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基于生理学的吉西他滨和比立膦肽在胰腺癌异种移植中的药代动力学和药效学模型。

Physiologically-based pharmacokinetic and pharmacodynamic models for gemcitabine and birinapant in pancreatic cancer xenografts.

机构信息

Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, USA.

University of Buffalo, 404 Kapoor Hall, Buffalo, NY, 14214-8033, USA.

出版信息

J Pharmacokinet Pharmacodyn. 2018 Oct;45(5):733-746. doi: 10.1007/s10928-018-9603-z. Epub 2018 Aug 1.

Abstract

The anticancer effects of combined gemcitabine and birinapant were demonstrated as synergistic in PANC-1 cells in vitro. In this study, pharmacokinetic information derived from experiments and the literature was utilized to develop full physiologically-based pharmacokinetic (PBPK) models that characterize individual drugs. The predicted intra-tumor drug concentrations were used as the driving force within a linked PBPK/PD model for treatment-mediated changes in tumor volume in a xenograft mouse model. The efficacy of the drug combination in vivo was evaluated mathematically as exhibiting additivity. The network model developed for drug effects in the in vitro cell cultures was applied successfully to link the in vivo tumor drug concentrations with tumor growth inhibition, incorporating more mechanistic features and accounting for disparate drug interaction outcomes in vitro and in vivo.

摘要

联合吉西他滨和比立膦肽在体外显示出协同的抗癌作用。在这项研究中,利用实验和文献中获得的药代动力学信息来开发个体药物的全生理药代动力学(PBPK)模型。预测的肿瘤内药物浓度作为体内荷瘤小鼠模型中治疗介导的肿瘤体积变化的连接 PBPK/PD 模型中的驱动力。药物组合的体内疗效通过数学评估为相加性。在体外细胞培养中药物作用的网络模型成功地应用于将体内肿瘤药物浓度与肿瘤生长抑制联系起来,纳入了更多的机制特征,并解释了体外和体内药物相互作用结果的差异。

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