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Enregistrement W3099980423 · doi:10.1182/blood-2020-143816

Efficacy and Safety Results from ASCEMBL, a Multicenter, Open-Label, Phase 3 Study of Asciminib, a First-in-Class STAMP Inhibitor, vs Bosutinib (BOS) in Patients (Pts) with Chronic Myeloid Leukemia in Chronic Phase (CML-CP) Previously Treated with ≥2 Tyrosine Kinase Inhibitors (TKIs

2020· article· en· W3099980423 sur OpenAlexaff
Andreas Hochhaus, Carla Boquimpani, Delphine Réa, Yosuke Minami, Elza Lomaia, Sergey Voloshin, Anna Turkina, Dong‐Wook Kim, Jane F. Apperley, Jörge E. Cortes, André Abdo, Laura Fogliatto, Dennis Dong Hwan Kim, Philipp D. le Coutre, Susanne Saußele, Mario Annunziata, Timothy P. Hughes, Naeem Chaudhri, Lynette Chee, Valentín García‐Gutiérrez, Koji Sasaki, Paola Aimone, Alex Allepuz, Sarah Quenet, Véronique Bédoucha, Michael J. Mauro

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésBosutinibMedicineOpen labelMyeloid leukemiaInternal medicinePhases of clinical researchOncologyAdverse effectClinical trialImatinibNilotinib

Résumé

récupéré en direct d'OpenAlex

Introduction: Asciminib, unlike all approved TKIs that bind to the ATP site of the BCR-ABL1 oncoprotein, is a first-in-class STAMP (Specifically Targeting the ABL Myristoyl Pocket) inhibitor with a new mechanism of action. BOS, an ATP-competitive TKI, has shown clinical efficacy in pts who received ≥2 TKIs and in newly diagnosed CML, in prospective clinical trials. We asked if asciminib could provide superior efficacy to BOS beyond 2nd line, based on the clinical activity of asciminib monotherapy in heavily pretreated pts with CML in a phase 1 study. Methods: Adults with CML-CP previously treated with ≥2 TKIs were randomized 2:1 to asciminib 40 mg twice daily (BID) or BOS 500 mg once daily (QD). Randomization was stratified by major cytogenetic response (MCyR; Ph+ metaphases ≤35%) status at baseline. Pts intolerant of their most recent TKI were eligible if they had BCR-ABL1IS >0.1% at screening (19 pts with BCR-ABL1IS <1% enrolled). Pts with treatment failure (per 2013 European LeukemiaNet recommendations) on BOS are permitted to switch to asciminib per investigator judgement. Pts with known bosutinib-resistant T315I or V299L mutations were excluded. The primary endpoint was major molecular response (MMR) rate at 24 wks. We report primary efficacy and safety results from ASCEMBL (cutoff: May 25, 2020). Results: A total of 233 pts with CML-CP was randomized to receive asciminib 40 mg BID (n=157) or BOS 500 mg QD (n=76). Fewer pts on asciminib discontinued their last TKI due to lack of efficacy and fewer received ≥3 prior lines of TKI therapy (Table 1). At cutoff, treatment was ongoing in 97 (61.8%) and 23 (30.3%) pts, respectively; the most common reason for treatment discontinuation was lack of efficacy (asciminib, 33 [21.0%] pts; BOS, 24 [31.6%]) (Table 1). Lack of efficacy was most frequently BCR-ABL1 >10% or Ph+ >65% after 6 months of therapy (asciminib 10.8%, BOS 25.0%). Among the 24 pts who discontinued BOS due to lack of efficacy, 22 switched to asciminib. At baseline, ≥1 BCR-ABL1 mutation was present in 12.7% pts on asciminib (most common: F359C/V) and 17.1% on BOS (most common: M244V, F317L). Median duration of follow-up was 14.9 months from randomization to cutoff. Median duration of exposure was 43.4 wks (range, 0.1-129.9) for asciminib and 29.2 wks (range, 1.0-117.0) for BOS; median relative dose intensity was 99.7% (87-100) and 95.4% (74-100). MMR rate at 24 wks was 25.5% with asciminib and 13.2% with BOS, meeting the primary objective. The between-arm common treatment difference for MMR at 24 wks, after adjustment for MCyR status at baseline, was 12.2% (95% CI, 2.19-22.3: 2-sided P=.029). Among those pts who achieved MMR, median time to MMR was 12.7 wks and 14.3 wks with asciminib and BOS, respectively. At 24 wks, more pts on asciminib (17 [10.8%] and 14 [8.9%]) than on BOS (4 [5.3%] and 1 [1.3%]) achieved deep molecular response (MR4 and MR4.5, respectively). CCyR rate at 24 wks was 40.8% with asciminib vs 24.2% with BOS. Preplanned subgroup analysis showed that the MMR rate at 24 wks was superior with asciminib than BOS across most major demographic and prognostic subgroups, including in pts who received ≥3 prior TKIs, in those who discontinued the prior TKI due to treatment failure, and regardless of baseline cytogenetic response (Figure). Grade ≥3 adverse events (AEs) occurred in 50.6% and 60.5% of pts receiving asciminib and BOS, respectively. The proportion of pts who discontinued treatment due to AEs was lower with asciminib (5.8%) than BOS (21.1%). Grade ≥3 AEs and AEs requiring dose interruption and/or adjustments were reported less frequently with asciminib than BOS (Table 2). Most frequent grade ≥3 AEs (occurring in >10% of pts in any treatment arm) with asciminib vs BOS were thrombocytopenia (17.3%; 6.6%), neutropenia (14.7%; 11.8%), diarrhea (0%, 10.5%), and increased alanine aminotransferase (0.6%, 14.5%). On-treatment deaths occurred in 2 pts (1.3%) on asciminib (ischemic stroke and arterial embolism, 1 pt each) and 1 pt (1.3%) on BOS (septic shock). Conclusions: In this first controlled study comparing treatments for resistant/intolerant (R/I) pts with CML, asciminib, a first-in-class STAMP inhibitor, demonstrated statistically significant and clinically meaningful superiority in efficacy compared with BOS (primary objective), deeper MR rates, and a favorable safety profile. These results support the use of asciminib as a new treatment option in CML, particularly in R/I pts who received ≥2 prior TKIs. Disclosures Hochhaus: Novartis: Research Funding; Incyte: Research Funding; Pfizer: Research Funding; Bristol Myers Squibb: Research Funding. Boquimpani:Novartis: Speakers Bureau. Rea:BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees. Minami:Pfizer Japan Inc.: Honoraria; Takeda: Honoraria; Bristol-Myers Squibb Company: Honoraria; Novartis Pharma KK: Honoraria. Lomaia:Bristol Myers Squibb: Speakers Bureau; Pfizer: Speakers Bureau; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Voloshin:Novartis: Honoraria, Speakers Bureau. Turkina:Pfizer: Honoraria; Novartis Pharma: Honoraria; BMS: Honoraria. Kim:Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding; Takeda: Research Funding; Sun Pharma.: Research Funding. Apperley:Bristol Myers Squibb: Honoraria, Speakers Bureau; Incyte: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Pfizer: Honoraria, Research Funding, Speakers Bureau. Cortes:Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BioPath Holdings: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Telios: Research Funding; Astellas: Research Funding; Amphivena Therapeutics: Research Funding; Arog: Research Funding; BiolineRx: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Bristol-Myers Squibb: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding; Immunogen: Research Funding; Merus: Research Funding; Sun Pharma: Research Funding. Abdo:Novartis: Honoraria; Takeda: Honoraria. Kim:Paladin: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Research Funding. le Coutre:Pfizer: Honoraria; Incyte: Honoraria; Novartis: Honoraria. Saussele:Novartis: Honoraria, Research Funding; Incyte: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria. Hughes:BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Chee:Novartis: Other: Travel support for attendance at investigator meeting. García Gutiérrez:Novartis Pharma AG: Consultancy, Honoraria, Other: travel/accommodations/expenses, Research Funding; Pfizer: Honoraria, Other: travel/accommodations/expenses, Research Funding; Incyte: Consultancy, Honoraria, Other: travel/accommodations/expenses, Research Funding. Sasaki:Pfizer Japan: Consultancy; Otsuka: Honoraria; Novartis: Consultancy, Research Funding; Daiichi Sankyo: Consultancy. Aimone:Novartis: Current Employment. Allepuz:Novartis: Current Employment. Quenet:Novartis: Current Employment. Bédoucha:Novartis: Current Employment. Mauro:Bristol-Myers Squibb: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Novartis: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Takeda: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Pfizer: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Sun Pharma/SPARC: 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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,475
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,022
Tête enseignante GPT0,284
Écart entre enseignants0,261 · 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.

Devis d'étudeEssai 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

Citations26
Publié2020
Routes d'admission1
Résumé présentoui

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