Efficacy and safety of oral decitabine/cedazuridine in the chronic myelomonocytic leukaemia subpopulations from phase 2 and 3 studies
Bibliographic record
Abstract
DNA methyltransferase inhibitors (DNMTis) are commonly used in treating chronic myelomonocytic leukaemia (CMML); however, data from prospective studies of DNMTis in CMML are limited. The present analysis evaluated the efficacy, safety and pharmacodynamics of the oral DNMTi decitabine/cedazuridine in the subset of patients with CMML from the phase 2 and 3 trials, which led to the approval of this agent for myelodysplastic syndromes and CMML in the United States and Canada. Potential prognostic factors also were analysed. In all, 34 patients with CMML were screened and 33 were treated. Most patients (76% [n = 25]) had myelodysplastic type-CMML and 77% (n = 24/31 with DNA available for sequencing) had intermediate-2 or high-risk disease noted by CMML-specific prognostic scoring systems. The overall response rate was 76%, with 21% (n = 7) of patients achieving a complete response. Nearly half of the 11 patients who were red blood cell-transfusion dependent at baseline (46%) attained transfusion independence for ≥12 weeks, which was associated with survival. Median overall and transformation-free survival were 35.7 and 28.3 months, respectively, and the safety profile was similar to that previously reported for decitabine. This analysis described the use of decitabine/cedazuridine in CMML from consecutive, prospective, randomised trials and illustrated a median survival of nearly 3 years.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".