Final safety and efficacy results of copanlisib monotherapy in patients with relapsed or refractory iNHL: 6‐year follow‐up of CHRONOS‐1
Notice bibliographique
Résumé
Introduction: The phosphatidylinositol 3-kinase inhibitor copanlisib was approved for use in the US in 2017 as monotherapy in patients with relapsed follicular lymphoma (FL) who have progressed after ≥2 therapies based on results from the Phase II CHRONOS-1 study in patients with relapsed or refractory indolent non-Hodgkin lymphoma (iNHL) (Dreyling et al. J Clin Oncol 2017). Here, we describe efficacy and safety data at the 6-year follow-up. Methods: CHRONOS-1 enrolled patients with FL, marginal zone lymphoma (MZL), small lymphocytic lymphoma (SLL), and Waldenström macroglobulinemia/lymphoplasmacytoid lymphoma (WM/LPL) who had received ≥2 therapies. Copanlisib 60 mg was administered intravenously on days 1, 8, and 15 of a 28-day cycle. The primary efficacy endpoint was objective response rate (ORR) per independent radiologic review (Cheson et al. J Clin Oncol 2007). Secondary endpoints included duration of response (DoR), progression-free survival (PFS), and overall survival (OS). CTCAE v4.03 was used to grade adverse events (AEs). Results: 142 patients with iNHL (104 FL, 23 MZL, 8 SLL, 6 WM/LPL, 1 other) received treatment. 99.3% of patients had discontinued treatment by the data cut-off (June 30, 2022). During follow-up, 74% of patients (n = 105) received ≥1 line of subsequent systemic anti-cancer therapy, including 46% of patients treated with rituximab-based regimens. ORR was 59.9% (n = 85) with complete responses in 23 patients (16.2%). Median DoR was 14.9 months (mos) (range 0–80.6). With a median follow-up of 14 mos (95% confidence interval [CI] 10.3, 20.7), median PFS was 11.3 mos (range 0–82.1) with a 2-year PFS rate of 33%. With a median follow-up of 82.3 mos (95% CI: 79.3, 84.2), median OS was 59.1 mos (73 events, range 0.2–100.6) with a 6-year OS rate of 45% (Figure). Median duration of treatment was 6.0 mos (range 0.23–81.0). Transformation to aggressive lymphoma (diffuse large B-cell lymphoma) was not observed. Treatment was discontinued primarily due to radiologic disease progression (35.2%; n = 50) and AEs not associated with clinical disease progression (28.2%; n = 40). Copanlisib safety data were consistent with the 2-year follow-up (Dreyling et al. Am J Hematol 2020). The most common treatment-emergent AEs (all grades/grades 3–4) were infusion-related hyperglycemia (50.7%/39.4%), diarrhea (35.9%/8.5%), hypertension (29.6%/23.9%), neutropenia (29.6%/24.7%), and pyrexia (26.8%/4.2%). The research was funded by Bayer AG with medical writing and editorial assistance from Complete HealthVizion Keyword: Indolent non-Hodgkin lymphoma Conflicts of interests pertinent to the abstract. M. Dreyling Consultant or advisory role: AstraZeneca, BeiGene, BMS/Celgene, Gilead/Kite, Janssen, Lilly/Loxo, Novartis, Roche Honoraria: AstraZeneca, BeiGene, Gilead/Kite, Janssen, Roche, Lilly, Novartis Research funding: AbbVie, Bayer, BMS/Celgene, Gilead/Kite, Janssen, Roche A. Santoro Consultant or advisory role: BMS (BRISTOL MYERS SQUIBB)/SERVIER/GILEAD/PFIZER/EISAI/BAYER/MSD (MERCK SHARP & DOHME), SANOFI/ INCYTE Other remuneration: Speaker's Bureau: TAKEDA/BMS/ROCHE/ABB-VIE/AMGEN/CELGENE/SERVIER/GILEAD/ASTRAZENECA/PFIZER/LILLY/SANDOZ/EISAI/NOVARTIS/BAYER/MSD S. Leppä Consultant or advisory role: Gilead Sciences, Novartis, Roche, BeiGene, Orion Clinical, Incyte, Pfizer, SOBI Honoraria: Gilead Sciences, Novartis, Incyte Research funding: Roche, Bayer, Celgene, Novartis, Genmab, Hutchison MediPharma G. A. Follows Consultant or advisory role: AbbVie, Roche, Janssen, AstraZeneca, Lilly, Centessa Honoraria: AbbVie, Roche, Janssen, AstraZeneca, Lilly Educational grants: Takeda G. Lenz Employment or leadership position: President elect German Lymphoma Alliance, Board of director German Lymphoma Alliance Consultant or advisory role: Roche, Janssen, Celgene, AstraZeneca, BMS, AbbVie, MorphoSys, Karyopharm, ADC, PentixaPharm, Hexal/Sandoz, Genase, Gilead, Bayer, Novartis, Takeda, NanoString, Incyte, Genmab, Constellation, Miltenyi, Sobi, Immagene, Lilly Honoraria: Roche, Bayer, Takeda, AbbVie, MorphoSys, Hexal/Sandoz, Janssen, Celgene, BMS, Incyte, Sobi Research funding: Roche, Gilead, Janssen, AstraZeneca, Bayer, Celgene, Novartis, MorphoSys Educational grants: Janssen, BMS, AbbVie P. Panayiotidis Other remuneration: Bayer AG, clinical trial support M. Özcan Research funding: AbbVie, Bayer, Janssen, Roche, Takeda, MSD, Pfizer, Acerta Educational grants: AbbVie M. Kosinova Other remuneration: Bayer AG, clinical trial support M. Provencio Consultant or advisory role: AstraZeneca, Bristol Myers Squibb Company, Eli Lilly, F. Hoffmann-La Roche, Janssen Global Services, LLC, Laboratorios Pfizer Ltda., Merck, Takeda Oncology. Research funding: Boehringer Ingelheim, Bristol Myers Squibb Company, F. Hoffmann-La Roche, Pierre Fabre Pharmaceuticals, Inc., Takeda Oncology. Educational grants: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb Company, Eli Lilly, F. Hoffmann-La Roche, Pierre Fabre Pharmaceuticals, Inc., Other remuneration: PATENTS, ROYALTIES, OTHER INTELLECTUAL PROPERTY: P201731067. Prognosis methods for patients with folicular lymphoma. España. 16/05/2017. FIBHUPH; PCT/ES2018/070463. Method for designing J. Munoz Consultant or advisory role: Pharmacyclics/AbbVie, Bayer, Gilead/Kite Pharma, Pfizer, Janssen, Juno/Celgene, BMS, Kyowa, Alexion, Fosun Kite, Innovent, Seattle Genetics, Debiopharm, Karyopharm, Genmab, ADC Therapeutics, Epizyme, BeiGene, Servier, Novartis, MorphoSys/Incyte, MEI, Zodiac, TG Therapeutics, Lilly/Loxo Honoraria: Targeted Oncology, OncView, Curio, Kyowa, Physicians' Education Resource, and Seattle Genetics Research funding: Bayer, Gilead/Kite Pharma, Celgene, Merck, Portola, Incyte, Genentech, Pharmacyclics, Seattle Genetics, Janssen, Millennium Other remuneration: Speaker's Bureau: Gilead/Kite Pharma, Kyowa, Bayer, Pharmacyclics/Janssen, Seattle Genetics, Acrotech/Aurobindo, BeiGene, Verastem, AstraZeneca, Celgene/BMS, Genentech/Roche A. Cao Employment or leadership position: Bayer HealthCare Pharmaceuticals, Inc. F. Hiemeyer Employment or leadership position: Bayer AG F. Odongo Employment or leadership position: Bayer SA J. Garcia-Vargas Employment or leadership position: Bayer HealthCare Pharmaceuticals, Inc. B. H. Childs Employment or leadership position: Bayer HealthCare Pharmaceuticals, Inc. P. L. Zinzani Consultant or advisory role: SECURA BIO, CELLTRION, GILEAD, JANSSEN- CILAG, BMS, SERVIER, SANDOZ, MSD, ASTRAZENECA, TAKEDA, ROCHE, EUSAPHARMA, KYOWA KIRIN, NOVARTIS, ADC Therap., Incyte, BeiGene Other remuneration: Speaker's Bureau: CELLTRION, GILEAD, JANSSEN- CILAG, BMS, SERVIER, SANDOZ, MSD, ASTRAZENECA, TAKEDA, ROCHE, EUSAPHARMA, KYOWA KIRIN, NOVARTIS, ADC Therap., Incyte, BeiGene
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 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 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».