Resveratrol
DrugGiven PO
NCT Number: NCT01370889
This pilot phase I trial studies resveratrol in postmenopausal women with high body mass index. Chemoprevention is the use of certain drugs to keep cancer from forming. The use of resveratrol may keep cancer from forming. Studying samples of blood and urine in the laboratory from postmenopausal women who are taking resveratrol may help doctors learn more about the effects of resveratrol on biomarkers.
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Notify Me35 year and older
Female
Interventional
Phase 1
Arizona Cancer Center - Tucson, Tucson, Arizona, United States
PRIMARY OBJECTIVES:
I. To determine the effect of pharmacological doses of resveratrol on serum estradiol levels in post-menopausal women with high body mass index (BMI).
SECONDARY OBJECTIVES:
I. Assess the effect of resveratrol on serum estrone, testosterone, and sex hormone-binding globulin (SHBP).
II. Assess the effect of resveratrol on serum levels of insulin and C-peptide. III. Assess the effect of resveratrol on adipocytokine expression and secretion as measured by serum leptin and adiponectin.
IV. Assess the effect of resveratrol on inflammatory cytokines as measured by serum C-reactive protein (CRP).
V. Assess the effect of resveratrol on oxidative stress as measured by urinary 8-isoprostaglandin F2 alpha (8-iso-PGF2 alpha) and 8-hydroxydeoxyguanosine (8OHdG).
VI. Assess the safety of resveratrol intervention as measured by reported adverse events, complete blood count with differential (CBC/diff), comprehensive metabolic panel (CMP), and lipid profile.
VII. Assess the relationship between systemic study agent exposure and biomarker modulation.
OUTLINE:
Patients receive resveratrol orally (PO) once daily (QD) for 12 weeks.
After completion of study therapy, patients are followed up for 2 weeks
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Within 3 months of or concurrent usage of tamoxifen, raloxifene, other selective estrogen-receptor modulators, or aromatase inhibitors
Given PO
Correlative studies
Time frame: From baseline to 12 weeks (post-intervention)
A two-sided paired t-test will be performed to determine whether the change is significant at a significance level of 5%. If the data distribution indicates non-normality or skewedness in violation of the assumptions of the t-test, non-parametric tests will be used. Linear regression techniques will be used to adjust for potential confounders, e.g. age and BMI.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: From baseline to 12 weeks (post-intervention)
Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
Time frame: Up to 12 weeks
Descriptive statistics of the type and frequency of all adverse events will be generated, including 95% confidence intervals.
Time frame: Up to 12 weeks
Time frame: Up to 12 weeks
The Spearman correlation coefficient will be calculated to evaluate the correlation between biomarker changes and study agent/metabolite levels. Linear regression techniques will be used to adjust for potential confounders, e.g. age and BMI.
National Cancer Institute (NCI)
Nih
Pilot Study of Resveratrol in Postmenopausal Women With High Body Mass Index
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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