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Enregistrement W4239376504 · doi:10.1182/blood-2019-122506

Dynamic and Time-to-Event Analyses Demonstrate Marked Reduction in Transfusion Requirements for Janus Kinase Inhibitor-Naïve Myelofibrosis Patients Treated with Momelotinib Compared Head to Head with Ruxolitinib

2019· article· en· W4239376504 sur OpenAlexaff
Ruben A. Mesa, John Catalano, Francisco Cervantes, Timothy Devos, Jason Gotlib, Jean‐Jacques Kiladjian, Donal P. McLornan, Kazuya Shimoda, Elisabeth Coart, Koenraad D’Hollander, Rafe Donahue, Mark Kowalski

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensSierra Wireless (Canada)
Organismes subventionnairesnon disponible
Mots-clésRuxolitinibAnemiaMyelofibrosisMedicineHepcidinInternal medicineGastroenterologyBone marrow

Résumé

récupéré en direct d'OpenAlex

Momelotinib (MMB) is a potent, selective, orally-bioavailable, small-molecule inhibitor of JAK1, JAK2 and ACVR1 being developed for the treatment of intermediate and high risk myelofibrosis (MF). Systemic inflammation integral to the pathogenesis of MF leads to increased ACVR1 activity which in turn increases secretion of hepcidin, resulting in perturbed iron homeostasis and an iron-restricted anemia (Physiol Rev. 2013;93:1721-41, Am J Hematol. 2014;89:470-9). MMB's inhibition of ACVR1, unique amongst the JAK inhibitor (JAKi) class, leads to a reduction of hepcidin, restoring iron homeostasis and RBC production and alleviating anemia and transfusion dependency (TD). Chronic, progressive anemia is the key hallmark feature of MF; anemia and TD are strongly predictive of reduced survival (Am J Hematol. 2013;88:312-6). MMB is the only clinical stage JAKi to possess potent ACVR1 inhibitory activity, resulting in improvement of anemia in contrast to ruxolitinib (RUX) which results in worsening. The SIMPLIFY-1 (S1) trial, a double-blind, active-controlled Phase 3 study in which 432 patients received randomized treatment with MMB or RUX for 24 weeks was previously reported (JCO. 2017;35:3844-50). In addition to a significant reduction in splenomegaly and improvement in constitutional symptoms, the study demonstrated that patients in the MMB arm achieved nominal-statistical significance for all anemia endpoints tested, including a higher rate of transfusion independence (p<0.001) and lower rates of TD (p=0.019) at Week 24, compared to patients on RUX, consistent with MMB's pro-erythropoietic effect. Overall, a demonstrably decreased transfusion requirement was noted in patients who received MMB vs RUX. Since transfusion burden is of significant concern to clinicians and patients, to better understand the dynamics of RBC transfusions we further examined the S1 data through statistical models utilizing a variety of novel anemia benefit endpoints including time until transfusion and overall intensity of transfusions across time. The proportions of patients with 0 and 4 transfusions were calculated and time-to-event analyses examining time-to-first and time-to-fifth units transfused also conducted. Since transfusions typically comprise 2 units, the fifth unit transfused represents a de facto third transfusion event. The number of units transfused were also considered to be recurrent events and examined with and without patients' baseline characteristics as covariates. Finally, a mixture model, based on a zero-inflated negative binomial (ZINB) distribution fit to the transfusion data, was employed to compare between the treatment groups the proportions of subjects with zero transfusion burden and the mean transfusion rates. Kaplan-Meier estimates of the proportion of patients who did not require any units transfused during the 24 week randomized treatment period were 73% and 46% for MMB and RUX respectively (p<0.0001; Figure 1), while the proportion of patients requiring 4 or fewer units were 83% and 62% (p<0.0001). When examining units transfused as recurrent events, patients receiving MMB possessed a hazard ratio of approximately one-half that for patients on RUX (HR 0.522; p<0.0001) for models both with and without patients' baseline characteristics as covariates. The ZINB covariate model demonstrated that MMB increased the odds of having zero units transfused in the first 24 weeks by a factor of 9.3 (p<0.0001) vs RUX. Taken together, the novel dynamic and time-to-event analysis methods described are relevant and informative additions to standard measures of transfusion burden in patients with MF. The results of these analyses allow more detailed description of MMB's differentiated anemia benefit as compared to RUX in a double-blind study of JAKi-naïve patients. These results when combined with additional data from the SIMPLIFY studies demonstrate that MMB is able to address the three hallmark features of MF, namely anemia, constitutional symptoms and splenomegaly, differentiating it from other JAK inhibitors. The benefit of MMB in reducing transfusion burden will be further evaluated in MOMENTUM, a future Phase 3 study of MMB in MF patients. In addition to assessment of constitutional symptoms, anemia and splenomegaly, MOMENTUM will provide opportunity to further evaluate associations between anemia benefit and patient reported measures of clinical benefit. Disclosures Mesa: Promedior: Research Funding; Gilead Sciences: Research Funding; Galena Biopharma: Consultancy; AbbVie: Research Funding; Incyte: Other: travel, accommodations, expenses, Research Funding; Genotech: Research Funding; CTI: Research Funding; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses; Celgene Corporation: Research Funding; Sierra Oncology: Consultancy; PharmaEssentia: Research Funding; Genentech: Consultancy; NS Pharma: Research Funding; Pfizer: Research Funding; AOP Orphan Pharmaceuticals: Honoraria, Other: travel, accommodations, expenses; LaJolla: Consultancy; Samus: Research Funding; Shire: Honoraria; Baxalta: Consultancy. Catalano:Celgene: Other: Travel support (ASH 2018). Cervantes:Novartis: Honoraria, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Gotlib:Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Research Funding; Promedior: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Allakos: Honoraria, Membership on an entity's Board of Directors or advisory committees; Blueprint Medicines: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Deceiphera: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kiladjian:Novartis: Honoraria, Research Funding; Celgene: Consultancy; AOP Orphan: Honoraria, Research Funding. McLornan:Jazz Pharmaceuticals: Honoraria, Speakers Bureau; Novartis: Honoraria. Coart:IDDI: Consultancy, Employment. D'Hollander:IDDI: Consultancy, Employment. Donahue:Sierra Oncology Inc.: Employment. Kowalski:Sierra Oncology Inc.: Employment.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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 seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,022
Tête enseignante GPT0,303
Écart entre enseignants0,281 · 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

Citations7
Publié2019
Routes d'admission1
Résumé présentoui

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