Prostate Adenocarcinoma Clinical Trial
Official title:
The Effect of a Soy Bread Diet Intervention on Immune Function in Men With Prostate Cancer
Verified date | February 2024 |
Source | Ohio State University Comprehensive Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This phase II trial studies the effects of a soy bread versus a wheat bread in improving immune function in participants who are beginning a course of androgen deprivation therapy for prostate cancer. Components found in soy foods may influence the immune system in a way that may be beneficial for prostate cancer prevention and survivorship.
Status | Active, not recruiting |
Enrollment | 25 |
Est. completion date | March 1, 2025 |
Est. primary completion date | March 9, 2022 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Have biopsy proven adenocarcinoma of the prostate (no small cell, sarcomatoid, or other rare subtypes) - Be planning a course of at least 5 months of androgen deprivation therapy. Patients who have had androgen deprivation therapy in the past as part of salvage therapy or primary therapy, but are initiating a new course will be eligible. - Have a testosterone concentration within normal limits. - No neoadjuvant hormonal or chemotherapy (other clinical trials) for their prostate cancer - Have an Eastern Cooperative Oncology Group (ECOG) performance status of 0-1. - Have blood, urea, nitrogen (BUN)/creatinine (Cr), liver enzymes, complete blood count (CBC), and prothrombin time (PT)/partial thromboplastin time (PTT)/international normalized ratio (INR) within normal limits - Voluntarily agree to participate and a sign an informed consent document - Agree to have prostate biopsy blocks provided to the study for evaluation - Willing to discontinue all current vitamin/mineral supplements - Not currently be taking complementary or alternative products (i.e. PC-SPES, Saw Palmetto) that target the prostate or may impact the hormonal environment - Agree to consume a standardized vitamin and mineral supplement (provided by the study) and avoid other nutrition, dietary, or alternative medications/supplements for the duration of the study Exclusion Criteria: - Have an active malignancy other than prostate cancer that requires therapy - No diagnosed hematologic malignancy - Not currently taking steroid medications (i.e., chronic lymphocytic leukemia [CLL]) - No chronic infection (i.e., human immunodeficiency virus-positive [HIV+]) - No history of organ transplant requiring immunosuppressive medications - History of nephrolithiasis (renal stones) - Renal insufficiency with creatinine > 1.8, including anyone on dialysis regardless of nadir creatinine - Have certain medical conditions. Have no history of malabsorptive disorders or other metabolic disorders requiring special diet recommendations (for example, Crohn?s disease or gluten enteropathy) |
Country | Name | City | State |
---|---|---|---|
United States | Ohio State University Comprehensive Cancer Center | Columbus | Ohio |
Lead Sponsor | Collaborator |
---|---|
Ohio State University Comprehensive Cancer Center | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in peripheral blood myeloid derived suppressor cells (MDSC) | A two-sample t-test will be used to compare the differences (log-transformed if necessary to improve normality). | Week 0 to week 20 | |
Primary | Treatment effect on peripheral blood MDSC | Mixed-effects regression models will be used to estimate the treatment effect on peripheral blood MDSC after adjusting for covariates such as age, compliance, and weight. A condition by time (pre versus [vs.] post) interaction will be included to test for a treatment effect. A random effect will be included for each subject to account for the dependency between the pre-post measurements. Correlations (Pearson and Spearman) between measures will be evaluated to determine if positive or negative relationships exist between the measures themselves or the week 0 to week 5 differences (e.g. MSDC vs. T-cell proliferation, MDSC vs. cytokines). Model adequacy and assumptions will be evaluated via residual plots. In the event that model assumptions are violated, outcomes will be transformed or non-parametric methods will be used. Tissue MDSC will be compared using linear regression. | Up to week 20 | |
Primary | Treatment effects in plasma cytokines | Mixed-effects regression models will be used to estimate the treatment effect. Correlations (Pearson and Spearman) between measures will be evaluated to determine if positive or negative relationships exist between the measures themselves or the week 0 to week 5 differences (e.g. MSDC vs. T-cell proliferation, MDSC vs. cytokines). Model adequacy and assumptions will be evaluated via residual plots. In the event that model assumptions are violated, outcomes will be transformed or non-parametric methods will be used. | Up to week 20 | |
Primary | Treatment effects in T-cell proliferation | Mixed-effects regression models will be used to estimate the treatment effect. Correlations (Pearson and Spearman) between measures will be evaluated to determine if positive or negative relationships exist between the measures themselves or the week 0 to week 20 differences (e.g. MSDC vs. T-cell proliferation, MDSC vs. cytokines). Model adequacy and assumptions will be evaluated via residual plots. In the event that model assumptions are violated, outcomes will be transformed or non-parametric methods will be used. | Up to week 20 | |
Primary | Treatment effects in prostate specific antigen (PSA) | Mixed-effects regression models will be used to estimate the treatment effect. | Up to week 20 | |
Secondary | PSA response | Mixed-effects models will be used to explore treatment effects in PSA outcomes | Up to week 20 |
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