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Enregistrement W2900220084 · doi:10.1182/blood-2018-99-111349

Hepcidin Suppression By Momelotinib Is Associated with Increased Iron Availability and Erythropoiesis in Transfusion-Dependent Myelofibrosis Patients

2018· article· en· W2900220084 sur OpenAlexaff
Stephen T. Oh, Moshe Talpaz, Aaron T. Gerds, Vikas Gupta, Srđan Verstovšek, Ruben A. Mesa, Carole B. Miller, Candido E. Rivera, Angela G. Fleischman, Swati Goel, Mark Heaney, Casey L. O’Connell, Murat O. Arcasoy, Yafeng Zhang, Jun Kawashima, Tomas Ganz, Carrie Baker Brachmann

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMyelofibrosisHepcidinMedicineAnemiaRuxolitinibErythropoiesisInternal medicineGastroenterologyBlood transfusionBone marrow

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Patients develop anemia as a result of myelofibrosis (MF) or its treatment, including Janus kinase (JAK) inhibitors. However, momelotinib (MMB), a JAK1/2 and Activin A receptor type I (ACVR1) inhibitor with demonstrated clinical activity in MF, improved anemia in prior clinical trials. JAK1/2 and ACVR1 respond to inflammation and iron stores to control iron availability through hepcidin, the key regulator of the entry of iron into circulation. Like other inflammatory diseases, MF is characterized by high hepcidin. MMB inhibited ACVR1 to modulate hepcidin and ameliorate anemia in a rodent model (Asshoff, Blood 2017). The impact of MMB was investigated on blood hepcidin, along with markers of iron storage and availability, erythropoiesis, and inflammation to explore mechanisms of the favorable effects of MMB on MF-associated anemia. Methods: In a phase 2 open-label study, MMB 200 mg once daily was given for 24 weeks to transfusion-dependent (TD; ≥4 units red blood cells [RBC] transfusion in the 8 weeks prior to first dose of MMB) patients with primary or post-ET/PV MF (age ≥18 yrs, required MF therapy, CrCl ≥ 60 mL/min, platelets ≥50 K, and absence of Gr ≥2 peripheral neuropathy, baseline palpable spleen was not required, patients with prior splenectomy were excluded). Patients were evaluated for MMB efficacy and safety. Total symptom score (TSS) was based on a modified Myeloproliferative Neoplasm Symptom Assessment Form. Transfusion-independent response/non-response (TI-R/NR) was defined as RBC transfusion-independence ≥12 weeks at any time on study. Serial blood samples were analyzed for a panel of biomarkers and liver iron content (LIC) was measured by MRI. Blood hepcidin was evaluated at every study visit in the morning (8-10am) pre-dose and 6 hours post-dose using a mass spectrometry assay and, prior to first dose, the normal daily increase of blood hepcidin was observed in half the population. Results: 41 patients (mean age 70, 63% male, 88% white) received MMB. By week 24, 14 (34.1%, 90% CI: 22.0-48.1%) patients had a TI-R and 39.0% had no RBC transfusion for ≥8 weeks at any time (90% CI: 26.2-53.1%). Six patients (15.8%, 90% CI: 7.1-28.8%) had a ≥50% reduction from baseline to week 24 in TSS and 5 patients (12.2%, 90% CI: 4.9-23.9%) had a ≥35% reduction in spleen volume; in those patients with week 24 data, the TSS and splenic response rates were 28.6% and 19.2% respectively. TSS and spleen volume assessments were not available for 17 (44.5%) and 15 (36.6%) patients, respectively, and these patients were considered non-responders. Adverse events were consistent with previous studies of MMB in MF, with cough, diarrhea, nausea, and fatigue as the most common. AEs ≥Gr 3 were experienced by 21 patients, most commonly anemia and neutropenia. At every study visit, median blood hepcidin decreased 6 hours after dosing with MMB (Fig. 1). Daily inhibition of hepcidin did not lead to an increase in serum iron for the entire population. However, serum iron, transferrin, hemoglobin, reticulocytes, and hematocrit increased at week 2 in patients with TI-R. Following this peak, serum iron decreased while hemoglobin, hematocrit and platelet count increased through week 24. At baseline, TI-R was associated with lower hepcidin, LIC, serum iron, reduced inflammation (C-reactive protein and ferritin), and higher hematocrit, erythrocytes, reticulocytes, platelets, and hemoglobin than TI-NR (Fig. 2). In multivariable analysis, TI-R was strongly associated with baseline hemoglobin ≥8g/dL (p=0.036) and lower morning hepcidin (p=0.013), weakly associated with younger age (p=0.070) and lower DIPSS score (p=0.075), but not with gender, type of MF (primary vs post-ET/PV), spleen volume, TSS, or JAK2V617F mutation. Conclusion: Safety findings and rate of TI-R were similar to TD MF patients in other MMB trials. Consistent with preclinical data, daily MMB treatment led to a transient decrease in blood hepcidin. In patients with TI-R, hepcidin suppression was associated with increased iron availability and markers of erythropoiesis. At baseline, TI-R associated with reduced inflammation, lower hepcidin, and increased markers of erythropoiesis and bone marrow function. Overall, the study suggests that transient modulation of hepcidin by MMB is sufficient to boost erythropoiesis in those transfusion-independent MF patients with lower baseline inflammation and greater erythropoietic potential. Disclosures Oh: Takeda: Research Funding; Janssen: Research Funding; CTI Biopharma: Research Funding; Gilead: Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Gerds:Celgene: Consultancy; Apexx Oncology: Consultancy; CTI Biopharma: Consultancy; Incyte: Consultancy. Gupta:Novartis: Consultancy, Honoraria, Research Funding; Incyte: Research Funding. Verstovsek:Italfarmaco: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees. Mesa:Novartis: Consultancy; Celgene: Research Funding; NS Pharma: Research Funding; Genentech: Research Funding; Incyte Corporation: Research Funding; Promedior: Research Funding; Pfizer: Research Funding; CTI Biopharma: Research Funding; Gilead: Research Funding; UT Health San Antonio - Mays Cancer Center: Employment. Miller:Gilead Sciences, Inc.: Consultancy, Research Funding; Incyte: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau. Heaney:Decipheral: Research Funding; Novartis: Research Funding; Blueprint: Research Funding; Incyte: Research Funding; Roche: Consultancy, Research Funding. O'Connell:Incyte: Research Funding. Arcasoy:Gilead Sciences, Inc.: Research Funding; Incyte: Research Funding; CTI BioPharma: Research Funding; Samus Therapeutics: Research Funding. Zhang:Gilead Sciences, Inc.: Employment. Kawashima:Gilead Sciences, Inc.: Employment, Equity Ownership. Ganz:Intrinsic LifeScience: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Silarus Pharma: Consultancy, Equity Ownership; Keryx Pharma: Consultancy, Research Funding; Akebia: Consultancy, Research Funding; Vifor: Consultancy; Gilead: Consultancy; Ablynx: Consultancy; La Jolla Pharma: Consultancy, Patents & Royalties: Patent licensed to La Jolla Pharma by UCLA. Baker Brachmann:Gilead Sciences, Inc.: Employment, Equity Ownership.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,007
Tête enseignante GPT0,228
Écart entre enseignants0,220 · 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'étudeObservationnel
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
Publié2018
Routes d'admission1
Résumé présentoui

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