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Record W4417021721 · doi:10.1182/blood-2025-3795

The activin receptor-like kinase-2 inhibitor zilurgisertib (INCB000928) as monotherapy or with ruxolitinib in patients with anemia due to myelofibrosis: Phase 1/2 study final results

2025· article· en· W4417021721 on OpenAlexaff
Prithviraj Bose, Stephen T. Oh, Anthony M. Hunter, Francesca Palandri, Haris Ali, Paola Guglielmelli, Vikas Gupta, Tomoki� Ito, Jean‐Jacques Kiladjian, Taizo Shimomura, Andrew Sochacki, Masahiro Takeuchi, Françoise Boyer, Jason Gotlib, Ellen K. Ritchie, Michael R. Savona, Yi Cui, Jill Lindsey Harrison, Betty Lamothe, Amanda McBride, Sanjay Mohan

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsRuxolitinibMyelofibrosisAnemiaPharmacokineticsHepcidinPhases of clinical researchRegimenToxicity

Abstract

fetched live from OpenAlex

Abstract Background: Hepcidin dysregulation contributes to anemia of chronic inflammation observed in several malignancies, and hepcidin levels are elevated in myelofibrosis (MF). It has been proposed that activin receptor-like kinase-2 (ALK2 [ie, ACVR1]) contributes to MF-associated anemia via hepcidin upregulation and that ALK2 inhibition may improve anemia in patients (pts) with MF. Here we present final results from a phase 1/2 study evaluating ALK2 inhibition as a treatment approach for management of MF-related anemia, including safety, efficacy, pharmacokinetics (PK), and pharmacodynamics (PD) of the potent and selective oral ALK2 inhibitor zilurgisertib. Methods:This open-label, phase 1/2, dose-escalation/expansion study (INCB00928-104/NCT04455841) evaluated zilurgisertib alone (treatment group A [TGA]), as an add-on to the Janus kinase (JAK)1/JAK2 inhibitor ruxolitinib (TGB), or with ruxolitinib in JAK inhibitor–naive pts (TGC). Eligible pts (≥18 years) had intermediate (Int)-1 (TGB, TGC) or Int-2/high-risk (all groups) MF and anemia, and they were transfusion-dependent (TD) or non–transfusion-dependent (NTD) with symptomatic anemia. In TGA, zilurgisertib monotherapy was evaluated at a 50-mg once-daily (qd) starting dose in escalation. In TGB, pts received a stable ruxolitinib regimen for ≥12 wk before initiating zilurgisertib at a 100-mg qd starting dose. In TGC, zilurgisertib and ruxolitinib were initiated concurrently at starting doses of 400 mg qd and 10 mg twice daily (bid), respectively. Ruxolitinib dose increases were permitted after the 28-day dose-limiting toxicity (DLT) period. Zilurgisertib dose escalation was performed independently in each group, with ≤2-fold dose increases evaluated until identification of maximum tolerated dose (MTD) or recommended dose(s) for expansion. Primary endpoints were safety and tolerability, including DLTs and MTD. Secondary endpoints included PK, PD, and anemia response (defined as transfusion independence for any rolling 12-wk period for TD pts, and hemoglobin [Hb] increase ≥1.5 g/dL above baseline sustained for any rolling 12-wk period for NTD pts). Results: 84 pts were enrolled in dose escalation to TGA (n=32), TGB (n=38), or TGC (n=14). Median (range) age was 73.5 (53‒84) years for TGA, 74.5 (54‒85) for TGB, and 70.0 (60–82) for TGC. Baseline median (range) Hb (g/dL) was 7.9 (6.5–9.7), 8.1 (5.1–9.9), and 8.0 (6.1–9.4) for TGA, TGB, and TGC, respectively. The maximum zilurgisertib dose evaluated in each treatment group was 600 mg daily (administered as 600 mg qd or 300 mg bid); MTD was not reached. No pts in TGA or TGC experienced a DLT; 3 pts in TGB had DLTs (grade 1 gastrointestinal hemorrhage and epistaxis, n=1; grade 3 alveolar hemorrhage, n=1; grade 3 diarrhea, n=1). Treatment-emergent adverse events (TEAEs) occurred without apparent dose dependence, and <50% of pts in each group experienced serious TEAEs (TGA, n=11 [34.4%]; TGB, n=17 [44.7%]; TGC, n=5 [35.7%]). Fatal TEAEs occurred in 2 pts in TGA (death, n=1; sepsis, n=1) and 1 pt in TGB (sepsis, n=1). Hepcidin suppression following zilurgisertib dosing was observed in all 3 treatment groups, indicating target engagement; longitudinal PD hepcidin suppression was also observed. Among NTD pts included in the Wk 24 and 48 anemia response analysis (TGA, n=16; TGB, n=22; TGC, n=5), response occurred in 2 pts in TGA, 1 in TGB, and none in TGC at Wk 24 and 3 pts in TGA, 4 in TGB, and 1 in TGC at Wk 48. Among anemia response–evaluable TD pts (TGA, n=9; TGB, n=4; TGC, n=4), anemia response at Wk 24 was not achieved by any pt; 2 pts achieved response by Wk 48 (1 in TGB; 1 in TGC). Median values for the largest increase (g/dL) from baseline in mean Hb values over any rolling 12-wk treatment period through Wk 24 were 0.3, 0.4, and –0.03 for TGA, TGB, and TGC, respectively. Dose expansion was not initiated in any treatment group following analysis of anemia response rates in dose escalation.Conclusions:Zilurgisertib monotherapy or in combination with ruxolitinib had a favorable tolerability profile, with few DLTs and no apparent correlation between dose and TEAE frequency. However, despite evidence of on-target hepcidin suppression, zilurgisertib provided minimal improvements for anemia. These findings highlight the multifactorial nature of anemia in MF and suggest that selective inhibition of ALK2/ACVR1 may not be sufficient to effectively ameliorate MF-related anemia.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.012
GPT teacher head0.287
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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