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Results from VERIFY, a phase 3, double-blind, placebo (PBO)-controlled study of rusfertide for treatment of polycythemia vera (PV).

2025· article· en· W4411027625 on OpenAlexaff
Andrew Kuykendall, Naveen Pemmaraju, Kristen Pettit, Joseph J. Shatzel, Alessandro Lucchesi, Valentín García‐Gutiérrez, Jiří Mayer, Abdulraheem Yacoub, Harinder Gill, Antonín Hluší, Daniel Sasca, Joseph M. Scandura, Marina Kremyanskaya, Phil Dinh, Sarita Khanna, Suneel K. Gupta, Arturo Molina, Aniket Bankar

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
FundersProtagonist Therapeutics
KeywordsMedicinePolycythemia veraPlaceboDouble blindInternal medicinePharmacologyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

LBA3 Background: PV is characterized by red blood cell overproduction. Rusfertide is a subcutaneous (SC), self-injected, first-in-class peptide hepcidin mimetic that decreases erythrocytosis. VERIFY (NCT05210790) is a global, ongoing phase 3 study designed to assess rusfertide vs PBO in phlebotomy (PHL)-dependent patients (pts) with PV receiving standard of care (SOC) therapy. Methods: In VERIFY Part 1a (Weeks [Wks] 0-32), pts requiring frequent PHL with or without stable cytoreductive therapy (CRT) to control hematocrit (Hct) were randomized (1:1) to receive once-weekly rusfertide or PBO. Pts were stratified by concurrent PV therapy. All pts completing Part 1a were eligible for open-label rusfertide in Part 1b (Wks 32-52). Pts who completed Part 1b were eligible to continue receiving rusfertide. The primary efficacy endpoint was the proportion of pts achieving a clinical response (ie, absence of PHL eligibility and no PHLs from Wks 20-32, and Part 1a completion). Key secondary endpoints (Wks 0-32) included mean number of PHLs, proportion of pts with Hct <45%, and mean change from baseline at end of Part 1a (Wk 32) in the (1) PROMIS Fatigue Short Form 8a (SF-8a) total T-score and (2) MFSAF v4.0 Total Symptom Score (TSS). Results: A total of 293 pts (male, 73.0%; median age, 57 [27-86] years) were randomized to receive rusfertide (n=147) or PBO (n=146). In the rusfertide and PBO groups, 56.5% (n=83) and 55.5% (n=81) of pts, respectively, received concurrent CRT. During Wks 20-32, significantly more pts in the rusfertide group (76.9%) achieved a clinical response vs PBO (32.9%) (p<0.0001). The mean (SE) number of PHLs (Wks 0-32) was 0.5 (0.2) with rusfertide vs 1.8 (0.2) with PBO (p<0.0001). More pts treated with rusfertide maintained Hct <45% from Wks 0-32 vs PBO (rusfertide, 62.6%; PBO, 14.4%; p<0.0001). For patient-reported outcomes (PROs), pts treated with rusfertide demonstrated a statistically significant improvement in the PROMIS Fatigue SF-8a total T-score and MFSAF TSS (p<0.03). During Part 1a, the most common treatment-emergent adverse events (AEs) in the rusfertide and PBO groups, respectively, were injection site reactions (55.9% and 32.9%), anemia (15.9% and 4.1%), and fatigue (15.2% and 15.8%). Serious AEs occurred in 3.4% (rusfertide) and 4.8% (PBO) of pts; none were considered related to rusfertide. During Part 1a, new malignancies were reported in 1 (rusfertide) and 7 (PBO) pts. Conclusions: In pts with PV receiving SOC, rusfertide resulted in a statistically significant reduction in the mean number of PHLs and improved Hct control. Rusfertide is the first investigational agent to target the hepcidin pathway to control Hct and the first agent to prospectively demonstrate a statistically significant improvement in the PROMIS Fatigue SF-8a and MFSAF PROs in pts with PV. Rusfertide had a safety and tolerability profile consistent with rusfertide in prior studies. Clinical trial information: NCT05210790 .

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
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 integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.215
GPT teacher head0.533
Teacher spread0.318 · 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 designRandomized 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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Citations2
Published2025
Admission routes1
Has abstractyes

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