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Enregistrement W3097818908 · doi:10.1182/blood-2020-137154

Once Weekly Selinexor, Bortezomib, and Dexamethasone (SVd) Versus Twice Weekly Bortezomib and Dexamethasone (Vd) in Relapsed or Refractory Multiple Myeloma: High-Risk Cytogenetic Risk Planned Subgroup Analyses from the Phase 3 Boston Study

2020· article· en· W3097818908 sur OpenAlexaff
Shambavi Richard, Ajai Chari, Sosana Delimpasi, Maryana Simonova, Ivan Špıčka, Luděk Pour, Irina Kryachok, Meletios Α. Dimopoulos, Halyna Pylypenko, Holger W. Auner, Xavier Leleu, Vadim Doronin, Ganna Usenko, Roman Hájek, Reuben Benjamin, Tuphan Kanti Dolai, Dinesh Kumar Sinha, Christopher P. Venner, Mamta Garg, Don A. Stevens, Hang Quach, Sundar Jagannath, Philippe Moreau, Moshe Levy, Ashraf Badros, Larry D. Anderson, Nizar J. Bahlis, Thierry Façon, María‐Victoria Mateos, Michèle Cavo, Hua Chang, Yosef Landesman, Anita Joshi, Yi Chai, Melina Arazy, Jatin J. Shah, Sharon Shacham, Michael Kauffman, Sebastian Grosicki, Paul G. Richardson

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensInstitute of Cancer ResearchUniversity of CalgaryUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésBortezomibDexamethasoneMultiple myelomaMedicineOncologyInternal medicineRefractory (planetary science)Biology

Résumé

récupéré en direct d'OpenAlex

Introduction: Despite recent advances, there remains an unmet need for novel therapies to improve outcomes and abrogate the adverse effects of high-risk cytogenetics in patients with multiple myeloma (MM). In patients with triple class refractory MM in the Phase 2b STORM study, the clinical benefit of selinexor plus low dose dexamethasone (sel-dex) was preserved across high-risk cytogenetic subgroups, supporting further evaluation of selinexor combined with other anti-MM therapies (Nooka et al. ASH 2019). The phase 3 BOSTON study evaluated the combination of weekly sel-dex with the proteasome inhibitor (PI) bortezomib (SVd) against standard twice weekly bortezomib-dex (Vd) in patients with MM who had received 1-3 prior therapies. SVd significantly improved progression free survival (PFS), time to next therapy (TTNT), overall response rate (ORR) and depth of response (≥VGPR), while inducing less overall and grade ≥2 peripheral neuropathy (PN) compared with Vd. Here, we present the results of prespecified subgroup analyses from the BOSTON study according to cytogenetic risk status. Methods: In the BOSTON study, patients were randomly assigned (1:1) to once weekly oral sel (100 mg) plus once weekly subcutaneous (SC) bortezomib (1.3 mg/m2) and dex (20 mg BIW) in the SVd arm or twice weekly SC bortezomib (1.3 mg/m2) and dex (20 mg QIW) in the Vd arm. Treatment was administered in both arms until disease progression. The primary endpoint was PFS, as assessed by an Independent Review Committee (IRC). Central FISH analyses were performed on CD138+ sorted cells from bone marrow aspirates collected at screening. The high-risk group consisted of patients with at least 1 of the following abnormalities: del(17p), t(4;14), t(14;16), and amplification of 1q21 in ≥10% of screened plasma cells with amp (1q21) requiring ≥3 copies. The standard-risk group consisted of all other patients with available and known baseline cytogenetics. Results: Of the 402 enrolled patients, 192 (48%) had high-risk (SVd=97, Vd=95) and 210 (52%) had standard-risk (SVd=98, Vd=112) cytogenetics. Baseline patient and disease characteristics were well balanced across treatment arms. SVd significantly improved PFS relative to Vd in the high-risk (12.9 vs 8.1 months; HR, 0.67; 95% CI, 0.45-0.98; P=0.0192) and standard-risk (16.6 vs 9.7 months; HR, 0.63; 95% CI, 0.42-0.95; P=0.0131) groups. Time to next treatment was significantly increased with SVd in the high-risk (14.6 vs 8.7 months; P=0.0049) and standard risk groups (NR vs 13.1 months; P=0.0158). The ORR was significantly improved with SVd in the high-risk group (77.3% vs 55.8%; P=0.0008) and numerically improved in the standard-risk group (75.5% vs 67.9%; P=0.11) with comparable rates between the high-risk and standard-risk groups in the SVd arm. Very good partial response or better was achieved in 42.3% patients on SVd versus 24.2% on Vd (P=0.0041) and 46.9% on SVd versus 39.3% on Vd (P=0.13) in the high-risk and standard-risk groups, respectively. Overall survival was 23.5 months in the high-risk group in the Vd arm and was not reached in the other groups. Efficacy by specific cytogenetics abnormalities in the high-risk subgroup is shown in the table below. PFS and ORR were improved with SVd compared with Vd across all subgroups except t(14;16) which was the smallest subgroup (N=18, 4% of the study population). There were 61 deaths in the high-risk group (SVd=27 and Vd=34) versus 48 in the standard-risk group (SVd=20 and Vd=28). The safety profiles of SVd and Vd in the high-risk and standard-risk groups were consistent with the overall population. Rate of grade ≥2 peripheral neuropathy was lower with SVd compared with Vd in both the high-risk (26.8% vs 32.3%; P=0.18) and standard-risk groups (15.3% vs 36.0%; P=0.0003). Conclusions: These prespecified subgroup analyses from the BOSTON study demonstrate that despite utilizing 40% less bortezomib and 25% less dexamethasone during the first 24-weeks of treatment, SVd is superior to Vd in patients with MM including high-risk patients. The PFS benefit was particularly notable in patients with del(17p), t(4;14) and amp(1q21) abnormalities. The ORR was comparable between the high-risk and standard-risk groups in the SVd arm. These data support the use of selinexor, with its novel mechanism of action, in the treatment of patients with early relapsed MM, including those with high risk cytogenetic abnormalities. Figure 1 Disclosures Chari: Secura Bio: Consultancy; Novartis: Honoraria; Seattle Genetics: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Oncopeptides: Consultancy; Adaptive Biotechnology: Honoraria; The Binding Site: Honoraria; Bristol Myers Squibb: Consultancy; Pharmacyclics: Research Funding; Sanofi Genzyme: Consultancy; Karyopharm: Consultancy; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Antengene: Consultancy; Amgen: Consultancy, Research Funding; Array BioPharma: Honoraria; Glaxo Smith Kline: Consultancy. Delimpasi:GENESIS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Spicka:Celgene, Amgen, Janssen-Cilag, Takeda, Bristol-Myers Squibb, Novartis, Sanofi: Consultancy, Honoraria, Speakers Bureau. Kryachok:Takeda, Janssen: Consultancy; Janssen, Bayer, Karyopharm, MSD, Acerta, AvbbVie, Debiopharm: Research Funding; Takeda, Janssen, Novartis, Roche, MSD, Bayer: Consultancy, Research Funding; Takeda, MSD, AbbVie, Ro: Other: Travel, accommodations, expenses. Dimopoulos:BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau. Auner:Karyopharm: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria. Leleu:Oncopeptide: Honoraria; Incyte: Honoraria; Merck: Honoraria; Carsgen: Honoraria; Amgen: Honoraria; Karyopharm: Honoraria; Sanofi: Honoraria; GSK: Honoraria; AbbVie: Honoraria; Janssen: Honoraria; BMS-celgene: Honoraria; Novartis: Honoraria. Hajek:Novartis: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharma MAR: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Oncopeptides: Consultancy, Honoraria, Research Funding. Sinha:Dr Reddys Lab, Intas Pharmaceuticals, Karyopharm Therapeutics: Honoraria. Venner:Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria; Celgene, Amgen: Research Funding. Garg:Janssen, Takeda, Celgene, Novartis, Sanofi: Honoraria. Stevens:Amgen, MorphoSys: Consultancy. Quach:GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Honoraria; GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Consultancy; Amgen, Celgene, karyopharm, GSK, Janssen Cilag, Sanofi.: Membership on an entity's Board of Directors or advisory committees; Amgen, sanofi, celgene, Karyopharm, GSK: Research Funding. Jagannath:Takeda: Consultancy, Honoraria; Legend Biotech: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria. Moreau:Amgen: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Honoraria; Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Novartis: Honoraria. Levy:Bristol Meyers Squibb: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; BeiGene: Consultancy, Research Funding, Speakers Bureau; Baylor University Med Center: Current Employment; Amgen: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding. Badros:University of Maryland: Current Employment; Amgen: Consultancy. Anderson:Amgen: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; GSK: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding. Bahlis:Sanofi: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; Genentech: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; GSK: Consultancy, Honoraria; BMS/Celgene and Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Research Funding; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Facon:Celgene, Janssen, Takeda, Amgen, Roche, Karyopharm, Oncopeptides, BMS, Sanofi: Membership on an entity's Board of Directors or advisory committ

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,004
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,084
Tête enseignante GPT0,356
Écart entre enseignants0,272 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
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

Citations5
Publié2020
Routes d'admission1
Résumé présentoui

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