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翻译:从临床试验角度解读非临床肿瘤学研究。

Found in Translation: Maximizing the Clinical Relevance of Nonclinical Oncology Studies.

机构信息

Department of Pharmacokinetics, Dynamics and Metabolism - New Biological Entities, Pfizer Worldwide Research and Development, San Diego, California.

Department of Pharmacokinetics, Dynamics and Metabolism - New Biological Entities, Pfizer Worldwide Research and Development, Groton, Connecticut.

出版信息

Clin Cancer Res. 2017 Feb 15;23(4):1080-1090. doi: 10.1158/1078-0432.CCR-16-1164. Epub 2016 Aug 22.

DOI:10.1158/1078-0432.CCR-16-1164
PMID:27551002
Abstract

The translation of nonclinical oncology studies is a subject of continuous debate. We propose that translational oncology studies need to optimize both pharmacokinetic (drug exposure) and pharmacodynamic (xenograft model) aspects. While improvements in pharmacodynamic translatability can be obtained by choosing cell lines or patient-derived xenograft models closer to the clinical indication, significant ambiguity and variability exists when optimizing the pharmacokinetic translation of small molecule and biotherapeutic agents. In this work, we propose a pharmacokinetic-based strategy to select nonclinical doses for approved drug molecules. We define a clinically relevant dose (CRD) as the dosing regimen in mice that most closely approximates the relevant pharmacokinetic metric in humans. Such metrics include area under the time-concentration curve and maximal or minimal concentrations within the dosing interval. The methodology is applied to six drugs, including targeted agents and chemotherapeutics, small and large molecules (erlotinib, dasatinib, vismodegib, trastuzumab, irinotecan, and capecitabine). The resulting efficacy response at the CRD is compared with clinical responses. We conclude that nonclinical studies designed with the appropriate CRDs of approved drug molecules will maximize the translatability of efficacy results, which is critical when testing approved and investigational agents in combination. .

摘要

非临床肿瘤学研究的转化是一个持续争论的话题。我们提出,转化肿瘤学研究需要优化药代动力学(药物暴露)和药效学(异种移植模型)两个方面。虽然通过选择更接近临床适应证的细胞系或患者来源的异种移植模型,可以提高药效学的转化相关性,但在优化小分子和生物治疗药物的药代动力学转化方面,仍然存在显著的不明确性和变异性。在这项工作中,我们提出了一种基于药代动力学的策略,用于选择已批准药物分子的非临床剂量。我们将临床相关剂量(CRD)定义为在小鼠中最接近人体相关药代动力学指标的给药方案。这些指标包括时间浓度曲线下面积和给药间隔内的最大或最小浓度。该方法应用于六种药物,包括靶向药物和化疗药物、小分子和大分子(厄洛替尼、达沙替尼、维莫德吉、曲妥珠单抗、伊立替康和卡培他滨)。在 CRD 下的疗效反应与临床反应进行比较。我们得出结论,设计具有适当 CRD 的已批准药物分子的非临床研究将最大限度地提高疗效结果的转化相关性,这在联合测试已批准和研究性药物时至关重要。

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