MétaCan
Menu
Retour à la cohorte
Enregistrement W2982755933 · doi:10.1182/blood-2019-127253

Results from a Global Randomized Phase 3 Study of Guadecitabine (G) Vs Treatment Choice (TC) in 815 Patients with Treatment Naïve (TN) AML Unfit for Intensive Chemotherapy (IC) ASTRAL-1 Study: Analysis By Number of Cycles

2019· article· en· W2982755933 sur OpenAlexaff
Gail J. Roboz, Hartmut Döhner, Marco Gobbi, Patricia Kropf, Jiřı́ Mayer, Jürgen Krauter, Tadeusz Robak, Hagop M. Kantarjian, Jan Novák, W Wiktor-Jędrzejczak, Xavier Thomas, Mario Ojeda‐Uribe, Yasushi Miyazaki, Yoo Hong Min, Su‐Peng Yeh, Joseph Brandwein, Liana Gercheva, Judit Demeter, Elizabeth A. Griffiths, Karen Yee, Jean‐Pierre J. Issa, Yong Hao, Mohammad Azab, Pierre Fenaux

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer CentreUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésDecitabineMedicineInternal medicineDiscontinuationClinical endpointRandomizationCytarabineAzacitidineSurrogate endpointGastroenterologyChemotherapy regimenOncologyPhases of clinical researchChemotherapyRandomized controlled trialBiology

Résumé

récupéré en direct d'OpenAlex

Background: Guadecitabine (G) is a next generation subcutaneous (SC) hypomethylating agent (HMA) resistant to degradation by cytidine deaminase which results in prolonged in vivo exposure to the active metabolite decitabine. We conducted a large global randomized phase 3 study of G vs Treatment Choice (TC) with azacitidine (AZA), decitabine (DEC), or low dose Ara-C (LDAC) in 815 TN AML patients unfit for IC (ASTRAL-1 study). The primary ITT results were previously presented (Fenaux et al, EHA abstract S879, 2019). Clinical guidelines for single agent HMAs recommend a minimum of 4 to 6 treatment cycles for maximum benefit. We describe here the results of the study based on number of treatment cycles administered. M ethods: TN-AML patients ineligible for IC due to age ≥ 75 y, or coexisting morbidities, or ECOG PS 2-3 were randomized 1:1 to either G (60 mg/m2/d SC for 5-days Q28 days) or a preselected TC of AZA, DEC, or LDAC at their standard dose/schedule. AML diagnosis and response status were assessed by an independent central pathologist blinded to randomization assignment. Complete response (CR) and overall survival (OS) were co-primary endpoints. We analyzed patients' characteristics, number of treatment cycles, reasons for treatment discontinuation, CR, and OS including analyses by number of cycles received including prospective subgroups, and OS analyses of responders and non-responders. Results: 815 patients were randomized to G (408) or TC (407). Preselected TCs prior to randomization were DEC (43%), AZA (42%), and LDAC (15%). Baseline variables were well balanced across the 2 treatment arms. For G vs TC respectively, age ≥75 y in 62% vs 62.4%, PS 2-3 in 50.5% vs 50.4% (including 10.8% vs 8.8% PS 3), and poor risk cytogenetics in 34.3% vs 34.6%. Most patients were assigned to an HMA at randomization (759, 93%) with only 56 patients (7%) randomized to receive LDAC. Both CR (19.4% for G and 17.4% for TC), and OS Hazard Ratio (0.97; 95% CI 0.83-1.14) were similar and not significantly different between G and TC. Many patients in both arms did not receive the recommended minimum of 4 cycles (42.4% vs 40.8% for G vs TC respectively), or 6 cycles (54.2% vs 53.8% for G vs TC). The proportions were well balanced between the 2 treatment arms. Characteristics of patients who received at least 4 or 6 cycles were also well balanced between the 2 treatment arms for age, PS 2-3, secondary AML, poor risk cytogenetics, BM blasts >30%, and proliferative AML (total white cell count ≥20,000/uL). The primary reasons and proportions for treatment discontinuation were similar for the 2 treatments arms. For patients with <4 and <6 cycles respectively they are, in descending order, early deaths (16.7% and 20.7% of the overall ITT population), progression (7.6% and 11.7%), adverse events (5.8% and 6.9%), and patient decision (5.5% and 7.1%). In patients who received at least 4 cycles more patients achieved CR on G (33.6%) vs TC (28.6%), and median OS was longer on G (15.6 months for G vs 13 for TC, HR 0.78, 95% CI 0.64-0.96, log-rank p 0.02, Fig 1). Similarly, in patients who received at least 6 cycles, there were more CR on G (40.1%) vs TC (36.2%) and median OS was longer on G (19.5 months for G vs 15.0 for TC, HR 0.69, 95% CI 0.54-0.88, log-rank p 0.002, Fig 2). Subgroup analyses of OS in patients who received at least 4 or 6 cycles showed that survival benefit from G over TC was consistent in all prospective subgroups including against each of the 3 TCs (AZA, DEC, and LDAC). OS analyses in patients who received at least 4 or 6 cycles also favored G vs TC in both responders (CR, CRp, CRi, or PR) and non-responders with maximum benefit in patients who received at least 6 cycles (G vs TC OS HR 0.66, 95% CI 0.45-0.96, log-rank p 0.028 for responders, and HR of 0.73, 95% CI 0.53-1.00, log-rank p 0.048 for non-responders). Summary/Conclusions: In a large global 815-patient randomized study of G vs TC composed mainly of first generation HMAs, G was at least as effective as TC based on the primary ITT analysis of CR and the narrow 95% CI of OS HR (0.83-1.14). Analyses of patients by number of treatment cycles showed that those who received at least 4 or 6 cycles achieved longer OS in G vs TC with the largest benefit in those who received at least 6 cycles. The benefit was observed in all subgroups, and in both responders and non-responders. Treatment with single agent guadecitabine should continue as long as the patient can still benefit and for at least 6 cycles to gain the maximum survival benefit. Disclosures Roboz: Trovagene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sandoz: 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; Actinium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amphivena: Consultancy, Membership on an entity's Board of Directors or advisory committees; Argenx: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astex: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celltrion: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Eisai: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees; Otsuka: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees. Döhner:Celgene, Novartis, Sunesis: Honoraria, Research Funding; AbbVie, Agios, Amgen, Astellas, Astex, Celator, Janssen, Jazz, Seattle Genetics: Consultancy, Honoraria; AROG, Bristol Myers Squibb, Pfizer: Research Funding. Mayer:AOP Orphan Pharmaceuticals AG: Research Funding. Krauter:Pfizer: Honoraria. Robak:Takeda: Consultancy, Research Funding; UCB: Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel grant, Research Funding; Amgen: Consultancy, Other: Travel grant; Roche: Consultancy, Other: Travel grant, Research Funding; Abbvie: Consultancy, Honoraria, Other: Travel grant, Research Funding; Gilead: Consultancy, Research Funding; BeiGene: Consultancy, Research Funding; Acerta: Research Funding; Morphosys AG: Research Funding. Kantarjian:Agios: Honoraria, Research Funding; Astex: Research Funding; Jazz Pharma: Research Funding; Amgen: Honoraria, Research Funding; BMS: Research Funding; Novartis: Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Immunogen: Research Funding; AbbVie: Honoraria, Research Funding; Takeda: Honoraria; Cyclacel: Research Funding; Pfizer: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Ariad: Research Funding. Novak:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel,Accommodations; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Other: Travel,Accommodations. Jedrzejczak:Takeda: Consultancy; Amgen: Consultancy, Other: travel support for hematology meetings; Celgene: Other: travel support for hematology meetings; Novartis: Research Funding; Roche: Other: travel support for hematology meetings. Thomas:PFIZER: Honoraria; ABBVIE: Honoraria; DAICHI: Honoraria; INCYTE: Honoraria. Miyazaki:Chugai: Research Funding; Otsuka: Honoraria; Novartis: Honoraria; Nippon-Shinyaku: Honoraria; Dainippon-Sumitomo: Honoraria; Kyowa-Kirin: Honoraria. Brandwein:Jazz Pharma: Consultancy, Honoraria; Otsuka: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Roche: Research Funding; Novartis: Consultancy, Honoraria. Demeter:Angelini: Other: Advisory Board; Pfizer: Other: Advisory Board; Novartis: Other: Advisory Board; Bristol Myers Squibb: Other: Advisory Board; Amicus: Other: Advisory Board; Amgen: Other: Advisory Board; Roche: Other: Advisory Board. Griffiths:Astex Phramaceuticals/Otsuka Pharmaceuticals: Consultancy, Research Funding; Persimmune: Consultancy; Persimmune: Consultancy; Genentech, Inc.: Research Funding; Appelis Pharmaceuticals: Other: PI on a clinical trial; New Link Genetics: Consultancy; Novartis Inc.: Consultancy; Novartis Inc.: Consultancy; Onconova

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)0,007
score de la tête « metaresearch » (Gemma)0,004
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 enseignants0,007
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,004
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,002
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,016
Tête enseignante GPT0,333
Écart entre enseignants0,317 · 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

Citations14
Publié2019
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetAcute Myeloid Leukemia ResearchTravaux en français237 207