Huang Yiwen, Xu Qi, Lu Hui, Li Zhong, Wu Yang
Suzhou Institute for Drug Control Suzhou Jiangsu Province 215104 China
Yantai Institute of Materia Medica, Yantai Branch, Shanghai Institute of Materia Medica, Chinese Academy of Sciences Yantai Shangdong Province 264000 China.
RSC Adv. 2022 Sep 8;12(39):25617-25622. doi: 10.1039/d2ra04505b. eCollection 2022 Sep 5.
In the synthesis of ripretinib, a new oral tyrosine kinase inhibitor, impurities could arise directly from starting materials, reagents and intermediates. Among these process impurities, four specific intermediate impurities were found to contain the structural alerts of primary aromatic amine and aldehyde groups, triggering the concern of potential mutagenic impurities (PMIs). Two complementary (quantitative) structure-activity relationship [(Q)SAR] evaluation systems (expert rule-based and statistics-based) were subsequently employed to assess and classify the mutagenic risk of the four known impurities. The Sarah prediction results of these four impurities were all positive and they were categorized as class 3, where the threshold of toxicological concern (TTC) of 1.5 μg d would apply. Hereby, a rapid and sensitive UPLC-MS/MS method was developed for the simultaneous and trace level quantification of the four PMIs in ripretinib drug substance. The separation was achieved on a C18 column under the optimized gradient elution program consuming only nine minutes and the four PMIs were all well separated from ripretinib so that they could be easily diverted to waste a switch valve. The time-segmented multiple reaction monitoring (MRM) mode further improved the sensitivity and allowed for the quantification of the four PMIs as low as 10% of the acceptable limit. The method was fully validated, and proved sufficient in terms of selectivity, sensitivity, linearity, precision and accuracy. The factors involved in the method development and pathways for fragment ions of the four PMIs were also discussed and the study will contribute to risk management of PMIs present in ripretinib.
在新型口服酪氨酸激酶抑制剂瑞派替尼的合成过程中,杂质可能直接源于起始原料、试剂和中间体。在这些工艺杂质中,发现有四种特定的中间体杂质含有伯芳香胺和醛基的结构警示,引发了对潜在致突变杂质(PMI)的关注。随后采用了两种互补的(定量)构效关系[(Q)SAR]评估系统(基于专家规则和基于统计)来评估和分类这四种已知杂质的致突变风险。这四种杂质的Sarah预测结果均为阳性,它们被归类为3类,适用1.5μg/天的毒理学关注阈值(TTC)。据此,开发了一种快速灵敏的超高效液相色谱-串联质谱(UPLC-MS/MS)方法,用于同时对瑞派替尼原料药中的四种PMI进行痕量定量。在优化的梯度洗脱程序下,使用C18色谱柱仅需9分钟即可实现分离,四种PMI均与瑞派替尼良好分离,从而可通过切换阀轻松转移至废液中。时间分段多反应监测(MRM)模式进一步提高了灵敏度,能够对低至可接受限度10%的四种PMI进行定量。该方法经过了全面验证,在选择性、灵敏度、线性、精密度和准确度方面均证明是充分的。还讨论了方法开发中涉及的因素以及四种PMI的碎片离子途径,该研究将有助于瑞派替尼中PMI的风险管理。