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Correlative Analysis of the Genomics of Vitamin D and Omega-3 Fatty Acid Intake in Prostate Cancer

Correlative Analysis of the Genomics of Vitamin D and Omega-3 Fatty Acid Intake in Men Managed With Active Surveillance for Prostate Cancer

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03290417
Enrollment
37
Registered
2017-09-21
Start date
2017-09-07
Completion date
2019-12-20
Last updated
2020-02-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate Cancer

Keywords

Active Surveillance, Vitamin D, Omega-3 Fatty Acid, tumeric curcumin

Brief summary

The purpose of this study is to see if eating vitamin D, omega 3 and turmeric (curcumin) slows the growth of prostate cancer in men on active surveillance.

Detailed description

The primary objective is to investigate the influence of vitamin D, omega-3 fatty acids, and turmeric curcumin intake on the genomic landscape of NCCN very low and low risk patients managed with Active Surveillance. This will be measured by using genomic signatures in Decipher GRID and using the mixed effect linear model that tests for the interaction of treatment arm and time (base-line, 6 month and 12 month time points) with gene expression as the response variable. The secondary objective is to evaluate prostate cancer aggressiveness pre and post intervention by looking at genes and gene signatures associated with vitamin D and omega-3 fatty acids pathways. Prognostic performance of GRID gene signatures will be evaluated using Active Surveillance 'Failure' (deferred treatment) as an additional endpoint. The exploratory objective is to be able to use predictive genes and/or genomic signatures to assess benefit from vitamin D, omega-3 fatty acid and turmeric curcumin intake. This will only be possible once sufficient patient follow up is available.

Interventions

DIETARY_SUPPLEMENTVitamin D

5000 IU/cap; One cap by mouth daily

DIETARY_SUPPLEMENTOmega-3

720 mg/cap; one capsule by mouth 3 times per day

DIETARY_SUPPLEMENTTurmeric

250mg/cap; two capsules by mouth 4 times per day

Sponsors

Case Comprehensive Cancer Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Intervention model description

Parallel groups, one with a control diet, the other with a modified diet

Eligibility

Sex/Gender
MALE
Healthy volunteers
No

Inclusion criteria

* Subjects must have the diagnosis of prostate cancer and be on active surveillance. For the purpose of this study, Active surveillance implies prostate-specific antigen (PSA)\<10 ng/mL, biopsy Gleason sum \</=6 with no pattern 4 or 5, cancer involvement of \<33% of biopsy cores, and clinical stage T1/T2a tumor. * Subjects must be followed at the Cleveland Clinic for active surveillance. * Subjects must be willing to adhere to the dietary modification outlined in the protocol. * Subjects must be willing to have prostate biopsies at the baseline, and six months after enrollment into the protocol * Subjects must have the ability to understand and the willingness to sign a written informed consent document.

Exclusion criteria

* Subjects receiving any treatment other than AS for prostate cancer. * Subjects not followed by the Cleveland Clinic. * Subjects unable to adhere to the dietary modification outlined in the protocol.

Design outcomes

Primary

MeasureTime frameDescription
gene expression of very low and low risk prostate cancer patients on Active SurveillanceUp to 6 monthsThe primary objective is to investigate the influence of vitamin D, omega-3 fatty acids, and turmeric curcumin intake on the genomic landscape of NCCN very low and low risk patients managed with Active Surveillance. This will be measured by using genomic signatures in Decipher GRID and using the mixed effect linear model that tests for the interaction of treatment arm and time

Secondary

MeasureTime frameDescription
Active Surveillance FailureUp to 12 monthsCox proportional hazards model will be used to study if genes are significantly predictive of this outcome. P-values will be corrected for multiple testing using the Benjamini-Hochberg procedure. Genes will be considered significant if the corresponding p-value is below 0.05 using a two-sided test.
Time to Active Surveillance FailureUp to 12 monthsTime to event will be defined as time from enrollment into the study. P-values will be corrected for multiple testing using the Benjamini-Hochberg procedure.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026