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Enregistrement W2987444835 · doi:10.1182/blood-2019-128450

A Novel Cereblon E3 Ligase Modulator Eradicates Acute Myeloid Leukemia Stem Cells through Degradation of Translation Termination Factor GSPT1

2019· article· en· W2987444835 sur OpenAlexaff
Liqing Jin, Nathan Mbong, Stanley Ng, Jean Wang, Mark D. Minden, Jinhong Fan, Daniel W. Pierce, Michael Pourdehnad, John E. Dick

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueProtein Degradation and Inhibitors
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésStem cellHaematopoiesisProgenitor cellCancer researchBiologyIntegrated stress responseLeukemiaMyeloid leukemiaCell biologyMyeloidImmunologyTranslation (biology)Genetics

Résumé

récupéré en direct d'OpenAlex

Acute myeloid leukemia (AML) is a clonal malignant disease initiated and propagated by leukemia stem cells (LSCs). Both LSCs and normal hematopoietic stem cells (HSCs) share many biological properties including self-renewal and quiescence. One such shared property that we have recently established involves the pro-survival features of proteostatic stress signaling. Stem cells have reduced protein translation initiation due to scarcity of the eIF2α translation initiation complex (van Galen et al Nature 2014; Cell Reports 2018). This in turn, increases the activity of activating transcription factor 4 (ATF4) uniquely in HSCs and LSCs. In homeostasis, this level of ATF4 facilitates stem cell persistence and survival, but upon stronger stress activation stem cell apoptosis ensues. This mechanism predicts that agonists of the integrated stress response (ISR) could provide a novel therapeutic approach to eradicate LSCs. Here we report that the novel cereblon E3 ligase modulator (CELMoD) CC-90009, which causes degradation of the translation termination factor G1 to S phase transition protein 1 (GSPT1) and downstream activation of ISR, is potent against primary AML both in vitro and in vivo, and reduces self-renewing LSCs in preclinical xenograft models for human AML. We first carried out in vitro assays to evaluate the effect of CC-90009 on primary AML samples. We found that CC-90009 degraded GSPT1 in primary AML cells and induced leukemic cell apoptosis in 24 hours. Leukemic colony forming progenitors were also reduced by CC-90009 in a dose-dependent manner. We next tested the efficacy of CC-90009 against primary AML samples in xenografts in NOD/SCID mice. Leukemia cells were transplanted intrafemorally 21 days prior to CC-90009 treatment. Mice were treated with vehicle or CC-90009 at 2.5mg/kg BID for 4 weeks. Heterogeneous responses to the CC-90009 treatment were observed. Of 35 AML samples tested, 16 were highly responsive to CC-90009 with >75% reduction of AML engraftment, 10 showed moderate response between 45% and 75% reductions, and 9 showed reductions of <25%. AML is clinically characterized by accumulation of blasts that are impaired for differentiation and maturation. We observed that, in addition to the reduction of total AML graft, CC-90009 also induced myeloid differentiation of AML blasts in the CC-90009 responders, as evidenced by increases in late myeloid cell surface markers (CD14, CD15 and CD11b) and reductions of the immature marker CD34. To determine the efficacy of CC-90009 against AML cases at high risk of relapse following standard induction chemotherapy, we assessed CC-90009 efficacy vs. the status of an expression-based 17-gene leukemia stem cell score (the LSC17 score) that was recently implemented for rapid risk stratification of AML patients (Ng et al, Nature 2016). LSC17-high patients are predicted to have poor treatment response and poor clinical outcome. We found that, while 8 out of 9 poor responders to CC-90009 had high LSC17 scores, 20 out of 28 samples that had high LSC17 scores responded well to CC-90009, indicating that the drug is able to target high risk cases. Serial transplantation utilizing limiting dilution analysis showed that CC-90009 targeted self-renewing LSCs. Our data established that a new CELMoD CC-90009 has anti-proliferative effects on human primary AML cells and self-renewing LSCs evaluated in xenograft assays. These observations provide important implications for CC-90009 in its clinical development as a new therapeutic agent to treat AML patients with high risk disease when treated with standard of care therapies. Currently, a phase I study evaluating CC-90009 in relapsed or refractory AML is ongoing (CC-90009-AML-001; NCT02848001). Disclosures Jin: Trillium Therapeutics: Other: licensing agreement. Ng:Celgene: Research Funding. Wang:Pfizer AG Switzerland: Honoraria, Other: Travel and accommodation; Trilium therapeutics: Other: licensing agreement, Research Funding; NanoString: Other: Travel and accommodation; Pfizer International: Honoraria, Other: Travel and accommodation. Minden:Trillium Therapetuics: Other: licensing agreement. Fan:Celgene Corporation: Employment, Equity Ownership. Pierce:Celgene Corporation: Employment, Equity Ownership. Pourdehnad:Celgene Corporation: Employment, Equity Ownership.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,678

Scores Codex et Gemma par catégorie

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 recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,229
Écart entre enseignants0,216 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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

En bref

Citations12
Publié2019
Routes d'admission1
Résumé présentoui

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