Source abstract
Abstract
Recruiting endogenous antibodies to target tumor cells for elimination by the immune system represents a promising therapeutic strategy. Existing antibody-recruiting molecules (ARMs) often suffer from nonspecific binding and limited affinity for endogenous antibodies, hindering their efficacy. In this study, we developed a highly efficient and specific antibody-recruiting molecule, HER2 Nb-poly(Rha), which employs HER2 nanobodies as the cell-binding domain for enhanced recognition and binding to HER2-expressing cancer cells. Additionally, a multivalent rhamnose polymer serves as the antibody-recruiting domain. We synthesized poly(rhamnose) through RAFT polymerization, followed by the preparation of HER2 nanobody-poly(rhamnose) (HER2 Nb-poly(Rha)) using bio-orthogonal click chemistry. The resulting HER2 Nb-poly(Rha) demonstrated superior capacity in recruiting anti-rhamnose antibodies from serum compared to HER2 nanobody conjugated with monovalent rhamnose (HER2 Nb-Rha). Nanobodies, with their stability, specificity, and low immunogenicity, offer a versatile tool for targeting various disease-relevant cell surface receptors. Our approach, leveraging the multivalency of poly(rhamnose), significantly enhances the antibody-recruiting capability, showing the potential to improve the efficacy of antibody recruitment for targeted tumor cell elimination. This strategy presents a promising advancement in cancer immunotherapy by harnessing endogenous antibodies for therapeutic purposes.
Source: openalex_inverted_index · Quality: baseline
Affiliations
Department of Pharmaceutics, Ghent University, Ghent 9000, Belgium
Department of Pharmaceutics, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 Wenhua Xi Road, Shandong, Jinan 250012, China
Molecular Imaging and Therapy Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103/K, Brussels 1090, Belgium
Protein Core, VIB-UGent Center for Inflammation Research, Ghent 9052, Belgium
Funding
China Postdoctoral Science Foundation · Fonds Wetenschappelijk Onderzoek · Horizon 2020 Framework Programme