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Enregistrement W3213227101 · doi:10.1182/blood-2021-145379

Phase 3, Open-Label, Randomized Study of Gilteritinib and Azacitidine Vs Azacitidine for Newly Diagnosed <i>FLT3</i>-Mutated Acute Myeloid Leukemia in Patients Ineligible for Intensive Induction Chemotherapy

2021· article· en· W3213227101 sur OpenAlexaff
Eunice S. Wang, Pau Montesinos, Mark D. Minden, Je‐Hwan Lee, Michael Heuser, Tomoki Naoe, Wen‐Chien Chou, Kamel Laribi, Jordi Esteve, Jessica K. Altman, Violaine Havelange, Anne-Marie Watson, Elżbieta Patkowska, Shufang Liu, Ruishan Wu, Nisha Philipose, Jason E. Hill, Stanley C. Gill, Elizabeth Rich, Ramón V. Tiu

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésAzacitidineMyeloid leukemiaMedicineChemotherapyChemotherapy regimenInduction chemotherapyInternal medicineAcute leukemiaLeukemiaOncologyBiologyDNA methylation

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Gilteritinib (GIL), a FLT3 inhibitor, shows efficacy/safety in patients (pts) with FLT3mut+ relapsed/refractory (R/R) AML. For pts with newly diagnosed (ND) AML with FLT3 mutations unable to receive intensive induction chemotherapy (IIC), survival is limited, and therapy options are few. In preclinical studies, GIL plus azacitidine (AZA) impeded tumor growth and induced apoptosis/differentiation of FLT3-ITD AML cell lines. Antitumor effects appeared synergistic in xenografted mouse models (data on file). We investigated GIL+AZA vs AZA in adults with ND FLT3mut+ AML ineligible for IIC (NCT02752035). Aim/Objective: To compare efficacy and safety/tolerability of GIL+AZA and AZA in pts with ND FLT3mut+ AML ineligible for IIC. Methods: Pts were initially randomized (1:1:1) to GIL (120 mg/day orally on Days 1-28) plus AZA (75 mg/m 2/day SC/IV on Days 1-7), AZA (same regimen), or GIL (same regimen) during 28-day cycles. The GIL arm was removed due to preferred therapy changes. Pts were then randomized (2:1) to GIL+AZA or AZA alone. The primary endpoint was overall survival (OS) and key secondary endpoint was event-free survival (EFS). Treatment failure date was randomization date if complete remission (CR) was not achieved after 6 cycles. Subgroup/sensitivity analyses were prespecified. Response rates, safety/tolerability, and pharmacokinetic endpoints were analyzed. Data from long-term follow-up ≤3 yrs were obtained, including subsequent AML therapy. These results are from an interim analysis at 70 deaths (~50% of total deaths). Results: As of August 26, 2020, 123 pts were randomized to GIL+AZA (n=74) and AZA (n=49); 39 (52.7%) and 31 (63.3%) deaths, respectively, occurred. Median age was 78 yrs with GIL+AZA and 76 yrs with AZA; ECOG PS ≥2 was 47.3% and 32.7%, and FLT3-ITD alone was in 78.4% and 81.6% of pts, respectively (TKD alone 18.9% vs 14.3%; ITD with TKD 2.7% vs 4.1%). Median follow-up was 9.76 mo for GIL+AZA and 17.97 mo for AZA. Median exposure duration was 112 days for GIL in the GIL+AZA arm (n=73); AZA exposure was 98 and 99 days in the GIL+AZA and AZA (n=47) arms, respectively. Subsequent AML therapy was received by 20.3% pts on GIL+AZA and 44.9% pts on AZA; median time to first subsequent therapy was 8.2 and 4.5 mo, respectively. In the AZA arm, 22 pts received subsequent AML therapy, including 10 pts on GIL and 4 pts on other FLT3 inhibitors. Median OS was 9.82 mo for GIL+AZA and 8.87 mo for AZA (HR 0.916 [95% CI 0.529, 1.585]; P=.753). Patient subgroups with improved OS with GIL+AZA vs AZA included pts with ECOG PS 0-1 (HR 0.811 [95% CI 0.409, 1.608]) and high FLT3-ITD allelic ratio ≥0.5 (HR 0.580 [95% CI 0.285, 1.182]). Median EFS was 0.03 mo in both arms (HR 1.175 [95% CI 0.764, 1.807]; P=.459). In sensitivity analyses, median EFS with events based on composite CR (CRc; CR+CRi+CRp) was 5.03 mo for GIL+AZA and 3.29 mo for AZA (HR 0.924 [95% CI 0.576, 1.482]; P=.767). Although CR rates for both arms were similar (16.2% vs 14.3%), CRc rates were significantly higher for GIL+AZA vs AZA (58.1 vs 26.5%, difference 31.4% [95% CI 13.1, 49.7]; P&amp;lt;.001). Overall adverse event (AE; GIL+AZA, 100% and AZA, 95.7%) and grade ≥3 AE rates (95.9% and 89.4%) were similar in both arms. Treatment-related AEs led to death in 4 pts in each arm. Common AEs with GIL+AZA were pyrexia (47.9%) and diarrhea (38.4%). Potential confounding factors contributing to OS findings were subsequent AML therapy, more pts with baseline ECOG PS ≥2 in the GIL+AZA arm, and study design change. No substantial differences in GIL trough concentrations at steady state (C trough) were seen between GIL+AZA and GIL alone (prior to arm removal). However, on Cycle 1 Day 15, median GIL C trough was 579 ng/mL (GIL+AZA and GIL arms) in contrast to C trough of 279 ng/mL observed with GIL monotherapy in the ADMIRAL trial in pts with R/R AML. Reasons for this difference are being evaluated. No apparent relationship was seen between C trough and response rates/grade of thrombocytopenia or neutropenia. Conclusions: In this trial of pts with ND FLT3mut+ AML ineligible for IIC, GIL+AZA led to significantly higher CRc rates but similar OS vs AZA alone. Pts with ECOG PS 0-1 and high FLT3-ITD allelic ratio appeared to have greater benefit with GIL+AZA. No new safety signals were seen. Curiously, C trough values in pts with ND FLT3mut+ AML ineligible for IIC were 2-fold greater than in pts with R/R FLT3mut+ AML. These results support the safety, tolerability, and activity of GIL+AZA vs AZA. Disclosures Wang: GlaxoSmithKline: Consultancy, Honoraria, Other: Advisory Board; Genentech: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Other: Advisory Board; Jazz Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; Pfizer: Consultancy, Honoraria, Other: Advisory Board, Speakers Bureau; Takeda: Consultancy, Honoraria, Other: Advisory board; Mana Therapeutics: Consultancy, Honoraria; Kite Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; Kura Oncology: Consultancy, Honoraria, Other: Advisory board, steering committee, Speakers Bureau; Stemline Therapeutics: Consultancy, Honoraria, Other: Advisory board, Speakers Bureau; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; DAVA Oncology: Consultancy, Speakers Bureau; Rafael Pharmaceuticals: Other: Data safety monitoring committee; Gilead: Consultancy, Honoraria, Other: Advisory board; Daiichi Sankyo: Consultancy, Honoraria, Other: Advisory board; PTC Therapeutics: Consultancy, Honoraria, Other: Advisory board; Genentech: Consultancy; MacroGenics: Consultancy. Montesinos: Stemline/Menarini: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Forma Therapeutics: Consultancy; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Glycomimetics: Consultancy; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Tolero Pharmaceutical: Consultancy; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Agios: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board, Research Funding, Speakers Bureau. Minden: Astellas: Consultancy. Lee: Korean Society of Hematology: Membership on an entity's Board of Directors or advisory committees; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board; AbbVie: Honoraria, Other: Advisory board. Heuser: Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees, Research Funding; BergenBio: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Research Funding; Tolremo: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer Pharma AG: Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Research Funding. Naoe: Fuji Film: Other: Study funding for JAGSE; Astellas Pharma, Inc.: Consultancy, Other: Study funding for JAGSE; Bristol-Myers: Honoraria; Nippon Shinyaku: Honoraria; Daichi Sankyo: Other: Study funding for JAGSE; Otsuka Pharma: Honoraria. Chou: Abbvie: Honoraria, Other: Advisory Board, Research Funding; Celgene: Honoraria, Other: Advisory Board, Research Funding; IQVIA: Honoraria, Other: Advisory Board; Pfizer: Honoraria, Other: Advisory Board; Novartis: Honoraria, Other: Advisory Board; Bristol Myers Squibb: Honoraria, Research Funding; Kirin: Honoraria, Research Funding. Laribi: IQONE: Other: Personal Fees; Takeda: Other: Personal Fees, Research Funding; AstraZeneca: Other: Personal Fees; BeiGene: Other: Personal Fees; Astellas Phama, Inc.: Other: Personal Fees; Jansen: Research Funding; AbbVie: Other: Personal Fees, Research Funding; Le Mans Hospital: Research Funding; Novartis: Other: Personal Fees, Research Funding. Esteve: Jazz: Consultancy; Novartis: Research Funding; Bristol Myers Squibb/Celgene: Consultancy; Pfizer: Consultancy; Abbvie: Consultancy; Novartis: Consultancy, Research Funding; Astellas: Consultancy. Altman: ALZ Oncol

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,192
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,001
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 Opus0,035
Tête enseignante GPT0,347
Écart entre enseignants0,312 · 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

Citations20
Publié2021
Routes d'admission1
Résumé présentoui

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