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Record 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 on 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

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineDecitabineInternal medicineMyelodysplastic syndromesAdverse effectNeutropeniaInternational Prognostic Scoring SystemPhases of clinical researchGastroenterologyFebrile neutropeniaHypomethylating agentClinical trialBone marrowChemotherapyBiology

Abstract

fetched live from 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.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.303
Teacher spread0.281 · 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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Citations5
Published2018
Admission routes1
Has abstractyes

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