key fat pools was associated with reduced peak VO2. 3) The burden of fat and the associated metabolic abnormalities are dynamic and malleable, and thus highly treatable. Research Question & Objectives: The primary purpose of this study is to evaluate the effect of a behavioural intervention involving supported time-restricted eating (TRE), diet quality improvements, and reduced sedentary time versus usual cancer and nutrition care in BC patients receiving chemotherapy treatment on ectopic fat, cardiometabolic profile, and chemotherapy outcomes. The investigators hypothesize that the intervention will attenuate the growth of ectopic fat during chemotherapy and reduce chemotherapy symptoms.
Status | Recruiting |
Enrollment | 65 |
Est. completion date | June 2027 |
Est. primary completion date | June 2026 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Female biological sex at birth - >18 years - Diagnosis of stage I, II, or III breast cancer - starting neoadjuvant or adjuvant intravenous chemotherapy - ECOG <3; - Oncologist approval to participate; - English speaking (all study materials and study staff will be in English) - Willing and able to adhere to study intervention Exclusion Criteria: - Individuals who do not have access to a smart phone with Bluetooth capability (required for Fitbit and for responding to intervention text messages) or at least a shared cell phone with someone in the same household (i.e., some couples may share a phone). - Type 1 or type 2 diabetes who require exogenous insulin (due to the potential need to adjust insulin dosing with TRE) or with hemoglobin A1c >10% - Research MRI contraindications (e.g., pacemaker, magnetic implants, pregnancy) - Uncontrolled thyroid disorder - Self-reported eating disorder history - Body mass index <18.5 kg/m2 or clinical signs of cachexia (discretion of treating oncologist) - =5% body weight loss within last 6 months - Those who are currently working night/rotating shifts, eating within =10-hour window or consistently eating less than 3 meals/day in the past 3 months. - patients who meet the criteria for medical clearance prior to exercise using the Physical Activity Readiness Questionnaire+ and are not cleared by their treating oncologist or family physician to perform maximal exercise testing. |
Country | Name | City | State |
---|---|---|---|
Canada | University of Alberta | Edmonton | Alberta |
Lead Sponsor | Collaborator |
---|---|
University of Alberta | Canadian Institutes of Health Research (CIHR) |
Canada,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Change in Insulin Resistance | Using blood work to determine insulin resistance, this includes HOMA-IR (mg/dL), hemoglobin A1c (mg/dL), lipid profile (mg/dL), and fasting glucose (mg/dL). | Baseline, 24-weeks, and 2 years | |
Other | Change in Waist to Hip ratio | Measurement of abdominal circumference at the level of the umbilicus, recorded to the nearest 0.5 cm, and measurement of circumference of the hips to the nearest 0.5 cm to calculate waist-to-hip ratio. | Baseline, 24-weeks, and 2 years | |
Other | Change in Resting Blood Pressure | Manually measured using a stethoscope and sphygmomanometer in a seated position after five minutes of quiet rest. The average of 2 measurements, taken 60 seconds apart that are within 6 mmHg will be taken. | Baseline, 24-weeks, and 2 years | |
Other | Change in Hormonal Markers | Measure of leptin and adiponectin (hormones involved in fat regulation) in blood recorded in ng/mL and ug/mL respectively. | Baseline, 24-weeks, and 2 years | |
Other | Medical Outcomes | Descriptive data and chemotherapy outcomes, as well as tracking long-term health effects of participation through participants' electronic medical records. | Up to 10 years after study completion | |
Other | Change in Cytokines | Measure of cytokines IL-6 and TNF-a in blood recorded in pg/mL. | Baseline, 24-weeks, and 2 years | |
Other | Physical Activity | Volume of time spent physically active measured by Fitbit Inspire 2 wrist band. | through study completion, an average of 2 years | |
Other | Dietary Intake | Dietary intake will be assessed by 3-day food diary that is to be recorded over 2 consecutive weekdays and 1 weekend day, and will be collected using the Canadian version of the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24-Canada). | Up to 24 weeks | |
Other | Smoking Status | Status as self-reported by participants in a qualitative demographics questionnaire. Participants may respond yes or no. Participants who smoke may indicate a worse outcome. | Baseline | |
Primary | Change in Fat Volumes | Visceral fat volumes as measured by MRI. | Baseline, 24-weeks, and 2 years | |
Secondary | Change in Thigh Fat Pool Volume | Thigh intermuscular and intramuscular fat volumes as measured by MRI. | Baseline, 24-weeks, and 2 years | |
Secondary | Change in Liver Fat Volume | Volume of fat in the hepatocytes in the liver as measured by MRI. | Baseline, 24-weeks, and 2 years | |
Secondary | Change in Subcutaneous Abdominal Fat Volume | Subcutaneous fat volumes that surround the abdomen as measured by MRI. | Baseline, 24-weeks, and 2 years | |
Secondary | Change in Metabolic Syndrome Z-score | Defined by the National Cholesterol Education Program Adult Treatment Panel, metabolic syndrome is determined by the presence of 3 or more of the following: abdominal obesity defined by waist circumference (men >102cm, women >88cm), triglycerides =150mg/dL, fasting glucose =110mg/dL, HDL cholesterol <40mg/dL for men and <50mg/dL for women, and blood pressure of =130/=85mmHg. Z-scores of 0 are equal to the mean. Anything above 0 for each risk listed above (excluding HDL cholesterol) indicates higher risk of CVD. Since HDL cholesterol is healthy, higher z-scores indicate lower risk of CVD. Z-scores rarely fall outside a range of -3 to 3. | Baseline, 24-weeks, and 2 years | |
Secondary | Change in Framingham risk score | Using the Framingham risk score to determine cardiovascular disease risk calculated using the Canadian Cardiovascular Society scoring system for age, sex, total cholesterol (mg/dL), high-density lipoprotein (mg/dL), treated or untreated systolic blood pressure (mmHg), diabetes, and smoking status (self-reported in questionnaires). Each category listed above is also assigned a numeric value. To find risk, one must total their points together from each category. The minimum value ranges from -3 or less points to a maximum value range of 21+ points. -3 or less points indicates a very low risk of cardiovascular disease, and 21+ points indicates a high risk of cardiovascular disease. | Baseline, 24-weeks, and 2 years | |
Secondary | Change in Peak VO2 | Maximal amount of oxygen consumed during a cardiopulmonary exercise test on a cycle ergometer measured by mL/kg/min to indicate cardiorespiratory fitness. | Baseline, 24-weeks, and 2 years |
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