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首页> 外文期刊>Clinical cancer research: an official journal of the American Association for Cancer Research >A population pharmacokinetic meta-analysis of sunitinib malate (SU11248) and its primary metabolite (SU12662) in healthy volunteers and oncology patients.
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A population pharmacokinetic meta-analysis of sunitinib malate (SU11248) and its primary metabolite (SU12662) in healthy volunteers and oncology patients.

机译:苹果酸舒尼替尼(SU11248)及其主要代谢产物(SU12662)在健康志愿者和肿瘤患者中的群体药代动力学荟萃分析。

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摘要

PURPOSE: Sunitinib malate is an oral multitargeted tyrosine kinase inhibitor approved for advanced renal cell carcinoma and imatinib-resistant or imatinib-intolerant gastrointestinal stromal tumor. Following administration, sunitinib is metabolized by cytochrome P450 3A4 to an active metabolite (SU12662). The objective of this analysis was to assess sunitinib and SU12662 pharmacokinetics and to identify covariates that might explain variability in exposure following oral administration. EXPERIMENTAL DESIGN: Data from 590 subjects (73 volunteers and 517 patients) in 14 studies were analyzed. Plasma concentration-time data were analyzed using nonlinear mixed-effects modeling to estimate population pharmacokinetic parameters, as well as relationships between these parameters and gender, race, age, weight, creatinine clearance, Eastern Cooperative Oncology Group score, and tumor type. Simulations were done to determine the predicted effect of these covariates on exposure. RESULTS: Separate models were developed for sunitinib and SU12662 (each a two-compartment model with first-order absorption and elimination). Sunitinib parameters were estimated as CL/F, 51.8 L/h and Vd/F(central), 2,030 liters. SU12662 parameters were estimated as CL/F, 29.6 L/h and Vd/F(central), 3,080 liters. Tumor type (except acute myeloid leukemia), Asian race, gender, body weight, and elevated Eastern Cooperative Oncology Group score described a portion of the variability in CL/F for sunitinib and metabolite; gender and body weight explained some of the variability in Vd/F(central) for sunitinib and metabolite. Among patients, the predicted changes in sunitinib and metabolite AUC and C(max) as a result of the individual covariates ranged up to 17%. CONCLUSION: The magnitude of the predicted changes in exposure with the covariates studied minimizes the necessity for dose adjustment in any of these subpopulations.
机译:目的:苹果酸舒尼替尼是一种口服多靶酪氨酸激酶抑制剂,被批准用于晚期肾细胞癌和伊马替尼耐药或伊马替尼不耐受的胃肠道间质瘤。给药后,舒尼替尼被细胞色素P450 3A4代谢为活性代谢物(SU12662)。该分析的目的是评估舒尼替尼和SU12662的药代动力学,并确定可能解释口服给药后暴露差异的协变量。实验设计:分析了14项研究中的590名受试者(73名志愿者和517名患者)的数据。使用非线性混合效应模型分析血浆浓度-时间数据,以估计群体药代动力学参数,以及这些参数与性别,种族,年龄,体重,肌酐清除率,东部合作肿瘤小组评分和肿瘤类型之间的关系。进行了模拟以确定这些协变量对暴露的预期影响。结果:开发了舒尼替尼和SU12662的单独模型(每个模型均为具有一阶吸收和消除作用的两室模型)。舒尼替尼的参数估计为CL / F,51.8 L / h和Vd / F(中)(2,030升)。 SU12662参数估计为CL / F,29.6 L / h和Vd / F(中央)3,080升。肿瘤类型(急性髓细胞白血病除外),亚洲种族,性别,体重和东部合作肿瘤小组评分升高描述了舒尼替尼和代谢物的CL / F变异性的一部分;性别和体重解释了舒尼替尼和代谢物的Vd / F(中心)的某些变化。在患者中,由于个别协变量的影响,舒尼替尼和代谢产物AUC和C(max)的预测变化范围高达17%。结论:所研究的协变量的预期暴露量变化幅度最小化了任何这些亚群中调整剂量的必要性。

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