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Enregistrement W3211430792 · doi:10.1182/blood-2021-154143

Hypomethylating Agent (HMA) Therapy and Venetoclax (VEN) with FLT3 Inhibitor "Triplet" Therapy Is Highly Active in Older/Unfit Patients with FLT3 Mutated AML

2021· article· en· W3211430792 sur OpenAlexaboutno aff
Musa Yılmaz, Hagop M. Kantarjian, Nicholas J. Short, Marina Konopleva, Tapan M. Kadia, Courtney D. DiNardo, Gautam Borthakur, Naveen Pemmaraju, Abhishek Maiti, Elias Jabbour, Ghayas C. Issa, Nitin Jain, Koichi Takahashi, Koji Sasaki, Maro Ohanian, Guilin Tang, Sanam Loghavi, Keyur P. Patel, Guillermo Garcia‐Manero, Michael Andreeff, Farhad Ravandi, Naval Daver

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineVenetoclaxInternal medicineRegimenOncologyChemotherapy regimenSalvage therapyGastroenterologyChemotherapyLeukemiaChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Internal tandem duplication (ITD) and tyrosine kinase domain (TKD) mutations (m) in FLT3 occur in about 30% of the patients (pts) with newly diagnosed AML. FLT3m are associated with a higher risk of relapse and inferior overall survival (OS). Outcomes remain poor in older/unfit pts with FLT3m AML; with expected median OS of 8-12 months with combinations of low intensity chemotherapy (LIC) with FLT3 inhibitors (FLT3i) or with venetoclax (VEN) [Ohanian et al. AJH, 2018; Konopleva et. al. ASH, 2020). In this current study, our goal was to analyze outcomes in newly diagnosed older/unfit pts with FLT3m AML treated with LIC + FLT3i (doublet regimen) vs. LIC + VEN + FLT3i (triplet regimen) on clinical trials at our institution. Methods We identified 87 older or unfit adult pts with newly diagnosed FLT3-m (ITD and/or TKD) AML treated on FLT3i-based LIC clinical trials between 6/2012-3/2021 (Figure 1). All pts had at least two or more bone marrow (BM) assessments including at baseline, end of the first cycle of therapy, and/or later during therapy. MRD assessments were performed by in-house multicolor flow cytometry (MFC) (sensitivity of 10 -4) and multiplex polymerase chain reaction (PCR) (sensitivity of 10 -2-10 -3) for ITD and D835. Results Of the 87 pts with newly diagnosed FLT3m AML, 60 (69%) and 27 (31%) received doublet and triplet regimens, respectively. Baseline clinical characteristics, including age, WBC, organ function, cytogenetics, ECOG PS and molecular aberrations, were generally similar between patients treated with doublet vs triplet (Table 1). Of the 60 pts who received LIC (HMA 83%, LDAC-based 17%) + FLT3i doublets, 44 (73%) received a first-generation FLT3i (36 sorafenib, 8 midostaurin) and 16 (27%) second-generation FLT3i (quizartinib). Our analysis showed no statistically significant difference in CR/CRi and FLT3-PCR or MFC negativity rates in patients treated with first or second-generation FLT3i based LIC doublets (Figure 2A). There was no statistically significant OS difference between patients treated with first- vs. second-generation FLT3i doublet regimens (P=0.19). In the triplet group, 12 (44%), 10 (37%), 4 (15%) and 1 (4%) pts received gilteritinib, sorafenib, quizartinib and midostaurin combined with HMA-VEN, respectively. Triplet HMA-VEN-FLT3i was associated with significantly higher CR/CRi (93% vs 70%, P=0.02), FLT3-PCR (96% vs 54%, P<0.01), and MFC negativity (83% vs 38%, P<0.01) rates than doublet regimens (Figure 2B). The 60-day mortality was similar between triplet vs doublet; 7% (n=2) vs 10% (n=6), respectively. The median follow-up time was shorter in the triplet arm than in the doublet arm: 12 vs. 63 months (p<0.01). The median OS was better with the HMA-VEN-FLT3i triplets compared with the HMA-FLT3i doublets (not reached (NR) vs 9.5 months, P<0.01). The median OS in patients treated with triplets vs second-generation FLT3i doublets vs first-generation FLT3i doublets was NR vs 15.7 vs 8.7 months (P<0.01) (Figure 3). 8 (29%) and 6 (10%) pts went to SCT after triplet vs doublet, respectively. A landmark analysis at 4-month (n=50) demonstrated that pts who received ASCT in CR1 had superior OS than patients who did not receive ASCT in CR1 ( NR vs 19 months, P=0.01). Conclusions First- and second-generation FLT3i-based doublet regimens were associated with comparable response rates and survival of 9-16 months in older adults with newly diagnosed FLT3 mutated AML. The HMA-VEN-FLT3i combination significantly improved CR/CRi rates, FLT3-PCR and MFC MRD rates as well as OS, without increasing early mortality in this retrospective analysis. These findings suggest the need for prospective validation of HMA-VEN-FLT3i triplets in older/unfit AML. Figure 1 Figure 1. Disclosures Yilmaz: Daiichi-Sankyo: Research Funding; Pfizer: Research Funding. Kantarjian: AbbVie: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Immunogen: Research Funding; Jazz: Research Funding; Amgen: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Aptitude Health: Honoraria; Astellas Health: Honoraria; BMS: Research Funding; Ascentage: Research Funding; Precision Biosciences: Honoraria; NOVA Research: Honoraria; KAHR Medical Ltd: Honoraria; Ipsen Pharmaceuticals: Honoraria; Astra Zeneca: Honoraria; Taiho Pharmaceutical Canada: Honoraria. Short: AstraZeneca: Consultancy; Astellas: Research Funding; NGMBio: Consultancy; Takeda Oncology: Consultancy, Research Funding; Novartis: Honoraria; Jazz Pharmaceuticals: Consultancy; Amgen: Consultancy, Honoraria. Konopleva: Ascentage: Other: grant support, Research Funding; Genentech: Consultancy, Honoraria, Other: grant support, Research Funding; AbbVie: Consultancy, Honoraria, Other: Grant Support, Research Funding; Ablynx: Other: grant support, Research Funding; Calithera: Other: grant support, Research Funding; KisoJi: Research Funding; Stemline Therapeutics: Research Funding; Novartis: Other: research funding pending, Patents & Royalties: intellectual property rights; Eli Lilly: Patents & Royalties: intellectual property rights, Research Funding; Rafael Pharmaceuticals: Other: grant support, Research Funding; Agios: Other: grant support, Research Funding; Cellectis: Other: grant support; Reata Pharmaceuticals: Current holder of stock options in a privately-held company, Patents & Royalties: intellectual property rights; AstraZeneca: Other: grant support, Research Funding; Sanofi: Other: grant support, Research Funding; Forty Seven: Other: grant support, Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria, Other: grant support. Kadia: AstraZeneca: Other; Astellas: Other; Genfleet: Other; Ascentage: Other; Cellonkos: Other; Sanofi-Aventis: Consultancy; Pulmotech: Other; Pfizer: Consultancy, Other; Novartis: Consultancy; Liberum: Consultancy; Jazz: Consultancy; Genentech: Consultancy, Other: Grant/research support; Dalichi Sankyo: Consultancy; Cure: Speakers Bureau; BMS: Other: Grant/research support; Amgen: Other: Grant/research support; Aglos: Consultancy; AbbVie: Consultancy, Other: Grant/research support. DiNardo: Notable Labs: Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees; Celgene, a Bristol Myers Squibb company: Honoraria, Research Funding; Agios/Servier: Consultancy, Honoraria, Research Funding; ImmuneOnc: Honoraria, Research Funding; Takeda: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria; AbbVie: Consultancy, Research Funding; Foghorn: Honoraria, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Forma: Honoraria, Research Funding. Borthakur: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; ArgenX: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Ryvu: Research Funding; Protagonist: Consultancy; University of Texas MD Anderson Cancer Center: Current Employment; Astex: Research Funding; GSK: Consultancy. Pemmaraju: LFB Biotechnologies: Consultancy; Incyte: Consultancy; Stemline Therapeutics, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Clearview Healthcare Partners: Consultancy; Affymetrix: Consultancy, Research Funding; ASCO Leukemia Advisory Panel: Membership on an entity's Board of Directors or advisory committees; ASH Communications Committee: Membership on an entity's Board of Directors or advisory committees; Samus: Other, Research Funding; Protagonist Therapeutics, Inc.: Consultancy; Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceuticals: Consultancy, Other: Research Support, Research Funding; HemOnc Times/Oncology Times: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Consultancy; Abbvie Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Sager Strong Foundation: Other; Plexxicon: Other, Research Funding; Daiichi Sankyo, Inc.: Other, Research Funding; Cellectis S.A. ADR: Other, Research Funding; CareDx, Inc.: Consultancy; Aptitude Health: Consultancy; Springer Science + Business Media: Other; Roche Diagnostics: Consultancy; DAVA Oncology: Consultancy; MustangBio: Consultancy, Other; Blueprint Medicines: Consultancy; Bristol-Myers Squibb Co.: Consultancy; ImmunoGen, Inc: Consultancy; Pacylex Pharmaceuticals: Consultancy. Jabbour: Amgen, AbbVie, Spectrum, BMS, Takeda, Pfizer, Adaptive, Genentech: Research Funding. Issa: Syndax Pharmaceuticals: Research Funding; Novartis: Consultancy, Research Funding; Kura Oncology: Consultancy, Research Funding. Jain: Bristol Myers Squibb: Honoraria, Research Funding; TG Therapeutics: Honoraria; Precision Biosciences: Honoraria, Research Funding; Beigene: Honoraria; Incyte: Research Funding; Aprea Therapeutics: Research Funding; Fate Therapeutics: Research Funding; Janssen: Honoraria; Pfizer: Research Funding; AstraZeneca: Honoraria, Research Funding; Adaptive Biotechnologies: Honoraria, Research Funding; Servier: Honoraria, Research Funding; ADC Therapeutics: Honoraria, Research Funding; Cellec

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)0,000
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 enseignants0,001
Score d'incertitude au seuil0,002

Scores du classifieur distillé par catégorie (deux têtes)

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)0,0010,000

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 Opus0,017
Tête enseignante GPT0,257
Écart entre enseignants0,240 · 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

Citations7
Publié2021
Routes d'admission1
Résumé présentoui

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