| Literature DB >> 30562600 |
Alexander Amberg1, Roxanne V Andaya2, Lennart T Anger1, Chris Barber3, Lisa Beilke4, Joel Bercu5, Dave Bower6, Alessandro Brigo7, Zoryanna Cammerer8, Kevin P Cross6, Laura Custer9, Krista Dobo10, Helga Gerets11, Véronique Gervais12, Susanne Glowienke13, Stephen Gomez14, Jacky Van Gompel15, James Harvey16, Catrin Hasselgren2, Masamitsu Honma17, Candice Johnson6, Robert Jolly18, Raymond Kemper19, Michelle Kenyon10, Naomi Kruhlak20, Penny Leavitt9, Scott Miller6, Wolfgang Muster7, Russell Naven21, John Nicolette22, Alexis Parenty13, Mark Powley23, Donald P Quigley6, M Vijayaraj Reddy23, Jennifer C Sasaki2, Lidiya Stavitskaya20, Andrew Teasdale24, Alejandra Trejo-Martin5, Sandy Weiner8, Dennie S Welch22, Angela White16, Joerg Wichard25, David Woolley26, Glenn J Myatt27.
Abstract
The International Council for Harmonization (ICH) M7 guideline describes a hazard assessment process for impurities that have the potential to be present in a drug substance or drug product. In the absence of adequate experimental bacterial mutagenicity data, (Q)SAR analysis may be used as a test to predict impurities' DNA reactive (mutagenic) potential. However, in certain situations, (Q)SAR software is unable to generate a positive or negative prediction either because of conflicting information or because the impurity is outside the applicability domain of the model. Such results present challenges in generating an overall mutagenicity prediction and highlight the importance of performing a thorough expert review. The following paper reviews pharmaceutical and regulatory experiences handling such situations. The paper also presents an analysis of proprietary data to help understand the likelihood of misclassifying a mutagenic impurity as non-mutagenic based on different combinations of (Q)SAR results. This information may be taken into consideration when supporting the (Q)SAR results with an expert review, especially when out-of-domain results are generated during a (Q)SAR evaluation.Entities:
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Year: 2018 PMID: 30562600 DOI: 10.1016/j.yrtph.2018.12.007
Source DB: PubMed Journal: Regul Toxicol Pharmacol ISSN: 0273-2300 Impact factor: 3.271