MétaCan
Menu
Retour à la cohorte
Enregistrement W4380078158 · doi:10.1002/hon.3163_156

MURANO: Final 7 year follow up and retreatment analysis in venetoclax‐rituximab (VenR)‐treated patients with relapsed/refractory chronic lymphocytic leukemia (<i>R</i>/<i>R</i> CLL)

2023· article· en· W4380078158 sur OpenAlexaff
Arnon P. Kater, Rosemary Harrup, Thomas J. Kipps, Barbara Eichhorst, Carolyn Owen, Sarit Assouline, Nicole Lamanna, Tadeusz Robak, Javier de la Serna, Ulrich Jaeger, Guillaume Cartron, Marco Montillo, Clemens Mellink, Brenda Chyla, Maria Thadani‐Mulero, Marcus Lefebure, Yanwen Jiang, Rosemary Millen, Michelle Boyer, John F. Seymour

Notice bibliographique

RevueHematological Oncology · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensJewish General HospitalUniversity of Calgary
Organismes subventionnairesF. Hoffmann-La RocheAstraZeneca
Mots-clésMedicineBendamustineInternal medicineHazard ratioRituximabRegimenConfidence intervalGastroenterologyChronic lymphocytic leukemiaRefractory (planetary science)Progression-free survivalSurgeryLeukemiaOverall survivalLymphoma

Résumé

récupéré en direct d'OpenAlex

Introduction: Fixed-duration (FD) VenR treatment (tx) in patients (pts) with R/R CLL in the Phase 3 MURANO trial (NCT02005471) resulted in superior progression-free survival (PFS) and overall survival (OS), versus bendamustine (B)R. This was sustained at 5 years (y) median (m) follow up (FU): PFS, 53.6 months [mo] with VenR versus 17.0 mo with BR; 5 y OS rates, 82.1% with VenR versus 62.2% with BR; p < 0.0001 for both. We report the final analyses of MURANO at 7 y mFU: specifically, updated PFS and OS, with minimal residual disease (MRD) evaluation, in pts treated in the main study, and in VenR-retreated pts in the substudy. Methods: Pts with R/R CLL were randomized to VenR (Ven 400 mg daily for 2 y + monthly R for the first 6 mo) or BR (6 mo). In the substudy (2018 onwards), pts with progressive disease (PD) received VenR (to the main study regimen) as re-tx or as crossover from BR. PFS was investigator assessed. Peripheral blood MRD was measured centrally by ASO-PCR and/or flow cytometry. Undetectable (u)MRD was defined as <10–4. Results: Baseline characteristics are shown in the Table. At the final data cut (3 August 2022), mPFS (95% confidence interval [CI]) in VenR-treated pts (n = 194) was 54.7 mo (52.3, 59.9) versus 17.0 mo (15.5, 21.7) in BR-treated pts (n = 195; hazard ratio [HR] 0.25). Seven y PFS rates (95% CI) were 23.0% (16.1, 29.9) with VenR (no BR-treated pts were progression free at this time point); 7 y OS rates (95% CI) were 69.6% (62.8, 76.5) with VenR and 51.0% (43.3, 58.7) with BR (HR 0.53). M time to next tx with VenR was 63.0 mo versus 24.0 mo with BR (HR 0.30); 37.1% of VenR-treated pts have not had further anti-CLL tx. Among VenR-treated pts who had uMRD at end of tx (EOT) without PD (n = 83/118; 70.3%), mPFS (95% CI) from EOT was 52.5 mo (44.5, 61.5) versus 18.0 mo (8.5, 29.3; p < 0.0001) in pts who were MRD+ at EOT (n = 35; 29.7%). At 7 y FU, 14 (16.9%) pts had no PD nor confirmed MRD conversion; in the 63 (75.9%) pts with MRD conversion, m time to conversion (95% CI) was 19.4 mo (8.7, 28.0). Among 63 pts who converted, 39 subsequently had PD or died; m time from conversion to PD (95% CI) was 28.3 mo (23.2, 35.0). In the substudy (n = 34), 25 pts received VenR re-tx (Table), 92.0% of whom had ≥1 of the following high-risk features: IGHV-unmutated disease, genomic complexity, del(17p) and/or TP53 mutations; despite this, 14/25 (56.0%) achieved uMRD at EOT in the main study. Best overall response rate (ORR) to re-tx was 72.0% and mPFS (95% CI) was 23.3 mo (15.6, 24.3). M (range) time from the last Ven dose in the main study to Ven ramp-up in the substudy was 2.3 y (1.2–3.1). Eight (32.0%) pts achieved uMRD at the re-tx end of combination tx, but no pts retained uMRD at the re-tx EOT. No new safety findings were observed. Conclusions: PFS and OS benefits for VenR versus BR were sustained and uMRD was associated with prolonged PFS. In the high risk VenR-retreated pts, ORR was high and uMRD was attainable. These data support FD VenR in R/R CLL, and suggest that VenR re-tx is a viable option for pre-treated pts. Encore Abstract - previously submitted to EHA 2023 The research was funded by: MURANO was sponsored by F. Hoffmann-La Roche Ltd and AbbVie, Inc. Third-party medical writing and editorial assistance, under the direction of the authors was provided by Roisin Weaver, MSc, and Alex Maksymowych, MSc, of Ashfield MedComms, an Inizio company, and was funded by F. Hoffmann-La Roche Ltd. The authors would also like to thank Jenny Qun Wu, Genentech Inc, and Anne-Marie van der Kevie-Kersemaekers, Amsterdam University Medical Centers, for their contributions to the study. Keywords: Chronic Lymphocytic Leukemia (CLL), Combination Therapies Conflicts of interests pertinent to the abstract A. P. Kater Employment or leadership position: Amsterdam University Medical Centers, University of Amsterdam Consultant or advisory role: Abbvie, AstraZeneca, BMS, Janssen, Genmab, LAVA, Roche/Genentech Research funding: Abbvie, AstraZeneca, BMS, Janssen, Genmab, LAVA, Roche/Genentech Educational grants: Abbvie, AstraZeneca, Janssen, Roche/Genentech Other remuneration: Leadership- HOVON: President of executive board, chairman of the CLL working group; Amsterdam UMC: Chairman Good Research Practice committee; EHA: Chairman Scientific Working group on CLL; ERIC: member executive board; Speaker’s Bureau - Abbvie, Janssen R. Harrup Consultant or advisory role: AstraZeneca 20 July 2021 T. J. Kipps Consultant or advisory role: Ascerta/AstraZeneca; Celgene; Genentech/Roche; Gilead; Janssen; Loxo Oncology; TG Therapeutics; Verastem; Pharmacyclics/AbbVie; Breast Cancer Research Foundation; Md Anderson Cancer Center; Oncternal Therapeutics, Inc.; Specialized Center of Research [SCOR] - The Leukemia and Lymphoma Society [LLS]; California Institute for Regenerative Medicine [CIRM]; National Cancer Institute/NIH; VelosBio, Inc. – Research Agreement Honoraria: Pharmacyclics/AbbVie, Genentech/Roche, Janssen, Gilead, National Cancer Institute/NIH, Celgene, European Research Initiative on CLL [ERIC], Dava Oncology, Breast Cancer Research Foundation, iwNHL, NCCN CLL/SLL Hairy Cell Leukemia Panel Meeting, OncLive Research funding: Ascerta/AstraZeneca; Celgene; Genentech/Roche; Gilead; Janssen; Loxo Oncology; TG Therapeutics; Verastem; Pharmacyclics/AbbVie; Breast Cancer Research Foundation; Md Anderson Cancer Center; Oncternal Therapeutics, Inc.; Specialized Center of Research [SCOR] - The Leukemia and Lymphoma Society [LLS]; California Institute for Regenerative Medicine [CIRM]; National Cancer Institute/NIH; VelosBio, Inc. – Research Agreement Educational grants: Pharmacyclics/AbbVie, Genentech/Roche, Janssen, Gilead, National Cancer Institute/NIH, Celgene, European Research Initiative on CLL [ERIC], Dava Oncology, Breast Cancer Research Foundation, iwNHL, NCCN CLL/SLL Hairy Cell Leukemia Panel Meeting, OncLive Other remuneration: Patents, royalties or other intellectual property - Cirmtuzumab was developed by TJK in the TJK laboratory and licensed by the University of California to Oncternal Therapeutics, Inc., which provided stock options and research funding to the TJK laboratory B. Eichhorst Employment or leadership position: University Hospital Cologne, Faculty of Medicine; Ended employment in the past 24 months - University Hospital Cologne, Faculty of Medicine Consultant or advisory role: Janssen, AbbVie, Gilead, AstraZeneca, BeiGene, MSD, Lilly Honoraria: Roche, AbbVie, BeiGene, AstraZeneca, MSD Research funding: Janssen, Gilead, Roche, AbbVie, BeiGene, AstraZeneca Educational grants: BeiGene Other remuneration: Leadership - Director Prof. Michael Hallek; Speaker’s Bureau - Roche, AbbVie, BeiGene, AstraZeneca, MSD C. J. Owen Honoraria: AbbVie, AstraZeneca, BeiGene, Janssen, Merck, Incyte, Novartis, Seattle Genetics, Roche S. Assouline Consultant or advisory role: Abbvie, Roche, AstraZeneca, BMS, Paladin, Novartis, Pfizer, Janssen Honoraria: Abbvie, Roche, AstraZeneca, BMS, Paladin, Novartis, Pfizer, Janssen Research funding: Novartis N. Lamanna Consultant or advisory role: Abbvie, AstraZeneca, BeiGene, Eli Lilly/Loxo, Genentech, Janssen, Pharmacyclics Research funding: Abbvie, AstraZeneca, BeiGene, Eli Lilly/Loxo, Genentech, MingSight, Octapharma, Oncternal, TG Therapeutics T. Robak Employment or leadership position: Medical University of Lodz, Copernicus Memorial Hospital, Lodz, Poland Consultant or advisory role: AstraZeneca, BeiGene Honoraria: Abbvie, Janssen, AstraZeneca, BeiGene, Regeneron, Octapharma Research funding: Abbvie, Janssen, AstraZeneca, BeiGene, Regeneron, Octapharma Educational grants: Janssen, AstraZeneca U. Jaeger Honoraria: Roche G. Cartron Consultant or advisory role: Roche, Celgene, Mabqi, MedxCell Honoraria: Gilead Sciences, Janssen, Celgene, Roche, AbbVie, Novartis Educational grants: Roche M. Montillo Employment or leadership position: Consultant in Haematology Honoraria: Abbvie, Janssen C. Mellink Employment or leadership position: Cytogeneticist, Human Genetics, AUMC Amsterdam Research funding: Financing for array-analysis Murano sample B. Chyla Employment or leadership position: AbbVie Stock ownership: AbbVie M. Thadani-Mulero Employment or leadership position: Roche Stock ownership: Roche M. Lefebure Employment or leadership position: Roche Stock ownership: Roche Y. Jiang Employment or leadership position: Roche/GNE Stock ownership: Roche/GNE R. Millen Employment or leadership position: Roche; Ended employment in the past 24 months- Hubrecht Institute Honoraria: Hubrecht Institute Research funding: Oncode Institute M. Boyer Employment or leadership position: Roche Stock ownership: Roche Honoraria: Roche J. F. Seymour Consultant or advisory role: AbbVie, AstraZeneca, BeiGene, BMS, Genor Bio, Gilead, Janssen, Roche, TG Therapeutics Honoraria: AbbVie, AstraZeneca, BeiGene, BMS, Gilead, Janssen, Roche Research funding: AbbVie, BMS, Janssen, Roche Educational grants: AbbVie, AstraZeneca, Roche Other remuneration: Speaker’s Bureau- AbbVie, AstraZeneca, Roche; Patents, royalties, other intellectual property- AbbVie; Expert testimony- BMS, TG Therapeutics

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,473
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,303
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueHematological OncologyMême sujetChronic Lymphocytic Leukemia ResearchTravaux en français237 207