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Record W2920903135 · doi:10.1182/blood-2018-99-117063

Outcomes for Patients with Pre-Existing Diabetes or Hypertension Treated with Copanlisib from the CHRONOS-1 Study in Patients with Relapsed or Refractory Indolent B-Cell Lymphoma

2018· article· en· W2920903135 on OpenAlexaff
Pier Luigi Zinzani, Armando Santoro, Luigina Mollica, Sirpa Leppä, George Follows, Georg Lenz, Won Seog Kim, Arnon Nagler, Panayiotis Panayiotidis, Judit Demeter, Franck Morschhauser, Liana Rodrigues, John A. Reeves, Florian Hiemeyer, Ashok Miriyala, J. Garcia‐Vargas, Barrett H. Childs, Martin Dreyling

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineInternal medicineAdverse effectRegimenChemotherapy regimenCommon Terminology Criteria for Adverse EventsTolerabilityNeutropeniaFollicular lymphomaClinical endpointGastroenterologySurgeryLymphomaChemotherapyClinical trial

Abstract

fetched live from OpenAlex

Abstract Introduction: We 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). Copanlisib is administered intravenously on an intermittent schedule and two of the most commonly reported adverse events are infusion-related transient elevations in blood glucose and blood pressure. Patients with a medical history of diabetes mellitus or hypertension were allowed to enroll in the CHRONOS-1 study if these conditions were well controlled. We report here on the outcomes for these subsets of patients. Methods: Patients with histologically confirmed indolent B-cell non-Hodgkin lymphoma 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 (60 mg) was administered I.V. 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) 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 (AEs) were reported using MedDRA (version 19.1). The cut-off for this analysis was February 2018. Results: A total of 142 patients were treated, with follicular lymphoma (FL) being the principal histology (n=104). 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. Twenty patients with diabetes were enrolled; 17 patients with a history of diabetes mellitus, 1 with history of impaired glucose tolerance, and 2 diagnosed at screening. Forty one patients with a medical history of hypertension were enrolled; baseline median systolic blood pressure was 126 mmHg in hypertensive subgroup vs 118 mmHg in non-hypertensives. At the time of analysis, the median duration of treatment was 5.0 months in the diabetic pts, 6.0 months in non-diabetics, 6.0 months in hypertensive pts, and 5.9 months in non-hypertensives. The ORR was >60% in all subsets with the exception of the diabetic subset, where the ORR was 40% (Table). The median DOR was also the shortest for the diabetic subset (7.1 mo); 3 patients were in response for more than 2 yrs. The mDOR for non-diabetics was 14.9 mo. Interestingly, the hypertensive patient subset had the highest rate of CR (26.8%). Of the 41 pts in this subset, 31 were FL patients, and among these patients 10 (32.3%) had a CR. Likewise, the mDOR for the hypertensive subset was 22.6 mo; the non-hypertensive subset had a mDOR of 10.9 mo. Median PFS for the four subsets were: 7.2 mo for diabetics, 13.8 mo for non-diabetics, 19.0 mo for hypertensives, and 11.3 mo for non-hypertensives. Median OS had not yet been reached in the non-diabetic and non-hypertensive subsets. Regarding AEs of interest possibly impacted by pre-existing conditions, all-grade (G) treatment-emergent hyperglycemia was reported in 85% and 44.3% of diabetic and non-diabetic groups, respectively. G4 hyperglycemia was reported in 7/20 (35%) of diabetic patients but in in only 3 (2.5% of non-diabetics). Two diabetic patients and one non-diabetic patient discontinued treatment due to hyperglycemia. Mean ± SD hemoglobin A1c values increased 0.64±0.9% from baseline to last value on treatment in diabetics and 0.50±0.8% in non-diabetics. All-grade hypertension was reported for 43.9% of hypertensive patients and was principally G3 (39.0%). In non-hypertensives the all-grade and G3 values were 23.8% and 17.8%, respectively. There were no G4 events. One patient discontinued due to hypertension (G2). There were two G3 cardiac-related events (atrial fibrillation and left ventricular dysfunction) and one G4 event (arrhythmia) in the hypertensive group. Conclusions: These results support use of copanlisib in indolent lymphoma patients with well-controlled diabetes or hypertension. In particular, the transient hyperglycemia in diabetic patients did not exacerbate metabolic status as reflected in HbA1c values. Thus, patients with these pre-existing conditions should not be precluded treatment a priori. Disclosures Zinzani: Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees; MSD: Honoraria, Speakers Bureau; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; 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; BMS: 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; Celgene: 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. Leppä:Roche: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Research Funding; Bayer: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy. 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:Celgene Corp.: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding, Speakers Bureau; Bayer: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria; Novartis: Research Funding; Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding, Speakers Bureau; Roche: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding. Demeter:Novartis: Consultancy; BMS: Consultancy; Aramis Pharma: Consultancy; Pfizer: Consultancy; Roche: Consultancy; Angelini: Consultancy; Amgen: Consultancy. Morschhauser:Janssen: Other: Scientific Lectures; Roche: Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees. Rodrigues:Bayer: Employment. Reeves:Joule INC: Employment; Bayer: Consultancy. Hiemeyer:Bayer: Employment. Miriyala:Bayer: Employment. Garcia-Vargas:Bayer: Employment. Childs:Bayer: Employment. Dreyling:Sandoz: Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: 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, Research Funding; Mundipharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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 score0.250
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.269
Teacher spread0.246 · 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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Citations1
Published2018
Admission routes1
Has abstractyes

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