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Record 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 on 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

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Alberta
Fundersnot available
KeywordsDecitabineMedicineInternal medicineDiscontinuationClinical endpointRandomizationCytarabineAzacitidineSurrogate endpointGastroenterologyChemotherapy regimenOncologyPhases of clinical researchChemotherapyRandomized controlled trialBiology

Abstract

fetched live from 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

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)0.007
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 score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.333
Teacher spread0.317 · 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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Citations14
Published2019
Admission routes1
Has abstractyes

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