A phase II/III, multicenter, open-label, 3-arm study of gilteritinib, gilteritinib plus azacitidine, or azacitidine alone in the treatment of newly diagnosed FLT3 mutation-positive acute myeloid leukemia (AML) patients ineligible for intensive induction chemotherapy.
Bibliographic record
Abstract
TPS7068 Background: Gilteritinib, a highly selective, potent FLT3/AXL inhibitor, showed antileukemic activity with favorable tolerability in a Phase 1/2 trial of FLT3 mutation-positive (FLT3mut+) relapsed/refractory AML. In FLT3mut+ AML cell lines, gilteritinib plus azacitidine (AZA) inhibited growth, and induced apoptosis and differentiation. This ongoing Phase 2/3 trial will examine the efficacy, safety, and tolerability of gilteritinib alone, gilteritinib plus AZA or AZA alone in newly diagnosed FLT3mut+AML patients ineligible for intensive induction chemotherapy. Methods: This open-label, 3-arm, 2-stage randomized trial (NCT02752035) will enroll ~540 newly diagnosed adults with FLT3mut+ (FLT3-ITD or -TKD) AML; those with APL, BCR-ABL+, or active CNS leukemia will be excluded. Before initiation, the safety and tolerability of gilteritinib plus AZA will be assessed in a Safety Cohort to establish the appropriate gilteritinib dose for combination therapy. Subjects will then be randomized 1:1:1 to receive oral gilteritinib alone (120 mg daily; Days 1–28), AZA alone (75 mg/m2 by subcutaneous injection or intravenous infusion on Days 1–7), or AZA (75 mg/m2; Days 1–7) plus oral gilteritinib (daily on Days 1–28 at the dose determined from the Safety Cohort), and stratified by age ( < 75 vs ≥75 years). Subjects will continue treatment until a discontinuation event occurs. The primary endpoint is overall survival of subjects receiving gilteritinib or gilteritinib plus AZA versus AZA alone; the key secondary endpoint is event-free survival. Additional secondary endpoints: complete remission rate, leukemia-free survival, remission duration, composite remission rate, tolerability, and fatigue. Dose changes and interruptions are allowed in all treatment arms. A formal interim futility analysis by an Independent Data Monitoring Committee is planned when ~50 subjects in each treatment arm have either discontinued therapy or completed 2 treatment cycles. Enrollment began on November 21, 2016; as of January 31, 2017, the Safety Cohort is ongoing. Clinical trial information: NCT02752035.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".