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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 on 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

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsMcGill University Health CentreRoyal Victoria Regional Health CentreRoyal Victoria HospitalDalhousie University
Fundersnot available
KeywordsIbrutinibRituximabMedicineWaldenstrom macroglobulinemiaMacroglobulinemiaOpen labelInternal medicineRefractory (planetary science)Lymphoplasmacytic LymphomaPhases of clinical researchOncologyClinical trialLymphomaLeukemiaMultiple myelomaChronic lymphocytic leukemia

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.404
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations16
Published2015
Admission routes2
Has abstractyes

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