Assessment of Predictivity of Semiquantitative Risk Assessment Tool: Pazopanib Hydrochloride Genotoxic Impurities

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• 作者：David P. Elder ; George Okafo ; Michael McGuire
• 刊名：Organic Process Research & Development
• 出版年：2013
• 出版时间：August 16, 2013
• 年：2013
• 卷：17
• 期：8
• 页码：1036-1041
• 全文大小：221K
• 年卷期：v.17,no.8(August 16, 2013)
• ISSN：1520-586X

文摘

The recently developed semiquantitative assessment tool for the evaluation of carryover potential of mutagenic impurities (MIs) into the final API was applied to the five identified MIs within pazopanib hydrochloride (dimethyl sulfate (DMS) and compounds II, III, VI, and VIII). The theoretical and predicted purge factors were compared. The tool accurately predicted the purging capacity for the most reactive MI, DMS, giving a theoretical purge factor of 30000 versus an actual value of 29411 (for spiking at stage 1). For the other less reactive MIs, both measured and predicted values agreed reasonably well, and the high values for the purging factors were indicative of an effective process capability that could significantly reduce observed MI levels. The only exception was for compound VI, where although the measured and theoretical purge factors were in agreement, they were significantly lower (<200) than for the other MIs. In this case, a strategy was implemented including a requirement for control of this MI on API specification. The purge-factor assessment tool has the potential to play a key role in GRA (genotoxic risk assessment) processes and subsequent regulatory submissions. This tool could provide regulators with additional confidence to accept these purging arguments without resorting to testing. This could potentially significantly reduce the analytical testing burden for early clinical candidates.