Direct Aromatic F-18-labeling of Tetrazines:A Rapid and Convenient Entry to Tetrazines for Pretargeted PET Imaging [Meeting Abstract]
Notice bibliographique
Résumé
134 Introduction: Recently, tetrazines have been successfully developed as pretargeted imaging agents. Particularly, they have been of interest when used with trans-cyclooctene (TCO) modified mAbs for pretargeted immunoimaging due to their fast reaction kinetics in vivo as well as their high specificity. (1) Pretargeting is based on a two-step process in which a TCO-tagged nanomedicine, for example an antibody, is administered and allowed to accumulate followed by a short-lived radiolabeled tetrazine. The latter reagent is able to form a stable covalent conjugate with the TCO through a bioorthogonal reaction. (2,3) This approach results in an enhanced safety profile as well as a higher image quality when compared to conventional radioimmunoimaging. (4) Many attempts to label highly reactive tetrazines with 18F, the most ideal nuclide for PET imaging, have been attempted. However, no successful 18F-direct labeling approach has been reported so far with enough radiochemical yields (RCYs). (5) In this work, we successfully developed a direct aromatic 18F-labeling approach of tetrazines. Methods: Initially, a low reactive methyl-tetrazine was selected as a model compound to evaluate the feasibility of the synthesis and radiolabelling of a set of precursors through direct aromatic fluorinations (Figure 1). Thereafter, the best labeling approach was optimized in respect to labeling conditions varying temperature, time and base amount. In a next step, we studied the substrate scope of the reaction on a set of tetrazines including methyl-, H-, phenyl- and pyridyl- tetrazines (Figure 2). The effect of electron withdrawing and electron donating groups on the aromatic ring was evaluated in terms of synthetic accessibility, radiochemical conversion (RCC) and RCY (Figure 3). Results: Out of all tested labeling reactions, radiolabeling only succeeded through Cu-mediated 18F-fluorination using stannate precursors (Figure 1). Moderate to good RCYs (10-24%) were obtained for methyl-, phenyl- and H-tetrazines. 2-Pyridyl structures were prohibitive, most likely due to a chelation effect of copper with the respective pyridyl moieties of the tetrazines (Figure 2). Subsequently, we investigated which substitution pattern of the H-tetrazine yielded in highest RCYs. Best results were obtained with a 3,5-substitution pattern (Figure 3). Conclusions: This work showed the first 18F-direct labeling strategy of highly reactive tetrazines, starting from organotin precursors via a Cu-mediated approach. The developed procedure is simple, short, reproducible as well as scalable and as such, superior to previously used 18F-multistep labeling strategies with regard to clinical applications. Currently, we are working on the first directly 18F-radiolabeled tetrazine structures, which will be used for pretargeted brain and cancer imaging. Acknowledgments: This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 813528. This project has also received funding from the European Union9s Horizon 2020 research and innovation program under grant agreement No 668532: Click-it.Figure 1. Radiolabeling strategies using different methyl-tetrazine precursors to probe the fluorination.Figure 2. Radiolabeling with Cu-mediated fluorination reaction of higher reactive tetrazines. *The radiolabeled compound was never isolated. †Preliminary studies based on n=2.Figure 3. Study of the RCCs when including in the aromatic ring different linkers. *The stannate precursor was never isolated. **The radiolabeled compound was never isolated.†Preliminary studies based on n=2.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».