Zandvliet Anthe S, Huitema Alwin D R, Copalu William, Yamada Yasuhide, Tamura Tomohide, Beijnen Jos H, Schellens Jan H M
Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute/Slotervaart Hospital, Amsterdam, the Netherlands.
Clin Cancer Res. 2007 May 15;13(10):2970-6. doi: 10.1158/1078-0432.CCR-06-2978.
The anticancer agent indisulam is metabolized by the cytochrome P450 of enzymes CYP2C9 and CYP2C19. Polymorphisms of these enzymes may affect the elimination rate of indisulam. Consequently, variant genotypes may be clinically relevant predictors for the risk of developing severe hematologic toxicity. The purposes of this study were to evaluate the effect of genetic variants of CYP2C9 and CYP2C19 on the pharmacokinetics of indisulam and on clinical outcome and to assess the need for pharmacogenetically guided dose adaptation.
Pharmacogenetic screening of CYP2C polymorphisms was done in 67 patients treated with indisulam. Pharmacokinetic data were analyzed with a population pharmacokinetic model, in which drug elimination was described by a linear and a Michaelis-Menten pathway. The relationships between allelic variants and the elimination pharmacokinetic parameters (CL, V(max), K(m)) were tested using nonlinear mixed-effects modeling. Polymorphisms causing a high risk of dose-limiting neutropenia were identified in a simulation study.
The Michaelis-Menten elimination rate (V(max)) was decreased by 27% (P<0.0001) for heterozygous CYP2C93 mutants. Heterozygous CYP2C192 and CYP2C19*3 mutations reduced the linear elimination rate (CL) by 38% (P < 0.0001). The risk of severe neutropenia was significantly increased by these mutations and dose reductions of 50 to 100 mg/m(2) per mutated allele may be required to normalize this risk.
CYP2C93, CYP2C192, and CYP2C19*3 polymorphisms resulted in a reduced elimination rate of indisulam. Screening for these CYP2C polymorphisms and subsequent pharmacogenetically guided dose adaptation may assist in the selection of an optimized initial indisulam dosage.
抗癌药物因迪舒拉姆由细胞色素P450酶CYP2C9和CYP2C19代谢。这些酶的多态性可能会影响因迪舒拉姆的消除率。因此,变异基因型可能是发生严重血液学毒性风险的临床相关预测指标。本研究的目的是评估CYP2C9和CYP2C19基因变异对因迪舒拉姆药代动力学和临床结局的影响,并评估药物遗传学指导剂量调整的必要性。
对67例接受因迪舒拉姆治疗的患者进行了CYP2C多态性的药物遗传学筛查。药代动力学数据采用群体药代动力学模型进行分析,其中药物消除通过线性和米氏途径进行描述。使用非线性混合效应模型测试等位基因变异与消除药代动力学参数(清除率CL、最大消除速率V(max)、米氏常数K(m))之间的关系。在模拟研究中确定了导致剂量限制性中性粒细胞减少高风险的多态性。
杂合型CYP2C93突变体的米氏消除速率(V(max))降低了27%(P<0.0001)。杂合型CYP2C192和CYP2C19*3突变使线性消除速率(CL)降低了38%(P < 0.0001)。这些突变显著增加了严重中性粒细胞减少的风险,每个突变等位基因可能需要将剂量降低50至100 mg/m²才能使该风险正常化。
CYP2C93、CYP2C192和CYP2C19*3多态性导致因迪舒拉姆的消除率降低。筛查这些CYP2C多态性并随后进行药物遗传学指导的剂量调整可能有助于选择优化的因迪舒拉姆初始剂量。