“Precision on Two Wheels”─Structural Refinement of 64Cu- and 68Ga-Labeled Bicyclic Peptides Targeting Nectin-4 for Improved Tumor Imaging: From Preclinical Development to First-in-Human Application
Year: 2025
Type: article
Abstract: The cell adhesion protein nectin-4 emerged as a valid therapeutic target for antibody- and peptide-drug conjugates in cancer. To support patient stratification for such targeted therapies, there is a clinical need for molecular imaging agents capable of quantifying nectin-4 levels noninvasively in vivo. For this purpose, we developed 64Cu- and 68Ga-labeled ligands derived from bicyclic peptide-drug conjugate BT8009. A library of peptides was prepared with a major focus on the bioisosteric replacement of the original methionine residue due to its susceptibility to oxidation. The peptides were characterized for their binding behavior to nectin-4, and radiopharmacological characterization of selected radioligands was performed using urothelial carcinoma cell lines and tumor xenograft models derived thereof. The suitability of the most promising ligand from the preclinical studies, NECT-224, for PET imaging purposes was also demonstrated in a first-in-human application using [68Ga]Ga-NECT-224. The results suggest its further clinical development, but also that of [64Cu]Cu-NECT-224.
Source: Journal of Medicinal Chemistry
Authors: Tobias Krönke, Johanna Trommer, Martin Ullrich, Markus Laube, Reik Löser, Jérôme Kretzschmar, Marie Urbanova, Sven Stadlbauer, Florian Brandt, Ivan Platzek, Sebastian Hoberück, Jörg Kotzerke, Christian Thomas, Matthias Miederer, Ralph A. Bundschuh, Klaus Kopka, Jens Pietzsch, Robert Wodtke
Institutions: Helmholtz-Zentrum Dresden-Rossendorf, Technische Universität Dresden, University of Chemistry and Technology, Prague, University Hospital Carl Gustav Carus, Klinik und Poliklinik für Urologie, German Cancer Research Center, Nationales Centrum für Tumorerkrankungen Dresden, German Cancer Consortium (DKTK) Dresden
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Award: G8294245251
OpenAlex ID: W4415110597
