Multi-attribute method based characterization of antibody drug conjugates (ADC) at the intact and subunit levels.
Antibody drug conjugates
MAM
Mass spectrometry
Journal
Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336
Informations de publication
Date de publication:
15 Jul 2021
15 Jul 2021
Historique:
received:
10
02
2021
revised:
07
04
2021
accepted:
19
04
2021
pubmed:
7
5
2021
medline:
22
6
2021
entrez:
6
5
2021
Statut:
ppublish
Résumé
Antibody-drug conjugates (ADCs) represent an important class of new biopharmaceutical modalities. ADCs are highly complex and heterogeneous molecules, potentially containing numerous product-related structures, that can contribute to the quality, efficacy and safety of the product. To keep up with product life cycle related changes, wide-range and targeted characterization of product quality attributes (PQA) are of high demand. Multi-attribute methods (MAM) can screen numerous PQAs in a parallel fashion including product properties as well as product and process-related impurities. MAM is usually based on a bottom-up approach relying on the enzymatic digestion of the protein into peptides prior to mass spectrometry (MS). However, this processing workflow can result in considerable information loss, such as the drug distribution profile of an antibody-drug conjugate. Therefore, complementary MAM approaches, based on subunit and intact mass analyses, are necessary approaches offering the advantage of product identity confirmation, quantification of the different conjugated species and monitoring the drug-to-antibody ratio at the same time. In this work we introduce a high throughput MS based attribute tracking method for ADC characterization at the intact and subunit levels by simultaneously monitoring multiple PQAs. The workflow includes sample preparation and MS instrument suitability testing for heterogeneous lysine-linked ADCs, software solutions for routine PQAs tracking, method repeatability and an easy data review fitting perfectly into high throughput analyses. As methionine oxidation is one of the modifications that should be closely monitored at any step of process development, an important application to oxidative stress evaluation using forced degradation demonstrated the applicability of the workflow.
Identifiants
pubmed: 33957368
pii: S0731-7085(21)00205-3
doi: 10.1016/j.jpba.2021.114094
pii:
doi:
Substances chimiques
Antibodies
0
Biological Products
0
Immunoconjugates
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
114094Informations de copyright
Copyright © 2021 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Armelle Martelet, Valerie Garrigue and Bruno Genet are employees of Sanofi. Zoe Zhang and Andras Guttman are employees of Sciex.