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在临床前研究中测试抗癌药物的相加作用:一种基于 PK/PD 模型的方法。

Testing additivity of anticancer agents in pre-clinical studies: a PK/PD modelling approach.

机构信息

Pharmacokinetics and Modeling, Accelera S.r.l., Viale Pasteur 10, 20014 Nerviano (MI), Italy.

出版信息

Eur J Cancer. 2009 Dec;45(18):3336-46. doi: 10.1016/j.ejca.2009.09.025. Epub 2009 Oct 23.

Abstract

In clinical oncology, combination regimens may result in a synergistic, additive or antagonistic interaction (i.e. the effect of the combination is greater, similar or smaller than the sum of the effects of the individual compounds). For this reason, during the drug development process, in vivo pre-clinical studies are performed to assess the interaction of anticancer agents given in combination. Starting from a widely used single compound PK/PD model, a new additivity model able to predict the tumour growth inhibition in xenografted mice after the administration of compounds in combination was developed, under the assumption of a pharmacodynamic null interaction. By comparing the predicted curves with actual tumour weight data, possible departures from additivity can be immediately ascertained by visual inspection; a statistical procedure based on a chi(2) test has also been developed for this aim. The advantages of the proposed approach in comparison to other modelling methodologies are discussed and its application to four combination studies is presented.

摘要

在临床肿瘤学中,联合治疗方案可能会产生协同、相加或拮抗作用(即联合治疗的效果大于、等于或小于单个化合物效果的总和)。出于这个原因,在药物开发过程中,会进行体内临床前研究来评估联合使用的抗癌药物的相互作用。基于广泛使用的单一化合物 PK/PD 模型,开发了一种新的相加模型,假设药效学无相互作用,该模型能够预测在异种移植小鼠中联合使用化合物后的肿瘤生长抑制情况。通过将预测曲线与实际肿瘤重量数据进行比较,可以通过直观检查立即确定是否存在相加作用的偏离;还为此目的开发了一种基于卡方检验的统计程序。讨论了与其他建模方法相比,该方法的优势,并展示了其在四项联合研究中的应用。

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