Head-To-Head Comparison Of Obinutuzumab (GA101) Plus Chlorambucil (Clb) Versus Rituximab Plus Clb In Patients With Chronic Lymphocytic Leukemia (CLL) and Co-Existing Medical Conditions (Comorbidities): Final Stage 2 Results Of The CLL11 Trial
Notice bibliographique
Résumé
Abstract Introduction CLL11 is a large randomized phase 3 trial investigating first-line chemoimmunotherapy in CLL patients with comorbidities, i.e. patients typically treated in daily practice. Here, we present: (i) The final stage 2 analysis with efficacy and safety results of the head-to-head comparison between GA101 plus Clb (GClb) and rituximab plus Clb (RClb); at the pre-planned interim analysis, the primary endpoint was met early and the results were released by the independent data monitoring board. (ii) An update on the stage I analysis (GClb vs. Clb and RClb vs. Clb comparisons) with longer observation time; the final stage 1 analysis recently showed that GClb or RClb has superior efficacy to chemotherapy with Clb alone. Methods Treatment-naïve CLL patients with a Cumulative Illness Rating Scale (CIRS) total score >6 and/or an estimated creatinine clearance (CrCl) <70 mL/min were eligible. Patients received Clb alone (0.5 mg/kg po d1, d15 q28 days, 6 cycles), GClb (100 mg iv d1, 900 mg d2, 1000 mg d8, d15 of cycle 1, 1000 mg d1 cycles 2-6), or RClb (375 mg/m2 iv d1 cycle 1, 500 mg/m2 d1 cycles 2-6). Primary endpoint was investigator-assessed progression-free survival (PFS). Response rates, minimal residual disease (MRD), and overall survival (OS) were key secondary efficacy endpoints. Results Final results of the stage 2 analysis: Median observation time was 19 months. The GClb and RClb treatment arms were well balanced for baseline characteristics. Median age, CIRS score, and CrCl at baseline were 73 years, 8, and 63 mL/min respectively. Key efficacy and safety results are shown in the table. The PFS benefit of GClb over RClb was supported by all pre-planned subgroup analyses (including the cytogenetic subgroups 17p-, 11q-, 12+, 13q-). The number of patients with MRD negative blood samples at end-of-treatment was more than 10-fold higher with GClb compared with RClb (63/214 [29.4%] vs. 6/243 [2.5%]). Grade 3-4 infusion-related reactions with GClb occurred at first infusion only. Updated results of the stage 1 analysis: Median observation time was 23 months. Confirming the primary stage 1 results, GClb or RClb compared with Clb alone was associated with statistically significant and clinically meaningful improvement in PFS (GClb vs. Clb: HR 0.18, CI 0.13-0.24, p<.0001, RClb vs. Clb: HR 0.44, CI 0.34-0.57, p<.0001). The updated median PFS in GClb, RClb and Clb were 26.7, 16.3 and 11.1 months, respectively. Updated OS analysis demonstrated a benefit of GClb over Clb (HR 0.41, CI 0.23-0.74, p=0.002). OS analysis for RClb over Clb showed HR 0.66, CI 0.39-1.11, p=0.113. At the data cut-off, 9%, 15%, and 20% of the patients in the GClb, RClb, and Clb arms, respectively, had died. OS medians were not reached. Conclusions GA101, a novel, glycoengineered, type II CD20 antibody, in combination with Clb (GClb regimen) demonstrated statistically significant and clinically meaningful prolongation of PFS, and higher complete response rate and MRD negativity rate compared with RClb in previously untreated CLL patients with comorbidities. Infusion-related reactions and neutropenia were more common with GClb without an increase in infections. Furthermore, GClb vs. Clb alone demonstrated a prolongation of OS. Overall, GClb is superior to RClb and a highly active treatment in this typical CLL patient population. Disclosures: Goede: Mundipharma: Honoraria; F. Hoffmann-La Roche: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding. Off Label Use: GA101 is a novel, glycoengineered, type II anti-CD20 monoclonal antibody that is designed to enhance direct cell death and antibody-dependent cellular cytotoxicity. It is being investigated in chronic lymphocytic leukemia, Non-Hodgkin’s Lymphoma and other hematologic indications. Fischer:Mundipharma: Travel grants, Travel grants Other; F. Hoffmann-La Roche: Travel grants Other. Engelke:F. Hoffmann-La Roche: Travel grants Other. Eichhorst:Mundipharma: Honoraria, Research Funding; Janssen: Honoraria; Celgene: Consultancy; F. Hoffman-La Roche: Honoraria, Research Funding. Wendtner:F. Hoffmann-La Roche: Consultancy, Research Funding. Dilhuydy:F. Hoffmann-La Roche: Consultancy. Opat:F. Hoffmann-La Roche: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Alexion Pharmaceuticals: Membership on an entity’s Board of Directors or advisory committees; Novartis Pharmaceuticals: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Owen:F. Hoffmann-La Roche: Honoraria. Kreuzer:F. Hoffmann-La Roche: Consultancy, Honoraria. Langerak:F. Hoffmann-La Roche: Research Funding. Ritgen:F. Hoffmann-La Roche: Research Funding. Stilgenbauer:F. Hoffmann-La Roche: Consultancy, Honoraria, Research Funding. Asikanius:F. Hoffmann-La Roche: Employment. Humphrey:F. Hoffmann-La Roche: Employment. Wenger:F. Hoffmann-La Roche: Employment, Ownership interests (including stock options) in a start-up company, the stock of which is not publicly traded Other. Hallek:F. Hoffmann-La Roche: Consultancy, Honoraria, Research Funding.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».