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Enregistrement W4389235353 · doi:10.1182/blood-2023-178816

Clinical Effectiveness and Safety of Momelotinib Compared with Continued Ruxolitinib or Best Available Therapy in Patients with Myelofibrosis Who Required RBC Transfusions: Subgroup Analysis of the Phase 3 Simplify-2 Study

2023· article· en· W4389235353 sur OpenAlexaff
Claire Harrison, Alessandro M. Vannucchi, Christian Récher, Francesco Passamonti, Aaron T. Gerds, Juan Carlos Hernández‐Boluda, Abdulraheem Yacoub, Shireen Sirhan, Jun Kawashima, Bharat Patel, Bryan Strouse, Uwe Platzbecker

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésRuxolitinibMedicineMyelofibrosisAnemiaInternal medicineClinical trialGastroenterologyBone marrow

Résumé

récupéré en direct d'OpenAlex

Introduction: Splenomegaly, constitutional symptoms, and anemia are key clinical features of myelofibrosis (MF); approximately one-third of patients (pts) are anemic at diagnosis, and most develop anemia over time. While Janus kinase (JAK) inhibitors such as ruxolitinib (RUX) and fedratinib (FED) may address symptoms and splenomegaly, they do not manage and may exacerbate anemia. Treatments for anemia include erythropoiesis-stimulating agents (ESAs), often in combination with RUX or FED, and androgens such as danazol; however, these have shown limited efficacy. Red blood cell (RBC) transfusions are the mainstay of anemia management in MF, but transfusion dependency is associated with diminished quality of life and is a negative prognostic factor for survival. Treatments that address anemia as well as spleen volume and symptoms are needed. Momelotinib (MMB), a JAK1/JAK2/activin A receptor type 1 inhibitor, has demonstrated clinically meaningful and durable improvements in anemia, splenomegaly, and symptoms in pts with MF across 3 phase 3 trials. To evaluate outcomes in pts who switched to MMB vs continuing RUX or best available therapy (BAT) despite transfusion requirement, we present a descriptive subgroup analysis of pts enrolled in SIMPLIFY-2 (NCT02101268) who were considered transfusion dependent (TD; ≥4 units of RBC transfusions in the previous 8 wk or hemoglobin [Hb] level <8 g/dL) or transfusion requiring (TR; receiving transfusions but not meeting TD criteria) at baseline (BL). Methods: SIMPLIFY-2 was an international, multicenter, open-label, phase 3 clinical trial investigating the efficacy and safety of MMB vs BAT in pts with MF who had suboptimal responses or hematologic toxicities while receiving RUX. Pts (N=156) were randomized 2:1 to receive open-label MMB or BAT, which was RUX in 88.5% of pts. Treatment washout from prior RUX was not permitted before study enrollment. The primary endpoint was spleen volume reduction ≥35% (SVR35). Total Symptom Score (TSS) response rate (≥50% reduction; TSS50) and transfusion independence response (TI-R; no RBC transfusions for ≥12 wk immediately before the end of wk 24, with all Hb levels ≥8 g/dL) were key secondary endpoints. This post hoc, descriptive analysis focused on pts treated with either MMB or BAT, who were considered non-transfusion-independent (non-TI), defined as either TD or TR, at BL. Results: In SIMPLIFY-2, 72 of 104 pts (69%) in the MMB arm and 33 of 52 pts (63%) in the BAT arm were non-TI at BL, and BL characteristics were balanced between both patient groups. Mean duration of prior treatment with RUX was 64.6 and 59.5 wk in non-TI pts in the MMB and RUX arms, respectively. Average BL TSS for this subpopulation was 18.6. All pts randomized to the MMB arm received a starting dose of 200 mg daily. In the BAT arm, 29 of 33 pts (88%) were treated with RUX, with 59% receiving a BL dose of ≤20 mg daily. ESAs were administered to 5 pts in the BAT arm. At wk 24, SVR35 was observed in 7 of 72 pts (10%) treated with MMB and 1 of 33 pts (3%) treated with BAT. TSS50 was achieved in 21 of 72 pts (29%) treated with MMB, but there were no responses in the BAT arm. Additionally, TI-R was achieved in 25 of 72 pts (35%) treated with MMB compared with only 1 of 33 (3%) treated in the BAT arm on RUX. Many responders with MMB achieved 2 or all 3 endpoints (16 of 36 responders [44%]) (Figure); there were no dual or triple responses in the BAT arm. Of the 5 pts in the BAT arm who received ESAs, only 1 pt each (different pts per response) achieved SVR35, TSS50, or TI. Safety outcomes were consistent with those previously reported for the intent-to-treat (ITT) population. Conclusions: In RUX/BAT-treated pts with MF who required RBC transfusions, continued treatment with RUX/BAT in most pts resulted in poor treatment outcomes compared with MMB. Specifically, treatment with MMB demonstrated an ability to deliver higher SVR, TI, and TSS response rates. The lower SVR35 rate in both arms, similar to the overall ITT population, was likely a result of lack of washout from prior JAK inhibitor treatment. While pt numbers were limited, similar findings were observed compared with pts who received ESAs. Overall, these data support MMB as a potential alternative treatment option for pts with MF who require RBC transfusions. Figure. Responses at Week 24 for Non-TI Patients at Baseline

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,007
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,330
Écart entre enseignants0,292 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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