Efficacy of Copanlisib Monotherapy in Patients with Relapsed or Refractory Marginal Zone Lymphoma: Subset Analysis from the CHRONOS-1 Trial
Notice bibliographique
Résumé
Abstract Introduction: Marginal zone lymphoma (MZL) is an indolent B-cell malignancy which comprises approximately 10% of non-Hodgkin's lymphomas. Copanlisib is an intravenously administered pan-Class I phosphatidylinositol 3-kinase (PI3K) inhibitor with predominant activity against PI3K-α and PI3K-δ isoforms. In the recent phase II CHRONOS-1 trial, treatment of patients with relapsed or refractory indolent B-cell lymphoma with copanlisib resulted in an overall response rate (ORR) of 59%. A total of 23 patients (16%) in the trial had MZL histology. We describe here a subset analysis of the MZL patients in CHRONOS-1 . Methods: Patients enrolled into the CHRONOS-1 trial with MZL had to have relapsed after, or were refractory to ≥2 prior lines of treatment. Previous treatment had to include rituximab and an alkylating agent. Copanlisib was administered at a fixed dose of 60 mg via 1-hour I.V. infusion on an intermittent schedule days 1, 8 and 15 of a 28-day cycle. Treatment continued until progression or unacceptable toxicity. The subset analysis comprised 23 MZL patients (15 nodal, 4 splenic and 4 MALT lymphomas). Objective tumor response rate (ORR) after ≥4 cycles was assessed per independent radiologic review (Cheson et al., JCO 20:579, 2007). Secondary efficacy endpoints included duration of response (DOR). Adverse events were assessed using the CTCAE (v4.03) coding. Results: The 23 MZL patients, as assessed by the investigator, included 4 (17.4%) mucosa-associated lymphoid tissue (MALT) lymphoma, 15 (65.2%) nodal MZL and 4 (17.4%) splenic MZL. Median age was 69 years (range 39-81) and ECOG status 0 and 1 roughly similar (52% and 48%). Prior treatment included a median of 3 (range 2-9) lines of therapy, with 48% being refractory to the last regimen, and 44% refractory to last rituximab regimen. As of the data cutoff date of 20 February, 2017, patients had received a median of 5.8 cycles of treatment with a median duration of treatment of 23 weeks (range 1-138). A total of 16 patients had an objective tumor response, for an ORR of 70%. Complete responses (CR) were observed in 3 (13%) patients, all with splenic MZL. Twelve of 15 (80%) patients with nodal disease had an objective tumor response and 1 of 4 (25%) with MALT had a response. The median DOR had not been reached, with the range being 1-728 days and 85% estimated to be in response at 9 months. Individual plots of tumor shrinkage over time for responders indicated rapid and prolonged responses (See Figure). The most common treatment-emergent AEs (all grade/grade 3+) for the entire CHRONOS-1 study population were transient hyperglycemia (50.7%/41.5%) and hypertension (30.3%/23.9%). Other AEs included decreased neutrophil count (31.7%/25.4%), diarrhea (33.8%/5.6%), lung infection (24.6%/16%), pneumonitis (7%/2.1%), and colitis (0.7%/0.7%). Laboratory toxicities of interest were principally grade-1, including elevated ALT (24.1% all-grade/20.6% grade-1) and AST (30.5% all grade/27% grade 1-2). In the MZL subset, there were no non-fatal opportunistic infections and no deaths attributed to copanlisib. However, there were 3 treatment-related deaths in the total patient population of the CHRONOS-1 study. Conclusions: Copanlisib treatment of relapsed or refractory MZL patients resulted in a promising ORR of 70% and CR rate of 13% in this cohort of 23 patients. Responses were durable, with the median DOR having not yet been reached (85% were estimated to be in response at 9 months), higher than what has been previously reported in the MZL treatment landscape, warranting further study of copanlisib in MZL. Figure: Time course for tumor shrinkage (per investigator assessment) for individual MZL patients achieving an objective tumor responses (per independent central review) while receiving copanlisib treatment. Download : Download high-res image (117KB) Download : Download full-size image Figure . Disclosures Dreyling: Sandoz: Consultancy; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bayer: Consultancy, Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau; Gilead: Consultancy, Speakers Bureau; MorphoSys AG: Consultancy; Mundipharma: Consultancy, Research Funding; Janssen: Consultancy, Research Funding, Speakers Bureau. Santoro: Merck: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees. Ishida: Bayer SA: Employment. Lu: Bayer HealthCare Pharmaceuticals: Employment. Hiemeyer: Bayer AG, Pharmaceuticals Division: Employment. Garcia-Vargas: Bayer HealthCare Pharmaceuticals: Employment. Childs: 11. Bayer HealthCare Pharmaceuticals: Employment. Zinzani: 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; Celgene: 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; Johnson & Johnson: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».