Resolving the micro-heterogeneity and structural integrity of monoclonal antibodies by hybrid mass spectrometric approaches

For therapeutic monoclonal antibodies (mAbs), detailed analysis of the structural integrity and heterogeneity, which results from multiple types of post-translational modifications (PTMs), is relevant to various processes, including product characterization, storage stability and quality control. Despite the recent rapid development of new bioanalytical techniques, it is still challenging to completely characterize the proteoform profile of a mAb. As a nearly indispensable tool in mAb analysis, mass spectrometry (MS) provides unique structural information at multiple levels. Here, we tested a hybrid strategy for the comprehensive characterization of micro-heterogeneity by integrating 2 state-of-the-art MS-based approaches, high-resolution native MS and targeted glycan profiling, to perform complementary analysis at the intact protein level and released glycan level, respectively. We compared the performance of these methods using samples of engineered half-body IgG4s and a panel of mAbs approved for human use. The glycosylation characterization data derived from these approaches were found to be mutually consistent in composition profiling, and complementary in identification and relative-quantitation of low-abundant uncommon glycoforms. In addition, multiple other sources of micro-heterogeneity, such as glycation, lack of glycosylation, and loss of light chains, could be detected by this approach, and the contribution of multiple types of modifications to the overall micro-heterogeneity could be assessed using our superposition algorithm. Our data demonstrate that the hybrid strategy allows reliable and thorough characterization of mAbs, revealing product characteristics that would easily be missed if only a single approach were used.     

The effects of somatic mutations on EGFR interaction with anti-EGFR monoclonal antibodies: Implication for acquired resistance

A number of mutations in the epidermal growth factor receptor (EGFR) have been identified that imparts resistance to anti-EGFR monoclonal antibodies (mAbs) in clinical and preclinical samples. Primary or acquired resistance to targeted therapy will eventually limit the clinical benefit of anticancer mAbs. The aim of the current study was to perform computational analysis to investigate the structural implications of the EGFR somatic mutations on its complexes with the four anti-EGFR mAbs (Cetuximab, Panitumumab, Necitumumab, and Matuzumab). Docking analysis and molecular dynamics (MD) simulations were performed to understand the plausible structural and dynamical implications caused by somatic mutations available in the Catalogue of Somatic Mutations in Cancer database on the EGFR and anti-EGFR mAbs. We found that EGFR^S492R and EGFR^V441I in complex with Cetuximab, EGFR^R377S and EGFR^S447Y in complex with Panitumumab, and EGFR^V441I in complex with Necitumumab have a weakest binding affinity in comparison to EGFR^WT in complex with the relevant mAb. Taken together with the results obtained from docking analysis and MD simulations, the present findings may suggest that, the S492R and V441I mutations confer resistance to Cetuximab, R377S and S447Y mutations mediate resistance to Panitumumab and finally, V441I mutation also confers resistance to Necitumumab.