Abstract LB-214: Common genomic alterations in malignant peripheral nerve sheath tumors augment Aurora A activity and sensitize tumors to aurora kinase inhibitors.
Notice bibliographique
Résumé
Abstract Malignant peripheral nerve sheath tumours (MPNST) are rare, hereditary, cancers associated with mutations in the neurofibromin 1 gene 1. MPNSTs are often resistant to chemotherapies and have high rates of disease recurrence, highlighting the lack of effective treatment options for this cancer. Aurora kinase A inhibitors (AKIs) have shown promise against MPNST cell lines 2. We expanded this study by testing AKI in human MPNST xenotransplant mice models. Treatment resulted in stabilized disease with tumor cells undergoing senescence and endoreduplication. Aurora kinase A (AURKA) is an emerging target in cancer, however, targeted therapies can often fail in the clinic due to insufficient knowledge about factors that determine tumor response. Therefore, we utilized three MPNST cell lines and profiled them for the expression and activity of AURKA as well as their responses to AKIs. The most proliferative lines, S462 and 2884, express equivalent levels of AURKA, however, S462 cells were more sensitive to kinase inhibition. Both cell lines experienced apoptosis, senescence and endoreduplication in response to AKI treatment. AURKA activity is regulated by a co-activator, the Targeting Protein for XKlp2 (TPX2) and a molecular brake, the Receptor for Hyaluronan Mediated Motility (RHAMM)3. Interestingly, published analysis of copy number variation has identified hemizygous loss of the RHAMM gene in half of the examined high-grade MPNST, but not in benign or low grade tumors 4. We proposed that MPNSTs with RHAMM deletions are oncogene addicted to AURKA activity and are therefore, particularly susceptible to AKI. We profiled our MPNST lines for RHAMM and TPX2 expression and found that S462 cells express significantly more TPX2 and less RHAMM compared to 2884 cells. Furthermore, S462 cells had increased kinase. To determine whether levels of these molecular regulators could affect AKI efficacy we depleted RHAMM and TPX2 in 2884 and S462 cells respectively. While cells with reduced TPX2 have unchanged responses to AKIs, RHAMM depleted cells have a 2 fold reduction in IC-50s. We also looked at the effect of AKI against a population of MPNST tumor-initiating cells (TICs) from the S462 line. Compared to adherent cells, S462 TICs have elevated AURKA activity and their ability to self-renew in vitro is arrested by AKI. Indeed, the altered levels of kinase activity in the RHAMM and TPX2 depletion lines correlated with their ability to form and maintain sphere culture. In addition, we find that AKI treated S462 TICs differentiated into terminal neurons. All in all, these data indicate AURKA as a rational therapy for aggressive MPNSTs with RHAMM serving as a biomarker for AKI efficacy. Citation Format: Pooja Mohan, Joan Castellsague, Jihong Jiang, Kristi Allen, Helen Chen, Oksana Nemirovsky, Melanie Spyra, Kaiji Hu, Lan Kluwe, Miguel Pujana, Alberto Villanueva, Victor Mautner, Sandra Dunn, Jonathan Keats, Conxi Lazaro, Christopher Maxwell. Common genomic alterations in malignant peripheral nerve sheath tumors augment Aurora A activity and sensitize tumors to aurora kinase inhibitors. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr LB-214. doi:10.1158/1538-7445.AM2013-LB-214
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) | 0,000 | 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) | 0,003 | 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 ».