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Record W2904401218 · doi:10.1182/blood-2018-99-110976

Multicenter, Open-Label, 3-Arm Study of Gilteritinib, Gilteritinib Plus Azacitidine, or Azacitidine Alone in Newly Diagnosed FLT3 Mutated (FLT3mut+) Acute Myeloid Leukemia (AML) Patients Ineligible for Intensive Induction Chemotherapy: Findings from the Safety Cohort

2018· article· en· W2904401218 on OpenAlexaff
Jordi Esteve, Rik Schots, Je‐Hwan Lee, Eunice S. Wang, Shira Dinner, Mark D. Minden, Olga Salamero, Jorge Sierra, Goichi Yoshimoto, Kamel Laribi, Janusz Hałka, Pau Montesinos, Shufang Liu, Elizabeth Rich, Erkut Bahceci

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsTolerabilityMedicineInternal medicineSurgeryGastroenterologyAdverse effect

Abstract

fetched live from OpenAlex

Abstract Background: Gilteritinib, a highly selective, potent FLT3/AXL inhibitor, showed antileukemic activity with favorable tolerability in a phase 1/2 trial of patients (pts) with FLT3mut+ relapsed/refractory AML (Perl AE, et al. Lancet Oncol. 2017). Gilteritinib plus azacitidine (AZA) synergistically induced apoptosis and inhibited growth in the MV4-11 cell line and in MV4-11 tumors (Ueno Y, et al. Blood. 2016). The safety, tolerability, and efficacy of gilteritinib alone, gilteritinib plus AZA, or AZA alone is being evaluated in pts with newly diagnosed FLT3mut+ AML ineligible for intensive induction chemotherapy; this abstract presents data from the Safety Cohort which evaluated only gilteritinib plus AZA. Methods: Adults with newly diagnosed FLT3mut+ (FLT3-ITD or FLT3-TKD) AML are being enrolled in this ongoing clinical trial (NCT02752035). Prior to initiation of the randomized portion of the study, the appropriate gilteritinib dose for combination therapy was assessed in a Safety Cohort. Patients enrolled in this cohort received escalating doses of oral gilteritinib (80 or 120 mg/day) on Days 1-28 in combination with subcutaneous or intravenous AZA (75 mg/m2/day) on Days 1-7. Observations of dose-limiting toxicities (DLTs) were collected through Cycle 1; treatment was continued in 28-day cycles until lack of clinical benefit or unacceptable toxicity. Safety and tolerability were the primary endpoints of the Safety Cohort; antileukemic response rates (ie, complete remission [CR], CR with incomplete platelet recovery [CRp], CR with incomplete hematological recovery [CRi], partial remission [PR], and overall response rate [ORR]) were also assessed. Results: A total of 15 adult pts (median age, 76 [range: 65-86]) were enrolled into the Safety Cohort (n=9, 80 mg gilteritinib; n=6, 120 mg gilteritinib); 14 pts were FLT3mut+ (ITD alone, n=10; TKD alone, n=3; ITD and TKD, n=1) and 1 pt had no FLT3 mutation. As of 25 June 2018, more than half (n=8/15; 56%, Figure) of the pts had a treatment duration of >6 mo, while 9 pts discontinued treatment (death, n=4; relapse; adverse event [AE]; physician decision; sponsor decision; subject withdrawal, n=1 each) and 6 pts remained on treatment. During the DLT observation period, 1 DLT (tumor lysis syndrome) was observed in a pt who received 80 mg gilteritinib plus AZA; no DLTs were reported in pts who received 120 mg gilteritinib plus AZA. One or more AEs were seen in all 15 pts; 12 (80%) experienced AEs considered at least possibly related to treatment. Adverse events occurring in ≥25% of pts were anemia (n=7), febrile neutropenia and nausea (n=6 each), increased ALT and AST, constipation, diarrhea, neutropenia, thrombocytopenia, and pyrexia (n=5 each), and decreased appetite, fatigue, increased blood creatinine, and hypocalcemia (n=4 each). Grade ≥3 AEs occurring in ≥25% of pts were febrile neutropenia (n=6), anemia and neutropenia (n=5 each), and thrombocytopenia (n=4). Serious AEs occurring in >2 pts were febrile neutropenia (n=5), and anemia and pyrexia (n=3 each). Of the 8 pts with fatal AEs, none of which were related to treatment, 3 occurred early in treatment: septic shock (Day 2), respiratory failure (Day 6), and cerebral hemorrhage in the setting of acute kidney injury and uremia (Day 17). None of the 13 pts with post-baseline lab data had any potentially clinically significant AST/ALT (>3 X ULN) and total bilirubin (>2 X ULN) values; none of the pts had a maximum post-baseline QTcF interval >500 msec. Across the Safety Cohort, a composite complete remission rate of 67% (n=10/15) was observed; 4 pts achieved a best overall response of CR and 6 achieved CRi (Figure). Two additional pts (13%) achieved a best overall response of PR, giving an ORR of 80%. One DLT from the 11 DLT evaluable pts (defined as pts who experienced a DLT, or in the absence of DLT, received at least 23 of 28 doses of gilteritinib and at least 5 of 7 doses of AZA during the DLT observation period) informed the decision to proceed to the randomized portion at a dose of 120 mg gilteritinib for the combination treatment arm. Conclusions: Gilteritinib and AZA were generally well tolerated with no unexpected AEs. This combination therapy induced antileukemic responses in newly diagnosed FLT3mut+ AML pts unfit to receive standard induction chemotherapy. Based on these results, pts are being enrolled into the randomized portion of the study with a dose of 120 mg gilteritinib for the combination treatment arm. Disclosures Wang: Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz: Speakers Bureau; Jazz: Speakers Bureau; Amgen: Consultancy; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Speakers Bureau; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Speakers Bureau; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy. Laribi:Amgen: Other: Personal fees; Takeda: Other: Grant and personal fees; Sandoz: Other: Grant; Novartis: Other: Grant and personal fees; Teva: Other: Grant; Gilead: Other: Personal fees; Hospira: Other: Grant; Roche: Other: Grant. Montesinos:Daiichi Sankyo: Consultancy, Speakers Bureau; Novartis: Research Funding, Speakers Bureau. Liu:Astellas Pharma: Employment. Rich:Astellas Pharma: Employment. Bahceci:Astellas Pharma: Employment.

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)0.004
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.004
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 head0.028
GPT teacher head0.289
Teacher spread0.261 · 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 designNon-randomized 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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Citations51
Published2018
Admission routes1
Has abstractyes

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