Veal Gareth J, Amankwatia Edward B, Paludetto Marie-Noëlle, Möcklinghoff Till, Thomson Fiona, André Nicolas, Ciccolini Joseph, Chatelut Etienne
Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
Institut Claudius-Regaud and Cancer Research Center of Toulouse, Inserm U1037, Université Paul Sabatier, Toulouse, France.
Ther Drug Monit. 2019 Apr;41(2):142-159. doi: 10.1097/FTD.0000000000000606.
In the modern era of cancer treatment, with targeted agents superseding more traditional cytotoxic chemotherapeutics, it is becoming increasingly important to use stratified medicine approaches to ensure that patients receive the most appropriate drugs and treatment schedules. In this context, there is significant potential for the use of pharmacodynamic biomarkers to provide pharmacological information, which could be used in a therapeutic drug monitoring setting. This review focuses on discussing some of the challenges faced to date in translating preclinical pharmacodynamic biomarker approaches to a clinical setting. Recent advances in important areas including circulating biomarkers and pharmacokinetic/pharmacodynamic modeling approaches are discussed, and selected examples of anticancer drugs where there is existing evidence to potentially advance pharmacodynamic therapeutic drug monitoring approaches to deliver more effective treatment are discussed. Although we may not yet be in a position to systematically implement therapeutic drug monitoring approaches based on pharmacodynamic information in a cancer patient setting, such approaches are likely to become more commonplace in the coming years. Based on ever-increasing levels of pharmacodynamic information being generated on newer anticancer drugs, facilitated by increasingly advanced and accessible experimental approaches available to researchers to collect these data, we can now look forward optimistically to significant advances being made in this area.
在癌症治疗的现代时代,随着靶向药物取代了更为传统的细胞毒性化疗药物,采用分层医学方法以确保患者接受最合适的药物和治疗方案变得越来越重要。在此背景下,使用药效学生物标志物来提供药理学信息具有巨大潜力,这些信息可用于治疗药物监测。本综述着重讨论迄今为止在将临床前药效学生物标志物方法转化为临床应用过程中所面临的一些挑战。文中讨论了包括循环生物标志物和药代动力学/药效学建模方法等重要领域的最新进展,并探讨了一些抗癌药物的实例,这些药物已有证据表明有可能推进药效学治疗药物监测方法以实现更有效的治疗。尽管我们可能尚未能够在癌症患者环境中基于药效学信息系统地实施治疗药物监测方法,但此类方法在未来几年可能会变得更加普遍。基于研究人员可利用日益先进且易于获取的实验方法生成的关于新型抗癌药物的药效学信息不断增加,我们现在可以乐观地期待这一领域取得重大进展。