Abstract PO-100: Theragnostic tumor-targeted manganese dioxide-loaded polymer-lipid nanoparticles for magnetic resonance image-guided radiation therapy
Notice bibliographique
Résumé
Abstract Background: Magnetic resonance image-guided radiation therapy (MRgRT) is a new-generation approach to improving treatment outcomes by allowing real-time precise tumor delineation that guides the radiation. However, the existing gadolinium-based contrast agents (GBCAs) are insufficient for MRgRT due to their severe side effects and rapid clearance from the tumor that requires multiple injections to maintain the signal. In addition, tumor hypoxia induced radiation resistance, which attenuates the RT efficacy. To date, there is no FDA-approved contrast agent with high safety and efficacy profile exhibiting both MR signal enhancement and RT sensitization capabilities. Based on our previous findings that manganese-dioxide nanoparticles (MDNP) can convert tumoral ROS (H2O2) into O2 to reduce hypoxia and sensitize RT, we propose the design of a novel tumor-targeting manganese-dioxide nanoparticle (MDNP) with dual MRI and RT enhancement functionalities. In this work, we evaluate the safety profile, biodistribution, in vivo clearance, MR contrast enhancement, and radiation sensitization effect of the MDNPs. Methods: Terpolymer-based MDNP (T-MDNP) were prepared by loading MnO2 precursor in a polymer-lipid matrix. Physicochemical properties and stability of NPs were determined by TEM, DLS, and zeta potential measurements. In vitro cellular uptake by cancer cells was measured via confocal microscopy. The biocompatibility and safety of the NPs was examined in vitro and in vivo. Tissue distribution, clearance, and tumor retention of T-MDNPs was evaluated using MRI and ICP. The tumoral MR signal enhancement by T-MDNP as a function of time was measured and compared with Gadavist™ (gadobutrol) in murine tumor models with human MDA-MB-231 breast or prostate PC3 xenografts. The ability of NPs to modulate tumor microenvironment (TME) and enhance RT efficacy was also evaluated. Results: The prepared T-MDNPs were 120 nm in size and exhibited excellent storage stability at room temperature and 4°C. The NPs showed negligible hemolysis effect suggesting their suitability for intravenous (IV) injection. As a result of in situ generation of Mn+2 ions via the reaction with tumoral ROS, a single dose of 70 μmole Mn/kg of body weight of T-MDNP increased tumor T1 signal by up to 1.4-fold and maintained it up to 4 hrs, while Gadavist™ was eliminated in about 30 min. The NPs were completely cleared from major organs in 72 hrs, as determined by MRI and ICP. Combination of NP treatments with RT resulted in significantly increased median survival time by 2-fold in human PC3 prostate model and 5-fold in human breast tumor model. Conclusions: Our results have demonstrated that the T-MDNPs are safe and effective as a dual MR contrast agent and radiation sensitizer. This system is promising for precise tumor margin delineation, maintaining MR signal in tumor for a duration needed for MRgRT, and improving RT efficacy. These properties make it an excellent candidate and the first-in-class entity that can be utilized with MRgRT. Citation Format: Charles Yen, Azhar Z. Abbasi, Chunsheng He, Mohammad Ali Amini, Hoyin Lip, Michael Rauth, Xiao Yu Wu. Theragnostic tumor-targeted manganese dioxide-loaded polymer-lipid nanoparticles for magnetic resonance image-guided radiation therapy [abstract]. In: Proceedings of the AACR Virtual Special Conference on Radiation Science and Medicine; 2021 Mar 2-3. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(8_Suppl):Abstract nr PO-100.
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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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».