Division of Clinical Pharmacology, Department of Medicine, University of Western Ontario, London, ON, Canada.
Breast Cancer Res Treat. 2013 May;139(1):95-105. doi: 10.1007/s10549-013-2511-4. Epub 2013 Apr 12.
Tamoxifen is a widely utilized adjuvant anti-estrogen agent for hormone receptor-positive breast cancer, known to undergo CYP2D6-mediated bioactivation to endoxifen. However, little is known regarding additional genetic and non-genetic determinants of optimal endoxifen plasma concentration. Therefore, 196 breast cancer patients on tamoxifen were enrolled in this prospective study over a 24-month period. Blood samples were collected for pharmacogenetic and drug-level analysis of tamoxifen and metabolites. Regression analysis indicated that besides CYP2D6, the recently described CYP3A422 genotype, seasonal variation, and concomitant use of CYP2D6-inhibiting antidepressants were significant predictors of endoxifen concentration. Of note, genetic variation explained 33 % of the variability while non-genetic variables accounted for 13 %. Given the proposed notion of a sub-therapeutic endoxifen concentration for predicting breast cancer recurrence, we set the therapeutic threshold at 18 nM, the 20th percentile for endoxifen level among enrolled patients in this cohort. Nearly 70 % of CYP2D6 poor metabolizers as well as extensive metabolizers on potent CYP2D6-inhibiting antidepressants exhibited endoxifen levels below 18 nM, while carriers of CYP3A422 were twofold less likely to be in sub-therapeutic range. Unexpectedly, endoxifen levels were 20 % lower during winter months than mean levels across seasons, which was also associated with lower vitamin D levels. CYP3A4*22 genotype along with sunshine exposure and vitamin D status may be unappreciated contributors of tamoxifen efficacy. The identified covariates along with demographic variables were integrated to create an endoxifen concentration prediction algorithm to pre-emptively evaluate the likelihood of individual patients falling below the optimal endoxifen concentration.
他莫昔芬是一种广泛应用于激素受体阳性乳腺癌的辅助抗雌激素药物,已知其经 CYP2D6 介导的生物转化为内消旋他莫昔芬。然而,关于最佳内消旋他莫昔芬血浆浓度的其他遗传和非遗传决定因素知之甚少。因此,在 24 个月的时间里,我们对 196 名正在服用他莫昔芬的乳腺癌患者进行了这项前瞻性研究。采集血样进行他莫昔芬及其代谢物的药物遗传学和药物水平分析。回归分析表明,除了 CYP2D6 外,最近描述的 CYP3A422 基因型、季节性变化和同时使用 CYP2D6 抑制性抗抑郁药也是内消旋他莫昔芬浓度的重要预测因子。值得注意的是,遗传变异解释了 33%的可变性,而非遗传变量占 13%。鉴于内消旋他莫昔芬浓度预测乳腺癌复发的治疗阈值概念,我们将治疗阈值设定为 18 nM,这是该队列中纳入患者内消旋他莫昔芬水平的第 20 百分位。近 70%的 CYP2D6 弱代谢者和同时使用强效 CYP2D6 抑制性抗抑郁药的广泛代谢者的内消旋他莫昔芬水平低于 18 nM,而 CYP3A422 的携带者处于治疗范围以下的可能性低两倍。出乎意料的是,冬季的内消旋他莫昔芬水平比整个季节的平均水平低 20%,这也与维生素 D 水平较低有关。CYP3A4*22 基因型以及阳光照射和维生素 D 状态可能是他莫昔芬疗效的未被重视的因素。确定的协变量与人口统计学变量一起整合到内消旋他莫昔芬浓度预测算法中,以预先评估个别患者低于最佳内消旋他莫昔芬浓度的可能性。