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Updated: Jan 30, 2026

Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
Published on: January 29, 2019
Pharmacokinetic Optimization of Radiocopper-Based Theranostic Pretargeting
Mike A Cornejo1,2,3, Zachary V Samuels1,2,3, Gina Dehlavi1,2,4,5
1Department of Chemistry, Hunter College, The City University of New York, New York, New York 10021, United States.
Abstract:
In vivo pretargeting offers a strategy to improve nuclear imaging and radiopharmaceutical therapy by increasing tumor-to-background activity concentration ratios and decreasing radiation burden to healthy tissues. One particularly promising approach to in vivo pretargeting is predicated on the inverse electron-demand Diels-Alder (IEDDA) ligation between tetrazine (Tz)-based radioligands and trans-cyclooctene (TCO)-bearing immunoconjugates. Not surprisingly, the performance of such systems is highly dependent upon the pharmacokinetic profiles of the small molecule radioligands. Herein, we report the synthesis and characterization of a trio of sarcophagine-bearing tetrazines─SarAr-Tz, SarAr-PEG5-Tz, and SarAr-PEG10-Tz─as well as their radiolabeling with copper-64 (64Cu, t1/2 ∼ 12.7 h), a positron-emitting radioisotope of copper. These radioligands were paired with a TCO-bearing variant of the A33 antigen-targeting antibody huA33 (i.e., huA33-TCO) for pretargeted immunoPET in a murine model of colorectal cancer, revealing that all three produced images with excellent tumor-to-background contrast, but [64Cu]Cu-SarAr-PEG10-Tz yielded the best tumor-to-tissue activity concentration ratios. In light of its superior performance, SarAr-PEG10-Tz was subsequently radiolabeled with copper-67 (67Cu, t1/2 ∼ 61.8 h), a β--emitting radioisotope of copper, to produce [67Cu]Cu-SarAr-PEG10-Tz. This radioligand was then paired with huA33-TCO for in vivo biodistribution and longitudinal therapy studies, ultimately revealing that pretargeted radioimmunotherapy with [67Cu]Cu-SarAr-PEG10-Tz exhibits promising efficacy and safety in a murine model of colorectal cancer.
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