Buclin Thierry, Thoma Yann, Widmer Nicolas, André Pascal, Guidi Monia, Csajka Chantal, Decosterd Laurent A
Service of Clinical Pharmacology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
School of Management and Engineering Vaud (HEIG-VD), University of Applied Science Western Switzerland (HES-SO), Yverdon-les-Bains, Switzerland.
Front Pharmacol. 2020 Mar 3;11:177. doi: 10.3389/fphar.2020.00177. eCollection 2020.
Pharmacometric methods have hugely benefited from progress in analytical and computer sciences during the past decades, and play nowadays a central role in the clinical development of new medicinal drugs. It is time that these methods translate into patient care through therapeutic drug monitoring (TDM), due to become a mainstay of precision medicine no less than genomic approaches to control variability in drug response and improve the efficacy and safety of treatments. In this review, we make the case for structuring TDM development along five generic questions: 1) Is the concerned drug a candidate to TDM? 2) What is the normal range for the drug's concentration? 3) What is the therapeutic target for the drug's concentration? 4) How to adjust the dosage of the drug to drive concentrations close to target? 5) Does evidence support the usefulness of TDM for this drug? We exemplify this approach through an overview of our development of the TDM of imatinib, the very first targeted anticancer agent. We express our position that a similar story shall apply to other drugs in this class, as well as to a wide range of treatments critical for the control of various life-threatening conditions. Despite hurdles that still jeopardize progress in TDM, there is no doubt that upcoming technological advances will shape and foster many innovative therapeutic monitoring methods.
在过去几十年中,药代动力学方法极大地受益于分析科学和计算机科学的进步,如今在新型药物的临床开发中发挥着核心作用。现在是时候通过治疗药物监测(TDM)将这些方法应用于患者护理了,TDM将成为精准医学的支柱,不亚于基因组方法来控制药物反应的变异性并提高治疗的有效性和安全性。在本综述中,我们提出应围绕五个一般性问题构建TDM的开发:1)所关注的药物是否适合进行TDM?2)该药物浓度的正常范围是多少?3)该药物浓度的治疗目标是什么?4)如何调整药物剂量以使浓度接近目标?5)是否有证据支持TDM对该药物有用?我们通过概述我们对首个靶向抗癌药物伊马替尼的TDM开发来举例说明这种方法。我们表明我们的立场,即类似的情况也适用于该类别的其他药物,以及对控制各种危及生命的病症至关重要的广泛治疗方法。尽管仍然存在阻碍TDM进展的障碍,但毫无疑问,即将到来的技术进步将塑造并促进许多创新的治疗监测方法。