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Enregistrement W2910614206 · doi:10.1182/blood-2018-99-110465

Long Term Results of a Randomized Phase 2 Dose-Response Study of Guadecitabine, a Novel Subcutaneous (SC) Hypomethylating Agent (HMA), in 102 Patients with Intermediate or High Risk Myelodysplastic Syndromes (MDS) or Chronic Myelomonocytic Leukemia (CMML)

2018· article· en· W2910614206 sur OpenAlexaff
Guillermo Garcia‐Manero, Ellen K. Ritchie, Katherine Walsh, Michael R. Savona, Hagop M. Kantarjian, Patricia Kropf, Casey L. O’Connell, Raoul Tibes, Naval Daver, Elias Jabbour, Scott D. Lunin, Todd Rosenblat, Karen Yee, Wendy Stock, Elizabeth A. Griffiths, Joseph R. Mace, Nikolai A. Podoltsev, Jesús G. Berdeja, Jean‐Pierre J. Issa, Sue Naim, Yong Hao, Mohammad Azab, Gail J. Roboz

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineDecitabineInternal medicineMyelodysplastic syndromesAdverse effectNeutropeniaInternational Prognostic Scoring SystemPhases of clinical researchGastroenterologyFebrile neutropeniaHypomethylating agentClinical trialBone marrowChemotherapyBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Guadecitabine SC (SGI-110) is a dinucleotide next generation HMA resistant to degradation by cytidine deaminase resulting in extended in vivo exposure to its active metabolite decitabine. A Phase 1 established 60 mg/m2 QDx5 as the biologically effective dose (BED), and 90 mg/m2 QDx5 as the Maximum tolerated dose (MTD) in MDS patients given in 28-day cycles (Issa et al, 2015, Lancet Oncology). Phase 2 is conducted to evaluate dose response between the BED and MTD in both untreated MDS patients, and patients previously treated with other HMAs. M ethods: Int, or HR MDS, and CMML patients who were either treatment-naïve (TN) or relapsed/refractory to other HMAs (r/r) were randomized to either 60 mg/m2 or 90 mg/m2 QDx5 every 28 days. Efficacy was evaluated by the clinical responses of CR, PR, marrow CR (mCR), and Hematological Improvement (HI) based on the International Working Group Criteria 2006, as well as transfusion-independence, and overall survival (OS). Adverse events (AEs) were graded by the CTCAE v4 criteria. Results: The study completed target enrolment with 102 patients: 53 r/r MDS, and 49 TN MDS. Fifty three patients were randomized to 60 mg/m2 and 49 patients to 90 mg/m2 QDx5 with a median follow up of 3.2 years (IQR 2.8-3.5 years). Median age was 72 and 71 years for r/r and TN MDS respectively. Most baseline patient characteristics were well balanced between the 2 treatment dose groups except that more CMML patients were randomized to the 60 mg/m2 group (28%) vs. 14% in the 90 mg/m2 group, and more patients with baseline BM blasts >5% were in the 90 mg/m2 group (67%) vs. 38% in the 60 mg/m2 group. Most patients were RBC transfusion-dependent at baseline (57%). In the r/r MDS cohort, most patients (58%) received their last HMA treatment <3 month before enrolment, and most of them received ≥6 months of prior HMA treatment (77%). Median number of treatment cycles was 5 for both r/r and TN MDS (range 1-37 in r/r MDS and 1-49 in TN MDS). In the TN MDS cohort CR was achieved in 11 (22%) of patients with no major difference between the 2 dose groups (19% in the 60 mg/m2 group vs 27% in the 90 mg/m2 group). Overall CR+mCR was achieved in 18 patients (37%) in TN MDS patients and median OS was 23.4 months. In the r/r MDS cohort, CR was achieved in 4% of patients in each of the 2 dose groups. Overall CR+mCR in the r/r MDS cohort was achieved in 17 patients (32%), with a median duration of response of 7.9 months, and median OS of 11.7 months. No significant difference in response or OS between the 2 dose groups was observed. In patients who were RBC transfusion-dependent at baseline, transfusion independence for at least 8 weeks was achieved in 42% of TN MDS, and 15% in r/r MDS patients. In the overall population of 102 TN and r/r MDS patients there were no major differences in OS based on DNMT3A or TET2 mutation status while patients with TP53 mutations had worse median OS (7.4 months) compared to those without TP53 mutations (22.6 months). Other baseline prognostic factors for worse OS were BM blasts >5%; RBC transfusion-dependence; IPSS High Risk; and ECOG Performance Status of >1. Overall incidence of Grade ≥3 AEs regardless of relationship to treatment was reported in 83 vs. 96% for 60 and 90 mg/m2 dose groups respectively. There was a slightly higher but non-significant difference in Grade ≥3 thrombocytopenia (57 vs 41.5%); neutropenia (51 vs 39.6%); febrile neutropenia (43% vs 32%); and pneumonia (32.7 vs. 26.4%) for the 90 mg/m2 compared to 60 mg/m2 dose group. Early 30, 60, and 90-day all-cause mortality was observed in 0, 3.7%, and 5.7% in the 60 mg/m2 dose group respectively; and in 2%, 4%, and 12% in the 90 mg/m2 dose group respectively. Conclusions: Guadecitabine at both dose groups is a well-tolerated novel HMA with clinical activity in the treatment of both TN and r/r Int and HR MDS, and CMML patients. In TN MDS patient CR rate of 22% and median OS of 23.4 months compare well with first generation HMA efficacy (Fenaux et al, 2009, Lancet Oncology). Activity in r/r MDS who previously failed prior HMAs is particularly promising (CR+mCR in 32% of patients with median duration of response and overall survival of almost 8 and 12 months respectively). A phase 3 trial (ASTRAL-3) of guadecitabine vs Physician Treatment Choice in r/r MDS and CMML patients previously treated with azacitidine or decitabine is actively enrolling (ClinicalTrials.gov ID: NCT02907359). Disclosures Ritchie: NS Pharma: Research Funding; Bristol-Myers Squibb: Research Funding; Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Celgene: Consultancy, Other: Travel, Accommodations, Expenses, Speakers Bureau; Pfizer: Consultancy, Research Funding; ARIAD Pharmaceuticals: Speakers Bureau; Astellas Pharma: Research Funding. Savona:Boehringer Ingelheim: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kropf:Celegene: Consultancy; Takeda: Consultancy. Daver:Pfizer: Consultancy; Sunesis: Consultancy; Pfizer: Research Funding; ImmunoGen: Consultancy; ARIAD: Research Funding; Novartis: Research Funding; Incyte: Research Funding; Otsuka: Consultancy; Novartis: Consultancy; Karyopharm: Consultancy; Alexion: Consultancy; Incyte: Consultancy; Karyopharm: Research Funding; BMS: Research Funding; Kiromic: Research Funding; Daiichi-Sankyo: Research Funding; Sunesis: Research Funding. Jabbour:Pfizer: Consultancy, Research Funding; Novartis: Research Funding; Abbvie: Research Funding; Takeda: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding. Yee:Celgene, Novartis, Otsuka: Membership on an entity's Board of Directors or advisory committees; Agensys, Astex, GSK, Onconova, Genentech/Roche: Research Funding. Stock:Jazz Pharmaceuticals: Consultancy. Griffiths:Alexion Inc.: Honoraria, Research Funding; Astex/Otsuka Pharmaceuticals: Honoraria, Research Funding; Celgene, Inc: Honoraria, Research Funding; Novartis, Inc.: Research Funding; Pfizer, Inc.: Research Funding. Podoltsev:Astex Pharmaceuticals: Research Funding; LAM Therapeutics: Research Funding; Sunesis Pharmaceuticals: Research Funding; Genentech: Research Funding; Boehringer Ingelheim: Research Funding; Daiichi Snakyo: Research Funding; Astellas Pharma: Research Funding; Pfizer: Research Funding; Celator: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding. Berdeja:Genentech: Research Funding; Bluebird: Research Funding; Amgen: Research Funding; Novartis: Research Funding; Glenmark: Research Funding; Takeda: Research Funding; Bristol-Myers Squibb: Research Funding; Teva: Research Funding; Sanofi: Research Funding; Poseida Therapeutics, Inc.: Research Funding; Celgene: Research Funding; Janssen: Research Funding. Naim:Astex Pharmaceuticals, Inc.: Employment. Hao:Astex Pharmaceuticals, Inc.: Employment. Azab:Astex Pharmaceuticals, Inc.: Employment. Roboz:Orsenix: Consultancy; Roche/Genentech: Consultancy; Roche/Genentech: Consultancy; Otsuka: Consultancy; Bayer: Consultancy; Pfizer: Consultancy; Jazz Pharmaceuticals: Consultancy; Argenx: Consultancy; Sandoz: Consultancy; Celltrion: Consultancy; Bayer: Consultancy; Orsenix: Consultancy; Pfizer: Consultancy; Astex Pharmaceuticals: Consultancy; Daiichi Sankyo: Consultancy; Sandoz: Consultancy; Daiichi Sankyo: Consultancy; Novartis: Consultancy; Janssen Pharmaceuticals: Consultancy; Cellectis: Research Funding; Eisai: Consultancy; Celgene Corporation: Consultancy; Jazz Pharmaceuticals: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy; Eisai: Consultancy; Novartis: Consultancy; Otsuka: Consultancy; Argenx: Consultancy; Celltrion: Consultancy; Astex Pharmaceuticals: Consultancy; Aphivena Therapeutics: Consultancy; AbbVie: Consultancy; Aphivena Therapeutics: Consultancy; AbbVie: Consultancy; Cellectis: 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 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)0,003
score de la tête « metaresearch » (Gemma)0,002
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 randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,004
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 Opus0,022
Tête enseignante GPT0,303
Écart entre enseignants0,281 · 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 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

Citations5
Publié2018
Routes d'admission1
Résumé présentoui

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