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Primary results from the double-blind, placebo-controlled, phase III SHINE study of ibrutinib in combination with bendamustine-rituximab (BR) and R maintenance as a first-line treatment for older patients with mantle cell lymphoma (MCL).

2022· article· en· W4286437560 on OpenAlexaff
Michael Wang, Wojciech Jurczak, Mats Jerkeman, Judith Trotman, Pier Luigi Zinzani, Jan Walewski, Jun Zhu, Stephen E. Spurgeon, André Goy, Paul A. Hamlin, David Belada, Muhıt Özcan, John M. Storring, David Lewis, José‐Ángel Hernández‐Rivas, Todd Henninger, Sanjay Deshpande, Rui Qin, Steven Le Gouill, Martin Dreyling

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineClinical endpointInternal medicineNeutropeniaBendamustinePhases of clinical researchPlaceboIbrutinibChemoimmunotherapyRituximabSurgeryPopulationHazard ratioGastroenterologyChemotherapyRandomized controlled trialConfidence intervalLeukemiaLymphomaChronic lymphocytic leukemiaPathology

Abstract

fetched live from OpenAlex

LBA7502 Background: Elderly patients (pts) with MCL are unsuitable for intensive chemotherapy or transplantation due to excessive toxicities. Single-agent ibrutinib (Ibr), a first-in-class, oral Bruton’s tyrosine kinase inhibitor (BTKi), has transformed the care of pts with relapsed or refractory MCL with durable activity. We conducted a phase III trial (SHINE; NCT01776840) to evaluate combining Ibr with a standard chemoimmunotherapy (BR) and R maintenance in older pts with untreated MCL. Methods: Pts aged ≥ 65 years, enrolled between May 2013 and November 2014 from 183 sites across all geographical regions, were stratified by simplified MIPI score (low vs intermediate vs high risk) and were randomized 1:1 to Ibr (560 mg orally daily) or placebo (Pbo), plus 6 cycles of B (90 mg/m 2 ) and R (375 mg/m 2 ). Pts who achieved an objective response received R maintenance, administered every 8 weeks for up to 12 additional doses in both arms. Ibr and Pbo were administered until disease progression or unacceptable toxicity. The primary endpoint was progression-free survival (PFS) assessed by the investigators. Results: A total of 523 pts were randomized to Ibr + BR (n = 261) or Pbo + BR (n = 262). Median age was 71 years (range, 65–87), 65.6% of pts had low/intermediate simplified MIPI, and 8.6% had blastoid/pleiomorphic histology. At the primary analysis, median follow up was 84.7 months. The primary endpoint was met as PFS was significantly improved in the Ibr arm vs the Pbo arm (hazard ratio, 0.75; one-sided P = 0.011). Median PFS was 80.6 months with Ibr in combination with BR and R maintenance, a 50% improvement over Pbo in combination with BR and R maintenance (median PFS of 52.9 months). The complete response rate was 65.5% in the Ibr arm and 57.6% in the Pbo arm ( P = 0.0567). There was no difference in overall survival between treatment arms ( P = 0.648). Time to next treatment was longer in the Ibr arm compared with the Pbo arm ( P < 0.001). Fifty-two (19.9%) and 106 (40.5%) pts received subsequent anti-lymphoma therapy in the Ibr and Pbo arms, respectively; 41/106 (38.7%) received a second-line BTKi in the Pbo arm. Rates of grade 3 or 4 treatment-emergent adverse events were 81.5% and 77.3% in the Ibr and Pbo arms, respectively. Of adverse events of clinical interest for BTKis, atrial fibrillation was reported in 13.9% and 6.5% of pts in the Ibr and Pbo arms, respectively. Rates of major hemorrhage, hypertension, arthralgia, and secondary primary malignancies were similar in both arms. Quality of life was also similar in both arms. Conclusions: This phase III study in untreated MCL demonstrated that Ibr combined with BR and R maintenance significantly improved PFS compared with standard chemoimmunotherapy, with a median PFS of 6.7 years. The safety profile was consistent with the known profiles of the individual drugs. Clinical trial information: NCT01776840.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.073
GPT teacher head0.409
Teacher spread0.336 · 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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Citations10
Published2022
Admission routes1
Has abstractyes

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