Anatomic Stage III Breast Cancer AJCC v8 Clinical Trial
Official title:
A Phase II Randomized Double-Blind Placebo-Controlled Study of Fisetin to Improve Physical Function in Breast Cancer Survivors
This phase II trial tests whether fisetin works to improve physical function in women who have received chemotherapy for stage I-III breast cancer treatment. Fisetin is a naturally occurring substance that is found in strawberries and other foods. Fisetin eliminates cells that have undergone a process called senescence. Senescence is when a cell ages and permanently stops dividing but does not die. Over time, large numbers of these cells build up in tissues throughout the body and can release harmful substances that causes inflammation and damages nearby healthy cells. Studies have shown that chemotherapy causes a build-up of these senescent cells. Giving fisetin may eliminate senescent cells and improve physical function in postmenopausal women who have received chemotherapy for breast cancer.
| Status | Recruiting |
| Enrollment | 88 |
| Est. completion date | June 1, 2026 |
| Est. primary completion date | June 1, 2026 |
| Accepts healthy volunteers | No |
| Gender | Female |
| Age group | N/A and older |
| Eligibility | Inclusion Criteria: - Women who are postmenopausal at the start of study treatment. Postmenopausal status will be established as follows: - Women aged: >= 60 years OR - Women aged < 60 years AND one of the following conditions is met: - They have not had any menstrual periods for at least 12 months in the absence of exogenous hormonal treatments, chemotherapy, and/or tamoxifen AND have serum estradiol and follicle-stimulating hormone (FSH) levels confirmed as being within the standard laboratory reference range for postmenopausal females. - They have documented irreversible bilateral oophorectomy. - They are receiving ovarian suppression with their breast cancer endocrine therapy - Women with a diagnosis of early-stage breast cancer (Stage I-III) treated with neo/adjuvant chemotherapy within 12 months of starting study treatment - No evidence of active/recurrent breast cancer or other serious chronic illnesses - Have evidence of frail health, defined as a diminished 6-minute walk distance (< 400m) at baseline - Platelets > 60,000/mm^3 - White blood cell count > 2,000/mm^3 - Absolute neutrophil count > 500/mm^3 - Hemoglobin >= 8.0 g/dL - Total bilirubin =< 3.0 X upper limit of normal (ULN) - Aspartate aminotransferase (AST) =< 4.0 x ULN - Alanine aminotransferase (ALT) =< 4.0 x ULN - Estimated glomerular filtration rate (eGFR) of >= 30mL/min/1.73m^2 per the Modification of Diet in Renal Disease (MDRD) calculation - Ability to understand and the willingness to sign a written informed consent document Exclusion Criteria: - Cancer-directed chemotherapy, biological therapy, or immunotherapy within 30 days prior to the start of study treatment. Exceptions include: trastuzumab, pertuzumab, pembrolizumab, tamoxifen, and aromatase inhibitors - Surgery and/or radiation within the last 30 days of starting study treatment (Exception: invasive non- major procedures such as an outpatient biopsy) - Subjects taking medications that are considered prohibited. - Exception: Subjects taking any of the medications listed in under "Temporary medication adjustment required" may participate if they are otherwise eligible AND the medication can be safely withheld (from immediately before the 1st study agent administration until at least 10 hours after the last study agent administration, for each dosing interval) - On herbal and natural medications with possible senolytic properties (i.e., curcumin, kava kava, St. John's wort) and are unable or unwilling to hold its administration 2 days prior to and during study treatment dosing. Exceptions include cannabidiol (CBD), vitamins, probiotics, and fish oil. Other herbal and natural medications may be permitted or prohibited per clinician discretion - Subjects taking potentially senolytic agents within the last year: fisetin, quercetin, luteolin, dasatinib or imatinib (or other tyrosine kinase inhibitors), piperlongumine, or navitoclax - Subjects on therapeutic doses of anticoagulants (e.g., warfarin, heparin, low molecular weight heparin, factor Xa inhibitors, etc.) - Issues with tolerating oral medication (such as but not limited to, inability to swallow pills (g-tubes not allowed), malabsorption issues, ongoing nausea or vomiting during screening, history of Crohn's, gastric bypass/reduction, or celiac disease) - Any other condition that would, in the Investigator's judgment, contraindicate the patient's participation in the clinical study due to safety concerns with clinical study procedures - Currently participating in another intervention research study seeking to improve functional status, alleviate frailty, muscle strength, exhaustion/fatigue, or cognitive function |
| Country | Name | City | State |
|---|---|---|---|
| United States | City of Hope Comprehensive Cancer Center | Duarte | California |
| United States | UCLA / Jonsson Comprehensive Cancer Center | Los Angeles | California |
| Lead Sponsor | Collaborator |
|---|---|
| Jonsson Comprehensive Cancer Center | National Cancer Institute (NCI), National Institute on Aging (NIA) |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Change in 6-minute walk distance (6MWD) | The 6MWD is a validated measure of physical function. Participants walk at their own pace for 6 minutes and distance (in meters) is measured at the end. Will be treated as a continuous variable. Its distribution will be transformed to normality as appropriate, Initially, a simple t-test will be used to compare the means of 6MWD at Day 60 by treatment groups. | Baseline to day 60 | |
| Secondary | Change in grip strength | Generalized estimating equation (GEE) models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to access change in grip strength.
Grip strength will be obtained using a hand dynamometer. |
From baseline to day 60 | |
| Secondary | Change in Short Physical Performance Battery score | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to access change in short physical performance battery score. | From baseline to day 60 | |
| Secondary | Change in frailty phenotype | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in physical function component of 36-item Short Form (SF-36) | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in the Borg Rating of Perceived Exertion score | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in Quality of Life Questionnaire Chemotherapy-Induced Peripheral Neuropathy 20 scores | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in Patient Reported Outcomes Measurement Information System cognitive function short form score | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in composite SF-36 score | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in sleep (Insomnia Severity Index score) | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in anxiety (Generalized Anxiety Disorder-7 score) | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Change in depression (Patient Health Questionnaire-8 score) | GEE models will be fitted. The variables also will be dichotomized (e.g., < median, >= median) and GEE models for binary data used to test treatment effects over time. | From baseline to day 60 | |
| Secondary | Local recurrence free survival | Will be compared between fisetin and placebo using the stratified log-rank test. The stratified Cox regression model will be used to obtain the estimate of the hazard ratio and the 95% confidence interval. The distributions of various survival endpoints will be estimated using the Kaplan-Meier method. | Up to 3 years | |
| Secondary | Distant recurrence free survival | Will be compared between fisetin and placebo using the stratified log-rank test. The stratified Cox regression model will be used to obtain the estimate of the hazard ratio and the 95% confidence interval. The distributions of various survival endpoints will be estimated using the Kaplan-Meier method. | Up to 3 years | |
| Secondary | Breast cancer specific survival and overall survival | Will be compared between fisetin and placebo using the stratified log-rank test. The stratified Cox regression model will be used to obtain the estimate of the hazard ratio and the 95% confidence interval. The distributions of various survival endpoints will be estimated using the Kaplan-Meier method. | Up to 3 years | |
| Secondary | Overall survival | Will be compared between fisetin and placebo using the stratified log-rank test. The stratified Cox regression model will be used to obtain the estimate of the hazard ratio and the 95% confidence interval. The distributions of various survival endpoints will be estimated using the Kaplan-Meier method. | Up to 3 years | |
| Secondary | Adverse events rates | Measured by National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) version (v.)5. Adverse events will be determined at each time point per patient as the presence (yes/no) of toxicities (CTCAE v 5.0) of grade >= 2. The number of patients with adverse events will be compared by treatment arms using Fisher's exact test. GEE models for binary data will also be used to compare the proportion of patients with adverse events over time by treatment. | Up to 90 days | |
| Secondary | Adherence rate | Measured by pill diary. Treatment adherence (yes/no) for each patient at each time point will be determined. A patient will be considered adherent (coded 1) if she took all the required capsules within the allotted time, and non-adherent (coded 0) otherwise. The number of capsules taken in the allotted time out of the total required will also be recorded. Will then compare between treatments the proportion of adherent patients and the average proportion of capsules taken within the allotted time across patients at each time point using the t-test. Time point-specific analysis will be performed since conditions for pill-taking differ between the clinic (supervised) and patients' home (self-administered). | From baseline up to 30 days |
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