Amberg Alexander, Beilke Lisa, Bercu Joel, Bower Dave, Brigo Alessandro, Cross Kevin P, Custer Laura, Dobo Krista, Dowdy Eric, Ford Kevin A, Glowienke Susanne, Van Gompel Jacky, Harvey James, Hasselgren Catrin, Honma Masamitsu, Jolly Robert, Kemper Raymond, Kenyon Michelle, Kruhlak Naomi, Leavitt Penny, Miller Scott, Muster Wolfgang, Nicolette John, Plaper Andreja, Powley Mark, Quigley Donald P, Reddy M Vijayaraj, Spirkl Hans-Peter, Stavitskaya Lidiya, Teasdale Andrew, Weiner Sandy, Welch Dennie S, White Angela, Wichard Joerg, Myatt Glenn J
Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany.
Toxicology Solutions, San Diego, CA, USA.
Regul Toxicol Pharmacol. 2016 Jun;77:13-24. doi: 10.1016/j.yrtph.2016.02.004. Epub 2016 Feb 11.
The ICH M7 guideline describes a consistent approach to identify, categorize, and control DNA reactive, mutagenic, impurities in pharmaceutical products to limit the potential carcinogenic risk related to such impurities. This paper outlines a series of principles and procedures to consider when generating (Q)SAR assessments aligned with the ICH M7 guideline to be included in a regulatory submission. In the absence of adequate experimental data, the results from two complementary (Q)SAR methodologies may be combined to support an initial hazard classification. This may be followed by an assessment of additional information that serves as the basis for an expert review to support or refute the predictions. This paper elucidates scenarios where additional expert knowledge may be beneficial, what such an expert review may contain, and how the results and accompanying considerations may be documented. Furthermore, the use of these principles and procedures to yield a consistent and robust (Q)SAR-based argument to support impurity qualification for regulatory purposes is described in this manuscript.
国际人用药品注册技术协调会(ICH)M7指南描述了一种用于识别、分类和控制药品中具有DNA反应性、致突变性杂质的一致方法,以限制与此类杂质相关的潜在致癌风险。本文概述了在生成符合ICH M7指南的(定量)构效关系(QSAR)评估结果以纳入监管申报文件时应考虑的一系列原则和程序。在缺乏充分实验数据的情况下,可将两种互补的QSAR方法的结果结合起来,以支持初步的危害分类。随后可对作为专家评审依据的其他信息进行评估,以支持或反驳预测结果。本文阐明了在哪些情况下额外的专家知识可能会有所帮助、此类专家评审可能包含哪些内容,以及如何记录结果和相关考虑因素。此外,本手稿还描述了如何运用这些原则和程序,得出基于QSAR的一致且有力的论证,以支持杂质的监管鉴定。