Generation of binder-format-payload conjugate-matrices by antibody chain-exchange
The generation of antibody-drug conjugates with optimal functionality depends on many parameters. These include binder epitope, antibody format, linker composition, conjugation site(s), drug-to-antibody ratio, and conjugation method. The production of matrices that cover all possible parameters is a major challenge in identifying optimal antibody-drug conjugates. To address this bottleneck, we adapted our Format Chain Exchange technology (FORCE), originally established for bispecific antibodies, toward the generation of binder-format-payload matrices (pair-FORCE). Antibody derivatives with exchange-enabled Fc-heterodimers are combined with payload-conjugated Fc donors, and subsequent chain-exchange transfers payloads to antibody derivatives in different formats. The resulting binder-format-conjugate matrices can be generated with cytotoxic payloads, dyes, haptens, and large molecules, resulting in versatile tools for ADC screening campaigns. We show the relevance of pair-FORCE for identifying optimal HER2-targeting antibody-drug conjugates. Analysis of this matrix reveals that the notion of format-defines-function applies not only to bispecific antibodies, but also to antibody-drug conjugates.
Authors
- Stefan Dengl
- Bianca Nussbaum
- Steffen Dickopf (ORCID: https://orcid.org/0000-0003-1975-0226)
- Verena Maier
- Vincent Larraillet
- R. F. Rosenberger
- Ulrich Brinkmann (ORCID: https://orcid.org/0000-0002-5558-0212)
- Tatjana Sela (ORCID: https://orcid.org/0009-0000-5704-263X)
- Vedran Vasic (ORCID: https://orcid.org/0000-0003-2575-1006)
- Jack A. Bates (ORCID: https://orcid.org/0000-0003-2910-6485)
- Harald Duerr
- Klaus Mayer (ORCID: https://orcid.org/0000-0001-9853-2299)
- M Fischer
- Nadine Spranger
Institutions
- Roche (Switzerland) (CH)
- Roche Pharma AG (Germany) (DE)
- Galaxy Biotech (United States) (US)
- Technical University of Munich (DE)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1038/s41467-024-53730-3
- Citations
- 5
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 2.02