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分子癌症治疗的药效学生物标志物。

Pharmacodynamic biomarkers for molecular cancer therapeutics.

作者信息

Sarker Debashis, Workman Paul

机构信息

Signal Transduction and Molecular Pharmacology Team, Cancer Research UK, Centre for Cancer Therapeutics, The Institute of Cancer Research, Haddow Laboratories, Sutton, Surrey SM2 5NG, United Kingdom.

出版信息

Adv Cancer Res. 2007;96:213-68. doi: 10.1016/S0065-230X(06)96008-4.

DOI:10.1016/S0065-230X(06)96008-4
PMID:17161682
Abstract

Rational and efficient development of new molecular cancer therapeutics requires discovery, validation, and implementation of informative biomarkers. Measurement of molecular target status, pharmacokinetic (PK) parameters of drug exposure, and pharmacodynamic (PD) endpoints of drug effects on target, pathway, and downstream biological processes are extremely important. These can be linked to therapeutic effects in what we term a "pharmacological audit trail." Using biomarkers in preclinical drug discovery and development facilitates optimization of PK, PD, and therapeutic properties so that the best agent is selected for clinical evaluation. Applying biomarkers in early clinical trials helps identify the most appropriate patients; provides proof of concept for target modulation; helps test the underlying hypothesis; informs the rational selection of dose and schedule; aids decision making, including key go/no go questions; and may explain or predict clinical outcomes. Despite many successes such as trastuzumab and imatinib, exemplifying the value of targeting specific cancer defects, only 5% of oncology drugs that enter the clinic make it to marketing approval. Use of biomarkers should reduce this high level of attrition and bring forward key decisions (e.g., "fail fast"), thereby reducing the spiraling costs of drug development and increasing the likelihood of getting innovative and active drugs to cancer patients. In this chapter, we focus primarily on PD endpoints that demonstrate target modulation, including both invasive molecular assays and functional imaging technology. We also discuss related clinical trial design issues. Implementation of biomarkers in trials remains disappointingly low and we emphasize the need for greater cooperation between various stakeholders to improve this.

摘要

新型分子癌症治疗药物的合理有效开发需要发现、验证和应用信息丰富的生物标志物。测量分子靶点状态、药物暴露的药代动力学(PK)参数以及药物对靶点、信号通路和下游生物学过程的药效学(PD)终点极为重要。这些可与我们所称的“药理审计追踪”中的治疗效果相关联。在临床前药物研发中使用生物标志物有助于优化PK、PD和治疗特性,从而选择最佳药物进行临床评估。在早期临床试验中应用生物标志物有助于识别最合适的患者;为靶点调节提供概念验证;有助于检验潜在假设;为剂量和给药方案的合理选择提供依据;辅助决策,包括关键的继续/终止问题;并可能解释或预测临床结果。尽管有许多成功案例,如曲妥珠单抗和伊马替尼,体现了靶向特定癌症缺陷的价值,但进入临床的肿瘤药物中只有5%能获得上市批准。使用生物标志物应能降低这种高淘汰率并提前做出关键决策(例如“快速失败”),从而降低药物开发不断攀升的成本,并增加为癌症患者提供创新和有效药物的可能性。在本章中,我们主要关注证明靶点调节的PD终点,包括侵入性分子检测和功能成像技术。我们还将讨论相关的临床试验设计问题。生物标志物在试验中的应用率仍然低得令人失望,我们强调各利益相关方需要加强合作以改善这一情况。

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