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Enregistrement W2913903457 · doi:10.1182/blood-2018-99-119688

Combination of Enasidenib and Venetoclax Shows Superior Anti-Leukemic Activity Against IDH2 Mutated AML in Patient-Derived Xenograft Models

2018· article· en· W2913903457 sur OpenAlexaff
Séverine Cathelin, David Sharon, Amit Subedi, Dan Cojocari, Darren C. Phillips, Joel D. Leverson, Kyle J. MacBeth, Brandon Nicolay, Rohini Narayanaswamy, Sébastien Ronseaux, Guowen Liu, Steven M. Chan

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxIDH2MedicineCancer researchPharmacologyIsocitrate dehydrogenaseRefractory (planetary science)Internal medicineOncologyMutantLeukemiaChemistryBiologyIDH1EnzymeGeneBiochemistryChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Mutations in isocitrate dehydrogenase 2 (IDH2) promote AML pathogenesis through production of 2-hydroxyglutarate (2-HG). Enasidenib is an inhibitor of mutant IDH2 activity and induces the differentiation of IDH2-mutated leukemic blasts. In a phase I/II clinical trial, enasidenib monotherapy resulted in an overall response rate of 40% and median duration of response of 6 months in relapsed/refractory AML (Stein et. al. Blood 2017). We previously discovered that mutant IDH activity sensitizes AML cells to BCL-2 inhibition through accumulation of 2-HG (Chan et. al. Nature Medicine 2015). Pharmacologic inhibition of BCL-2 activity with venetoclax, a highly specific BH3 mimetic, preferentially targets IDH-mutated human AML cells. In a phase II clinical trial of venetoclax monotherapy, IDH-mutated relapsed/refractory AML patients had a response rate of 33% compared to 10% in IDH-wildtype patients (Konopleva et. al. Cancer Discovery 2016). Based on the above findings, we hypothesized that combination therapy with enasidenib and venetoclax may demonstrate superior anti-leukemic activity in comparison to single agents in the treatment of IDH2-mutant AML. However, given that the mechanism by which IDH mutations increase BCL-2 dependence is via 2-HG, reduction of 2-HG with enasidenib may antagonize venetoclax activity. As such, we further hypothesized that a sequential dosing schedule may be superior to concurrent dosing. To test our hypotheses, we conducted a preclinical study to evaluate the efficacy of monotherapy versus combination therapy in reducing the leukemic burden in three patient-derived xenograft (PDX) models of human IDH2-mutant AML. All three PDX models were derived from samples with co-occurring IDH2R140Q and NPM1c mutations. Engrafted animals were randomly assigned to one of six treatment arms (N=5 per arm): vehicle (arm 1), enasidenib alone (arm 2), venetoclax alone (arm 3), concurrent combination (arm 4), and sequential combinations (arms 5 and 6; see Figure 1 for details). Enasidenib and venetoclax were administered by oral gavage at a dose of 40 mg/kg twice a day and 100 mg/kg daily, respectively. Tumor burden was measured in bone marrow samples collected immediately prior to treatment and every 2 weeks during the 12-week treatment period. Concurrent combination treatment (arm 4) resulted in the greatest reduction in leukemia engraftment compared to all other treatment arms, including the sequential dosing arms, in two of the three models (#1 and #2, henceforth termed "responders"; Figure 2A). Although venetoclax monotherapy reduced engraftment in all three models, persistent disease above a threshold of 0.1% was detectable in 12 of 13 animals by flow cytometry (9 of 13 by ddPCR) after 12 weeks of treatment (Figure 2B). In contrast, disease was detectable in only 2 of 9 animals (0 of 9 by ddPCR) treated with concurrent therapy in responders. In the remaining model (#3, henceforth termed "non-responder"), combination therapy was not superior to venetoclax monotherapy but importantly, co-treatment with enasidenib did not antagonize venetoclax activity. Interestingly, enasidenib monotherapy increased expression of myeloid differentiation markers, CD15 and CD11b, only in responders, indicating that differentiation might be a precondition for responsiveness to concurrent therapy. We confirmed that the lack of response in non-responders was not due to selection of an IDH2 wildtype clone or failure to block 2-HG production by enasidenib. To gain insights into the mechanism by which enasidenib might enhance venetoclax sensitivity, we performed quantitative intracellular flow cytometry staining for the anti-apoptotic proteins BCL-2, BCL-xL and MCL-1 in leukemic cells collected after 12 weeks of treatment. Enasidenib monotherapy resulted in a significant decrease in BCL-2 expression in responders. The reduction in anti-apoptotic protein expression could potentiate mitochondrial priming and sensitization to venetoclax. In summary, our findings demonstrate that concurrent combination therapy with enasidenib and venetoclax is a promising therapeutic approach for IDH2-mutated AML. Responsiveness to combination therapy is associated with enasidenib-induced differentiation and reduction in anti-apoptotic protein expression. Our findings support ongoing and future clinical investigations in combination therapies with mutant IDH and BCL-2 inhibitors. Disclosures Cojocari: AbbVie Inc: Employment. Phillips:AbbVie Inc: Employment, Equity Ownership, Patents & Royalties. Leverson:AbbVie Inc: Employment, Equity Ownership, Patents & Royalties. MacBeth:Celgene Corporation: Employment, Equity Ownership. Nicolay:Agios: Employment. Narayanaswamy:Agios: Employment. Ronseaux:Agios: Employment. Liu:Agios: Employment, Equity Ownership. Chan:AbbVie: Research Funding; Genentech: Research Funding; Celgene: Research Funding.

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 enseignants0,076
Score d'incertitude au seuil0,741

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 Opus0,020
Tête enseignante GPT0,271
Écart entre enseignants0,251 · 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

Citations26
Publié2018
Routes d'admission1
Résumé présentoui

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