Maintenance therapy with the <i>FMS</i>‐like tyrosine kinase 3 inhibitor gilteritinib in patients with <i>FMS</i>‐like tyrosine kinase 3–internal tandem duplication acute myeloid leukemia: A phase 2 study
Bibliographic record
Abstract
BACKGROUND: The GOSSAMER phase 2 study assessed the FMS-like tyrosine kinase 3 (FLT3) inhibitor gilteritinib as maintenance therapy in patients with FLT3-internal tandem duplication (FLT3-ITD) acute myeloid leukemia (AML) in first complete remission without previous hematopoietic stem cell transplantation (HSCT). METHODS: Patients had to be within 2 months of their last consolidation cycle and have completed the recommended number of cycles per local practice. FLT3 inhibitors were allowed only during induction and/or consolidation. The primary end point was relapse-free survival (RFS). Secondary end points included overall survival (OS), event-free survival, and measurable residual disease (MRD). RESULTS: In total, 98 patients were randomized (gilteritinib, n = 63; placebo, n = 35). RFS was not significantly different between the arms (hazard ratio, 0.74; 95% confidence interval, 0.41-1.34; p = .16). RFS rates for the gilteritinib and placebo arms were 68.5% and 55.3% at 1 year, 51.8% and 44.9% at 2 years, and 41.2% and 40.8% at 3 years, respectively. OS was not significantly different between the arms but may have been affected by subsequent AML therapies after discontinuation. In patients who received subsequent therapy (gilteritinib, 46.8%; placebo, 60.0%), a higher percentage of placebo-treated (57.1%) versus gilteritinib-treated patients (27.6%) underwent HSCT. At the end of treatment, 96.4% of gilteritinib-treated and 85.7% of placebo-treated patients had undetectable MRD. Relapsed placebo-treated (86.7%) versus gilteritinib-treated patients (34.8%) had a greater FLT3 mutational burden. No new significant safety concerns were noted. CONCLUSIONS: The primary end point was not achieved; however, an observed trend toward potential benefit was noted in patients with FLT3-ITD AML who had not undergone prior HSCT.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".