Ziftomenib in Relapsed or Refractory <i>NPM1</i> -Mutated AML
Bibliographic record
Abstract
PURPOSE Ziftomenib—a potent, highly selective, oral menin inhibitor—was well tolerated and demonstrated encouraging clinical activity as monotherapy for relapsed/refractory NPM1 -mutated ( NPM1 -m) and KMT2A -rearranged AML in the KOMET-001 phase I trial. METHODS In the registration-enabling phase II part of KOMET-001, patients with relapsed/refractory NPM1 -m AML received ziftomenib 600 mg once daily. The primary end point was the rate of complete remission with full hematologic recovery (CR)/CR with partial hematologic recovery (CRh). RESULTS From January 26, 2023, to May 13, 2024, 92 patients (median age, 69 years [range, 33-84]) were treated. The primary end point was met, with a CR/CRh rate of 22% (95% CI, 14 to 32; P = .0058); 61% were negative for measurable residual disease. Overall response rate was 33% (95% CI, 23 to 43), with a median duration of 4.6 months (95% CI, 2.8 to 7.4). Prespecified subgroup analyses showed comparable CR/CRh regardless of previous therapy, including venetoclax, or type of comutations. Median overall survival was 6.6 months (95% CI, 3.6 to 8.6). Common grade ≥3 treatment-emergent adverse events were febrile neutropenia (26%), anemia (20%), and thrombocytopenia (20%). Differentiation syndrome occurred in 25% of patients (15% grade 3; no grade 4-5) and was manageable with protocol-defined mitigation. Three patients (3%) discontinued treatment because of ziftomenib-related adverse events. CONCLUSION Ziftomenib demonstrated significant clinical benefit and deep responses in patients with heavily pretreated, relapsed/refractory NPM1 -m AML. Ziftomenib was well tolerated with a safety profile consistent with previous studies, including manageable differentiation syndrome, lack of clinically significant QTc prolongation, and low rates of myelosuppression.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".