Long-Term Efficacy and Safety from the Copanlisib CHRONOS-1 Study in Patients with Relapsed or Refractory Indolent B-Cell Lymphoma
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».