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Enregistrement W2489240616 · doi:10.1182/blood.v126.23.2745.2745

Ibrutinib Therapy in Rituximab-Refractory Patients with Waldenström's Macroglobulinemia: Initial Results from an International, Multicenter, Open-Label Phase 3 Substudy (iNNOVATETM)

2015· article· en· W2489240616 sur OpenAlexaffabout
Meletios Α. Dimopoulos, Judith Trotman, Alessandra Tedeschi, Jeffrey Matous, David MacDonald, Constantine S. Tam, O. Tournilhac, Shuo Ma, Albert Oriol, Leonard T. Heffner, Chaim Shustik, Ramón García‐Sánz, Robert F. Cornell, Carlos Fernández de Larrea, Jorge J. Castillo, Miquel Granell, Marie‐Christine Kyrtsonis, Véronique Leblond, Argiris Symeonidis, Priyanka Singh, Jianling Li, Thorsten Graef, Elizabeth Bilotti, Steven P. Treon, Christian Buske

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensMcGill University Health CentreRoyal Victoria Regional Health CentreRoyal Victoria HospitalDalhousie University
Organismes subventionnairesnon disponible
Mots-clésIbrutinibRituximabMedicineWaldenstrom macroglobulinemiaMacroglobulinemiaOpen labelInternal medicineRefractory (planetary science)Lymphoplasmacytic LymphomaPhases of clinical researchOncologyClinical trialLymphomaLeukemiaMultiple myelomaChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Current treatments for Waldenström's macroglobulinemia (WM) are not curative, and a standard of care does not exist. MYD88 L265P, a mutation identified in patients (pts) with WM, signals through interleukin-1 receptor-associated kinase 1 and Bruton's tyrosine kinase (BTK), leading to the constitutive activation of the NF-κB pathway (Yang, 2013). Ibrutinib (ibr), an oral inhibitor of BTK, attenuates the interaction between MYD88 and BTK and blocks BTK-dependent downstream signaling, inducing apoptosis of WM cells (Treon, 2012). In a phase 2 trial of ibr in previously treated WM, durable responses were seen (overall response rate [ORR] of 90.5% and an estimated 24-month PFS of 69.1%; Treon, 2015) leading to FDA and EU approval of ibr in pts with WM. Single-agent ibr indicated favorable responses in pts with WM failing prior monoclonal antibody therapy (Treon, 2015). Here, we report on the efficacy and safety of single-agent ibr in pts with WM refractory to the last rituximab-containing therapy. Methods: Pts with centrally confirmed diagnosis of WM and symptomatic disease requiring treatment per 2nd International Workshop on WM criteria were enrolled in this open-label, international, multicenter, phase 3 substudy (PCYC-1127 Arm C). Other key inclusion criteria included disease refractory to the last rituximab-containing therapy defined as either relapse after <12 months or failure to achieve at least a minor response. Pts received oral ibr 420 mg daily continuously until progressive disease (PD) or unacceptable toxicity. Main objectives include progression-free survival, ORR, improvement of hemoglobin, and overall survival. Results: Among the 31 pts treated, the median age was 67 years (range, 47-90); 19% had an ECOG performance status of 2, and 42% had a high International Prognostic Score System for WM (IPSSWM). The median number of prior therapies was 4 (range, 1-8; 68% with ≥3 prior therapies). In addition to rituximab, the most common prior treatments included corticosteroids and alkylating agents (Table). The initial ORR at a median follow-up of 7.7 months was 84%, with a major response rate (≥PR) of 65%. Five pts required plasmapheresis, with no additional need beyond Cycle 1 in 4 pts. Baseline median hemoglobin of 10.3 g/dL increased to 11.4 g/dL after one cycle and baseline median IgM of 3830 mg/dL declined by >50% by end of Cycle 1 (Figure), with continued improvement over time. Any-grade adverse events (AEs) occurred in 29 pts (94%), and grade ≥3 AEs in 16 pts (52%). Most common any-grade AEs (>15%) included diarrhea (39%); hypertension (23%); neutropenia and upper respiratory tract infections (URTIs; 19% each); pyrexia; thrombocytopenia; and increased tendency to bruise (16% each). Common grade ≥3 AEs included neutropenia (13%); anemia, diarrhea, hypertension, and thrombocytopenia (6% each). Overall, 16 pts (52%) developed infections (10% grade ≥3). Serious AEs occurred in 6 pts (19%). All patients remain alive at data cut, with no events of IgM flare, atrial fibrillation or major bleeding. Dose reductions occurred in 4 pts (13%), with no dose reductions for hematologic toxicity. Two pts discontinued ibr-1 pt due to early PD (MYD88 wild-type), and 1 pt discontinued after 8 days of treatment due to an AE of gastrointestinal AL amyloidosis. Overall, 29 pts (94%) continue on ibr therapy. Additional data will be provided. Conclusions: Single-agent ibr is highly active in this heavily pretreated rituximab-refractory WM population, with a high ORR. No new or unexpected AEs were observed, with a manageable safety profile consistent with previous studies of single-agent ibr. Table 1. Baseline characteristics N=31 Median age, years (range) Age ≥ 65 years, n (%) 67 (47-90) 17 (55) ECOG, n (%) 0-1 2 25 (81) 6 (19) IPSSWM, n (%) Low Intermediate High 7 (23) 11 (35) 13 (42) Median serum IgM, mg/dL (range) 3830 (740-10700) Median b2-microglobulin, mg/L (range) 3.6 (1.7-24) Median hemoglobin levels, g/dL (range) 10.3 (6.4-14.6) Median platelet count (109/L) (range) 218 (51-896) Median absolute neutrophil count (109/L) (range) 2.9 (0.7-15.4) Median number of prior therapies (range) 4 (1-8) Types of prior therapies, n (%) Rituximab Corticosteroids Alkylating agentVinca alkaloids Proteasome inhibitor Purine analog Anthracyclines Immunomodulating agent Nucleoside analog Other 31 (100) 25 (81) 25 (81) 14 (45) 14 (45) 13 (42) 8 (26) 2 (6) 2 (6) 4 (13) Prior autologous stem cell transplantation, n (%) 2 (6) Figure 1. Figure 1. Disclosures Dimopoulos: Genesis Pharma: Research Funding; Novartis: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Onyx: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Trotman:Janssen: Research Funding. Macdonald:Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Research Funding; Lundbeck Canada: Consultancy, Honoraria, Other: Travel Expenses; Roche: Consultancy, Honoraria, Other: Travel Expenses, Research Funding; Janssen: Consultancy, Research Funding; Pharmacyclics LLC, an AbbVie Company: Research Funding. Tam:Janssen: Consultancy, Honoraria, Research Funding. Tournilhac:Roche: Consultancy, Honoraria, Other: Travel Expenses, Research Funding; Mundipharma: Consultancy, Honoraria, Other: Travel Expenses, Research Funding; Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding; Janssen: Honoraria; GSK: Other: Travel Expenses, Research Funding; Amgen: Other: Travel Expenses, Research Funding. Ma:Abbvie: Research Funding; Xeme: Research Funding; Novartis: Research Funding; Idera: Consultancy, Honoraria; Genentech: Consultancy, Honoraria, Speakers Bureau; Giliead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Pharmacyclics LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Research Funding. Heffner:Amgen: Consultancy. Shustik:Amgen: Honoraria; Roche: Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy; Novartis: Consultancy. García-Sanz:Janssen: Honoraria, Other: Travel, Accommodations, Expenses; Takeda: Honoraria, Other: Travel, Accommodations, Expenses; Novartis: Research Funding. Fernández de Larrea:Celgene: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Janssen: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses. Castillo:Otsuka: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Research Funding; Biogen IDEC: Consultancy; Millennium: Research Funding; Pharmacyclics LLC, an AbbVie Company: Research Funding. Kyrtsonis:Amgen: Research Funding; Lilly: Research Funding; Genesis: Honoraria; Millenium: Research Funding. Leblond:Janssen: Consultancy, Honoraria, Speakers Bureau; Mundipharma: Honoraria; Roche: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Speakers Bureau; Gilead: Consultancy, Honoraria, Speakers Bureau; GSK: Consultancy, Honoraria, Speakers Bureau. Symeonidis:Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Celgene: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Janssen: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Roche: Consultancy, Other: Travel, Accommodations, Expenses; Amgen: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Pfizer: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; MSD: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Gilead: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Takeda: Research Funding; Actellion: Research Funding; Proton-Pharma: Research Funding; Astellas: Other: Travel, Accommodations, Expenses, Research Funding; Teva: Other: Travel, Accommodations, Expenses, Research Funding; ApoPharma: Research Funding; Genzyme: Other: Travel, Accommodations, Expenses, Research Funding; Alexion: Other: Travel, Accommodations, Expenses, Research Funding; GenesisPharma: Consultancy; Glaxo: Consultancy. Singh:Pharmacyclics LLC, an AbbVie Company: Employment. Li:Pharmacyclics LLC, an AbbVie Company: Employment. Graef:AbbVie: Equity Ownership; Pharmacyclics LLC, an AbbVie Company: Employment, Membership on an entity's Board of Directors or advisory committees. Bilotti:Pharmacyclics LLC, an AbbVie Company: Employment. Treon:Pharmacyclics LLC, an AbbVie Company: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Janssen: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Onyx: Consultancy, Research Funding. Buske:Roche: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding; Celgene: Honoraria, Other: Travel, Accommodations, Expenses; Janssen: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding; Gilead: 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)0,004
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 enseignants0,004
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,092
Tête enseignante GPT0,404
Écart entre enseignants0,311 · 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

Citations16
Publié2015
Routes d'admission2
Résumé présentoui

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