Front-Line Treatment with Obinutuzumab ± Chlorambucil for Chronic Lymphocytic Leukemia in Real-World Clinical Practice: Results of a Multinational, Multicenter Study By Eric and Icllsg
Notice bibliographique
Résumé
Chronic lymphocytic leukemia (CLL) occurs in older individuals with a median age at diagnosis of 72 years. In recent years, there has been considerable progress in the frontline therapy of elderly/physically unfit patients with CLL. The German CLL11 trial showed that addition of obinutuzumab to chlorambucil (G-Clb) prolongs progression free survival (PFS) and overall survival (OS) compared to chlorambucil alone or in combination with rituximab. More recently, obinutuzumab together with ibrutinib or venetoclax were shown to be superior to G-Clb with regard to PFS, but there was no advantage in terms of OS. In this retrospective, multinational and multicenter co-operative study the European Research Initiative on CLL (ERIC) and the Israeli CLL Study Group (ICLLSG) evaluated the efficacy of frontline treatment with G-Clb in patients with CLL, in a "real-world" setting. Our analysis excluded CLL patients with documented del(17p) or TP53 mutations since they are no longer treated with chemotherapy. Results: A total of 437 treatment-naïve patients with CLL from 51 medical centers located in 13 countries were included. The median age of this patient population was 75.9 years; 59.7% were men, median CIRS total score was 8 and estimated creatinine clearance 61.1 mL/min. Seventy four patients had Binet stage A (17.2%), 167 (38.8%) stage B and 190 (44.1%) stage C. Results of FISH and IGHV mutational status were available for 332 and 115 patients, respectively. High-risk cytogenetics, del(11q) was documented in 18.7% patients and IGHV-unmutated gene in 64.4%. The vast majority of patients were treated with G-Clb (N=408) and the rest with obinutuzumab monotherapy (G-monotherapy, N=29). The clinical overall response was 86.5%, including clinical complete and partial responses in 41.6% and 45.8% of cases, respectively. The median observation time was 14.1 months (m) and the median PFS of the entire cohort was 27.6m (95% CI, 24.2-31.0). The PFS for G-Clb was significantly better than G-monotherapy (P=0.001; HR=0.38, 95% CI: 0.22-0.67), being the 2-year PFS estimates 61.8% and 52.8%, respectively. The median PFS was significantly shorter for patients with del(11q) (19.2m) compared to those with normal FISH (not reached, P<0.001), del(13q) (29.9m, P<0.001) and trisomy12 (not reached, P=0.027). Patients with IGHV-unmutated had a trend for shorter PFS compared to those with IGHV-mutated gene (median PFS 25.3m vs. not reached, respectively. p=0.06). In a multivariate analysis, older age, high risk-disease, lymph nodes >5cm, G-monotherapy, reduced cumulative dose of obinutuzumab and status less than CR, were independently associated with shorter PFS. Seventy patients (16%) received a second-line treatment. The median OS for the entire cohort has not been reached yet and 2-year OS estimate is 88%. In conclusion, in a "real-world" setting, frontline treatment with G-Clb achieves PFS comparable to that reported in clinical trials. Inferior outcomes were observed in patients with high-risk disease [del(11q) and/or IGHV-unmutated] and those treated with G-monotherapy. Thus, even today in the era of novel drugs, G-Clb can be considered a legitimate frontline treatment in unfit CLL patients with low-risk disease [non-del(11q) and IGHV-mutated]. Disclosures Herishanu: Roche: Honoraria; AbbVie: Honoraria; Janssen: Honoraria. Simkovic:Roche: Honoraria; University Hospital Hradec Kralove: Employment; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Acerta: Consultancy, Honoraria. Mauro:Gilead: Consultancy, Research Funding; Shire: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding; Jannsen: Consultancy, Research Funding; Roche: Consultancy, Research Funding. Coscia:Abbvie: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm Therapeutics: Research Funding. Scarfo:AstraZeneca: Honoraria; Janssen: Honoraria; AbbVie: Honoraria. Tedeschi:AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen spa: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Consultancy; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; SUNESIS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BeiGene: Honoraria. Gimeno Vázquez:JANSSEN: Consultancy, Speakers Bureau; Abbvie: Speakers Bureau. Assouline:F. Hoffmann-La Roche Ltd: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau. Levato:Novartis: Honoraria; Pfizer: Honoraria; Incyte: Honoraria; BMS: Honoraria. Rigolin:Gilead: Speakers Bureau; Gilead: Research Funding; AbbVie: Speakers Bureau. Loscertales:Janssen: Honoraria; Roche: Honoraria; AstraZeneca: Honoraria; AbbVie: Honoraria; Gilead: Honoraria. Ghia:Dynamo: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding; Acerta/AstraZeneca: Consultancy, Honoraria; ArQule: Consultancy, Honoraria; BeiGene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Juno/Celgene: Consultancy, Honoraria; Sunesis: Consultancy, Honoraria, Research Funding; Novartis: Research Funding; Pharmacyclics LLC, an AbbVie Company: Consultancy; Gilead: 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 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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 | 0,001 |
| 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 ».