Khan R M Naseer, Zeng Yi, Lanihun Abdul-Azeez A, Arisa Oluwatobi T, Horner Jessica L, Figg William D
Clinical Pharmacology Laboratory, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 5A03, Bethesda, Maryland, 20892, USA.
Clinical Pharmacology Program, Office of the Clinical Director, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
AAPS J. 2025 Sep 4;27(6):138. doi: 10.1208/s12248-025-01115-9.
Antibody-drug conjugates (ADCs) represent a rapidly expanding class of therapeutics, uniquely combining the specificity of monoclonal antibodies with the potency of cytotoxic small-molecule payloads. Due to their inherent structural complexity and heterogeneous composition, accurate characterization and quantification of ADCs pose significant bioanalytical challenges. This review discusses recent advancements in bioanalytical methodologies, including ligand binding assays (LBAs), liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based approaches, and emerging hybrid LBA-LC-MS/MS platforms. In addition, this review will discuss pharmacokinetic (PK) modeling approaches essential to ADC development, ranging from population PK models to mechanistic frameworks, including physiologically based pharmacokinetic (PBPK) and quantitative systems pharmacology (QSP) models. These modeling strategies allow detailed characterization of ADC absorption, distribution, metabolism, and elimination processes while also accounting for complexities introduced by payload deconjugation and drug-to-antibody ratio variability. By integrating robust bioanalytical methods with advanced modeling techniques, this review provides researchers with essential insights to enhance ADC characterization, inform experimental design, and ultimately facilitate the development of safer, more effective therapeutic candidates.
抗体药物偶联物(ADCs)是一类迅速发展的治疗药物,它独特地将单克隆抗体的特异性与细胞毒性小分子载荷的效力结合在一起。由于其固有的结构复杂性和异质组成,对ADCs进行准确的表征和定量带来了重大的生物分析挑战。本综述讨论了生物分析方法的最新进展,包括配体结合分析(LBAs)、基于液相色谱-串联质谱(LC-MS/MS)的方法以及新兴的混合LBA-LC-MS/MS平台。此外,本综述还将讨论ADCs开发中必不可少的药代动力学(PK)建模方法,从群体PK模型到机制框架,包括基于生理的药代动力学(PBPK)和定量系统药理学(QSP)模型。这些建模策略能够详细表征ADCs的吸收、分布、代谢和消除过程,同时还能考虑到载荷去共轭和药物与抗体比率变异性所带来的复杂性。通过将强大的生物分析方法与先进的建模技术相结合,本综述为研究人员提供了重要的见解,以加强ADCs的表征,为实验设计提供信息,并最终促进更安全、更有效的候选治疗药物的开发。