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Enregistrement W3214072263 · doi:10.1182/blood-2021-153660

Enasidenib in Combination with Venetoclax in <i>IDH2</i>-Mutated Myeloid Malignancies: Preliminary Results of the Phase Ib/II Enaven-AML Trial

2021· article· en· W3214072263 sur OpenAlexaff
Steven M. Chan, Charina Cameron, Séverine Cathelin, Vikas Gupta, Dawn Maze, Mark D. Minden, Tracy Murphy, Aaron D. Schimmer, Andre C. Schuh, Hassan Sibai, Karen Yee, Courtney D. DiNardo, Caroline McNamara

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxIDH2MedicineInternal medicineVenMyeloid leukemiaMyeloidOncologyIDH1LeukemiaBiologyMutationChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: Isocitrate dehydrogenase 2 (IDH2) mutations are found in about 10-15% of acute myeloid leukemia (AML) cases. Enasidenib (ENA) is a first-in-class mutant IDH2 inhibitor that induces differentiation of IDH2-mutated leukemic cells. However, the clinical efficacy of single agent ENA therapy in relapsed or refractory (R/R) AML is limited, underscoring the need for combination therapy. Preclinical studies have shown that IDH-mutated leukemic cells are particularly sensitive to BCL2 inhibition with venetoclax (VEN), a finding supported by clinical studies of VEN combination therapies. We previously demonstrated that the combination of ENA and VEN can be more effective than each drug alone, in reducing leukemic burden in patient-derived xenograft models of IDH2-mutated AML. Here, we report preliminary safety and efficacy results of an ongoing open-label, single-arm, phase Ib/II trial (NCT04092179) of ENA in combination with VEN in patients with IDH2-mutated myeloid malignancies. METHODS: Patients 18 years of age or above with IDH2-mutated R/R AML or high-risk MDS/MPN and an ECOG performance status of 0-2 were eligible. Patients previously treated with an IDH2 or BCL2 inhibitor were excluded. Participants received VEN continuously starting on cycle 1 day 1 with a 3-day ramp-up to a target dose of 400 mg daily (dose level 0) in cohorts 1 and 2. ENA was administered at 100 mg daily continuously starting on cycle 1 day 15. Each cycle was 28 days. Concurrent use of a moderate or strong CYP3A4 inhibitor was allowed with 50% dose reduction of VEN after completion of the first 2 cycles at 100% target dose. Interruptions of VEN and/or ENA were permitted for management of adverse events (AEs). Primary endpoints were 1) safety and tolerability and 2) overall response rate (ORR) defined as complete remission (CR) + CR with incomplete blood count recovery (CRi) + morphologic leukemia-free state (MLFS) + partial remission (PR) by revised IWG criteria. Secondary endpoints include pharmacokinetic (PK) profiles of VEN, duration of response, overall survival (OS), and IDH2 mutant allele burden in bone marrow by ddPCR. RESULTS: The study opened to recruitment in November of 2020. As of July 28, 2021 (data cutoff), 11 patients were enrolled on study; 10 with R/R AML and 1 with very-high risk MDS by IPSS-R. Six patients had a R140Q mutation, and 5 had a R172K mutation. Median age was 72 years (range: 32 - 80); 6 patients were male. Participants had received a median of 2 prior lines of therapies (range: 1 - 4). Six of 10 AML patients had primary refractory disease. The MDS patient experienced secondary azacitidine failure. Key treatment emergent grade ≥ 3 AEs regardless of attribution were: febrile neutropenia (n=3), intracranial hemorrhage (n=3), lung infection (n=2), other infection (n=2), elevated AST/ALT (n=2), sepsis (n=1), leukocytosis (n=1), TRALI (n=1), and small bowel obstruction (n=1). No cases of differentiation or tumor lysis syndrome were observed. No patients discontinued the study due to AEs. The addition of ENA, a known inhibitor of CYP3A4, did not significantly affect the PK profiles of VEN. Nine of the AML patients completed at least 1 cycle of treatment and are considered evaluable for efficacy. One AML patient died from intracranial hemorrhage prior to completion of cycle 1. Median duration of observation is 3.5 months. Of the evaluable patients, CR was achieved in 2 patients (22%) and CRi in 3 patients (33%) for an ORR of 55% (Fig. 1). Median number of cycles to response was 3. All responders remain in remission and on study with a median of 6 cycles received to date (range: 3 - 8). Of the remaining 4 patients, 2 patients (22%) remain on study with stable disease, and 2 patients (22%) experienced progressive disease and died (one after 7 cycles and the other after 1 cycle). Median OS for the entire cohort has not been reached. A sustained reduction in mutant IDH2 allele frequency in bone marrow correlated with response (Fig. 2). For the MDS patient, no response was observed after 1 cycle of treatment. CONCLUSIONS: VEN in combination with ENA is a well-tolerated regimen with no dose-limiting toxicities observed at the current dose level. The preliminary efficacy of this combination is encouraging with an ORR of 55% in evaluable R/R AML patients, with some responders achieving deep molecular remissions. Patient enrollment in dose-escalation cohorts is ongoing. Figure 1 Figure 1. Disclosures Chan: AbbVie: Research Funding; BMS: Research Funding. Gupta: Sierra Oncology: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Constellation Pharma: Consultancy, Honoraria; Incyte: Honoraria, Research Funding; AbbVie: Consultancy, Honoraria; Roche: Consultancy; BMS-Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy. Maze: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene-BMS: Honoraria; Takeda: Research Funding; PharmaEssentia: Research Funding; Kronos Bio: Research Funding. Minden: Astellas: Consultancy. Schimmer: Takeda Pharmaceuticals: Consultancy, Research Funding; Medivir AB: Research Funding; Novartis: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Otsuka Pharmaceuticals: Consultancy, Honoraria; UHN: Patents & Royalties. Schuh: AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlycoMimetics: Research Funding; Kite/Gilead: Research Funding; Jazz: Membership on an entity's Board of Directors or advisory committees; Teva: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yee: Pfizer: Membership on an entity's Board of Directors or advisory committees; Forma Therapeutics: Research Funding; F. Hoffmann La Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero: Research Funding; Genentech: Research Funding; Janssen: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Shattuck Labs: Membership on an entity's Board of Directors or advisory committees; Onconova: Research Funding; Bristol-Myers Squibb/Celgene: Membership on an entity's Board of Directors or advisory committees; Otsuka: Membership on an entity's Board of Directors or advisory committees; Paladin: Membership on an entity's Board of Directors or advisory committees; Geron: Research Funding; MedImmune: Research Funding; Jazz: Research Funding; TaiHo: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria; Astex: Membership on an entity's Board of Directors or advisory committees, Research Funding. DiNardo: Agios/Servier: Consultancy, Honoraria, Research Funding; Notable Labs: Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria; AbbVie: Consultancy, Research Funding; Novartis: Honoraria; Foghorn: Honoraria, Research Funding; Forma: Honoraria, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Research Funding; ImmuneOnc: Honoraria, Research Funding; Celgene, a Bristol Myers Squibb company: Honoraria, Research Funding. OffLabel Disclosure: Enasidenib is approved for the treatment of relapsed or refractory AML as single agent. Venetoclax, in combination with azacitidine or low-dose cytarabine, is approved for the treatment of newly diagnosed AML patients who are 75 years or older, or who have comorbidities that preclude use of intensive induction chemotherapy.

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)0,001
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,019
Tête enseignante GPT0,289
Écart entre enseignants0,270 · 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'étudeEssai non randomisé
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

Citations16
Publié2021
Routes d'admission1
Résumé présentoui

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