Henrich Andrea, Joerger Markus, Kraff Stefanie, Jaehde Ulrich, Huisinga Wilhelm, Kloft Charlotte, Parra-Guillen Zinnia Patricia
Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Berlin, Germany (A.H., C.K., Z.P.P.-G.); Graduate Research Training Program, PharMetrX, Berlin, Germany (A.H.); Department of Oncology and Haematology, Cantonal Hospital, St. Gallen, Switzerland (M.J.); Department of Clinical Pharmacy, Institute of Pharmacy, Universitaet Bonn, Bonn, Germany (S.K., U.J.); and Institute of Mathematics, Universitaet Potsdam, Potsdam, Germany (W.H.).
Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Berlin, Germany (A.H., C.K., Z.P.P.-G.); Graduate Research Training Program, PharMetrX, Berlin, Germany (A.H.); Department of Oncology and Haematology, Cantonal Hospital, St. Gallen, Switzerland (M.J.); Department of Clinical Pharmacy, Institute of Pharmacy, Universitaet Bonn, Bonn, Germany (S.K., U.J.); and Institute of Mathematics, Universitaet Potsdam, Potsdam, Germany (W.H.)
J Pharmacol Exp Ther. 2017 Aug;362(2):347-358. doi: 10.1124/jpet.117.240309. Epub 2017 Jun 9.
Paclitaxel is a commonly used cytotoxic anticancer drug with potentially life-threatening toxicity at therapeutic doses and high interindividual pharmacokinetic variability. Thus, drug and effect monitoring is indicated to control dose-limiting neutropenia. Joerger et al. (2016) developed a dose individualization algorithm based on a pharmacokinetic (PK)/pharmacodynamic (PD) model describing paclitaxel and neutrophil concentrations. Furthermore, the algorithm was prospectively compared in a clinical trial against standard dosing (Central European Society for Anticancer Drug Research Study of Paclitaxel Therapeutic Drug Monitoring; 365 patients, 720 cycles) but did not substantially improve neutropenia. This might be caused by misspecifications in the PK/PD model underlying the algorithm, especially without consideration of the observed cumulative pattern of neutropenia or the platinum-based combination therapy, both impacting neutropenia. This work aimed to externally evaluate the original PK/PD model for potential misspecifications and to refine the PK/PD model while considering the cumulative neutropenia pattern and the combination therapy. An underprediction was observed for the PK (658 samples), the PK parameters, and these parameters were re-estimated using the original estimates as prior information. Neutrophil concentrations (3274 samples) were overpredicted by the PK/PD model, especially for later treatment cycles when the cumulative pattern aggravated neutropenia. Three different modeling approaches (two from the literature and one newly developed) were investigated. The newly developed model, which implemented the bone marrow hypothesis semiphysiologically, was superior. This model further included an additive effect for toxicity of carboplatin combination therapy. Overall, a physiologically plausible PK/PD model was developed that can be used for dose adaptation simulations and prospective studies to further improve paclitaxel/carboplatin combination therapy.
紫杉醇是一种常用的细胞毒性抗癌药物,治疗剂量时具有潜在的危及生命的毒性,且个体间药代动力学变异性高。因此,需要进行药物和效应监测以控制剂量限制性中性粒细胞减少。约尔格等人(2016年)基于描述紫杉醇和中性粒细胞浓度的药代动力学(PK)/药效动力学(PD)模型开发了一种剂量个体化算法。此外,在一项临床试验中,该算法与标准给药方案进行了前瞻性比较(欧洲中部抗癌药物研究紫杉醇治疗药物监测研究;365例患者,720个周期),但并未显著改善中性粒细胞减少情况。这可能是由于该算法所基于的PK/PD模型存在错误设定,尤其是未考虑观察到的中性粒细胞减少的累积模式或铂类联合治疗,这两者都会影响中性粒细胞减少。这项工作旨在对外评估原始PK/PD模型是否存在潜在的错误设定,并在考虑中性粒细胞减少累积模式和联合治疗的情况下优化PK/PD模型。观察到PK(658个样本)、PK参数存在预测不足的情况,并使用原始估计值作为先验信息对这些参数进行了重新估计。PK/PD模型对中性粒细胞浓度(3274个样本)预测过高,尤其是在后期治疗周期,此时累积模式加重了中性粒细胞减少。研究了三种不同的建模方法(两种来自文献,一种新开发的)。新开发的模型半生理学地实施了骨髓假说,表现更优。该模型还进一步纳入了卡铂联合治疗毒性的加性效应。总体而言,开发了一个生理上合理的PK/PD模型,可用于剂量适应性模拟和前瞻性研究,以进一步改善紫杉醇/卡铂联合治疗。