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Enregistrement W3214093530 · doi:10.1182/blood-2021-153571

A Triplet Combination of Azacitidine, Venetoclax and Gilteritinib for Patients with <i>FLT3</i>-Mutated Acute Myeloid Leukemia: Results from a Phase I/II Study

2021· article· en· W3214093530 sur OpenAlexaboutno aff
Nicholas J. Short, Courtney D. DiNardo, Naval Daver, Daniel Nguyen, Musa Yılmaz, Tapan M. Kadia, Guillermo Garcia‐Manero, Ghayas C. Issa, Xuelin Huang, Wei Qiao, Koji Sasaki, Guillermo Montalban‐Bravo, Kelly S. Chien, Gautam Borthakur, Ricardo Delumpa, Anna Milton, Sherry Pierce, Elias Jabbour, Marina Konopleva, Hagop M. Kantarjian, Farhad Ravandi

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxAzacitidineMedicineInternal medicineDecitabineChemotherapy regimenRegimenGastroenterologyMyeloid leukemiaMyeloidChemotherapyLeukemiaOncologyChemistry

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Gilteritinib improves response rates and overall survival (OS) compared with chemotherapy in patients (pts) with relapsed/refractory (R/R) FLT3-mutated acute myeloid leukemia (AML). For older pts with newly diagnosed (ND) FLT3-mutated AML who are unfit for intensive chemotherapy, azacitidine plus venetoclax is the current standard of care, although remission durations are relatively short, largely due to FLT3-driven relapses. We therefore sought to evaluate the triplet regimen of azacitidine, venetoclax and gilteritinib for older pts with ND FLT3-mutated AML, as well as for those of all ages with R/R FLT3-mutated AML. Methods: In this phase I/II study, pts with either R/R FLT3-mutated AML or high-risk MDS/CMML or pts with ND FLT3-mutated AML who were unsuitable for intensive chemotherapy were eligible. FLT3-ITD and/or TKD mutations were allowed. Pts were required to have a performance status ≤3, total bilirubin ≤2.5 x ULN, ALT/AST ≤3 x ULN, and creatinine clearance ≥30 mL/min. In cycle 1, pts received azacitidine 75 mg/m 2 SC/IV on days 1-7, venetoclax on days 1-28, and gilteritinib on days 1-28. Gilteritinib dose ranged from 80mg to 120mg daily during the phase I dose escalation (3+3 design). Bone marrow was performed on day 14 and if blasts &amp;lt;5% or aplastic marrow, then both venetoclax and gilteritinib were held (ND cohort) or only venetoclax was held (R/R cohort). For cycles 2 and beyond, azacitidine 75 mg/m 2 SC/IV was given for 5-7 days, venetoclax was given for 7-14 days and gilteritinib was given continuously. Results: Between 12/2019 and 7/2021, 26 pts were treated (11 ND pts and 15 R/R pts). Baseline characteristics are shown in Table 1. The median age for the ND and R/R cohorts were 71 years (range, 61-79) and 68 years (range, 19-90), respectively. In the ND cohort, 9 (82%) had a FLT3-ITD and 2 (18%) had a FLT3 TKD mutation; in the R/R cohort, 7 (47%) had a FLT3-ITD, 5 (33%) had a FLT3-TKD, and 3 (20%) had both mutations. Among pts in the R/R cohort, the median number of prior therapies was 2 (range, 1-5), 6 (40%) had poor risk cytogenetics, 5 (33%) had undergone prior hematopoietic stem cell transplant (HSCT), and 5 (33%) had received prior FLT3 inhibitor (including 1 pt who had received prior gilteritinib). Ten R/R pts were treated in the phase I cohort (6 at 80mg of gilteritinib and 4 at 120mg). No DLTs were observed at the 80mg daily dosing. Among 3 pts in the 120mg cohort who were evaluable for DLTs, 1 achieved MLFS but had prolonged grade 4 myelosuppression that met DLT criteria. Due to good clinical activity and superior count recovery observed with the 80mg dosing (with 3 of 6 pts [50%] in the phase I cohort achieving CR/CRp), the 80mg daily dose was chosen as the phase II dose for further study. In the entire R/R cohort, the median number of cycles received was 2 (range, 1-4). The overall response rate (CR+CRi+MLFS) was 67%. One pt (7%) achieved CR as best response, 3 (20%) achieved CRi, and 6 (40%) achieved MLFS. An additional pt with extramedullary-only disease achieved PR. Four pts (27% of the entire R/R cohort, 44% of responding pts) proceeded to HSCT. Among the 10 responding pts, 4 have relapsed (1 of whom was FLT3 negative), 2 died in morphologic remission, and 4 are still alive without relapse. The 30-day and 60-day mortality rates were 0% and 13%, respectively. With a median follow-up of 9.9 months in the R/R cohort, the median duration of response was 9.0 months and the median OS was 10.5 months (Figure 1A). In the ND cohort, the median number of cycles received was 2 (range, 1-6). All pts responded and all achieved marrow remission by day 14. Eight pts (73%) achieved CR as best response, 1 (9%) achieved CRi, and 2 (18%) achieved MLFS; the 3 pts with CRi/MLFS are still recovering from cycle 1 at the time of this report. Two pts (18%) proceeded to HSCT. With a median follow-up of 3.8 months (range, 0.5-8.7 months), no pts have relapsed and 1 pt died (Figure 1B). This pt achieved MRD-negative CR and died 9 weeks into therapy due to sepsis. Conclusions: The combination of azacitidine, venetoclax and gilteritinib was effective in pts with FLT3-mutated AML. Gilteritinib dosing at 80mg daily was associated with a better safety/efficacy profile and was selected for future study; however, even with this lower dose myelosuppression was common and required attenuation of azacitidine and venetoclax. This combination appears particularly encouraging in the frontline setting where the response rate was 100% with no relapses observed to date. Figure 1 Figure 1. Disclosures Short: Astellas: Research Funding; AstraZeneca: Consultancy; Novartis: Honoraria; Jazz Pharmaceuticals: Consultancy; NGMBio: Consultancy; Takeda Oncology: Consultancy, Research Funding; Amgen: Consultancy, Honoraria. DiNardo: Celgene, a Bristol Myers Squibb company: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; Forma: Honoraria, Research Funding; AbbVie: Consultancy, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Foghorn: 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; ImmuneOnc: Honoraria, Research Funding; Agios/Servier: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Novartis: Honoraria. Daver: Amgen: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; FATE Therapeutics: Research Funding; Hanmi: Research Funding; Genentech: Consultancy, Research Funding; Trovagene: Consultancy, Research Funding; Glycomimetics: Research Funding; Sevier: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Novimmune: Research Funding; Abbvie: Consultancy, Research Funding; Astellas: Consultancy, Research Funding; Gilead Sciences, Inc.: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Trillium: Consultancy, Research Funding; ImmunoGen: Consultancy, Research Funding; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy, Other: Data Monitoring Committee member; Dava Oncology (Arog): Consultancy; Celgene: Consultancy; Syndax: Consultancy; Shattuck Labs: Consultancy; Agios: Consultancy; Kite Pharmaceuticals: Consultancy; SOBI: Consultancy; STAR Therapeutics: Consultancy; Karyopharm: Research Funding; Newave: Research Funding. Yilmaz: Daiichi-Sankyo: Research Funding; Pfizer: Research Funding. Kadia: Genfleet: Other; Astellas: Other; AstraZeneca: Other; Cellonkos: Other; Sanofi-Aventis: Consultancy; Pulmotech: Other; Pfizer: Consultancy, Other; Liberum: Consultancy; BMS: Other: Grant/research support; Jazz: Consultancy; Genentech: Consultancy, Other: Grant/research support; Cure: Speakers Bureau; Ascentage: Other; Novartis: Consultancy; AbbVie: Consultancy, Other: Grant/research support; Aglos: Consultancy; Dalichi Sankyo: Consultancy; Amgen: Other: Grant/research support. Issa: Novartis: Consultancy, Research Funding; Syndax Pharmaceuticals: Research Funding; Kura Oncology: Consultancy, Research Funding. Sasaki: Novartis: Consultancy, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees. Borthakur: Takeda: Membership on an entity's Board of Directors or advisory committees; ArgenX: Membership on an entity's Board of Directors or advisory committees; Ryvu: Research Funding; Astex: Research Funding; University of Texas MD Anderson Cancer Center: Current Employment; Protagonist: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy. Jabbour: Amgen, AbbVie, Spectrum, BMS, Takeda, Pfizer, Adaptive, Genentech: Research Funding. Konopleva: F. Hoffmann-La Roche: Consultancy, Honoraria, Other: grant support; Forty Seven: Other: grant support, Research Funding; Calithera: Other: grant support, Research Funding; Genentech: Consultancy, Honoraria, Other: grant support, Research Funding; Reata Pharmaceuticals: Current holder of stock options in a privately-held company, Patents &amp; Royalties: intellectual property rights; Novartis: Other: research funding pending, Patents &amp; Royalties: intellectual property rights; Rafael Pharmaceuticals: Other: grant support, Research Funding; AstraZeneca: Other: grant support, Research Funding; Stemline Therapeutics: Research Funding; Eli Lilly: Patents &amp; Royalties: intellectual property rights, Research Funding; KisoJi: Research Funding; Sanofi: Other: grant support, Research Funding; AbbVie: Consultancy, Honoraria, Other: Grant Support, Research Funding; Agios: Other: grant support, Research Funding; Ascentage: Other: grant support, Research Funding; Ablynx: Other: grant support, Research Funding; Cellectis: Other: grant support. Kantarjian: Ipsen Pharmaceuticals: Honoraria; NOVA Research: Honoraria; Amgen: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; Ascentage: Research Funding; BMS: Research Funding; Daiichi-Sankyo: Research Funding; Immunogen: Research Funding; Jazz: Research Funding; Pfizer: Honoraria, Research Funding; KAHR Medical Ltd: Honoraria; Astra Zeneca: Honoraria; Astellas Health: Honoraria; Novartis: Honoraria, Research Funding; Aptitude Health: Honoraria; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria. Ravandi: Agios: Honoraria, Research Funding; Astex: Honoraria, Research Funding; Jazz: Honoraria, Research Fund

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: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,499
Score d'incertitude au seuil0,845

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
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 Opus0,016
Tête enseignante GPT0,289
Écart entre enseignants0,273 · 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'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

Citations36
Publié2021
Routes d'admission1
Résumé présentoui

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