Loadman P M, Bibby M C
Clinical Oncology Unit, University of Bradford, England.
Clin Pharmacokinet. 1994 Jun;26(6):486-500. doi: 10.2165/00003088-199426060-00006.
Drug dosage is of paramount importance in the treatment of cancer, the aim being to optimise drug exposure with a view to maximising antitumour effect and minimising normal tissue toxicity. Pharmacokinetic parameters of anticancer drugs vary considerably from patient to patient. Most clinically useful drug regimens consist of a cocktail of drugs with different mechanisms of action and hence different toxicity profiles. Therefore, it is even more difficult to optimise drug dosage for individual patients. Variability in the pharmacokinetic profile of anticancer agents in individual patients can be further complicated by pharmacokinetically based drug interactions between different anticancer drugs or anticancer drugs and other concomitant medication. Most of the reported studies provide useful information and identify major interactions, but many also demonstrate the difficulty in identifying therapeutically important drug interactions in patients. Even with all the problems associated with acquiring suitable data from cancer patients it is clear that drug interactions do occur and that these can be clinically significant. It is important that potential interactions are identified early in the drug development of new anticancer drugs. This may be made possible by the rapid improvements in analytical techniques and the availability of more appropriate clinically relevant model systems. Therefore, the therapeutic significance of any detected interactions may be assessed, and steps to avoid them may be established, before the drug is under clinical investigation.
药物剂量在癌症治疗中至关重要,目的是优化药物暴露,以实现抗肿瘤效果最大化和正常组织毒性最小化。抗癌药物的药代动力学参数在患者之间差异很大。大多数临床上有用的药物方案由具有不同作用机制和不同毒性特征的药物组合而成。因此,为个体患者优化药物剂量更加困难。个体患者中抗癌药物药代动力学特征的变异性可能会因不同抗癌药物之间或抗癌药物与其他伴随用药之间基于药代动力学的药物相互作用而进一步复杂化。大多数已报道的研究提供了有用的信息并识别出主要的相互作用,但许多研究也表明在患者中识别具有治疗重要性的药物相互作用存在困难。即使存在与从癌症患者获取合适数据相关的所有问题,但很明显药物相互作用确实会发生,并且这些相互作用可能具有临床意义。在新抗癌药物的研发早期识别潜在的相互作用很重要。这可能通过分析技术的快速改进和更合适的临床相关模型系统的可用性来实现。因此,在药物进行临床研究之前,可以评估任何检测到的相互作用的治疗意义,并制定避免这些相互作用的措施。