Abstract 1943: High-throughput chemical screening identifies Focal Adhesion Kinase and Aurora Kinase B inhibition as a synergistic treatment combination in Ewing sarcoma
Notice bibliographique
Résumé
Abstract Ewing sarcoma is the second most common bone malignancy of childhood. Current treatment employs chemotherapy, surgery, and radiation. Although this approach cures approximately 70% of patients with localized disease, treatments are largely ineffective for patients with metastases or relapse. Furthermore, these treatments are associated with an alarming rate of long-term toxicities. New treatment combinations are necessary to improve cures and lower toxicities for these patients. We recently found that Ewing sarcoma is dependent on focal adhesion kinase (FAK) for cell viability and tumor proliferation. In order to identify candidate treatment combinations for Ewing sarcoma, we performed a screen of 1912 compounds to identify those with synergistic anti-Ewing activity when combined with FAK inhibition. The A673 Ewing cell line was treated with PF-562271, a FAK-specific inhibitor, in combination with compounds from the Mechanism Interrogation PlatE (MIPE) 4.0 library. Cell viability was measured after 48 hours of treatment. Multiple computational metrics were utilized to identify and rank all compound combinations for synergistic impairment of cell viability. Multiple Aurora kinase inhibitors scored as synergistic with FAK inhibition in this screen. Aurora kinases are important in the regulation of mitosis and are highly expressed in Ewing sarcoma tumors and cell lines. We found that Aurora kinase B inhibitors were synergistic across a larger range of concentrations than Aurora kinase A inhibitors when combined with FAK inhibition in multiple Ewing cell lines. We found that AZD-1152, an Aurora kinase B-selective inhibitor, and PF-562271 when used in combination induced apoptosis in Ewing cells at concentrations that had minimal effect on cell survival when either drug was used alone. We also found that the combination significantly impaired tumor proliferation in zebrafish xenograft models of Ewing sarcoma and prolonged survival in murine xenografts compared to either single-agent treatment alone. Interestingly, treatment with AZD-1152 alone also significantly impaired tumor proliferation and prolonged survival compared to vehicle treatment in a mouse xenograft model of Ewing sarcoma. Our data demonstrate that FAK and Aurora kinase B inhibition synergistically impair Ewing sarcoma cell viability in vitro and significantly inhibit tumor proliferation in vivo. With multiple FAK and Aurora kinase inhibitors in early phase trials for adult malignancies, these results have the potential to be translated into clinical trials for patients with Ewing sarcoma. Previous studies have also suggested a dependency of Ewing sarcoma on Aurora kinase activity; our data further supports a role for Aurora kinase B inhibitors as therapeutic candidates in this disease. Citation Format: Brian Crompton, Sarah Wang, Elizabeth Hwang, Rajarshi Guha, Matthew Boxer, Crystal McKnight, Min Shen, Nicole Melong, Chansey Veinotte, Amy Conway, Jason Berman, Matthew Hall, Mindy Davis, Kimberly Stegmaier. High-throughput chemical screening identifies Focal Adhesion Kinase and Aurora Kinase B inhibition as a synergistic treatment combination in Ewing sarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1943. doi:10.1158/1538-7445.AM2017-1943
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».