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Enregistrement W2283437114 · doi:10.1093/neuonc/nov165

Neddylation in glioblastomas

2015· letter· en· W2283437114 sur OpenAlexaff
Sheila Mansouri, Gelareh Zadeh

Notice bibliographique

RevueNeuro-Oncology · 2015
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueUbiquitin and proteasome pathways
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésNeddylationNEDD8CullinUbiquitin ligaseUbiquitinCell biologyCell cycleBiologyCancer cellProtein degradationChemistryBiochemistryCancerCellGenetics

Résumé

récupéré en direct d'OpenAlex

Protein degradation is a highly regulated process that is required for maintaining cellular homeostasis, and its deregulation is associated with development of a number of diseases including cancer. Neddylation is a posttranslational modification that involves conjugation of the ubiquitin-like protein NEDD8 (neural precursor cell expressed, developmentally downregulated) to target proteins such as oncoproteins and tumor suppressors to regulate their functions through a cascade of enzymes including NEDD8-activating enzyme (E1), NEDD8-conjugating enzyme (E2), and NEDD8 ligases (E3).1 As such, the neddylation pathway presents an attractive oncogenic target for development of anticancer therapies. The main cellular substrates for neddylation include components of the Cullin-RING E3 ligase (CRL), which is the largest multicomponent ubiquitin ligase family regulating the turnover of multiple tumor suppressor proteins such as p21, p27, and NF-Kappa-B Inhibitor Alpha, among others (Fig. 1A).2 An overview of posttranslational NEDDylation of cullin (CUL) and its disruption by MLN4924. NEDDylation of CUL involves the transfer of the ubiquitin-like molecule NEDD8 (neural precursor cell expressed, developmentally downregulated 8) to CUL by NEDD8-activating enzyme E1 (NAE), NEDD8 conjugating enzyme E2 (UBE2M/Ubc12, UBE2F), and the NEDD8-E3 ligase cascade. MLN4924 is a highly potent and selective first-in-class inhibitor of NAE activity that covalently binds to the active site of the NAE and leads to inactivation of CRL and accumulation of its substrates, including tumor suppressor proteins p21 and p27 (A). Treatment of glioma cell lines with MLN4924 results in inhibition of cell cycle progression at the G2 phase and induction of apoptosis or senescence in a cell line-dependent manner. Administration of MLN4924 to an orthotopic xenograft model of glioblastoma (GBM) causes formation of smaller tumors expressing lower levels of proliferation marker Ki67 and increased amounts of the cell cycle regulator protein p21. This study identifies a potential new drug for targeting GBMs through specific inhibition of NAE. In an elegant study, Hua et al systematically investigated the effectiveness of the NAE inhibitor, MLN4924, against glioblastoma (GBM) in vitro and in vivo. MLN4924 is a newly developed small molecule inhibitor of the neddylation pathway that specifically inhibits NAE by binding to its active site and hindering its enzymatic activity.3 Several other groups have shown that treatment of cancer cells with MLN4924 results in induction of DNA damage response, cell cycle arrest, apoptosis, or senescence.4,5 MLN4924 is currently under investigation in several phase 1/2 clinical trials for multiple solid tumor types and hematologic malignancies.6 The ability of MLN4924 to cross the blood-brain barrier, its low toxicity, and clinical efficacy in other cancers suggests that this drug is an attractive treatment against GBM. Analysis of overall survival of GBM patients, as well as correlation with expression of global protein neddylation, indicated that higher global protein neddylation correlates with poor patient survival. They also found that GBM tumors generally express higher levels of NEDD8 and neddylation enzymes such as NAE1/UBA3 and UBC12 compared with adjacent normal brain tissue, with recurrent GBM tumors displaying even higher global protein neddylation. These findings further supported their hypothesis that MLN4924 could be considered as a therapeutic option for GBM and that an overactivated neddylation pathway may play a role in the development or progression of GBM. Analysis of MLN4924's effect on cellular proliferation showed that this drug induces G2 cell cycle arrest in GBM cells, followed by the induction of apoptosis or senescence depending on the cell line used (Fig. 1B). Although it is likely that increased expression of CRL substrates, such as p21 and p27, is responsible for this effect, it would be interesting to see how other glioma cell lines routinely used in the laboratory and primary cells such as glioma stem cells would react to this treatment and exactly what mechanism is associated with that outcome. On the other hand, results from in vivo experiments conducted in orthotopic xenograft mouse models of human GBM indicated that MLN4924 was highly effective at suppressing the growth of tumors without major adverse reactions. Consistent with their work in glioma cell lines, Hua et al discovered through immunohistochemical analysis that the level cellular proliferation marker Ki67 was reduced, whereas the expression of cell cycle inhibitor p21 increased in tumor sections obtained from xenografted mice treated with MLN4924 (Fig. 1B). While the results also demonstrated a decrease in global protein neddylation, analysis of dose response to MLN4924 and relative expression of these marker proteins would be highly informative. A notable finding of this study is that recurrent GBMs show higher neddylation activity than primary GBM, suggesting that follow-up studies should focus on testing the effect of MLN4924 treatment on GBM recurrence and its effect on sensitivity of cells and tumors to chemotherapy and radiation treatment. While these analyses may be the focus of future investigations, results from the work performed by Hua et al suggest promising therapeutic potential for MLN4924. In addition, their findings suggest that it may be possible to stratify patients based on their neddylation activity profile and use this information to predict outcomes for treatment with a potentially specific anticancer drug such as MLN4924.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,025
Tête enseignante GPT0,281
Écart entre enseignants0,256 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2015
Routes d'admission1
Résumé présentoui

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