Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Pfizer Worldwide Research, Development and Medicine, San Diego, CA, USA.
J Pharmacokinet Pharmacodyn. 2020 Apr;47(2):163-182. doi: 10.1007/s10928-020-09680-6. Epub 2020 Mar 11.
Neutropenia is one of the most common dose-limiting toxocities associated with anticancer drug therapy. The ability to predict the probability and severity of neutropenia based on in vitro studies of drugs in early drug development will aid in advancing safe and efficacious compounds to human testing. Toward this end, a physiological model of granulopoiesis and its regulation is presented that includes the bone marrow progenitor cell cycle, allowing for a mechanistic representation of the action of relevant anticancer drugs based on in vitro studies. Model development used data from previously reported tracer kinetic studies of granulocyte disposition in healthy humans to characterize the dynamics of neutrophil margination in the presence of endogenous granulocyte-colony stimulating factor (G-CSF). In addition, previously published data from healthy volunteers following pegfilgrastim and filgrastim were used to quantify the regulatory effects of support G-CSF therapies on granulopoiesis. The model was evaluated for the cell cycle inhibitor palbociclib, using an in vitro system of human bone marrow mononuclear cells to quantify the action of palbociclib on proliferating progenitor cells, including its inhibitory effect on G1 to S phase transition. The in vitro results were incorporated into the physiological model of granulopoiesis and used to predict the time course of absolute neutrophil count (ANC) and the incidence of neutropenia observed in three previously reported clinical trials of palbociclib. The model was able to predict grade 3 and 4 neutropenia due to palbociclib treatment with 86% accuracy based on in vitro data.
中性粒细胞减少症是与癌症药物治疗相关的最常见的剂量限制毒性之一。在早期药物开发中,通过药物的体外研究来预测中性粒细胞减少症的概率和严重程度,将有助于将安全有效的化合物推进到人体测试。为此,提出了一种粒细胞发生及其调节的生理模型,该模型包括骨髓祖细胞周期,允许根据体外研究对相关抗癌药物的作用进行机制表示。模型开发使用了先前报道的健康人体粒细胞分布示踪动力学研究的数据,以描述在存在内源性粒细胞集落刺激因子 (G-CSF) 的情况下中性粒细胞边缘的动力学。此外,还使用了来自健康志愿者在培非格司亭和非格司亭后的已发表数据来量化支持 G-CSF 治疗对粒细胞发生的调节作用。使用人骨髓单核细胞的体外系统来量化 palbociclib 对增殖祖细胞的作用,包括其对 G1 到 S 期转变的抑制作用,对细胞周期抑制剂 palbociclib 进行了模型评估。将体外结果纳入粒细胞发生的生理模型中,并用于预测先前报道的 palbociclib 三项临床试验中观察到的绝对中性粒细胞计数 (ANC) 和中性粒细胞减少症的时间过程。该模型能够根据体外数据以 86%的准确率预测 palbociclib 治疗引起的 3 级和 4 级中性粒细胞减少症。