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Record W2985753547 · doi:10.1182/blood-2019-129614

Progression Free Survival (PFS), and Event Free Survival (EFS) 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

2019· article· en· W2985753547 on OpenAlexaff
Jean‐Pierre J. Issa, Marco Gobbi, Patricia Kropf, Pierre Fenaux, Gail J. Roboz, 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, Yong Hao, Mohammad Azab, Hartmut Döhner

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Alberta
Fundersnot available
KeywordsDecitabineInternal medicineMedicineOncologyDiscontinuationClinical endpointPopulationRandomizationProgression-free survivalSurrogate endpointPhases of clinical researchCytarabineAdverse effectRandomized controlled trialGastroenterologyClinical trialLeukemiaChemotherapyBiology

Abstract

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Background: Guadecitabine (G) is a next generation subcutaneous 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 TC of azacitidine (AZA), decitabine (DEC), or low dose Ara-C (LDAC) in 815 TN AML patients unfit for IC (ASTRAL-1 study). The ITT results for the primary endpoints of Complete Response (CR), and Overall Survival (OS) were previously presented (Fenaux et al, EHA abstract S879, 2019). There is no consensus on definition of disease progression particularly with HMA treatment which may continue to benefit patients in the absence of objective response. EFS analysis based on end of treatment benefit (treatment discontinuation, or start of an alternative therapy, or death) regardless of progression may offer a simpler way of assessing HMA treatment benefit. We describe here the results of the study based on both PFS and EFS analyses and how they compare with OS analyses in the overall ITT population, and in subgroups of patients based on number of cycles administered. M ethods: TN-AML ineligible for IC due to age ≥ 75 y, or comorbidities, 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 regimens. AML diagnosis, and response status by IWG 2003 criteria, were assessed by an independent central pathologist blinded to randomization assignment. CR and OS were co-primary endpoints. PFS was a secondary endpoint calculated from date of randomization to the earliest date of progression by investigators or central assessment, relapse after response, start of an alternative therapy, or death. Since progression date is sometimes difficult to ascertain under HMA treatment, an EFS analysis was conducted post hoc using the concept of time to treatment failure. EFS was therefore calculated from date of randomization to the earliest date of discontinuation of randomized treatment, start of an alternative therapy, or death. PFS, EFS, and OS data are presented for the overall ITT population, and for patients who received at least 4 cycles or 6 cycles, and patients who had an objective response. 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. The majority of patients were randomized to receive an HMA: 759 patients (93%) with only 56 patients (7%) randomized to receive LDAC. In the primary ITT analysis, CR (19.4% for G and 17.4% for TC), and OS Hazard Ratio (0.97; 95% CI 0.83-1.14) were not significantly different between G and TC. An equal proportion of patients received at least 4 cycles (57.6% for G vs 59.2% for TC), or 6 cycles (45.8% for G vs 46.2% for TC) so there was no obvious bias in terms of adherence to treatment in the 2 study arms. Table shows OS, PFS, and EFS median survival, G/TC HR with 95% CI, and p values for the primary ITT population as well as for patients who received at least 4 cycles (N=476 patients), and those who received at least 6 cycles (N=375 patients). G/TC HR for all analyses favored guadecitabine (HR <1). However only OS, and EFS seemed to significantly favor G in patients who received adequate treatment duration by number of cycles. EFS was also the only analysis to significantly favor G in the overall ITT population suggesting that it may be a better predictor of OS benefit in patients who went on to receive adequate treatment with at least 4 or 6 cycles (Table). In addition, EFS also significantly favored G in patients who achieved an objective response (CR, CRp, CRi, or PR): median EFS for G 17.4 vs 14.6 m for TC, HR 0.68, 95% CI 0.5-0.93, p 0.016. Summary/Conclusions: In a large global 815-patient randomized study of G vs TC (composed mainly of first generation HMAs), EFS analyses that do not rely on progression date which is sometimes difficult to define favored G over TC in the ITT population, and seemed to better predict OS benefit in patients who went on to receive at least 4 or 6 cycles. EFS calculated from date of randomization to the earliest date of randomized treatment discontinuation, start of alternative therapy, or death as conducted here could be a simple surrogate for cessation of treatment benefit particularly for patients treated with HMAs. Table Disclosures Fenaux: Celgene Corporation: Honoraria, Research Funding; Aprea: Research Funding; Astex: Honoraria, Research Funding; Jazz: Honoraria, Research Funding. 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; Roche/Genentech: 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; Otsuka: 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; MEI Pharma: 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; Jazz: 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; Eisai: 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; Celltrion: 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; Bayer: 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; Astex: 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; Amphivena: 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. Mayer:AOP Orphan Pharmaceuticals AG: Research Funding. Robak:Takeda: Consultancy, Research Funding; UCB: Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel grant, Research Funding; Roche: Consultancy, Other: Travel grant, Research Funding; Amgen: Consultancy, Other: Travel grant; Abbvie: Consultancy, Honoraria, Other: Travel grant, Research Funding; Gilead: Consultancy, Research Funding; BeiGene: Consultancy, Research Funding; Acerta: Research Funding; Morphosys AG: Research Funding. Kantarjian:Pfizer: Honoraria, Research Funding; Cyclacel: Research Funding; Novartis: Research Funding; Immunogen: Research Funding; Astex: Research Funding; Ariad: Research Funding; Agios: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria; AbbVie: Honoraria, Research Funding; BMS: Research Funding; Jazz Pharma: Research Funding; Amgen: Honoraria, Research Funding. Novak:Janssen: Other: Travel,Accommodations; Takeda: 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; Pfizer: 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; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees. Jedrzejczak:Roche: Other: travel support for hematology meetings (ASH, EBMT, EHA) ; Novartis: Research Funding; Takeda: Consultancy; Celgene: Other: travel support for hematology meetings (ASH, EBMT, EHA) ; Amgen: Consultancy, Other: travel support for hematology meetings (ASH, EBMT, EHA) . Thomas:ABBVIE: Honoraria; PFIZER: Honoraria; DAICHI: Honoraria; INCYTE: Honoraria. Miyazaki:Kyowa-Kirin: Honoraria; Dainippon-Sumitomo: Honoraria; Nippon-Shinyaku: Honoraria; Novartis: Honoraria; Chugai: Research Funding; Otsuka: Honoraria. Brandwein:Jazz Pharma: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria; Otsuka: Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Roche: Research Funding. Demeter:Pfizer: Other: Advisory Board; Amgen: Other: Advisory Board; Bristol Myers Squibb: Other: Advisory Board; Novartis: Other: Advisory Board; Amicus: Other: Advisory Board; Angelini: Other: Advisory Board; Roche: Other: Advisory Board. Griffiths:Celgene, Inc: Consultancy, Research Funding; Genentech, Inc.: Research Funding; Genentech, Inc.: Research Funding; Abbvie, Inc.: Consultancy; New Link Genetics: Consultancy; Celgene, Inc: Consultancy, Research Funding; Persimmune: Consultancy; Persimmune: Consultancy; Boston Scientific: Consultancy; Partner Therapeutics: Consultancy; Astex Phramaceuticals/Otsuka Pharmaceuticals: Consultancy, Research Funding; Boston Scientific: Consultancy; Appelis Pharmaceu

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.004
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.331
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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