| ID | Type | Description | Link |
|---|---|---|---|
| NCI-2011-02593 | Registry Identifier | CTRP (Clinical Trial Reporting Program) | |
| CDR0000701405 | |||
| 10-0653-04 | Other Identifier | University of Arizona Health Sciences Center | |
| UAZ08-12-01 | Other Identifier | DCP | |
| P30CA023074 | U.S. NIH Grant/Contract | View source | |
| N01CN35158 | U.S. NIH Grant/Contract | View source |
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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.
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
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Basic Science (resveratrol) | Experimental | Patients receive resveratrol PO QD for 12 weeks. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| resveratrol | Drug | Given PO |
| |
| laboratory biomarker analysis |
| Measure | Description | Time Frame |
|---|---|---|
| Change in serum estradiol levels in postmenopausal women with high BMI | 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. | From baseline to 12 weeks (post-intervention) |
| Measure | Description | Time Frame |
|---|---|---|
| Change in serum estrone | 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. | From baseline to 12 weeks (post-intervention) |
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Inclusion Criteria:
Exclusion Criteria:
Within 3 months of or concurrent usage of tamoxifen, raloxifene, other selective estrogen-receptor modulators, or aromatase inhibitors
Regular usage (more than 2 times a week) of estrogenic supplements or herbal remedies (e.g., Remifemin, black cohosh, red clover, dong quai, soy isoflavones, dehydroepiandrosterone [DHEA], flaxseed, diindolylmethane [DIM], genistein, and daidzein) within the past 3 months or concurrently; dietary consumption of phytoestrogens/isoflavones (such as soy, tofu, millet, barley, natto, tempeh, miso, soy milk, soy sauce) is acceptable as these sources are not concentrated
Concurrent use of anti-diabetic drugs such as:
Concurrent use of warfarin or phenytoin
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| Name | Affiliation | Role |
|---|---|---|
| Hsiao-Hui (Sherry) Chow | University of Arizona Health Sciences Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Arizona Cancer Center - Tucson | Tucson | Arizona | 85724-5024 | United States | ||
| University of Arizona Health Sciences Center |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25115686 | Derived | Chow HH, Garland LL, Heckman-Stoddard BM, Hsu CH, Butler VD, Cordova CA, Chew WM, Cornelison TL. A pilot clinical study of resveratrol in postmenopausal women with high body mass index: effects on systemic sex steroid hormones. J Transl Med. 2014 Aug 14;12:223. doi: 10.1186/s12967-014-0223-0. |
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| ID | Term |
|---|---|
| D000077185 | Resveratrol |
| ID | Term |
|---|---|
| D000081225 | Stilbestrols |
| D013267 | Stilbenes |
| D001597 | Benzylidene Compounds |
| D001555 | Benzene Derivatives |
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| Other |
Correlative studies |
|
| Change in serum testosterone | 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. | From baseline to 12 weeks (post-intervention) |
| Change in serum sex hormone-binding globulin (SHBG) | 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. | From baseline to 12 weeks (post-intervention) |
| Change in serum levels of insulin | 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. | From baseline to 12 weeks (post-intervention) |
| Change in serum levels of C-peptide | 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. | From baseline to 12 weeks (post-intervention) |
| Change in serum leptin | 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. | From baseline to 12 weeks (post-intervention) |
| Change in serum adiponectin | 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. | From baseline to 12 weeks (post-intervention) |
| Change in inflammatory markers, measured by serum C-reactive protein | 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. | From baseline to 12 weeks (post-intervention) |
| Change in urinary 8-iso-PGF2alpha | 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. | From baseline to 12 weeks (post-intervention) |
| Change in urinary 8OHdG | 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. | From baseline to 12 weeks (post-intervention) |
| Incidence of reported adverse events | Descriptive statistics of the type and frequency of all adverse events will be generated, including 95% confidence intervals. | Up to 12 weeks |
| Incidence of changes in CBC/diff, blood chemistry, and lipids | Up to 12 weeks |
| Study agent/metabolite levels | 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. | Up to 12 weeks |
| Tucson |
| Arizona |
| 85724 |
| United States |
| D006841 |
| Hydrocarbons, Aromatic |
| D006844 | Hydrocarbons, Cyclic |
| D006838 | Hydrocarbons |
| D009930 | Organic Chemicals |
| D059808 | Polyphenols |
| D010636 | Phenols |