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Multiscale Design of Cell-Type–Specific Pharmacokinetic/Pharmacodynamic Models for Personalized Medicine: Application to Temozolomide in Brain Tumors

机译:个性化药物的细胞类型特异性药代动力学/药效动力学模型的多尺度设计:在脑肿瘤中替莫唑胺的应用

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摘要

Optimizing anticancer therapeutics needs to account for variable drug responses in heterogeneous cell populations within the tumor as well as in organs of toxicity. To address cell heterogeneity, we propose a multiscale modeling approach—from in vitro to preclinical and clinical studies—to develop cell-type–specific pharmacokinetic–pharmacodynamic (PK-PD) models. A physiologically based mechanistic modeling approach integrating data from aqueous solutions, U87 glioma cells, mice, and cancer patients was utilized to characterize the brain disposition of temozolomide (TMZ), the cornerstone of chemotherapy against glioblastoma multiforme. The final model represented intracellular normal brain and brain tumor compartments in which TMZ pH-dependent conversion to the DNA-alkylating species leads to the formation of DNA adducts that serve as an entry point for a PD model. This multiscale protocol can be extended to account for TMZ PK-PD in different cell populations, thus providing a critical tool to personalize TMZ-based chemotherapy on a cell-type–specific basis.
机译:优化抗癌疗法需要考虑到肿瘤内异种细胞群以及毒性器官中药物反应的差异。为了解决细胞异质性问题,我们提出了从体外到临床前和临床研究的多尺度建模方法,以开发特定于细胞类型的药代动力学-药效学(PK-PD)模型。基于生理学的机械建模方法整合了水溶液,U87胶质瘤细胞,小鼠和癌症患者的数据,用于表征替莫唑胺(TMZ)的大脑处置,替莫唑胺(TMZ)是针对多形性胶质母细胞瘤的化学疗法的基础。最终模型代表细胞内正常脑和脑肿瘤区室,其中TMZ pH依赖性转化为DNA烷基化物质导致形成DNA加合物,该加合物用作PD模型的切入点。可以扩展此多尺度协议以解决不同细胞群中TMZ PK-PD的问题,从而为在基于细胞类型的基础上个性化基于TMZ的化疗提供了重要工具。

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