Abstract B34: Coordinated delivery of anticancer drug combinations incorporating molecularly targeted agents provides markedly increased plasma drug exposure, decreased toxicity and increased efficacy in preclinical tumor models
Notice bibliographique
Résumé
Abstract Background: Coordinated delivery of established chemotherapy combinations at synergistic drug ratios via nano-scale delivery vehicles has provided marked improvements in efficacy both preclinically and clinically. Many molecularly targeted agent (MTA) combinations have experienced difficulties in achieving optimal target inhibition without inducing dose limiting toxicities. Here we report the application of CombiPlex® technology to combinations incorporating MTAs for which optimal therapeutic effects require simultaneous tumor cell exposure. Methods: Prodrugs conjugates were synthesized for the HSP90 inhibitor AUY922 (AUY), docetaxel (DOC), the MEK inhibitor selumetinib (SEL) and Akt inhibitor ipatasertib (IPA) using cholesterol as a hydrophobic anchor joined via hydrolysable linkers that regenerate the parent drugs upon cleavage. These prodrugs were co-formulated in hydrophobic prodrug nanoparticles (HPN) by rapid mixing in the presence of surface stabilizing block co-polymers. Formulation compositions were iteratively optimized to achieve prolonged plasma drug concentrations while coordinating the PK of the combined agents. The tolerability and efficacy of the HPN combinations were compared to the free drug combinations administered in their conventional formulations. Results: AUY and DOC anchored to cholesterol via a diglycolate linker could be stably co-formulated in HPNs with a mean diameter of ∼65nm using a range of surface stabilizing block co-polymers. Using PLA-PEG block co-polymers, HPN-associated drugs exhibited no early distribution phase and virtually identical PK for AUY and DOC with a plasma half-life in mice of >12hr. Plasma concentrations of both agents over 24h were 2- to 4-orders of magnitude higher than for the free drugs. Similar PK results were obtained with the SEL:IPA combination. Combined IV treatment with DOC and AUY as the conventional free drugs led to significant increases in toxicity such that the DOC dose had to be reduced by 67% and the AUY dose had to be reduced by 60%. In contrast, when co-formulated in HPNs, both drugs could be administered with only a 30% dose reduction. In human xenograft tumor models (taxane resistant as well as taxane sensitive), the HPN formulation of AUY:DOC provided increased tumor growth inhibition; quantitative analysis of tumor growth delay revealed a 5-fold increase in antitumor activity compared to the free drug combination in the HCT15 model. A range of AUY:DOC drug ratio HPN formulations were also tested to identify the optimally efficacious drug ratio. HPN formulations of SEL:IPA also displayed improved tolerability compared to the free drug combination, particularly in view of the lower bioavailability for the agents administered in their oral dosing forms, while providing significant antitumor efficacy. Conclusions: HPN-mediated coordinated delivery of drug combinations incorporating molecularly targeted agents can favorably shift the PK/PD profile resulting in an improved therapeutic index. Initial results suggest this may expand the utility of combinations that to date have been limited by toxicities associated with dosing regimens aimed at ensuring simultaneous and durable multi-target inhibition. Citation Format: Lawrence D. Mayer, Paul Tardi, Sherwin Xie, Barry Liboiron, Winnie Lui, Leon Wan. Coordinated delivery of anticancer drug combinations incorporating molecularly targeted agents provides markedly increased plasma drug exposure, decreased toxicity and increased efficacy in preclinical tumor models. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2015 Nov 5-9; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl 2):Abstract nr B34.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 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 tête enseignante, 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 ».