Cholecalciferol
Dietary SupplementGiven PO
Other names: 9,10-Secocholesta-5,7,10(19)-trien-3-ol, Calciol, Delsterol, Vitamin D3
NCT Number: NCT01787409
This partially randomized clinical trial studies cholecalciferol in improving survival in patients with newly diagnosed cancer with vitamin D insufficiency. Vitamin D replacement may improve tumor response and survival and delay time to treatment in patients with cancer who are vitamin D insufficient.
This study is active but is not currently recruiting participants.
Notify Me18 year and older
All sexes
Interventional
Not applicable
Mayo Clinic in Arizona, Scottsdale, Arizona, United States
PRIMARY OBJECTIVES:
I. To determine if vitamin D replacement in vitamin D insufficient patients with newly diagnosed untreated diffuse large B-cell lymphoma (DLBCL) can improve event free survival at 12 months to be equivalent to that of a control population of vitamin D sufficient patients. (Study I) II. To assess the percentage of patients requiring treatment with conventional therapy at 36 in months in vitamin D insufficient patients with early stage chronic lymphocytic leukemia (CLL) being managed with observation who undergo vitamin D replacement. (Study II)
SECONDARY OBJECTIVES:
I. To assess the effect of vitamin D replacement in vitamin D insufficient patients with newly diagnosed untreated DLBCL on overall survival. (Study I) II. To assess the effect of vitamin D replacement in vitamin D insufficient patients with newly diagnosed untreated DLBCL on event free survival. (Study I) III. To assess the effect of vitamin D replacement in vitamin D insufficient patients with newly diagnosed untreated T cell lymphoma on event free and overall survival. (Study I) IV. To assess the effect of vitamin D replacement in vitamin D insufficient CLL patients on Bio-r response rate and overall response rate. (Study II) V. To assess time to treatment and overall survival in vitamin D insufficient CLL patients who received vitamin D replacement. (Study II)
TERTIARY OBJECTIVES:
I. To study immune effector cells (lymphocytes, monocytes), serum cytokines, and tumor cells from vitamin D deficient and sufficient patients to learn the effects of vitamin D on both tumor cells and the patient's immune system. (Study I-II)
OUTLINE:
Vitamin D sufficient patients receive no intervention. Vitamin D insufficient patients receive cholecalciferol orally (PO) once weekly for 12 weeks and then once monthly for a total of 36 months.
After completion of study treatment, patients are followed up for 2 years.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Given PO
Other names: 9,10-Secocholesta-5,7,10(19)-trien-3-ol, Calciol, Delsterol, Vitamin D3
Correlative studies
Time frame: Time from study registration to lymphoma progression, initiation of new anti-lymphoma therapy after completion or cessation of the original anthracycline based treatment, or death due to any cause, assessed at 12 months
The proportion of successes will be estimated separately in the groups by the number of successes divided by the total number of evaluable patients. 95% confidence intervals for the true success proportion will be calculated by the exact binomial method.
Time frame: At 36 months
The proportion of successes will be estimated separately in the groups by the number of successes divided by the total number of evaluable patients. 95% confidence intervals for the true success proportion will be calculated by the exact binomial method.
Time frame: Up to 5 years
Bio-R response rate will be calculated as the number of patients with Bio-R response divided by the number of evaluable patients. If a sufficient number of Bio-R responses are seen, differences in Bio-R rate between the two study groups will be evaluated using Fisher's exact test.
Time frame: From study registration to lymphoma progression, initiation of new anti-lymphoma therapy after completion or cessation of the original anthracycline based treatment, or death due to any cause, assessed up to 5 years
The distribution of event-free survival time in each group will be estimated using the method of Kaplan-Meier. Differences between the groups will be evaluated using Cox proportional hazard models.
Time frame: From registration to death due to any cause, assessed up to 5 years
The distribution of survival time will be estimated using the method of Kaplan-Meier. Differences between the groups will be evaluated using Cox proportional hazard models. These models will be assessed both unadjusted and adjusted for Rai stage and FISH [favorable (13q-, +12, no abnormalities) vs. unfavorable (11q-, 17p-)].
Time frame: Up to 5 years
Exact binomial 95% confidence intervals for the true overall response rate will be calculated. If a sufficient number of responses are seen, differences in overall response rate between the two study groups will be evaluated using Fisher's exact test.
Time frame: From registration to death due to any cause, assessed up to 5 years
The distribution of survival time will be estimated using the method of Kaplan-Meier. Differences between the groups will be evaluated using Cox proportional hazard models. These models will be assessed both unadjusted and adjusted for Rai stage and FISH [favorable (13q-, +12, no abnormalities) vs. unfavorable (11q-, 17p-)].
Time frame: From study registration to initiation of anti-CLL therapy, assessed up to 5 years
The distribution of time to first treatment will be estimated using the method of Kaplan-Meier. Differences between the two study groups will be evaluated using Cox proportional hazard models. These models will be assessed both unadjusted and adjusted for Rai stage and FISH [favorable (13q-, +12, no abnormalities) vs. unfavorable (11q-, 17p-)].
Time frame: Baseline
Analysis will be primarily hypothesis generating and of a discovery nature. Gene expression will be compared to on-study vitamin D levels using Spearman correlation to look for associations between genes and Vitamin D. Gene expression will also be compared to polymorphisms in VDR using logistic regression to look for associations of host-genetics in the VDR region and general gene function in tumor.
Time frame: Up to 36 months
On-study regulatory T cells (Treg) and monocyte levels will be compared between sufficient and insufficient patients using Wilcoxon rank sum tests for each subtype. The pre and post-replacement levels will be assessed in CLL patients receiving replacement to look for a reduction in Tregs and monocytes, using a one-sample t-test on the difference testing for a mean of zero.
Time frame: Up to 36 months
A five-parameter regression formula will be used to calculate the sample concentrations from the standard curves and a change of 50% from the baseline value will be considered significant. Changes in all 30 cytokines in the kit will be evaluated with a focus on the tumor specific cytokines. In patients with abnormal cytokines, the pre and post-replacement cytokine level will be compared in patients receiving replacement to similar timepoints in patients not receiving replacement. The change in cytokine levels (post-pre) will be evaluated between the two groups using Wilcoxon rank sum tests.
Time frame: Up to 36 months
All analyses will be performed separately for each lymphoma subtype. Individual vitamin D receptor (VDR) SNPs will be evaluated using a co-dominant model. Principal components will be used to generate a gene level assessment of VDR variability. Host genetic VDR markers will be compared to onstudy vitamin D levels to look for association between VDR polymorphisms and vitamin D stores using logistic regression. Host genetic VDR markers will be compared to outcome (time to first treatment [TFT], EFS, OS) using Cox regression models.
Time frame: Baseline
The results will be expressed as present or absent. In the case of immunohistochemistry for DLBCL, expression may be graded as 0-3+. In the case of CLL, the % cells positive will be reported. VDR expression from the tumor will be reported using summary tables. Expression will be compared with outcome (TFT, EFS, OS) using Cox models to examine if VDR expression is prognostic in these tumors. VDR expression will also be compared to polymorphisms in VDR using logistic regression or chi-square tests to look for associations of host-genetics in the VDR region and VDR function in tumor.
Mayo Clinic
Other
Effect of Vitamin D Replacement on Tumor Response and Survival Parameters for Vitamin D Insufficient Patients With Cancer
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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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