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抗癌治疗的药代动力学优化

Pharmacokinetic optimisation of anticancer therapy.

作者信息

Liliemark J, Peterson C

机构信息

Department of Clinical Pharmacology, Karolinska Hospital, Stockholm, Sweden.

出版信息

Clin Pharmacokinet. 1991 Sep;21(3):213-31. doi: 10.2165/00003088-199121030-00005.

Abstract

It is obvious that there are great problems with pharmacokinetic individualization of anticancer therapy. The strong relationship between dose intensity (total dose/unit time) and response revealed in clinical trials with some tumours provides a strong support for studies seeking relationships between the individual plasma pharmacokinetic profile and response to treatment. Unfortunately, studies that define a therapeutic window are sparse, and trials that prospectively test such models are even rarer. Thus, for most cancer drugs, it is not possible to give any definite advice on how to use pharmacokinetic determinations to establish individualised therapy, and there is therefore a definite need for such studies. It is important, however, that attempts to establish relationships between drug concentrations and therapeutic effects be founded on a sound theoretical base. When drugs, mainly antimetabolites, are extensively metabolised intracellularly and interact with intracellular processes about which there are data showing a strong interindividual heterogeneity, such data must be considered when designing pharmacokinetic investigations. Cytarabine and fluorouracil are good examples of this. The monitoring of intracellular drug/metabolite concentrations or of the direct biochemical events in the tumour cells seems to be a promising approach with such drugs. It also needs to be emphasised that pharmacokinetically guided individualization cannot be achieved before a therapeutic window is established, i.e. a knowledge of the relationship between drug concentration and clinical effects. The investigators in this field accept a great responsibility when clinical studies are undertaken: a poorly designed study showing no benefit from pharmacokinetically guided individualization can impair the possibilities of performing more adequate studies in the future.

摘要

显而易见,抗癌治疗的药代动力学个体化存在重大问题。在某些肿瘤的临床试验中揭示的剂量强度(总剂量/单位时间)与反应之间的密切关系,为寻求个体血浆药代动力学特征与治疗反应之间关系的研究提供了有力支持。不幸的是,定义治疗窗的研究很少,前瞻性测试此类模型的试验更是罕见。因此,对于大多数抗癌药物,无法就如何利用药代动力学测定来制定个体化治疗给出任何明确建议,所以确实需要此类研究。然而,重要的是,建立药物浓度与治疗效果之间关系的尝试应以坚实的理论基础为依托。当药物(主要是抗代谢物)在细胞内被广泛代谢并与细胞内过程相互作用,而关于这些过程的数据显示个体间存在很大异质性时,在设计药代动力学研究时必须考虑这些数据。阿糖胞苷和氟尿嘧啶就是很好的例子。监测肿瘤细胞内的药物/代谢物浓度或直接的生化事件似乎是针对此类药物的一种有前景的方法。还需要强调的是,在建立治疗窗之前,即了解药物浓度与临床效果之间的关系之前,无法实现药代动力学指导的个体化。当进行临床研究时,该领域的研究人员承担着重大责任:一项设计不佳、显示药代动力学指导的个体化无益处的研究可能会损害未来开展更充分研究的可能性。

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