Marcath Lauren A, Deal Allison M, Van Wieren Emily, Danko William, Walko Christine M, Ibrahim Joseph G, Weck Karen E, Jones David R, Desta Zeruesenay, McLeod Howard L, Carey Lisa A, Irvin William J, Hertz Daniel L
aDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan bUNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina cDeBartolo Family Personalized Medicine Institute, Moffitt Cancer Center, Tampa, Florida dDepartment of Clinical Pharmacology, Indiana University, Indianapolis, Indiana eBon Secours Cancer Institute, Richmond, Virginia, USA.
Pharmacogenet Genomics. 2017 Nov;27(11):402-409. doi: 10.1097/FPC.0000000000000311.
Tamoxifen bioactivation to endoxifen is mediated primarily by CYP2D6; however, considerable variability remains unexplained. Our aim was to perform a comprehensive assessment of the effect of genetic variation in tamoxifen-relevant enzymes and transporters on steady-state endoxifen concentrations.
Comprehensive genotyping of CYP enzymes and transporters was performed using the iPLEX ADME PGx Pro Panel in 302 tamoxifen-treated breast cancer patients. Predicted activity phenotype for 19 enzymes and transporters were analyzed for univariate association with endoxifen concentration, and then adjusted for CYP2D6 and clinical covariates.
In univariate analysis, higher activity of CYP2C8 (regression β=0.22, P=0.020) and CYP2C9 (β=0.20, P=0.04), lower body weight (β=-0.014, P<0.0001), and endoxifen measurement during winter (each β<-0.39, P=0.002) were associated with higher endoxifen concentrations. After adjustment for the CYP2D6 diplotype, weight, and season, CYP2C9 remained significantly associated with higher concentrations (P=0.02), but only increased the overall model R by 1.3%.
Our results further support a minor contribution of CYP2C9 genetic variability toward steady-state endoxifen concentrations. Integration of clinician and genetic variables into individualized tamoxifen dosing algorithms would marginally improve their accuracy and potentially enhance tamoxifen treatment outcomes.
他莫昔芬生物活化生成内昔芬主要由CYP2D6介导;然而,仍有相当一部分变异性无法解释。我们的目的是全面评估他莫昔芬相关酶和转运蛋白的基因变异对稳态内昔芬浓度的影响。
使用iPLEX ADME PGx Pro Panel对302例接受他莫昔芬治疗的乳腺癌患者进行CYP酶和转运蛋白的全面基因分型。分析19种酶和转运蛋白的预测活性表型与内昔芬浓度的单变量关联,然后针对CYP2D6和临床协变量进行调整。
在单变量分析中,CYP2C8活性较高(回归β=0.22,P=0.020)和CYP2C9活性较高(β=0.20,P=0.04)、体重较低(β=-0.014,P<0.0001)以及冬季进行内昔芬测量(各β<-0.39,P=0.002)与较高的内昔芬浓度相关。在对CYP2D6双倍型、体重和季节进行调整后,CYP2C9仍与较高浓度显著相关(P=0.02),但仅使总体模型R增加了1.3%。
我们的结果进一步支持CYP2C9基因变异对稳态内昔芬浓度的贡献较小。将临床医生和基因变量整合到个体化他莫昔芬给药算法中只会略微提高其准确性,并可能改善他莫昔芬的治疗效果。