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Application of Pharmacokinetic and Pharmacodynamic Analysis to the Development of Liposomal Formulations for Oncology

机译:药代动力学和药效学分析在肿瘤脂质体制剂开发中的应用

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摘要

Liposomal formulations of anticancer agents have been developed to prolong drug circulating lifetime, enhance anti-tumor efficacy by increasing tumor drug deposition, and reduce drug toxicity by avoiding critical normal tissues. Despite the clinical approval of numerous liposome-based chemotherapeutics, challenges remain in the development and clinical deployment of micro- and nano-particulate formulations, as well as combining these novel agents with conventional drugs and standard-of-care therapies. Factors requiring optimization include control of drug biodistribution, release rates of the encapsulated drug, and uptake by target cells. Quantitative mathematical modeling of formulation performance can provide an important tool for understanding drug transport, uptake, and disposition processes, as well as their role in therapeutic outcomes. This review identifies several relevant pharmacokinetic/pharmacodynamic models that incorporate key physical, biochemical, and physiological processes involved in delivery of oncology drugs by liposomal formulations. They capture observed data, lend insight into factors determining overall antitumor response, and in some cases, predict conditions for optimizing chemotherapy combinations that include nanoparticulate drug carriers.
机译:已经开发了抗癌剂的脂质体制剂,以延长药物循环寿命,通过增加肿瘤药物沉积来增强抗肿瘤功效,并通过避开关键的正常组织来降低药物毒性。尽管获得了许多基于脂质体的化学疗法的临床批准,但在微米和纳米微粒制剂的开发和临床部署以及将这些新型药物与常规药物和护理标准疗法相结合方面仍面临挑战。需要优化的因素包括控制药物的生物分布,所包封的药物的释放速率以及靶细胞的摄取。制剂性能的定量数学建模可以为了解药物运输,吸收和处置过程及其在治疗结果中的作用提供重要工具。这篇综述确定了几种相关的药代动力学/药效学模型,这些模型结合了关键的物理,生化和生理过程,这些过程涉及通过脂质体制剂递送肿瘤药物。他们捕获观察到的数据,深入了解决定总体抗肿瘤反应的因素,并在某些情况下预测优化包括纳米颗粒药物载体在内的化学疗法组合的条件。

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