结合
抗体-药物偶联物
化学计量学
乳腺癌
药品
化学
聚合物
抗体
组合化学
癌症
药理学
医学
单克隆抗体
免疫学
内科学
有机化学
数学
数学分析
作者
Victor Lehot,Ondřej Lidický,Julien Most,Marc Nothisen,Stéphane Erb,Igor Dovgan,Artem Osypenko,Oleksandr Koniev,Sergii Kolodych,Lenka Kotrchová,Guilhem Chaubet,Sarah Cianférani,Tomáš Etrych,Alain Wagner
出处
期刊:Biomacromolecules
[American Chemical Society]
日期:2025-10-13
卷期号:26 (11): 7309-7318
标识
DOI:10.1021/acs.biomac.5c00598
摘要
In the past two decades, antibody-drug conjugates (ADCs) have emerged as highly effective targeted therapeutics against cancers. One current path to improve ADCs is to increase the amount of cytotoxic payload delivered to cancer cells by conjugating antibodies with a soluble polymer bearing several drug molecules. However, this approach is challenging due to the high molecular weight of the polymer and the need to strictly control the degree of conjugation to maintain favorable pharmacokinetic and binding profiles. Here, we build from the recent development brought to our automated stoichiometric conjugation device to tackle this challenge. We produced a new format of ADC-like targeted therapy: monoconjugated Antibody-Polymer-Drug Conjugates (APDCs) with enzyme-cleavable linkers, designed to achieve selective delivery of the cytotoxic MMAE to HER2+ cancer cells. We showed the selectivity of our conjugates for HER2+ over HER2- cells in vitro and demonstrated their efficiency in vivo in a SKBR-3-xenografted mouse (NOD-SCID) model.
科研通智能强力驱动
Strongly Powered by AbleSci AI