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High-Throughput, Multispecies, Parallelized Plasma Stability Assay for the Determination and Characterization of Antibody-Drug Conjugate Aggregation and Drug Release.
Durbin, Kenneth R; Nottoli, M Shannon; Catron, Nathaniel D; Richwine, Nicole; Jenkins, Gary J.
Afiliación
  • Durbin KR; Drug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
  • Nottoli MS; Drug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
  • Catron ND; Drug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
  • Richwine N; Drug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
  • Jenkins GJ; Drug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
ACS Omega ; 2(8): 4207-4215, 2017 Aug 31.
Article en En | MEDLINE | ID: mdl-30023717
ABSTRACT
The stability of antibody-drug conjugates (ADCs) in circulation is critical for maximum efficacy and minimal toxicity. An ADC reaching the intended target intact can deliver the highest possible drug load to the tumor and reduce off-target toxicity from free drug in the blood. As such, assessment of ADC stability is a vital piece of data during development. However, traditional ADC stability assays can be manually intensive, low-throughput, and require large quantities of ADC material. Here, we introduce an automated, high-throughput plasma stability assay for screening drug release and aggregation over 144 h for up to 40 ADCs across five matrices simultaneously. The amount of ADC material during early drug development is often limited, so this assay was implemented in 384-well format to minimize material requirements to <100 µg of each ADC and 100 µL of plasma per species type. Drug release and aggregation output were modeled using nonlinear regression equations to calculate formation rates for each data type. A set of 15 ADCs with different antibodies and identical valine-citrulline-p-aminobenzylcarbamate-monomethylauristatin E linker-drug payloads was tested and formation rates were compared across ADCs and between species, revealing several noteworthy trends. In particular, a wide range in aggregation was found when altering only the antibody, suggesting a key role for plasma stability screening early in the development process to find and remove antibody candidates with the potential to create unstable ADCs. The assay presented here can be leveraged to provide stability data on new chemistry and antibody screening initiatives, select the best candidate for in vivo studies, and provide results that highlight stability issues inherent to particular ADC designs throughout all stages of ADC development.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Omega Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Omega Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
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