- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05525481
Tamoxifen Prediction Study in Patients With ER+ Breast Cancer (PREDICTAM)
Predicting an Accurate Tamoxifen Dose: a Feasibility Study in Patients With Hormone Sensitive Breast Cancer
Study Overview
Detailed Description
Tamoxifen, a selective estrogen receptor modulator, is currently the standard-of-care adjuvant treatment of breast cancer. Tamoxifen is a prodrug and particularly exerts its effect through its most active metabolite endoxifen. Cytochrome P450 (CYP) enzymes, in particular CYP2D6, convert tamoxifen to endoxifen. Polymorphisms in the CYP2D6 gene can hamper CYP2D6 activity and subsequently lead to decreased concentrations of endoxifen. Madlensky et al. found a direct association between endoxifen concentrations and breast cancer recurrence in a retrospective cohort. Patients with endoxifen concentrations below 16 nmol/L had a 30% higher risk of breast cancer recurrence than patients with endoxifen concentrations above this threshold. Madlensky et al. also found that CYP2D6 intermediate- and poor metabolizer phenotypes were associated with endoxifen levels below the 16 nmol/L threshold. The association between CYP2D6 phenotypes and endoxifen levels has since been confirmed by several other studies. In several retrospective studies, approximately 20-24% of tamoxifen patients do not reach the 16 nmol/L endoxifen threshold at steady state. Therapeutic drug monitoring (TDM) could be used to increase the probability of reaching this threshold to 89% after 6 months. With TDM, the dose is corrected after reaching steady state and patients are often only adequately treated after 3 to 6 months. To counter this problem and predict the correct tamoxifen dose at baseline, model-informed precision dosing (MIPD) could be used. In prior research at the Erasmus MC a population-pharmacokinetic (POP-PK) model has been developed. POP-PK-modeling is a mathematical modeling technique that describes the pharmacokinetics of a drug for each individual based on patient characteristics. A POPPK model can describe and predict the absorption, distribution, metabolism and elimination of a drug in the body and predict blood concentration-time profiles prior to actual administration of the drug. In previous, not yet published research we have developed a POP-PK model to describe tamoxifen and endoxifen pharmacokinetics. In this model we have evaluated the activity of different single nucleotide polymorphisms (SNP's) on a continuous scale. In addition the concomitant administration of CYP3A4 and CYP2D6 inhibitors influenced endoxifen formation. Whereas age significantly influenced tamoxifen clearance, BMI and height affected the endoxifen formation rate and tamoxifen clearance respectively.
After careful retrospective validation the validity of our model can be tested by prospectively predicting the best dose for each patient. Using Monte-Carlo simulations we estimated that when using the standard dose of 20 mg tamoxifen, 23% of all patients will not reach endoxifen steady-state concentration >16 nM. Using model-informed precision dosing, the proportion of patients that reach steady-state endoxifen concentrations above 16 nmol/L will be 91%. Out of these final 9%, 66% of all patients will not reach 16 nM using the highest registered dose of 40 mg. If the POP-PK model could adequately identify this patient group, that will not reach the 16 nM threshold with the highest prescribed dose of 40 mg, they could in the future be treated differently from the start of adjuvant therapy. An example of this are aromatase inhibitors.
The primary aim of this study is to increase the proportion of patients that reach an endoxifen level of 16 nM after reaching steady state endoxifen plasma concentrations using MIPD. In this study we will be prospectively validating a POP-PK model and evaluate the feasibility of MIPD for routine clinical use.
Study Type
Enrollment (Estimated)
Phase
- Phase 4
Contacts and Locations
Study Contact
- Name: Ruben van Nijnatten
- Phone Number: 0683995382
- Email: r.vannijnatten@erasmusmc.nl
Study Locations
-
-
Zuid-Holland
-
Rotterdam, Zuid-Holland, Netherlands, 3065NB
- Recruiting
- Erasmus MC
-
Contact:
- Ruben van Nijnatten
- Phone Number: +31683995382
- Email: rubenvnijnatten@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age ≥ 18 years;
- WHO Performance Status ≤ 1 (see Appendix A);
- Patients with primary breast cancer, with a prescription for adjuvant tamoxifen treatment;
- Willing to abstain from strong and moderate CYP3A4 or CYP2D6 inhibitors or inducers, according to: CYTOCHROME P450 DRUG INTERACTION TABLE - Drug Interactions (iu.edu);
- Able and willing to sign the Informed Consent Form;
- Able and willing to undergo blood sampling for PK analysis.
Exclusion Criteria:
- Patients with known alcoholism, drug addiction and/or psychiatric or physiological condition which in the opinion of the investigator would impair treatment compliance;
- > 2 weeks of tamoxifen treatment before inclusion;
- Patients who's endoxifen levels have been used for therapeutic drug monitoring in the past.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention arm
This is a single-arm trial.
We only have one experimental arm.
The control arm will be provided by another study.
|
Hormone therapy
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Primary endpoint
Time Frame: Begin-end (3 months)
|
The primary endpoint is the proportion of patients who reach an endoxifen level of 16 nmol/L or higher.
|
Begin-end (3 months)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Secondary outcome 2
Time Frame: Begin-end (3 months)
|
The predictive value of the POP-PK model for patients who do not reach the 16 nmol/L endoxifen threshold with the highest prescribed tamoxifen dose of 40 mg.
|
Begin-end (3 months)
|
|
Secondary outcome 3
Time Frame: Begin-end (3 months)
|
The correlation between the endoxifen values from an early blood sample (4-6 weeks after start of treatment) and the steady-state concentration of endoxifen.
|
Begin-end (3 months)
|
|
Secondary outcome 4
Time Frame: Begin-end (3 months)
|
The difference in incidence of side-effects and quality of life between baseline and 3 months after tamoxifen treatment as determined by FACT-ES questionnaires.
|
Begin-end (3 months)
|
|
Secondary outcome 1
Time Frame: Begin-end (3 months)
|
The total success rate (> 16 nmol/L and < 32 nmol/L) of the POP-PK model as well as in different groups, stratified by dosage as predicted by the POP-PK model.
|
Begin-end (3 months)
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Skin Diseases
- Neoplasms
- Neoplasms by Site
- Breast Diseases
- Breast Neoplasms
- Physiological Effects of Drugs
- Antineoplastic Agents
- Hormones, Hormone Substitutes, and Hormone Antagonists
- Antineoplastic Agents, Hormonal
- Hormone Antagonists
- Bone Density Conservation Agents
- Estrogen Antagonists
- Selective Estrogen Receptor Modulators
- Estrogen Receptor Modulators
- Tamoxifen
Other Study ID Numbers
- NL81896.078.22
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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