期刊
ANALYTICAL CHEMISTRY
卷 86, 期 21, 页码 10674-10683出版社
AMER CHEMICAL SOC
DOI: 10.1021/ac502593n
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资金
- OptimAbs network bioclusters (LyonBiopole)
- OptimAbs network bioclusters (Alsace Biovalley)
- DGCIS
- Oseo
- Feder
- Regions Rhone-Alpes
- Regions Rhone-Alsace
- Communaute Urbaine de Strasbourg
- CNRS
- University of Strasbourg
- GIS IBiSA
Antibody drug conjugates (ADCs) are macromolecules composed of cytotoxic drugs covalently attached via a conditionally stable linker to monoclonal antibodies (mAbs). ADCs are among the most promising next generation of empowered mAbs foreseen to treat cancers. Compared to naked mAbs, ADCs have an increased level of complexity as the heterogeneity of conjugation cumulates with the inherent microvariability of the biomolecule. An increasing need underlying ADC's development and optimization is to improve its analytical and bioanalytical characterization by assessing three main ADC quality attributes: drug distribution, amount of naked antibody, and average drug to antibody ratio (DAR). Here, the analytical potential of native mass spectrometry (MS) and native ion mobility MS (IM-MS) is compared to hydrophobic interaction chromatography (HIC), the reference method for quality control of interchain cysteinyl-linked ADCs. Brentuximab vedotin, first in class and gold standard, was chosen for a proof of principle. High resolution native MS provided accurate mass measurement (<30 ppm) of intact ADCs together with average DAR and drug distribution, confirming the unique ability of native MS for simultaneous detection of mixtures of covalent and noncovalent products. Native IM-MS was next used for the first time to characterize an ADC. IM-MS evidenced ADC multiple drug loading, collisional cross sections measurement of each payload species attesting slight conformational changes. A semiquantitative interpretation of IM-MS data was developed to directly extrapolate average DAR and DAR distribution. Additionally, HIC fractions were collected and analyzed by native MS and IM-MS, assessing the interpretation of each HIC peak. Altogether, our results illustrate how native MS and IM-MS can rapidly assess ADC structural heterogeneity and how easily these methods can be implemented into MS workflows for in-depth ADC analytical characterization.
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