Real-World Effectiveness of Bortezomib Plus Dexamethasone in Patients with t(11;14) Positive Multiple Myeloma
Notice bibliographique
Résumé
Abstract Background: Initial studies with venetoclax, a BCL-2 inhibitor, alone or in combination with either dexamethasone or bortezomib and dexamethasone has shown considerable anti-tumor activity in t(11;14) MM with relapsed disease. Based on preclinical studies suggesting synergy when combined with bortezomib and phase 1 data showing efficacy for venetoclax, this combination was compared with bortezomib and dexamethasone (BortDex) in relapsed MM. While the BELLINI (NCT02755597) trial did demonstrate improved PFS with the combination, there were limited number of patients with t(11;14) treated with BortDex. The objective of this study was to assess real-world effectiveness of BortDex in patients with t(11;14) positive relapsed/refractory MM. Patients and methods: This non-interventional, retrospective observational cohort study included patients with t(11;14) MM from the International Myeloma Working Group (IMWG) retrospective study of t(11;14) MM. From the overall cohort, patients with t(11;14) MM receiving BortDex in ≥2 nd and ≤4 th line were initially selected. The cohort was further limited to patients with no evidence of allogeneic SCT within 16 weeks or autologous SCT within 12 weeks prior to BortDex initiation. Finally, patients non-refractory to prior PI regimen and not receiving BortDex regimen as part of a clinical trial were included in the study. Patient demographic and clinical characteristics along with real-world effectiveness outcomes including best response, overall survival (OS), and time to next therapy (TTNT) as a surrogate measure for progression-free survival (PFS) were assessed. All analyses were descriptive in nature and were conducted using the SAS 9.4 (SAS Institute Inc., Cary, NC, USA). Results: Overall, 144 patients who met the inclusion criteria were analyzed. Median age was 62.5 years, 62% were male. Patients had a median of 1 prior line (range 1-3) at start of BortDex, at a median of 18.4 months (range, 1-100) from diagnosis; 29% had a prior transplant. A PR or better was observed in 53% of patients with BortDex. The median TTNT for this cohort was 8.4 months and median OS was 46.1 months. Conclusions: This retrospective study of non-trial patients with t(11;14) MM provides a benchmark for newer therapies in this patient population for comparison with both venetoclax dexamethasone as well as combinations using the -BortDex backbone. Disclosures Emechebe: AbbVie: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company; Pharmaceutical/Biotech Companies: Current holder of stock options in a privately-held company. Kumar: Tenebio: Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Carsgen: Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche-Genentech: Consultancy, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Beigene: Consultancy; Antengene: Consultancy, Honoraria; Bluebird Bio: Consultancy; Merck: Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; BMS: Consultancy, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding. Goldschmidt: Takeda: Consultancy, Research Funding; Novartis: Honoraria, Research Funding; Mundipharma: Research Funding; MSD: Research Funding; Molecular Partners: Research Funding; Dietmar-Hopp-Foundation: Other: Grant; Sanofi: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Janssen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Incyte: Research Funding; GSK: Honoraria; Chugai: Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; BMS: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Celgene: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Adaptive Biotechnology: Consultancy; Amgen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Johns Hopkins University: Other: Grant. Mateos: Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Regeneron: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria; Sea-Gen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene - Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bluebird bio: Honoraria; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Honoraria; Oncopeptides: Honoraria. Kim: Janssen, BMS: Research Funding. Dimopoulos: Janssen: Honoraria; Takeda: Honoraria; Beigene: Honoraria; BMS: Honoraria; Amgen: Honoraria. Ludwig: Janssen, Celgene-BMS, Sanofi, Seattle Genetics: Consultancy, Speakers Bureau; Amgen, Takeda: Consultancy, Research Funding, Speakers Bureau. Handa: Kyowa Kirin: Research Funding; Chugai: Research Funding; Celgene: Honoraria, Research Funding; Daiichi Sankyo: Research Funding; Janssen: Honoraria; BMS: Honoraria; Ono: Honoraria; Sanofi: Honoraria, Research Funding; Abbvie: Honoraria; MSD: Research Funding; Shionogi: Research Funding; Takeda: Honoraria, Research Funding. Fernandez de Larrea: Janssen: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Takeda: Honoraria, Research Funding; GSK: Honoraria; Sanofi: Consultancy. Reece: Amgen: Consultancy, Honoraria; GSK: Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Sanofi: Honoraria; Millennium: Research Funding; Karyopharm: Consultancy, Research Funding; BMS: Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding. Raje: Celgene, Amgen, Bluebird Bio, Janssen, Caribou, and BMS: Other. Karve: AbbVie: Current Employment, Current equity holder in publicly-traded company. Arriola: AbbVie: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Ross: AbbVie: Current Employment, Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company. Durie: Amgen: Other: fees from non-CME/CE services ; Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy.
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 | 0,001 | 0,002 |
| 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 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».