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Record W4380078645 · doi:10.1002/hon.3164_355

Rituximab combined with chemotherapy and acalabrutinib prior to autologous stem cell transplantation in mantle cell lymphoma: The Rectangle Trial

2023· article· en· W4380078645 on OpenAlexaffabout
Diego Villa, Jean-François Larouche, Matthew C. Cheung, Mary‐Margaret Keating, Katherine Zukotynski, R. Petter Tonseth, Samantha Mayo, Rob C. Laister, David W. Scott, John Kuruvilla

Bibliographic record

VenueHematological Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreQueen Elizabeth II Health Sciences CentreHealth Sciences CentreUniversity Health NetworkUniversity of TorontoDalhousie UniversitySunnybrook Health Science CentreHôpital de l'Enfant-JésusBC Cancer AgencyCentre hospitalier universitaire de QuébecMcMaster UniversitySpinal Cord Injury BC
FundersAstraZeneca
KeywordsMantle cell lymphomaIbrutinibMedicineRituximabInternal medicineAutologous stem-cell transplantationOncologyTransplantationDiffuse large B-cell lymphomaSurgeryChemotherapyLymphomaLeukemiaChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Introduction: In the European MCL Network Triangle study the addition of ibrutinib to frontline rituximab-containing chemotherapy and subsequent maintenance therapy improved failure-free survival in young, fit patients with mantle cell lymphoma (MCL). Ibrutinib was administered with R-CHOP, but not with R-DHAP, during the induction phase. Continuous, uninterrupted Bruton Tyrosine Kinase (BTK) inhibition could maximize the benefit of front-line therapy given that responses develop over time. Acalabrutinib is a second generation BTK inhibitor with less off-target inhibition than ibrutinib. We hypothesize that combining continuous acalabrutinib with R-CHOP may result in a tolerable, outpatient, highly active regimen producing favorable outcomes. Methods: NCT04566887 is a phase II, non-randomized, single-arm study conducted across 5 academic centres in Canada. Patients ≥18 years of age with previously untreated MCL, ECOG performance status 0–2, adequate organ function and considered fit for autologous stem cell transplantation (ASCT) were included. Patients received 6 cycles of R-CHOP at standard doses plus acalabrutinib 100 mg twice per day orally. Responding patients proceeded with ASCT and maintenance rituximab and acalabrutinib for a total of 2 years. The primary endpoint was the complete response (CR) rate after 6 cycles of induction with centrally reviewed PET/CT using the Lugano Criteria. The total sample size is n = 54. We present the results of a preplanned interim analysis when the first 24 subjects completed response assessments after 6 cycles of induction. The study would be terminated if <15/24 patients achieved a CR. Results: The median age was 60 years (range 38–69), 16 (67%) were male, 23 (96%) had performance status 0–1, 19 (79%) Ann Arbor stage IV, 19 (79%) bone marrow involvement, 4 (17%) high risk MIPI, 3 (13%) blastoid/pleomorphic morphology, 7 (29%) Ki67 ≥30%. All patients completed 6 cycles of induction and proceeded to ASCT. The overall response rate was 100%, and 19 (79%) patients achieved a CR. Baseline high-risk MIPI and Ki67 70%; biopsy at relapse TP53 positive by immunohistochemistry (IHC), Baseline intermediate risk MIPI and Ki67 60%; biopsy at relapse with pleomorphic morphology, TP53 positive by IHC, Ki67 100%, Baseline high risk MIPI, Ki67 ≥30%, and blastoid morphology. Table 1 lists adverse events (AE) during the 6 cycles of induction. There were no grade 5 AE. Most infections were respiratory including 1 case with mild COVID-19. Conclusions: Acalabrutinib + R-CHOP is associated with a 79% CR rate with low rates of grade 3–4 AE expected for this combination. The study is ongoing, with expected full accrual by April 2023. The research was funded by: This investigator-initiated trial was funded by AstraZeneca. Keywords: combination therapies, indolent non-Hodgkin lymphoma, molecular targeted therapies Conflicts of interests pertinent to the abstract. D. Villa Consultant or advisory role: AstraZeneca, Janssen, BeiGene, Kite/Gilead, BMS/Celgene, Merck, Abbvie, Roche Honoraria: AstraZeneca, Janssen, BeiGene, Kite/Gilead, BMS/Celgene, Merck, Abbvie, Roche Research funding: AstraZeneca, Roche (research funding to the institution) D. Scott Consultant or advisory role: Abbvie, AstraZeneca, Incyte Research funding: Janssen, Roche Other remuneration: Patents using gene expression to subtype aggressive lymphoma, including one licensed to Veracyte J. Kuruvilla Research funding: AstraZeneca (to the institution)

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.319
Teacher spread0.290 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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Citations1
Published2023
Admission routes2
Has abstractyes

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