Pharmacokinetic analysis of tamoxifen metabolites in premenopausal women with early breast cancer: A substudy of NCIC CTG MA.12 randomized clinical trial.

Authors

null

Shahbal Bill Kangarloo

Alberta Health Services, Tom Baker Cancer Centre, Calgary, AB, Canada

Shahbal Bill Kangarloo , Ella S.M. Ng , Vivien H.C. Bramwell , Kathleen I. Pritchard , Lois E. Shepherd , Dongsheng Tu , Anthony M. Magliocco , Patricia A. Tang

Organizations

Alberta Health Services, Tom Baker Cancer Centre, Calgary, AB, Canada, Tom Baker Cancer Centre, Calgary, AB, Canada, Sunnybrook Odette Cancer Centre and the University of Toronto, Toronto, ON, Canada, NCIC Clinical Trials Group, Queen's University, Kingston, ON, Canada, NCIC Clinical Trials Group, Kingston, ON, Canada, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, Tom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada

Research Funding

No funding sources reported

Background: The clinical impact of CYP2D6 genetic polymorphisms on tamoxifen (Tam) remains unclear. Active metabolite levels of Tam can be influenced by drug interaction and compliance. This study evaluated the association of steady state plasma levels of Tam and its metabolites with clinical outcomes in samples collected in MA.12. Premenopausal women (n=672) with high risk node negative and node positive breast cancer following adjuvant chemotherapy were randomized to Tam or placebo. There was an improvement in DFS (HR 0.77; p=0.056) but not OS (HR 0.78; p=0.12) favoring Tam. Methods: TAM, N-desmethyl-tamoxifen (NDM), 4-hydroxy-tamoxifen (4-OH), and endoxifen (Endo) were quantified in serum by liquid chromatography–tandem mass spectrometry. Samples collected after 120 days on Tam were analyzed, (n=121 Tam, n=121 Placebo). Exploratory analyses assessed the association of DFS and OS with each metabolite level, as a continuous variable, as well as a categorical variable using an optimal cut point. Cut points were determined using the minimum p-value. Factors associated with DFS or OS were evaluated in a multivariate Cox model adjusting for age, performance status, chemotherapy, receptor status, nodal status, histology and tumor stage. Results: Baseline characteristics of the substudy were similar to the full trial population. Descriptive metabolite levels in the Tam cohort are listed in the Table. There was no crossover at 120 days. As a continuous measure, none of the metabolite values were significantly correlated with DFS or OS. As a categorical variable, only 4-OH was associated with clinical outcomes. In a multivariate Cox model, the optimal 4-OH cutpoint (1.72 ng/mL) was significantly correlated with 5 year DFS HR 0.30 [95% CI(0.10-0.95), p=0.04)] and 5 year OS HR 0.21 [95% CI(0.05-0.93), p=0.04]. Conclusions: In this exploratory, hypothesis generating analysis of MA.12, wide ranges in serum concentrations of Tam metabolites were observed. Only 4-OH levels were associated with clinical outcomes.

Metabolite Mean serum [ng/mL], (range) % Coefficient of variance
NDM 126.6, (0.61-293.1) 50.2 %
4-OH 1.47, (0-4.26) 56.9 %
Endo 16.6, (0-52.7) 65.9 %

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Abstract Details

Meeting

2014 ASCO Annual Meeting

Session Type

Poster Highlights Session

Session Title

Cancer Prevention/Epidemiology

Track

Cancer Prevention/Epidemiology

Sub Track

Cancer Genetics

Citation

J Clin Oncol 32:5s, 2014 (suppl; abstr 1524)

DOI

10.1200/jco.2014.32.15_suppl.1524

Abstract #

1524

Poster Bd #

13

Abstract Disclosures