Improved transfusion independence rates for momelotinib versus ruxolitinib in anemic JAKi naïve myelofibrosis patients independent of baseline platelet or transfusion status.
Bibliographic record
Abstract
e19039 Background: Momelotinib (MMB) is a potent JAK1, JAK2 and ACVR1 inhibitor with clinical activity against the hallmark features of myelofibrosis (MF), namely anemia, constitutional symptoms and splenomegaly, across the continuum of JAKi naïve or previously JAKi treated intermediate/high risk MF patients as demonstrated in the previously conducted Phase 3 SIMPLIFY-1 & -2 clinical trials (S1, S2). S1 was conducted in JAKi-naïve patients with MF (n = 432) double-blind randomized 1:1 to MMB or ruxolitinib (RUX). MMB demonstrated a statistically non-inferior splenic response rate (SRR) to RUX at the W24 landmark analysis in S1 but did not meet significance for total symptom score (TSS) response. Low SRR and TSS response was observed for RUX in patients with low platelets, while MMB elicited consistent SRR and TSS response across the platelet subsets, comparable to the response in the ITT. Transfusion independence (TI) at W24 was higher for MMB vs RUX patients across all PLT strata. Methods: Progressive anemia is a common occurrence in MF with nearly all MF patients requiring transfusions as their disease advances. Given the prognostic importance of Hgb and transfusion status in MF patients including evidence that achieving or maintaining transfusion independence by Week 24 with momelotinib is associated with improved OS in S1 and S2, we expanded the previously reported retrospective platelet subset analysis to explore the W24 TI response rates for MMB and RUX randomized patients in S1 by baseline Hgb and PLT levels and transfusion status. Results: The data presented here suggest that the prognostically-important W24 TI rate was substantively higher in anemic patients receiving MMB versus RUX, irrespective of the degree of anemia. MMB is also more effective relative to RUX in achieving or maintaining TI in JAKi naïve patients irrespective of baseline PLT count or baseline transfusion status. Conclusions: Together with data suggesting that TI response at W24 with momelotinib is associated with a survival advantage, these data further support the potential TI benefits of inhibiting ACVR1 in addition to JAK1 and JAK2 with MMB in MF patients. Clinical trial information: NCT01969838, NCT02101268. [Table: see text]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".