Innocenti Federico, Kroetz Deanna L, Schuetz Erin, Dolan M Eileen, Ramírez Jacqueline, Relling Mary, Chen Peixian, Das Soma, Rosner Gary L, Ratain Mark J
The University of Chicago, Chicago, IL 60637, USA.
J Clin Oncol. 2009 Jun 1;27(16):2604-14. doi: 10.1200/JCO.2008.20.6300. Epub 2009 Apr 6.
We aim to identify genetic variation, in addition to the UGT1A1*28 polymorphism, that can explain the variability in irinotecan (CPT-11) pharmacokinetics and neutropenia in cancer patients.
Pharmacokinetic, genetic, and clinical data were obtained from 85 advanced cancer patients treated with single-agent CPT-11 every 3 weeks at doses of 300 mg/m(2) (n = 20) and 350 mg/m(2) (n = 65). Forty-two common variants were genotyped in 12 candidate genes of the CPT-11 pathway using several methodologies. Univariate and multivariate models of absolute neutrophil count (ANC) nadir and pharmacokinetic parameters were evaluated.
Almost 50% of the variation in ANC nadir is explained by UGT1A193, ABCC1 IVS11 -48C>T, SLCO1B11b, ANC baseline levels, sex, and race (P < .0001). More than 40% of the variation in CPT-11 area under the curve (AUC) is explained by ABCC2 -24C>T, SLCO1B15, HNF1A 79A>C, age, and CPT-11 dose (P < .0001). Almost 30% of the variability in SN-38 (the active metabolite of CPT-11) AUC is explained by ABCC1 1684T>C, ABCB1 IVS9 -44A>G, and UGT1A193 (P = .004). Other models explained 17%, 23%, and 27% of the variation in APC (a metabolite of CPT-11), SN-38 glucuronide (SN-38G), and SN-38G/SN-38 AUCs, respectively. When tested in univariate models, pretreatment total bilirubin was able to modify the existing associations between genotypes and phenotypes.
On the basis of this exploratory analysis, common polymorphisms in genes encoding for ABC and SLC transporters may have a significant impact on the pharmacokinetics and pharmacodynamics of CPT-11. Confirmatory studies are required.
除UGT1A1*28多态性外,我们旨在鉴定可解释癌症患者中伊立替康(CPT-11)药代动力学和中性粒细胞减少变异性的基因变异。
药代动力学、遗传学和临床数据来自85例晚期癌症患者,这些患者每3周接受一次单药CPT-11治疗,剂量为300mg/m²(n = 20)和350mg/m²(n = 65)。使用多种方法对CPT-11途径的12个候选基因中的42个常见变异进行基因分型。评估了绝对中性粒细胞计数(ANC)最低点和药代动力学参数的单变量和多变量模型。
ANC最低点近50%的变异性可由UGT1A193、ABCC1 IVS11 -48C>T、SLCO1B11b、ANC基线水平、性别和种族解释(P <.0001)。CPT-11曲线下面积(AUC)超过40%的变异性可由ABCC2 -24C>T、SLCO1B15、HNF1A 79A>C、年龄和CPT-11剂量解释(P <.0001)。SN-38(CPT-11的活性代谢物)AUC近30%的变异性可由ABCC1 1684T>C、ABCB1 IVS9 -44A>G和UGT1A193解释(P =.004)。其他模型分别解释了APC(CPT-11的一种代谢物)、SN-38葡萄糖醛酸苷(SN-38G)和SN-38G/SN-38 AUCs中17%、23%和27%的变异性。在单变量模型中进行测试时,治疗前总胆红素能够改变基因型与表型之间的现有关联。
基于这项探索性分析,编码ABC和SLC转运蛋白的基因中的常见多态性可能对CPT-11的药代动力学和药效学有显著影响。需要进行验证性研究。