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CYP3A 药物相互作用研究综述:使用靶向口服抗癌药物患者的实用指南

A Review of CYP3A Drug-Drug Interaction Studies: Practical Guidelines for Patients Using Targeted Oral Anticancer Drugs.

作者信息

Molenaar-Kuijsten Laura, Van Balen Dorieke E M, Beijnen Jos H, Steeghs Neeltje, Huitema Alwin D R

机构信息

Department of Pharmacy & Pharmacology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, Netherlands.

Department of Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.

出版信息

Front Pharmacol. 2021 Aug 30;12:670862. doi: 10.3389/fphar.2021.670862. eCollection 2021.

Abstract

Many oral anticancer drugs are metabolized by CYP3A. Clinical drug-drug interaction (DDI) studies often only examine the effect of strong CYP3A inhibitors and inducers. The effect of moderate or weak inhibitors or inducers can be examined using physiologically based pharmacokinetic simulations, but data from these simulations are not always available early after approval of a drug. In this review we provide recommendations for clinical practice on how to deal with DDIs of oral anticancer drugs if only data from strong CYP3A inhibitors or inducers is available. These recommendations were based on reviewed data of oral anticancer drugs primarily metabolized by CYP3A and approved for the treatment of solid tumors from January 1st, 2013 to December 31st, 2015. In addition, three drugs that were registered before the new EMA guideline was issued (i.e., everolimus, imatinib, and sunitinib), were reviewed. DDIs are often complex, but if no data is available from moderate CYP3A inhibitors/inducers, a change in exposure of 50% compared with strong inhibitors/inducers can be assumed. No dose adaptations are indicated for weak inhibitors/inducers, because their interacting effect is small. In case pharmacologically active metabolites are involved, the metabolic pathway, the ratio of the parent to the metabolites, and the potency of the metabolites should be taken into account.

摘要

许多口服抗癌药物由CYP3A代谢。临床药物相互作用(DDI)研究通常仅考察强效CYP3A抑制剂和诱导剂的作用。中度或弱效抑制剂或诱导剂的作用可通过基于生理的药代动力学模拟进行考察,但这些模拟数据在药物获批后早期并不总是可得。在本综述中,我们针对临床实践提供建议,即如果仅获得强效CYP3A抑制剂或诱导剂的数据,应如何处理口服抗癌药物的DDI。这些建议基于对2013年1月1日至2015年12月31日期间主要由CYP3A代谢并获批用于实体瘤治疗的口服抗癌药物的审查数据。此外,还审查了在新的EMA指南发布之前注册的三种药物(即依维莫司、伊马替尼和舒尼替尼)。DDI往往很复杂,但如果没有中度CYP3A抑制剂/诱导剂的数据,可以假设与强效抑制剂/诱导剂相比暴露量变化50%。对于弱效抑制剂/诱导剂,无需调整剂量,因为它们的相互作用效应较小。如果涉及药理活性代谢物,则应考虑代谢途径、母体与代谢物的比例以及代谢物的效力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea36/8435708/264c6e9f4f0b/fphar-12-670862-g001.jpg

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