Impact of High Risk Prognostic Parameters and Addition of Ibrutinib to Bendamustine/Rituximab (BR) on Outcomes for Patients with Relapsed Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma (CLL/SLL) from the Phase 3 Double-Blind HELIOS Trial
Notice bibliographique
Résumé
Abstract Introduction Ibrutinib is a first-in-class, once-daily, oral, covalent inhibitor of BTK that has excellent single-agent activity in patients with previously treated CLL/SLL, based on results of published clinical studies. In the HELIOS trial, addition of ibrutinib to BR resulted in an 80% reduction in disease progression or death and confirmed for the first time, in a randomized setting, the benefit of ibrutinib-based therapy compared with standard chemoimmunotherapy (CIT) in previously treated patients (Chanan-Khan et al. ASCO 2015). In patients with CLL or SLL, deletion 17p (del17p) and 11q (del11q), complex karyotype, unmutated IgVH, and elevated ZAP70 are known high-risk prognostic factors. The current analysis reports on the efficacy of ibrutinib + BR vs placebo + BR in patients in the HELIOS trial with relevant high-risk biomarkers. Methods HELIOS is a randomized, double-blind, placebo-controlled, phase 3 study. Patients with active CLL/SLL following ≥ 1 prior therapy were randomized 1:1 to receive BR (≤ 6 cycles) with either ibrutinib (420 mg daily) (n = 289) or placebo (n = 289). Patients with del17p (> 20% of cells) were excluded. Ninety patients in the placebo arm with independent review committee (IRC)-confirmed progressive disease crossed over to ibrutinib, per protocol amendment. The primary end point was IRC-assessed progression-free survival (PFS), and overall survival (OS) was a secondary end point. A total of 287 patients in each arm had data available for at least 1 biomarker, and this population was used for the biomarker analyses. Correlation of biological risk factors at baseline with PFS and OS was analyzed using Kaplan-Meier analysis and curves compared using log-rank tests. Hazard ratios (HRs) were estimated using univariate Cox proportional hazards models. Results At a median follow-up of 17 months, IRC-assessed PFS was significantly longer with ibrutinib + BR vs placebo + BR in the overall study population (median not reached vs 13.3 months, respectively; HR: 0.203; 95% CI: 0.150-0.276; p < 0.0001). All subgroups of patients, including those with adverse prognostic parameters, e.g., del11q, complex karyotype, unmutated IgVH and elevated ZAP70 levels, had a significantly longer PFS with the addition of ibrutinib to BR as compared with placebo + BR (Table 1). As expected, each of these adverse prognostic parameters had a negative impact on PFS in the placebo + BR arm, e.g., the median PFS was shortest in patients with complex karyotype [8.5 months vs 13.8 months in patients without complex karyotype] and in patients with unmutated IgVH (11.3 months vs 22.1 months in patients with mutated IgVH). Interestingly, in the ibrutinib + BR arm, the adverse impact of these risk factors could not be detected (median PFS not reached irrespective of presence of risk factors). For example, in Figure 1 showing the PFS curves stratified by both del11q status and treatment, the outcome for patients in the ibrutinib + BR arm with del11q was similar to those without, with a trend toward better outcome in the del11q patients (e.g., longer PFS - not reached vs 24.9 months), unlike for patients in the placebo + BR arm (11.01 months vs 13.86 months). In patients with del11q, unmutated IgVH, or elevated ZAP70, there were also statistically significant benefits in OS for those receiving ibrutinib + BR vs placebo + BR (del11q: HR: 0.326, 95% confidence interval [CI], 0.122-0.870; p = 0.025; unmutated IgVH: HR: 0.515, 95% CI, 0.298-0.890: p = 0.017; elevated ZAP70, HR 0.536, 95% CI, 0.289-0.994: p = 0.048). Addition of ibrutinib also increased PFS in patient subgroups with other cytogenetic or clinical prognostic markers (such as del13q or bulky disease) compared with placebo. Conclusions All subgroups of patients, irrespective of adverse risk factors, such as del11q, complex karyotype, elevated ZAP70, and unmutated IgVH, benefit from the addition of ibrutinib to BR compared with placebo + BR. The negative impact of these known risk factors is apparent in patients in the placebo + BR arm, but is not seen in patients in the ibrutinib + BR arm. These results suggest that ibrutinib + BR is a suitable treatment regimen for all patients with previously treated CLL/SLL, including those with high-risk prognostic markers. Disclosures Cramer: Janssen: Other: Travel grant, Research Funding, Speakers Bureau; Hoffman LaRoche: Other: Travel grant, Research Funding, Speakers Bureau; Mundipharma: Other: Travel grant; Glaxo Smith Klein/Novartis: Research Funding; Astellas: Other: Travel grant; Gilead: Other: Travel grant, Research Funding. Fraser:Janssen: Honoraria, Research Funding, Speakers Bureau; Hoffman LaRoche: Consultancy, Honoraria; Celgene: Honoraria, Research Funding. Santucci Silva:Janssen: Other: Travel reimbursement, Research Funding; GSK: Research Funding; Celgene: Research Funding; Merck: Research Funding; Novartis: Other: Travel reimbursement; Hoffman LaRoche: Other: Travel reimbursement, Research Funding. Dilhuydy:Roche: Honoraria, Other: Travel reimbursement; Janssen: Honoraria, Other: Travel reimbursement; Mundipharma: Honoraria. Goy:Allos, Biogen Idec, Celgene, Genentech, and Millennium. Gilead: Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau. Mato:Celgene: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding; Gilead: Consultancy, Other: Travel, Accommodations, Expenses; Pharmacyclics LLC, an AbbVie Company: Consultancy, Other: Travel, Accommodations, Expenses; TA Therapeutics: Research Funding. Damle:Janssen: Employment. Phelps:Janssen/J&J: Employment, Equity Ownership. Mahler:Janssen: Employment, Other: Travel reimbursement. Salman:Janssen/J&J: Employment, Equity Ownership. Schaffer:Janssen: Employment. Howes:Janssen/J&J: Employment, Equity Ownership. Balasubramanian:Pharmacyclics LLC, an AbbVie Company: Equity Ownership; Janssen: 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 | 0,004 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| 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 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».