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Enregistrement W2560056817 · doi:10.1182/blood.v128.22.3107.3107

Safety and Efficacy of Ruxolitinib for the Final Enrollment of JUMP: An Open-Label, Multicenter, Single-Arm, Expanded-Access Study in Patients with Myelofibrosis (N = 2233)

2016· article· en· W2560056817 sur OpenAlexaff
Lynda Foltz, Giuseppe A. Palumbo, Bruno Martino, Francesca Palandri, Haifa Kathrin Al‐Ali, Anna Marina Liberati, Philipp D. le Coutre, Alessandro M. Vannucchi, Carmen García‐Hernández, Renato Tavares Daher, Martin Grießhammer, Vikas Gupta, Pia Raanani, Pilar Giraldo, Catherine Bouard, Julian Perez Ronco, Sadhvi Khanna, Andrey Zaritskey

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer CentreSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésRuxolitinibMedicineMyelofibrosisInternal medicineTolerabilityClinical endpointDiscontinuationPhases of clinical researchClinical trialAdverse effectExpanded accessPlaceboSurgeryBone marrowPathology

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: Ruxolitinib is a potent JAK1/JAK2 inhibitor that has proved superior to placebo and best available therapy in the phase 3 COMFORT studies for patients (pts) with intermediate (Int)-2- or high-risk myelofibrosis (MF). Ruxolitinib-treated pts demonstrated improvements in splenomegaly and MF-related symptoms as well as improved overall survival. JUMP is an expanded-access phase 3b trial designed to assess the safety and efficacy of ruxolitinib in pts with MF and includes those with no access to ruxolitinib outside of a clinical trial. Here, we report updated safety and efficacy findings for the full enrollment of JUMP, which includes 2233 pts in 26 countries. METHODS: Eligible pts had Int-2- or high-risk MF, with or without splenomegaly, or Int-1-risk MF with a palpable spleen (≥ 5 cm from the costal margin). Pts received starting doses of ruxolitinib based on platelet counts at baseline (5 mg twice daily [bid; ≥ 50 to < 100 × 109/L], 15 mg bid [100 to 200 × 109/L], 20 mg bid [> 200 × 109/L]). The primary endpoint was assessment of safety and tolerability of ruxolitinib. Additional analyses included changes in palpable spleen length and symptom scores. The final analysis will be performed after all pts have completed 24 months of treatment or discontinued the study. RESULTS: This analysis includes 2233 pts (primary MF, 59.4% [n = 1326]) who started treatment ≥ 1 year before the data cutoff date (01 Jan 2016). At baseline, median age was 67 y (range, 18-89 y); 54.5% were male; median palpable spleen length was 12 cm below the costal margin; median time since diagnosis was 25.8 months. Median hemoglobin (Hb) was 106 g/L, and 38.3% of pts had Hb levels ˂ 100 g/L; median platelet count was 254 × 109/L; mean FACT-Lym TS and FACIT-Fatigue score were 113.9 and 33.4, respectively. At data cutoff, 15.8% of pts (353/2233) remained on treatment and 45.1% (1006/2233) completed treatment per protocol (ie, transitioned to commercial ruxolitinib). The primary reasons for treatment discontinuation were adverse events (AEs; 17.7%), disease progression (8.6%), and death (4.1%). Median exposure was 12.4 months; the median average daily dose of ruxolitinib was 23.1 mg for pts starting at 15 mg bid (n = 647 [29.0%]) and 36.5 mg for pts starting at 20 mg bid (n = 1384 [61.9%]). Overall 66.7% of pts had dose modifications and 26.3% had a dose interruption. Grade (G) 3/4 hematologic AEs included anemia (34.1%), thrombocytopenia (16.3%), and neutropenia (4.5%), which led to discontinuation in 1.5%, 2.7%, and 0.1% of pts, respectively. Nonhematologic AEs were primarily G1/2, and the most common (≥ 10%) were pyrexia (15.6%; G3/4, 2.3%), asthenia (14.9%; G3/4, 2.2%), and diarrhea (12.0%; G3/4, 1.1%). Rates of other G3/4 AEs were low (≤ 2%), except pneumonia (4.3%), which led to discontinuation in 10 pts (0.5%). Rates of infections were generally low; all-grade infections in ≥ 5% of pts included pneumonia (6.8%), urinary tract infection (5.6%), and nasopharyngitis (5.0%). Herpes zoster was reported in 4.6% of pts (G3/4, 0.5%), tuberculosis in 0.2% (G3/4, 0.04%) and hepatitis B in 1 pt (G3/4, 0.04%). At wk 24 and 48, 56.6% (874/1545) and 61.6% (658/1069) of pts with baseline splenomegaly achieved a ≥ 50% reduction from baseline in palpable spleen length; 23.3% (360/1545) and 18.9% (202/1069) had 25% to 50% reductions, respectively. Most pts (70.2% [1441/2054]) experienced a ≥ 50% reduction at any time; 23.7% had complete resolution of splenomegaly (Figure). At wk 24 and 48, 97.1% (67/69) and 92.3% (48/52) of evaluable pts without splenomegaly at baseline continued to have a nonpalpable spleen. A large proportion of pts achieved a response (ie, a clinically significant improvement) on the FACT-Lym TS and FACIT-Fatigue at wk 24 (42.4% [596/1406]; 46.6% [675/1447]) and wk 48 (42.9% [404/941]; 45.4% [434/957]). Overall, 221 patients received ESAs to manage anemia (G1, 7.2%; G2, 49.8%; G3, 38.9%; G4, 4.1%), and the majority had improved (32.6%) or resolved (31.7%) anemia (worsened, 16.3%; no change, 19.5%). CONCLUSIONS: This study includes the largest cohort of pts with MF treated with ruxolitinib to date. Consistent with findings from other studies, anemia and thrombocytopenia were the most common AEs but rarely led to discontinuation. As observed previously, most pts experienced reductions in splenomegaly and symptoms with ruxolitinib treatment. Overall, the safety and efficacy profile of ruxolitinib in JUMP is consistent with that in the COMFORT studies. Disclosures Foltz: Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Palumbo:Celgene: Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shire: Honoraria; Roche: Honoraria. Al-Ali:Novartis: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Le Coutre:Pfizer: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Other: travel, accomodations, expenses; Ariad: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Other: travel, accomocations, expenses, Research Funding. Vannucchi:Novartis: Consultancy, Research Funding, Speakers Bureau; Baxalta: Speakers Bureau; Shire: Speakers Bureau. Gupta:Novartis: Consultancy, Honoraria, Research Funding; Incyte: Consultancy, Research Funding. Bouard:Novartis Pharma AG: Employment. Perez Ronco:Novartis Pharma AG: Employment. Khanna:Novartis Healthcare Pvt. Ltd: Employment. Zaritskey:Janssen: Consultancy; Novartis: Consultancy.

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 seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,062
Tête enseignante GPT0,333
Écart entre enseignants0,271 · 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

Citations4
Publié2016
Routes d'admission1
Résumé présentoui

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