Rituximab combined with chemotherapy and acalabrutinib prior to autologous stem cell transplantation in mantle cell lymphoma: The Rectangle Trial
Notice bibliographique
Résumé
Introduction: In the European MCL Network Triangle study the addition of ibrutinib to frontline rituximab-containing chemotherapy and subsequent maintenance therapy improved failure-free survival in young, fit patients with mantle cell lymphoma (MCL). Ibrutinib was administered with R-CHOP, but not with R-DHAP, during the induction phase. Continuous, uninterrupted Bruton Tyrosine Kinase (BTK) inhibition could maximize the benefit of front-line therapy given that responses develop over time. Acalabrutinib is a second generation BTK inhibitor with less off-target inhibition than ibrutinib. We hypothesize that combining continuous acalabrutinib with R-CHOP may result in a tolerable, outpatient, highly active regimen producing favorable outcomes. Methods: NCT04566887 is a phase II, non-randomized, single-arm study conducted across 5 academic centres in Canada. Patients ≥18 years of age with previously untreated MCL, ECOG performance status 0–2, adequate organ function and considered fit for autologous stem cell transplantation (ASCT) were included. Patients received 6 cycles of R-CHOP at standard doses plus acalabrutinib 100 mg twice per day orally. Responding patients proceeded with ASCT and maintenance rituximab and acalabrutinib for a total of 2 years. The primary endpoint was the complete response (CR) rate after 6 cycles of induction with centrally reviewed PET/CT using the Lugano Criteria. The total sample size is n = 54. We present the results of a preplanned interim analysis when the first 24 subjects completed response assessments after 6 cycles of induction. The study would be terminated if <15/24 patients achieved a CR. Results: The median age was 60 years (range 38–69), 16 (67%) were male, 23 (96%) had performance status 0–1, 19 (79%) Ann Arbor stage IV, 19 (79%) bone marrow involvement, 4 (17%) high risk MIPI, 3 (13%) blastoid/pleomorphic morphology, 7 (29%) Ki67 ≥30%. All patients completed 6 cycles of induction and proceeded to ASCT. The overall response rate was 100%, and 19 (79%) patients achieved a CR. Baseline high-risk MIPI and Ki67 70%; biopsy at relapse TP53 positive by immunohistochemistry (IHC), Baseline intermediate risk MIPI and Ki67 60%; biopsy at relapse with pleomorphic morphology, TP53 positive by IHC, Ki67 100%, Baseline high risk MIPI, Ki67 ≥30%, and blastoid morphology. Table 1 lists adverse events (AE) during the 6 cycles of induction. There were no grade 5 AE. Most infections were respiratory including 1 case with mild COVID-19. Conclusions: Acalabrutinib + R-CHOP is associated with a 79% CR rate with low rates of grade 3–4 AE expected for this combination. The study is ongoing, with expected full accrual by April 2023. The research was funded by: This investigator-initiated trial was funded by AstraZeneca. Keywords: combination therapies, indolent non-Hodgkin lymphoma, molecular targeted therapies Conflicts of interests pertinent to the abstract. D. Villa Consultant or advisory role: AstraZeneca, Janssen, BeiGene, Kite/Gilead, BMS/Celgene, Merck, Abbvie, Roche Honoraria: AstraZeneca, Janssen, BeiGene, Kite/Gilead, BMS/Celgene, Merck, Abbvie, Roche Research funding: AstraZeneca, Roche (research funding to the institution) D. Scott Consultant or advisory role: Abbvie, AstraZeneca, Incyte Research funding: Janssen, Roche Other remuneration: Patents using gene expression to subtype aggressive lymphoma, including one licensed to Veracyte J. Kuruvilla Research funding: AstraZeneca (to the institution)
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 | 0,000 |
| 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».