The pharmacological audit trail (PhAT): Use of tumor models to address critical issues in the preclinical development of targeted anticancer drugs

Q3 Pharmacology, Toxicology and Pharmaceutics
Olivia Rossanese , Suzanne Eccles , Caroline Springer , Amanda Swain , Florence I. Raynaud , Paul Workman , Vladimir Kirkin
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引用次数: 8

Abstract

The Pharmacological Audit Trail (PhAT) is designed as a biomarker-driven roadmap to support discovery and development of anticancer drugs. The PhAT outlines key questions that deal with the use of biomarkers to (1) determine the right patient population, (2) describe the drug’s pharmacokinetics, (3) determine the drug’s pharmacodynamics, (4) predict tumor response at an intermediate time point, (5) assess tumor response at end of treatment, and (6) understand tumor resistance paradigms. Rigorous implementation of the PhAT ensures discovery and clinical development of high quality drug candidates and helps optimize clinical trials by guiding informed decisions by clinicians. While the later stages of the PhAT deal with the clinical validation of the therapeutic hypothesis, early preclinical experiments are essential to define a number of the PhAT parameters, including identification of biomarkers and early demonstration of efficacy and proof of mechanism. This review focuses on how various preclinical tumor models, which range from simple two-dimensional cell cultures to state-of-the-art patient-derived xenografts, can be best used to answer many of these questions preclinically.

药理学审计追踪(PhAT):使用肿瘤模型来解决靶向抗癌药物临床前开发中的关键问题
药理学审计追踪(PhAT)是一种生物标志物驱动的路线图,旨在支持抗癌药物的发现和开发。PhAT概述了使用生物标志物的关键问题:(1)确定合适的患者群体,(2)描述药物的药代动力学,(3)确定药物的药效学,(4)预测中间时间点的肿瘤反应,(5)评估治疗结束时的肿瘤反应,(6)了解肿瘤耐药模式。PhAT的严格实施确保了高质量候选药物的发现和临床开发,并通过指导临床医生做出明智的决策来帮助优化临床试验。虽然PhAT的后期阶段涉及治疗假设的临床验证,但早期的临床前实验对于确定一些PhAT参数至关重要,包括生物标志物的识别、早期疗效的证明和机制的证明。这篇综述的重点是各种临床前肿瘤模型,从简单的二维细胞培养到最先进的患者来源的异种移植物,如何最好地用于临床前回答许多这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drug Discovery Today: Disease Models
Drug Discovery Today: Disease Models Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
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期刊介绍: Drug Discovery Today: Disease Models discusses the non-human experimental models through which inference is drawn regarding the molecular aetiology and pathogenesis of human disease. It provides critical analysis and evaluation of which models can genuinely inform the research community about the direct process of human disease, those which may have value in basic toxicology, and those which are simply designed for effective expression and raw characterisation.
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