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Record W2903424253 · doi:10.1182/blood-2018-99-114842

Long-Term Efficacy and Safety from the Copanlisib CHRONOS-1 Study in Patients with Relapsed or Refractory Indolent B-Cell Lymphoma

2018· article· en· W2903424253 on OpenAlexaff
Martin Dreyling, Armando Santoro, Luigina Mollica, Sirpa Leppä, George Follows, Georg Lenz, Won Seog Kim, Arnon Nagler, Panayiotis Panayiotidis, Judit Demeter, Muhıt Özcan, Marina Kosinova, Krimo Bouabdallah, Franck Morschhauser, Don A. Stevens, David R. Trevarthen, Liana Rodrigues, Florian Hiemeyer, MingLu Wang, J. Garcia‐Vargas, Barrett H. Childs, Pier Luigi Zinzani

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineInternal medicineAdverse effectBendamustineCommon Terminology Criteria for Adverse EventsRegimenChemotherapy regimenGastroenterologyClinical endpointFollicular lymphomaRituximabOncologySurgeryLymphomaCancerClinical trial

Abstract

fetched live from OpenAlex

Abstract Introduction: We have previously reported that treatment of patients with relapsed or refractory indolent B-cell lymphoma with the pan-class I phosphatidylinositol 3-kinase (PI3K) inhibitor copanlisib resulted in durable responses with a manageable safety profile (Dreyling et al., J Clin Oncol 35:3898-3905, 2017). The objective response rate was 59%. In contrast with oral PI3K inhibitors, there was also a low incidence of severe adverse events, such as pneumonitis and colitis with copanlisib, possibly due to intravenous dosing and intermittent dose schedule. Because late-onset severe toxicities have been reported with chronic use of some oral PI3K inhibitors, we conducted a 2-year follow-up of the efficacy and safety from this study. Methods: Patients with histologically confirmed indolent B-cell non-Hodgkin lymphoma (4 subtypes: follicular lymphoma (FL), marginal zone (MZL), small lymphocytic and lymphoplasmacytoid / Waldenstrӧm macroglobulinemia) and relapsed after, or refractory to, ≥2 prior lines of treatment were eligible. Previous treatment had to include rituximab and an alkylating agent or regimen. Copanlisib was administered at a fixed dose of 60 mg via 1-hour I.V. infusion on days 1, 8 and 15 of a 28-day cycle. Treatment continued until progression or unacceptable toxicity. The primary efficacy endpoint was objective response rate (ORR) after ≥4 cycles as assessed per independent radiologic review (Cheson et al., JCO 20:579, 2007). Secondary efficacy endpoints included duration of response (DOR), progression-free survival (PFS), and overall survival (OS). Adverse events were reported using MedDRA (version 19.1). The last patient was enrolled in February 2016. The initial data cut-off was June 2016 and the long-term follow up is based on a February 2018 data cut-off. Results: A total of 142 patients were treated; the predominant histologies were FL (n=104) and MZL (n=23). The median age was 63 years (range 25-82). Median number of prior lines of treatment was 3 (range 2-9), with 61% being refractory to the last regimen. As of February 2018, the median duration of treatment was 6.0 months (range 0.2-44). The ORR was 61% (Table). CRs were seen in 24 patients (17%), 21 in the FL subset (20.2%) and 3 in the MZL group. The 24 CRs represent an increase of 7 compared to the original primary analysis. Median DOR was 14.1 months (95% CI 8.3; 22.3). With 72 events, the median PFS was 12.5 months (95% CI 9.0; 18.4) and with a total of 52 events the median OS was 42.6 months (95% CI 36.5; not reached). At the data cut-off, 11 patients (9 FL, 2 MZL) remained on treatment (range 24.8-43.9 months). A total of 38 patients (26.8%) had discontinued due an adverse event (AE) not associated with disease progression. Treatment-related AEs leading to dose reductions or dose interruptions were recorded in 36 (25.4%) and 72 (50.7%) patients, respectively. With a median safety follow up of 6.7 months, the most common treatment-emergent AEs (all-grade/grade 3/grade 4) were transient hyperglycemia (50.0%/33.1%/7%) and transient hypertension (29.6%/23.9% G3). Other AEs of interest included neutropenia (28.9%/9.2%/14.8%), diarrhea (35.2%/8.5% G3), pneumonitis (6.3%/1.4% G3), and colitis (one patient with G4). Serious AEs (SAEs) were reported in 55.6% of patients, with 31.7% G3 and 12% G4. (Corresponding SAEs from June 2016 were 50% all-grade, 27.5% G3 and 10.6% G4.) There were no new reports of G5 AEs . Conclusions: Analysis of the 2-year follow up of patients with relapsed or refractory indolent B-cell lymphoma treated with copanlisib demonstrated a deepening of the responses with a conversion of 7 patients from PR to CR, durable responses and manageable AEs. Moreover, the benefit/risk ratio for copanlisib treatment remains favorable with no evidence of worsening of AEs for patients treated long-term. Disclosures Dreyling: Mundipharma: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Acerta: Consultancy; Gilead: Consultancy, Honoraria; Bayer: Consultancy, Honoraria; Sandoz: Consultancy. Leppä:Celgene: Consultancy; Janssen: Consultancy, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Research Funding; Bayer: Research Funding. Follows:Janssen: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees. Lenz:Bayer: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Research Funding; Roche: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria; Celgene Corp.: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding, Speakers Bureau. Demeter:Amgen: Consultancy; Angelini: Consultancy; Novartis: Consultancy; Roche: Consultancy; Pfizer: Consultancy; BMS: Consultancy; Aramis Pharma: Consultancy. Özcan:MSD: Research Funding; Archigen: Research Funding; MSD: Other: travel support, Research Funding; Novartis: Research Funding; Takeda: Honoraria, Other: Travel payment, Research Funding; Abbvie: Other: Travel payment; Bayer: Research Funding; Celgene: Other: Travel support, Research Funding; Janssen: Other: Travel Support, Research Funding; BMS: Honoraria; Jazz: Other; Jazz: Other: Travel support; Roche: Honoraria, Research Funding. Morschhauser:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy; Janssen: Other: Scientific Lectures; Roche: Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. Stevens:Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees. Rodrigues:Bayer: Employment. Hiemeyer:Bayer: Employment. Wang:Syneos Health: Employment. Garcia-Vargas:Bayer: Employment. Childs:Bayer: Employment. Zinzani:Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; SERVIER: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Speakers Bureau; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Honoraria, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Speakers Bureau; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.273
Teacher spread0.258 · 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 designObservational
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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Citations12
Published2018
Admission routes1
Has abstractyes

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