Characterization of false positive, contaminant-driven mutagenicity in impurities associated with the sotorasib drug substance.

Sotorasib (Lumakras™) is a first-in-class, non-genotoxic, small molecule inhibitor of KRAS G12C developed as an anticancer therapeutic for treatment of patients that have a high unmet medical need. Anticancer therapeutics are considered out of scope of ICH M7 guidance for control of mutagenic impurities; however, based on ICH S9 Q&A, mutagenicity assessments are needed for impurities that exceed the qualification threshold, consistent with ICH Q3A/B, and non-mutagenic drugs. Here, we carried out hybrid-based mutagenicity assessment of sotorasib drug substance (DS) impurities using in silico quantitative structure-activity relationship (QSAR) modelling and Ames tests (for in silico positive mutagens). We encountered contradictive mutagenicity results for 2 impurities (Beta-Chloride and PAC). PAC was negative initially by QSAR but positive in a GLP full plate Ames test and Beta-Chloride was positive by QSAR, negative in a non-GLP micro-Ames but positive in a GLP full plate Ames assay. Root cause analyses identified and characterized mutagenic contaminants, 3-chloropropionic acid in batches of Beta-Chloride and 3-chloropropionic acid and Chloro-PAC in batches of PAC, used in initial GLP full-plate Ames tests. Significant reduction of these contaminants in re-purified batches resulted in no induction of mutagenicity in follow-up GLP micro-Ames tests. In summary, root-cause analyses led to accurate mutagenicity assessment for sotorasib DS-associated impurities.

Qualitative assessment of extractables from single-use components and the impact of reference standard selection.

The advent of single-use bioprocess systems used for the delivery, storage or manufacture of biopharmaceuticals has introduced a new potential source for extractables and leachables (E&L) as these systems are comprised of polymeric materials. Several industry working groups, the FDA and USP have issued guidance and draft guidance on E&L analyses for a variety of applications. These documents typically indicate that mass spectrometry should be applied for discovery of E&L's but provide little guidance as to the exact analytical methodology which should be used. We investigated the extractable profiles of a model single-use bioprocessing system consisting of a single-use bioprocess bag, connector tubing, and a hydrophilic disk filter including filter housing. Extractions were performed in water, ethanol, ethanol/water (50:50) and saline solutions. Extracts were analyzed using a stepwise analytical methodology including a variety of screening and mass spectrometry methods We then used this model system to demonstrate the use of recursive feature finding to automatically detect unique extractables followed by statistical filtering to focus on differentially present extractables which were above the analytical evaluation threshold (AET). We further show the significant affects of standard selection on the number of compounds determined to be above AET when reducing liquid chromatography-mass spectrometry (LC/MS) data. A relative response factor database consisting of 14 structurally diverse commercially available polymer additives was used to arrive at an LC/MS identification threshold. The results of this study demonstrate that significant care should be taken when selecting standards for LC/MS analysis to avoid under reporting of extractables and leachables.