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Translational PK/PD framework for antibody-drug conjugates to inform drug discovery and development.
Liao, Michael Z; Leipold, Douglas D; Chen, Shang-Chiung; Li, Zao; Kamath, Amrita V; Li, Chunze.
Afiliação
  • Liao MZ; Genentech Inc., South San Francisco, CA, 94080.
  • Leipold DD; Genentech Inc., South San Francisco, CA, 94080.
  • Chen SC; Zymeworks, Vancouver BC, Canada V5T 1G4.
  • Li Z; Genentech Inc., South San Francisco, CA, 94080.
  • Kamath AV; Genentech Inc., South San Francisco, CA, 94080.
  • Li C; Genentech Inc., South San Francisco, CA, 94080.
Xenobiotica ; : 1-11, 2024 May 13.
Article em En | MEDLINE | ID: mdl-38738473
ABSTRACT
(171/200)ADCs represent a transformative class of medicine that combines the specificity of monoclonal antibodies with the potency of highly cytotoxic agents through linkers, aiming to enhance the therapeutic index of cytotoxic drugs. Given the complex molecular structures of ADCs, combining the molecular characteristics of small-molecule drugs and those of large-molecule biotherapeutics, there are several unique considerations when designing nonclinical-to-clinical PK/PD translation strategies.This complexity also demands a thorough understanding of the ADC's components-antibody, linker, and payload-to the overall toxicological, PK/PD, and efficacy profile. ADC development is a multidisciplinary endeavor requiring a strategic integration of nonclinical safety, pharmacology, and PK/PD modeling to translate from bench to bedside successfully.The ADC development underscores the necessity for a robust scientific foundation, leveraging advanced analytical and modeling tools to predict human responses and optimize therapeutic outcomes.This review aims to provide an ADC translational PK/PD framework by discussing unique aspects of ADC nonclinical to clinical PK translation, starting dose determination, and leveraging PK/PD modeling for human efficacious dose prediction and potential safety mitigation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article