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Development and Application of a Mechanistic Population Modeling Approach to Describe Abemaciclib Pharmacokinetics

机译:机制人口建模方法的发展与应用描述ABEMACIBLIB药代动力学

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摘要

Abemaciclib is an oral anticancer drug that inhibits cyclin dependent kinases 4 and 6 and is metabolized by cytochrome P450 3A in the intestines and liver to active metabolites. The objectives were (1) to develop a mechanistic model to characterize the pharmacokinetics (PK) of the active moieties and investigate the effect of patient factors and (2) apply the model to dat from two phase III breast cancer trials of abemaciclib in combination with endocrine therapy. To develop the model, data from seven phase I studies and two phase II studies including 421 patients with cancer and 65 healthy individuals were pooled for nonlinear mixed effects modeling. The PK was similar between patients and healthy subjects, and the effects of diarrhea, formulation, race, and patient covariates on exposure were negligible. Application of the model confirmed its predictive performance and that abemaciclib PK did not change when coadministered with endocrine therapy.
机译:Abemaciclib是一种口服抗癌药物,其抑制细胞周期蛋白依赖性激酶4和6,并通过细胞色素P450 3A在肠道和肝脏中以活性代谢物代谢而代谢。目的是制定机械模型,以表征活性部分的药代动力学(PK),并调查患者因素的影响和(2)将模型应用于Abemaciclib的两期III乳腺癌试验。内分泌治疗。为了开发模型,七阶段研究的数据和两期II研究,包括421例癌症患者和65名健康个体,用于非线性混合效应建模。 PK在患者和健康受试者之间相似,腹泻,配方,种族和患者对暴露的影响是可忽略不计的。该模型的应用证实了其预测性能,并且在共同患有内分泌治疗时,Abemiclib PK不会改变。

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