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Enregistrement W3212602214 · doi:10.1182/blood-2021-153086

A Phase I/II Study of Venetoclax in Combination with 5-Azacytidine in Treatment-Naïve and Relapsed/Refractory High-Risk Myelodysplastic Syndrome (MDS) or Chronic Myelomonocytic Leukemia (CMML)

2021· article· en· W3212602214 sur OpenAlexaboutno aff
Alexandre Bazinet, Elias Jabbour, Hagop M. Kantarjian, Kelly S. Chien, Courtney D. DiNardo, Maro Ohanian, Naval Daver, Rashmi Kanagal‐Shamanna, Tapan M. Kadia, Koichi Takahashi, Lucia Masárová, Nicholas J. Short, Yesid Alvarado, Philip A. Thompson, Guillermo Montalban‐Bravo, Musa Yılmaz, Farhad Ravandi, Steven M. Kornblau, Naveen Pemmaraju, Heather Schneider, Bailey Mirabella, Kiran Naqvi, Guillermo Garcia‐Manero

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChronic myelomonocytic leukemiaVenetoclaxMyelodysplastic syndromesAzacitidineMedicineRefractory (planetary science)Internal medicinePhases of clinical researchLeukemiaOncologyGastroenterologyChemotherapyChronic lymphocytic leukemiaBone marrowBiologyGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract Background: MDS is a clonal hematological disorder characterized by bone marrow dysplasia, ineffective hematopoiesis, and an increased risk of transformation to acute myeloid leukemia (AML). For the majority of high-risk MDS patients who are not eligible for curative allogeneic hematopoietic stem cell transplantation (aHSCT), hypomethylating agents (HMAs) such as 5-azacytidine (AZA) represent the standard of care. However, overall response rates (ORRs) with AZA monotherapy remain relatively low (28-48%) and the length of response is limited (median 8-10m). In patients who fail or relapse after HMA therapy, prognosis is dismal and therapeutic options are limited. Pre-clinical data suggest BCL-2 inhibitors such as Venetoclax (VEN) are synergistic with HMAs in MDS. We designed this phase I/II study (NCT04160052) to evaluate the safety, tolerability, and response rate of the AZA-VEN combination for the treatment of high-risk MDS and chronic myelomonocytic leukemia (CMML). Methods: Patients ≥ 18 years of age were eligible for enrollment if they were diagnosed with HMA-naïve high-risk MDS (IPSS Int-2/High), relapsed/refractory MDS after at least 4 cycles of HMA therapy, or CMML. Bone marrow (BM) blast count > 5% was required. Patients with prior BCL-2 inhibitor exposure and low risk MDS (IPSS Low/Int-1) were excluded. AZA 75 mg/m 2 IV/SC on days 1-5 and escalating doses (3+3 algorithm) of VEN PO on days 1-7 or 1-14 were administered every 28 days. VEN dosage was adjusted for concomitant CYP3A inhibitor use. The primary objective is safety and tolerability (phase I) and ORR (phase II). The incidence and severity of adverse events (AEs) were evaluated using CTCAE v 5.0. ORR was defined as the proportion of patients who achieved complete remission (CR), partial remission (PR), marrow CR (mCR), or hematological improvement (HI) lasting at least 4 weeks (Modified IWG Response Criteria for MDS, Cheson 2006). Overall survival (OS) and progression-free survival (PFS) were assessed as secondary objectives. Results: As of July 31 st 2021, 17 patients (median age 68, range 58-84) have been enrolled in the phase I portion of the study (8 HMA-naïve MDS, 4 MDS after HMA failure, and 5 CMML). The median BM blast count was 11% (6-19%). 13 patients (76%) were Int-2 and 4 patients (24%) were High risk by IPSS. Good, intermediate, and poor risk cytogenetics were observed in 6 (35%), 4 (24%), and 7 (41%) patients, respectively. 6 patients (35%) had complex karyotypes and 5 (29%) had TP53 mutations. Of the 7 previously treated patients, the median number of prior therapies was 1 (1-5). The median number of cycles of AZA-VEN completed on study at the time of data cutoff was 3 (0-10) and the median follow-up was 11.6m. VEN dose ranged from 20 to 400 mg daily. 5 (29%) patients went off study for aHSCT but continued to be followed for the survival analysis. The most common grade 3/4 AEs were thrombocytopenia (35%), lung infections (29%), and neutropenia (24%). 2 grade 5 AEs (sepsis) occurred on study, one in a patient whose best response was SD after 5 cycles and one in a patient who had completed only 2 days of cycle 1. 30-day mortality was 6%. 15 patients were evaluable for response because they had completed at least 1 cycle of the study drugs. The ORR was 93% (1 CR, 9 mCR, 4 mCR with HI). In responders, the median number of cycles to response was 1 (range 1-2) and median duration of response 6.3m. No patient responded beyond cycle 2. Median PFS and OS for the evaluable cohort were 8.4m and 13m, respectively. Transformation to AML occurred in 3 patients (20%). Of the 4 survivors beyond 10m, 3 (75%) have undergone consolidative aHSCT. Conclusions: AZA-VEN was a tolerable and effective treatment strategy in this high-risk group of patients. Notably, a very high ORR was observed in this phase I study. Responses were rapid compared to historical data with AZA alone. AZA-VEN was an effective bridge to aHSCT. Recruitment is ongoing to determine the MTD/RP2D. Figure 1 Figure 1. Disclosures Jabbour: Amgen, AbbVie, Spectrum, BMS, Takeda, Pfizer, Adaptive, Genentech: Research Funding. Kantarjian: Novartis: Honoraria, Research Funding; Astra Zeneca: Honoraria; Amgen: Honoraria, Research Funding; Ipsen Pharmaceuticals: Honoraria; BMS: Research Funding; Daiichi-Sankyo: Research Funding; Jazz: Research Funding; Pfizer: Honoraria, Research Funding; Aptitude Health: Honoraria; Ascentage: Research Funding; AbbVie: Honoraria, Research Funding; Immunogen: Research Funding; NOVA Research: Honoraria; KAHR Medical Ltd: Honoraria; Astellas Health: Honoraria; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria. DiNardo: Agios/Servier: Consultancy, Honoraria, Research Funding; Novartis: Honoraria; Takeda: Honoraria; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Research Funding; ImmuneOnc: Honoraria, Research Funding; Forma: Honoraria, Research Funding; Bristol Myers Squibb: 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; Foghorn: Honoraria, Research Funding; Celgene, a Bristol Myers Squibb company: Honoraria, Research Funding. Daver: Astellas: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding; Hanmi: Research Funding; Trillium: Consultancy, Research Funding; FATE Therapeutics: Research Funding; Sevier: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Consultancy; Glycomimetics: Research Funding; Novimmune: Research Funding; Genentech: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Gilead Sciences, Inc.: Consultancy, Research Funding; ImmunoGen: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Trovagene: Consultancy, Research Funding; 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. Kadia: Sanofi-Aventis: Consultancy; Cellonkos: Other; Ascentage: Other; Novartis: Consultancy; Liberum: Consultancy; Genfleet: Other; Astellas: Other; AstraZeneca: Other; Jazz: Consultancy; Pulmotech: Other; Pfizer: Consultancy, Other; Aglos: Consultancy; Genentech: Consultancy, Other: Grant/research support; Dalichi Sankyo: Consultancy; Cure: Speakers Bureau; BMS: Other: Grant/research support; Amgen: Other: Grant/research support; AbbVie: Consultancy, Other: Grant/research support. Takahashi: Celgene/BMS: Consultancy; Symbio Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; GSK: Consultancy. Short: Takeda Oncology: Consultancy, Research Funding; Astellas: Research Funding; Novartis: Honoraria; NGMBio: Consultancy; Jazz Pharmaceuticals: Consultancy; AstraZeneca: Consultancy; Amgen: Consultancy, Honoraria. Alvarado: Sun Pharma: Consultancy, Research Funding; Jazz Pharmaceuticals: Research Funding; BerGenBio: Research Funding; CytomX Therapeutics: Consultancy; Astex Pharmaceuticals: Research Funding; MEI Pharma: Research Funding; Daiichi-Sankyo: Research Funding; FibroGen: Research Funding. Thompson: Genentech: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding; Amgen: Other: Institution: Honoraria, Research Grant/Funding; Janssen: Consultancy, Honoraria; Pharmacyclics: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding; Adaptive Biotechnologies: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding, Expert Testimony; AbbVie: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding; Gilead: Other: Institution: Advisory/Consultancy, Honoraria. Yilmaz: Daiichi-Sankyo: Research Funding; Pfizer: Research Funding. Ravandi: Astex: Honoraria, Research Funding; Prelude: Research Funding; Taiho: Honoraria, Research Funding; Agios: Honoraria, Research Funding; Jazz: Honoraria, Research Funding; Novartis: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZeneca: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Research Funding; Syros Pharmaceuticals: Consultancy, Honoraria, Research Funding; Xencor: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding. Pemmaraju: Plexxicon: Other, 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; Sager Strong Foundation: Other; Roche Diagnostics: Consultancy; MustangBio: Consultancy, Other; Aptitude Health: Consultancy; Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; Samus: Other, Research Funding; DAVA Oncology: Consultancy; CareDx, Inc.: Consultancy; Springer Science + Business Media: Other; Cellectis S.A. ADR: Other, Research Funding; Daiichi Sankyo, Inc.: Other, 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; Stemline Therap

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)0,001
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 enseignants0,004
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,017
Tête enseignante GPT0,287
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

Citations11
Publié2021
Routes d'admission1
Résumé présentoui

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