Results of the Phase 3 Study of Lenalidomide Versus Placebo As Maintenance Therapy Following Second-Line Treatment for Patients with Chronic Lymphocytic Leukemia (the CONTINUUM Trial)
Notice bibliographique
Résumé
Abstract Introduction: Despite recent advances in available treatments, chronic lymphocytic leukemia (CLL) remains an incurable disease, and the vast majority of patients (pts) will relapse and require additional lines of therapy. Thus, prolonging remission is a key treatment goal in CLL. This multicenter, randomized, double-blinded phase 3 trial (NCT00774345) was designed to evaluate the efficacy and safety of lenalidomide (LEN) vs placebo (PBO) as maintenance therapy in previously treated CLL pts. Methods: Eligible CLL pts must have had at least a partial response (PR) to second-line therapy. Pts were randomized 1:1 to receive either LEN 2.5 mg once daily on days 1-28 of the first 28-day cycle, or matching PBO. If LEN was well tolerated, escalation to 5 mg/day was permitted from cycle 2, and further escalation to 10 mg/day at cycle 7 and thereafter. Pts were stratified by their response at the end of second-line therapy (PR, nodular PR, complete response [CR], or CR with incomplete bone marrow recovery; vs minimal residual disease [MRD]-negative CR by flow cytometry); age (≤ 70 vs > 70 years); and presence of at least one of the following poor prognostic factors: del(11q), del(17p), unmutated IGHV, or b2M > 0.4 mg/L (Yes vs No vs Unknown). Co-primary endpoints were progression-free survival (PFS; IRAC assessed) and overall survival (OS). Secondary endpoints included: safety, tumor response, duration of response, second PFS (PFS2, time from randomization to second disease progression or death), and health-related quality of life (HRQoL). Results: Overall, 314 pts were enrolled (LEN, n = 160; PBO, n = 154). Baseline characteristics were balanced between the treatment arms: median age was 63 years (range 37-82) and 63 years (range 37-84), 71.9% and 72.1% were male, 9.4% and 11.7% had MRD-negative CR to second-line treatment, and 47.5% and 47.4% had at least one poor prognostic factor, in the LEN and PBO arms, respectively. On review of the primary analysis, 30 Sept 2015 data cutoff, the required number of progression events to complete the co-primary analysis had occurred, and the data monitoring committee recommended that the study be unblinded. Median follow-up time was 31.5 months, and the median PFS was significantly longer for LEN vs PBO: 33.9 vs 9.2 months, respectively (HR 0.40 [95% CI 0.29, 0.55]; P < 0.001). At the time of the analysis there were 86 deaths and there was no significant difference in the OS (HR 0.96 [95% CI 0.63, 1.48]; P = 0.856). Subsequent CLL therapy was received by 35.7% of pts in the LEN arm and 58.4% of pts in the PBO arm, of these pts 16% in the LEN arm and 20% in the PBO arm were treated with a BTK or PI3K inhibitor. Median PFS2 was significantly longer for LEN vs PBO: 57.5 vs 32.7 months, respectively (HR 0.46 [95% CI 0.29, 0.70]; P <0.001). Median number of treatment cycles received was 18 vs 9 cycles, for LEN vs PBO, respectively; a higher proportion of pts in the LEN arm started ≥25 cycles vs the PBO arm (38.9% vs 24.0%, respectively). Median dose intensity in the LEN arm was 4.2 mg/day. The most common adverse events (AEs) of all grades were neutropenia (66.2% vs 30.5%) and diarrhea (40.8% vs 16.2%) in the LEN vs PBO arm, respectively. Febrile neutropenia occurred in 1.9% vs 0%, deep vein thrombosis in 1.9% vs 0%, and pulmonary embolism in 2.5% vs 0.6% of pts in the LEN vs PBO arm, respectively. Most common grade 3/4 AEs were neutropenia (59.9% vs 22.7%), thrombocytopenia (16.6% vs 6.5%), and diarrhea (8.3% vs 0.6%) in the LEN vs PBO arm, respectively; all other grade 3/4 AEs occurred in <5% of pts in either arm. While there was a significant difference in the incidence of neutropenia, the rate of grade 3/4 infections was 16.6% for LEN vs 10.4% for PBO-treated pts. There were 13 (8.3%) vs 14 (9.1%) pts with at least one invasive second primary malignancy (SPM) in the LEN vs PBO arm, respectively. Hematologic invasive SPMs occurred in 7 vs 2 pts, and solid tumor invasive SPMs occurred in 7 vs 12 pts, in the LEN vs PBO arm, respectively. Overall, 44 pts in the LEN arm and 41 pts in the PBO arm died; 1 pt died on treatment in the LEN arm, and 2 pts in the PBO arm. There was no clinically meaningful difference in HRQoL for LEN vs PBO, as measured by FACT-Leu and EQ-5D, during maintenance treatment. Conclusions: LEN maintenance therapy significantly improved PFS from 9.2 to 33.9 months following second-line treatment in pts with CLL. The incidence of invasive SPMs was similar in both arms, and LEN maintenance treatment had an expected and acceptable safety profile. Disclosures Foà: Roche: Consultancy, Speakers Bureau; Janssen: Speakers Bureau; Gilead,: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Celgene Corporation: Consultancy, Speakers Bureau; Pfizer, Ariad: Speakers Bureau; Genentech, Janssen, BMS: Consultancy. Schuh:Gilead: Consultancy, Honoraria, Research Funding; Roche, Janssen, Novartis, Celgene, Abbvie: Consultancy, Honoraria. Zaritskey:Novartis: Consultancy; Janssen: Consultancy. Semochkin:Celgene, Sandoz, Novartis, Astellas, Janssen Pharmaceuticals, Bristol-Myers Squibb: Speakers Bureau; Celgene, Bayer Healthcare, Astellas Pharma Inc.: Research Funding; City Clinical Hospital 52, Moscow, Russia: Consultancy. Simpson:Amgen Pharmaceuticals: Research Funding; Celgene, Roche, Janssen: Honoraria. Vokurka:Roche: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Zhang:Celgene Corporation: Employment, Equity Ownership. Purse:Celgene Corporation: Employment, Equity Ownership.
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 | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».