Auger electron-emitting EGFR-targeted and non-targeted [197Hg]Hg-gold nanoparticles for treatment of glioblastoma multiforme (GBM)
Notice bibliographique
Résumé
Abstract Background We describe here radiation nanomedicines for glioblastoma multiforme (GBM) composed of gold nanoparticles (AuNPs) that integrate the Auger electron-emitter, 197Hg. [197Hg]Hg-AuNPs were conjugated to anti-epidermal growth factor receptor (EGFR) panitumumab or were non-targeted. Our aim was to compare the cytotoxicity and DNA-damaging properties in vitro of panitumumab-[197Hg]Hg-AuNPs and non-targeted [197Hg]Hg-AuNPs on U251-Luc human GBM cells and estimate their cellular dosimetry. We further aimed to compare the biodistribution in vivo of panitumumab-[197Hg]Hg-AuNPs and [197Hg]Hg-AuNPs after convection-enhanced delivery (CED) in NRG mice with U251-Luc tumours in the brain and estimate the absorbed doses in the tumour and surrounding margins of healthy brain. Results [197Hg]Hg-AuNPs (26.8 ± 6.4 nm) were produced with a radiochemical yield of 98 ± 1% by incorporating 197Hg into the Turkevich synthesis method, forming a mercury-gold amalgam. Panitumumab-[197Hg]Hg-AuNPs exhibited high affinity (KD = 1.8 × 10–9 mol/L) binding to EGFR-positive U251-Luc cells. The binding of panitumumab-[197Hg]Hg-AuNPs to U251-Luc cells was 15-fold higher than [197Hg]Hg-AuNPs, and internalization and nuclear uptake were 12-fold and 18-fold greater, respectively. Panitumumab-[197Hg]Hg-AuNPs caused 84-fold more DNA double-strand breaks (DSBs) in U251-Luc cells than [197Hg]Hg-AuNPs. Panitumumab-[197Hg]Hg-AuNPs were ninefold more effective at reducing the clonogenic survival of U251-Luc cells than [197Hg]Hg-AuNPs. Panitumumab-[197Hg]Hg-AuNPs were twofold more cytotoxic than non-radioactive panitumumab-AuNPs (P = 0.04) and fivefold more cytotoxic than panitumumab (P = 0.01). The absorbed doses in the nucleus of U251-Luc cells treated in vitro with panitumumab-[197Hg]Hg-AuNPs or [197Hg]Hg-AuNPs were 8.8 ± 2.9 Gy and 0.6 ± 0.1 Gy, respectively. SPECT/CT imaging showed that panitumumab-[197Hg]Hg-AuNPs and [197Hg]Hg-AuNPs were strongly retained at the infusion site in the brain after CED up to 7 d in NRG mice with orthotopic U251-Luc tumours. Uptake of panitumumab-[197Hg]Hg-AuNPs in the tumour-bearing right hemisphere [484.5% injected dose/g (%ID/g)] was 172-fold and 579-fold greater than in the healthy left hemisphere and cerebellum, respectively. The uptake of [197Hg]Hg-AuNPs (423.9% ID/g) in the tumour-bearing right hemisphere was 85-fold and 64-fold higher than the left hemisphere and cerebellum, respectively. Most normal tissue uptake was < 1% ID/g, except for kidneys (9–20% ID/g), spleen (3.5–6.6% ID/g) and liver (0.6–3.3% ID/g). Dosimetry showed that 58% of the tumour received > 190 Gy for CED of 1.0 MBq of panitumumab-[197Hg]Hg-AuNPs vs. 0.6% of the tumour for non-targeted [197Hg]Hg-AuNPs, but both agents deposited > 50 Gy in 95% of the tumour. Doses decreased dramatically to 1.7 and 3.3 Gy at 1–3 mm from the tumour edge for panitumumab-[197Hg]Hg-AuNPs and [197Hg]Hg-AuNPs, respectively. Conclusion Radiation nanomedicines incorporating the AE-emitter, 197Hg administered by CED are a promising approach to treatment of GBM. Panitumumab-[197Hg]Hg-AuNPs are particularly attractive due to their EGFR-mediated binding, internalization and nuclear importation in GBM cells, which amplifies their in vitro cytotoxicity.
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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) | 0,000 | 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 ».