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Whole-Food Plant-Based Diet to Control Weight and MetaboInflammation in Overweight/Obese Men With Prostate Cancer (WFPBD)

Primary Purpose

Prostate Cancer

Status
Recruiting
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Whole-food, Plant-Based Diet
General Nutritional Counseling
Sponsored by
Weill Medical College of Cornell University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Prostate Cancer

Eligibility Criteria

45 Years - 99 Years (Adult, Older Adult)MaleDoes not accept healthy volunteers

Inclusion Criteria

  1. Histologically or cytologically confirmed adenocarcinoma of the prostate
  2. Receiving androgen deprivation therapy (ADT) with an LHRH/GnRH analogue (agonist/antagonist); or have undergone bilateral orchiectomy. Patients with localized prostate cancer, non-metastatic castrate resistant prostate cancer (CRPC), metastatic hormone sensitive prostate cancer and metastatic CRPC are all eligible.
  3. On ADT for at least 24 weeks pre-study with anticipation of at least 26 more weeks of therapy from the date of initiation of the dietary intervention
  4. Patients receiving an anti-androgen (including, but not limited to drugs such as bicalutamide, abiraterone, enzalutamide or apalutamide) are eligible if they have been on therapy for at least 3 months and plan to continue for the duration of the study
  5. At least 3 months post completion of chemotherapy and/or radiation
  6. Bone resorptive agents such as bisphosphanates and denosumab are allowed.
  7. Testosterone level <50 ng/dL
  8. Age ≥ 45 years
  9. BMI ≥ 27
  10. ECOG performance status of 0 to 1
  11. Adequate organ and marrow function, based upon meeting all of the following laboratory criteria:

    1. White blood cell count ≥ 2500/mm3 (≥ 2.5 GI/L)
    2. Platelets ≥ 100,000/mm3 (≥ 100 GI/L) without transfusion
    3. Hemoglobin ≥ 9 g/dL (≥ 90 g/L)
    4. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin ≤ 2x ULN (or for subjects with Gilbert's disease direct bilirubin WNL)
    5. Serum albumin ≥ 2.8 g/dl
  12. Willingness and ability to comply with all study-related procedures
  13. Capable of understanding and complying with the protocol requirements and must have signed the informed consent document

Exclusion Criteria

  1. Insulin-dependent diabetes mellitus
  2. Nut or legume allergy, gluten intolerance or celiac disease
  3. Currently consuming a vegetarian or vegan diet
  4. Concurrent participation in other nutrition or weight loss programs
  5. Expected changes in chronic medications, including statins or oral diabetes medication during the study period (including a change in medication dosage)
  6. Expected radiation, chemotherapy, bone resorptive agents or anti-androgen within 2 months of beginning the diet intervention
  7. Expected changes in exercise patterns during the study period
  8. Psychiatric illnesses or social situations that would limit compliance with study requirements, including a living situation that does not allow for the delivery of Plantable prepared meals, or the inability or lack of equipment to perform basic cooking tasks
  9. Known history of electrolyte imbalance or micronutrient deficiency, e.g., magnesium, cobalamin
  10. Ongoing use of warfarin anticoagulants
  11. Diagnosed, active inflammatory bowel disease
  12. Inability to receive Emails or have a smart phone

Sites / Locations

  • Johns Hopkins Sidney Kimmel Comprehensive Cancer CenterRecruiting
  • Weill Cornell MedicineRecruiting
  • Columbia University Medical CenterRecruiting

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

Whole-food, Plant-based Diet (WFPBD)

General Nutrition Counseling

Arm Description

Home-delivered WFPBD meals will be provided to participants, along with nutritional coaching and education. 12 meals a week will be delivered for the first 4 weeks, followed by 6 meals a week for the next 4 weeks. Finally, for the last 18 weeks they will not receive pre-packed meals, but will continue to receive WFPBD coaching. 30 participants are anticipated to be accrued in this arm.

Participants will receive general nutritional counseling weekly for the first 4 weeks, followed by monthly nutritional counseling for the following 18 weeks. 30 participants are anticipated to be accrued in this arm.

Outcomes

Primary Outcome Measures

Change in weight from baseline to 4 weeks post-randomization
All participates will be weighed at the baseline visit and at 4 weeks. A two-sample t-test will be used to compare the average change in weight (baseline weight minus 4-week weight).

Secondary Outcome Measures

Change in levels of serum hsCRP from baseline to 4, 8, and 26 weeks post-randomization
hsCRP is being measured as a marker of inflammation. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of serum IL-6 from baseline to 4, 8, and 26 weeks post-randomization
IL-6 is being measured as a marker of inflammation. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of serum glucose from baseline to 4, 8, and 26 weeks post-randomization
Glucose is being measured as a marker of insulin resistance. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of serum leptin from baseline to 4, 8, and 26 weeks post-randomization
Leptin is being measured as a marker of metabolism. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of serum adiponectin from baseline to 4, 8, and 26 weeks post-randomization
Adiponectin is being measured as a marker of metabolism. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of serum direct LDL from baseline to 4, 8, and 26 weeks post-randomization
Direct LDL is being measured as a marker of cardiovascular risk. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of HDL from baseline to 4, 8, and 26 weeks post-randomization
HDL is being measured as a marker of cardiovascular risk. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of fasting triglycerides from baseline to 4, 8, and 26 weeks post-randomization
Fasting triglycerides are being measured as a marker of cardiovascular risk. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in levels of serum insulin from baseline to 4, 8, and 26 weeks post-randomization
Insulin is being measured as a marker of insulin resistance. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in FACT-P score as an indicator of quality of life from baseline to 4, 8, and 26
The FACT-P is a self-administered questionnaire that asks patients with prostate cancer about well-being in different aspects of life. It provides different statements and patients record how much they agree or disagree on a Likert scale. FACT-P scores will be calculated based on the participant responses to the questionnaire given at baseline, 4 weeks, 8 weeks, and 26 weeks. Scores can range from 0 to 156 with higher scores indicating a higher quality of life. Mean scores for all participants in each arm will be calculated and compared using a two-way ANOVA.
Change in mean measures of body fat percentage, as determined by DEXA scan, from baseline to 4 and 26 weeks post-randomization
All participants will receive a DEXA scan at baseline, 4 weeks, and 26 weeks to determine body fat percentage. Average body fat percentage will be calculated for each study arm and compared using a two-way ANOVA.
Change in the diversity of the fecal microbiome from baseline to 4 and 26 weeks post-randomization
For the microbiome data obtained through 16S rRNA sequencing, DADA2 based approach will be used to generate the counts data for the amplicon sequence variants (ASVs). Taxonomy assignment will be based on commonly used reference databases. Alpha diversity such as the Shannon index will be calculated for each sample and summarized and evaluated similarly as other continuous endpoints. Between sample composition differences will be assessed based on beta diversity measures such as weighted/unweighted Unifrac and Bray-Curtis distances and evaluated using PERMANOVA type of approaches such as adonis. Differential abundance analysis will be carried out using DESeq2 or a non-parametric approach such as Wilcoxon signed rank test on the data with variance stabilizing transformation.
Change in mean fat free body mass, as determined by DEXA scan, from baseline to 4 and 26 weeks post-randomization.
All participants will receive a DEXA scan at baseline, 4 weeks, and 26 weeks to determine fat free body mass. Average fat free body mass will be calculated for each study arm and compared using a two-way ANOVA.
Change in mean body mass including fat, as determined by DEXA scan, from baseline to 4 and 26 weeks post-randomization.
All participants will receive a DEXA scan at baseline, 4 weeks, and 26 weeks to determine body mass including fat. Average body mass including fat will be calculated for each study arm and compared using a two-way ANOVA.
Change in levels of hemoglobin A1c from baseline to 4, 8, and 26 weeks post-randomization
Hemoglobin A1C is being measured as a marker of insulin resistance. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Change in BMI from baseline to 4, 8, and 26 weeks post-randomization.
Height (in meters) and weight (in kilograms) will be measured at baseline, 4 weeks, 8 weeks, and 26 weeks. BMI (kg/m^2) will be derived from these measures. Average BMI will be calculated for each study arm and compared using a two-way ANOVA.

Full Information

First Posted
July 19, 2022
Last Updated
July 24, 2023
Sponsor
Weill Medical College of Cornell University
Collaborators
Plantable Inc., Prostate Cancer Foundation
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1. Study Identification

Unique Protocol Identification Number
NCT05471414
Brief Title
Whole-Food Plant-Based Diet to Control Weight and MetaboInflammation in Overweight/Obese Men With Prostate Cancer
Acronym
WFPBD
Official Title
Whole-Food Plant-Based Diet (WFPBD) to Control Weight and Metabo-Inflammation in Overweight/Obese Men With Prostate Cancer Receiving Androgen Deprivation Therapy (ADT): A Multi-Center Randomized Control Trial
Study Type
Interventional

2. Study Status

Record Verification Date
July 2023
Overall Recruitment Status
Recruiting
Study Start Date
September 22, 2022 (Actual)
Primary Completion Date
February 2024 (Anticipated)
Study Completion Date
July 2024 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Weill Medical College of Cornell University
Collaborators
Plantable Inc., Prostate Cancer Foundation

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
The study is comparing the effect on weight of providing home-delivered whole-food, plant-based meals versus standard, general nutritional counseling to men with prostate cancer on androgen-deprivation therapy (ADT).
Detailed Description
Prostate cancer is the most common cancer diagnosis for men in the United States. For patients with advanced or recurrent disease, ADT has is the cornerstone of systemic treatment. Overall, almost half of prostate cancer patients will undergo ADT at some point during their treatment. Unfortunately, ADT has metabolic side effects, including weight gain, central adiposity, and insulin resistance. This study is a multi-site randomized phase II trial comparing a home-delivered whole food, plant-based diet (WFPBD) with specialized behavioral coaching to standard dietary intervention with general nutritional counseling to assess the efficacy of a WFPBD in promoting weight loss in overweight/obese men receiving ADT. The home-delivered WFPBD will be for 28 days with 12 meals a week followed by 28 days with 6 meals a week; followed by self-prepared WFPBD for 18 weeks (for a total of 26 weeks). The study hypothesis is that a WFPBD will decrease body weight and decrease systemic metabo-inflammation in overweight/obese men (BMI > 27) with prostate cancer receiving ADT. Secondary objectives will be to assess the effects of a WFPBD on adiposity, markers of inflammation (hsCRP, IL-6), metabolism (insulin, glucose, leptin, adiponectin), and fecal microbiota that may contribute to prostate cancer progression; to assess the effects of a WFPBD on quality of life; and to assess the durability of any observed effect (weight, adiposity, markers of inflammation and metabolism, fecal microbiota) of the intervention after cessation of the meal-delivery service.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Prostate Cancer

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
60 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Whole-food, Plant-based Diet (WFPBD)
Arm Type
Experimental
Arm Description
Home-delivered WFPBD meals will be provided to participants, along with nutritional coaching and education. 12 meals a week will be delivered for the first 4 weeks, followed by 6 meals a week for the next 4 weeks. Finally, for the last 18 weeks they will not receive pre-packed meals, but will continue to receive WFPBD coaching. 30 participants are anticipated to be accrued in this arm.
Arm Title
General Nutrition Counseling
Arm Type
Active Comparator
Arm Description
Participants will receive general nutritional counseling weekly for the first 4 weeks, followed by monthly nutritional counseling for the following 18 weeks. 30 participants are anticipated to be accrued in this arm.
Intervention Type
Behavioral
Intervention Name(s)
Whole-food, Plant-Based Diet
Intervention Description
Pre-packaged, plant-based meals (prepared by Plantable) will be delivered weekly to participants' homes for 8 weeks. Meals are made with whole ingredients including whole grains, vegetables, legumes, nuts and seeds. Added sugar, animal-based products, refined grains, and processed foods are not used in any meal. Participants will be coached via phone calls, SMS, emails, and the app throughout the intervention to prepare meals in accordance with the diet. Participants will have access to a Registered Dietitian. During the first 4 weeks, 12 meals/week will be provided to participants; followed by 6 meals/week for the next 4 weeks; followed by 18 weeks where participants will continue to receive coaching, but will be expected to make all their own whole-food, plant-based meals using Plantable's assistance.
Intervention Type
Behavioral
Intervention Name(s)
General Nutritional Counseling
Intervention Description
All study participants will receive consult with a Registered Dietitian at the Baseline visit and visit 1 study assessments. After visit 1, study participants assigned to the general nutritional counseling arm will receive an additional in-person or telehealth consultation with a Registered Dietitian that will consist of identification and counseling to improve diet quality and achieve a healthy body weight consistent with American Cancer Society guidelines. Study participants in the control group will continue to receive general nutritional counseling and education with weekly scheduled telephone consultations with a Registered Dietitian for the first 4 weeks of the study period. For the remainder of the study period, they will receive counseling and education from Registered Dietitians via monthly scheduled phone calls.
Primary Outcome Measure Information:
Title
Change in weight from baseline to 4 weeks post-randomization
Description
All participates will be weighed at the baseline visit and at 4 weeks. A two-sample t-test will be used to compare the average change in weight (baseline weight minus 4-week weight).
Time Frame
Baseline; 4 weeks post-randomization
Secondary Outcome Measure Information:
Title
Change in levels of serum hsCRP from baseline to 4, 8, and 26 weeks post-randomization
Description
hsCRP is being measured as a marker of inflammation. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of serum IL-6 from baseline to 4, 8, and 26 weeks post-randomization
Description
IL-6 is being measured as a marker of inflammation. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of serum glucose from baseline to 4, 8, and 26 weeks post-randomization
Description
Glucose is being measured as a marker of insulin resistance. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of serum leptin from baseline to 4, 8, and 26 weeks post-randomization
Description
Leptin is being measured as a marker of metabolism. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of serum adiponectin from baseline to 4, 8, and 26 weeks post-randomization
Description
Adiponectin is being measured as a marker of metabolism. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of serum direct LDL from baseline to 4, 8, and 26 weeks post-randomization
Description
Direct LDL is being measured as a marker of cardiovascular risk. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of HDL from baseline to 4, 8, and 26 weeks post-randomization
Description
HDL is being measured as a marker of cardiovascular risk. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of fasting triglycerides from baseline to 4, 8, and 26 weeks post-randomization
Description
Fasting triglycerides are being measured as a marker of cardiovascular risk. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in levels of serum insulin from baseline to 4, 8, and 26 weeks post-randomization
Description
Insulin is being measured as a marker of insulin resistance. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in FACT-P score as an indicator of quality of life from baseline to 4, 8, and 26
Description
The FACT-P is a self-administered questionnaire that asks patients with prostate cancer about well-being in different aspects of life. It provides different statements and patients record how much they agree or disagree on a Likert scale. FACT-P scores will be calculated based on the participant responses to the questionnaire given at baseline, 4 weeks, 8 weeks, and 26 weeks. Scores can range from 0 to 156 with higher scores indicating a higher quality of life. Mean scores for all participants in each arm will be calculated and compared using a two-way ANOVA.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in mean measures of body fat percentage, as determined by DEXA scan, from baseline to 4 and 26 weeks post-randomization
Description
All participants will receive a DEXA scan at baseline, 4 weeks, and 26 weeks to determine body fat percentage. Average body fat percentage will be calculated for each study arm and compared using a two-way ANOVA.
Time Frame
Baseline; 4 weeks and 26 weeks post-randomization
Title
Change in the diversity of the fecal microbiome from baseline to 4 and 26 weeks post-randomization
Description
For the microbiome data obtained through 16S rRNA sequencing, DADA2 based approach will be used to generate the counts data for the amplicon sequence variants (ASVs). Taxonomy assignment will be based on commonly used reference databases. Alpha diversity such as the Shannon index will be calculated for each sample and summarized and evaluated similarly as other continuous endpoints. Between sample composition differences will be assessed based on beta diversity measures such as weighted/unweighted Unifrac and Bray-Curtis distances and evaluated using PERMANOVA type of approaches such as adonis. Differential abundance analysis will be carried out using DESeq2 or a non-parametric approach such as Wilcoxon signed rank test on the data with variance stabilizing transformation.
Time Frame
Baseline; 4 weeks and 26 weeks post-randomization
Title
Change in mean fat free body mass, as determined by DEXA scan, from baseline to 4 and 26 weeks post-randomization.
Description
All participants will receive a DEXA scan at baseline, 4 weeks, and 26 weeks to determine fat free body mass. Average fat free body mass will be calculated for each study arm and compared using a two-way ANOVA.
Time Frame
Baseline; 4 weeks and 26 weeks post-randomization
Title
Change in mean body mass including fat, as determined by DEXA scan, from baseline to 4 and 26 weeks post-randomization.
Description
All participants will receive a DEXA scan at baseline, 4 weeks, and 26 weeks to determine body mass including fat. Average body mass including fat will be calculated for each study arm and compared using a two-way ANOVA.
Time Frame
Baseline; 4 weeks and 26 weeks post-randomization
Title
Change in levels of hemoglobin A1c from baseline to 4, 8, and 26 weeks post-randomization
Description
Hemoglobin A1C is being measured as a marker of insulin resistance. All participants will have a blood draw at baseline, and 4, 8, and 26 week visits. Serum marker levels will be measured in a CLIA-approved laboratory. Graphical displays will be used to illustrate the change in values over time for continuous measures. There will be a line for each patient. A different color will be used for each treatment group. The average at each timepoint for each group will be computed. A two-way ANOVA will be used (or Kruskal-Wallis test if more appropriate) will be used to determine whether there are changes in the measures over time as well as between groups. The first analysis will be to determine whether there is a significant interaction between time and treatment. Subsequent analyses will depend on whether the interaction is statistically significant or not. Effect sizes will be summarized with point estimates and 95% confidence intervals.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization
Title
Change in BMI from baseline to 4, 8, and 26 weeks post-randomization.
Description
Height (in meters) and weight (in kilograms) will be measured at baseline, 4 weeks, 8 weeks, and 26 weeks. BMI (kg/m^2) will be derived from these measures. Average BMI will be calculated for each study arm and compared using a two-way ANOVA.
Time Frame
Baseline; 4, 8, and 26 weeks post-randomization

10. Eligibility

Sex
Male
Gender Based
Yes
Gender Eligibility Description
Male subjects with a diagnosis of prostate cancer
Minimum Age & Unit of Time
45 Years
Maximum Age & Unit of Time
99 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria Histologically or cytologically confirmed adenocarcinoma of the prostate Receiving androgen deprivation therapy (ADT) with an LHRH/GnRH analogue (agonist/antagonist); or have undergone bilateral orchiectomy. Patients with localized prostate cancer, non-metastatic castrate resistant prostate cancer (CRPC), metastatic hormone sensitive prostate cancer and metastatic CRPC are all eligible. On ADT for at least 24 weeks pre-study with anticipation of at least 26 more weeks of therapy from the date of initiation of the dietary intervention Patients receiving an anti-androgen (including, but not limited to drugs such as bicalutamide, abiraterone, enzalutamide or apalutamide) are eligible if they have been on therapy for at least 3 months and plan to continue for the duration of the study At least 3 months post completion of chemotherapy and/or radiation Bone resorptive agents such as bisphosphanates and denosumab are allowed. Testosterone level <50 ng/dL Age ≥ 45 years BMI ≥ 27 ECOG performance status of 0 to 1 Adequate organ and marrow function, based upon meeting all of the following laboratory criteria: White blood cell count ≥ 2500/mm3 (≥ 2.5 GI/L) Platelets ≥ 100,000/mm3 (≥ 100 GI/L) without transfusion Hemoglobin ≥ 9 g/dL (≥ 90 g/L) Alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin ≤ 2x ULN (or for subjects with Gilbert's disease direct bilirubin WNL) Serum albumin ≥ 2.8 g/dl Willingness and ability to comply with all study-related procedures Capable of understanding and complying with the protocol requirements and must have signed the informed consent document Exclusion Criteria Insulin-dependent diabetes mellitus Nut or legume allergy, gluten intolerance or celiac disease Currently consuming a vegetarian or vegan diet Concurrent participation in other nutrition or weight loss programs Expected changes in chronic medications, including statins or oral diabetes medication during the study period (including a change in medication dosage) Expected radiation, chemotherapy, bone resorptive agents or anti-androgen within 2 months of beginning the diet intervention Expected changes in exercise patterns during the study period Psychiatric illnesses or social situations that would limit compliance with study requirements, including a living situation that does not allow for the delivery of Plantable prepared meals, or the inability or lack of equipment to perform basic cooking tasks Known history of electrolyte imbalance or micronutrient deficiency, e.g., magnesium, cobalamin Ongoing use of warfarin anticoagulants Diagnosed, active inflammatory bowel disease Inability to receive Emails or have a smart phone
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
GUONC Research Team
Phone
212-746-1480
Email
guonc@med.cornell.edu
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
David M Nanus, MD
Organizational Affiliation
Weill Medical College of Cornell University
Official's Role
Principal Investigator
Facility Information:
Facility Name
Johns Hopkins Sidney Kimmel Comprehensive Cancer Center
City
Baltimore
State/Province
Maryland
ZIP/Postal Code
21231
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Channing Paller, M.D.
Phone
202-660-6501
Email
cpaller1@jhmi.edu
First Name & Middle Initial & Last Name & Degree
Channing Paller, MD
Facility Name
Weill Cornell Medicine
City
New York
State/Province
New York
ZIP/Postal Code
10021
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
David Nanus, M.D.
Phone
646-962-2072
Email
dnanus@med.cornell.edu
First Name & Middle Initial & Last Name & Degree
Sarah Yuan
Email
say7001@med.cornell.edu
First Name & Middle Initial & Last Name & Degree
David Nanus, M.D.
Facility Name
Columbia University Medical Center
City
New York
State/Province
New York
ZIP/Postal Code
10032
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Mark Stein
Phone
212-305-5874
Email
mns2146@cumc.columbia.edu
First Name & Middle Initial & Last Name & Degree
Mark Stein, MD

12. IPD Sharing Statement

Plan to Share IPD
No

Learn more about this trial

Whole-Food Plant-Based Diet to Control Weight and MetaboInflammation in Overweight/Obese Men With Prostate Cancer

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