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Enregistrement W3214324911 · doi:10.1182/blood-2021-146324

Effects of Cytogenetic Risk on Outcomes in Multiple Myeloma Treated with Selinexor, Bortezomib, and Dexamethasone (XVd)

2021· article· en· W3214324911 sur OpenAlexaff
Nizar J. Bahlis, Shambavi Richard, Darrell White, Sebastian Grosicki, Christine Chen, Sosana Delimpasi, Heather J. Sutherland, Zvenyslava Maslyak, Michaël Sébag, Maria Gavriatopoulou, Suzanne Lentzsch, Ajai Chari, Maryana Simonova, Ivan Špıčka, Iryna Kriachok, Meletios Α. Dimopoulos, Halyna Pylypenko, Holger W. Auner, Xavier Leleu, 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, Thierry Façon, María‐Victoria Mateos, Michèle Cavo, Andrew DeCastro, Yi Chai, Dane R. Van Domelen, Moran Mishal, Ohad S. Bentur, Jatin J. Shah, Sharon Shacham, Michael Kauffman, Paul G. Richardson

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensVancouver General HospitalPrincess Margaret Cancer CentreRoyal Victoria HospitalDalhousie UniversityUniversity of AlbertaQueen Elizabeth II Health Sciences CentreInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMultiple myelomaBortezomibDexamethasoneInternal medicineMedicineOncologyCytogeneticsProgression-free survivalChemotherapyBiologyChromosome

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Patients with multiple myeloma (MM) have a high rate of relapse resulting in a need for multiple lines of therapy. In contrast to MM with standard risk cytogenetics (SR-Cyto), high-risk cytogenetics (HR-Cyto) in MM such as del(17p), t(4;14), t(14;16), and gain(1q) (≥3 copies), can result in shorter progression-free survival (PFS) and overall survival (OS) with less durable responses. Treatment regimens that can overcome the negative effect of HR-Cyto abnormalities are required to address this area of unmet medical need. Exportin 1 (XPO1), is overexpressed in many hematologic and solid tumor malignancies including MM, and exports tumor suppressor proteins from the nucleus to the cytoplasm, leading to their inactivation. Elevated levels of XPO1 are correlated with more aggressive MM and resistance to therapy and confers a poor prognosis. The potent oral XPO1 inhibitor, selinexor, has been approved as a triplet combination with bortezomib and dexamethasone for previously-treated MM. In the Phase 3 BOSTON study, treatment with XVd in patients with previously treated MM significantly prolonged median PFS and improved the overall response rate (ORR), with a trend towards a prolonged OS amongst all patients as well as those with HR cytogenetics. Methods: We performed post hoc analyses on patients with previously-treated MM from the XVd arm of the Phase 1b/2 study STOMP (NCT02343042) and the Phase 3 BOSTON (NCT03110562) study to determine the effects of cytogenetic abnormalities on outcomes. The HR-Cyto group included patients with at least one of the following cytogenetic abnormalities at initial diagnosis or screening: del(17p), t(4;14), t(14;16), or gain(1q) (≥3 copies). Efficacy was based on independent review committee. Results: A total of 106 patients with HR-Cyto were identified, including del(17p) (n=25), t(4;14) (n=25), t(14;16) (n=10), and gain(1q) (n=80). There were 131 patients classified as SR-Cyto including those with unknown cytogenetics. Baseline demographics were similar between groups with median age of 66 years old (range 40-87). Patients with HR-Cyto had a median PFS of 12.9 months and patients with SR-Cyto had a median PFS of 16.6 months; PFS on the BOSTON Vd control arm were 8.6 and 9.5 months with HR- and SR-Cyto, respectively. Of the individual abnormalities, a PFS of 13.2 and 13.9 months was observed in the t(4;14) and gain1q subgroups, respectively. Of the HR-Cyto subgroups with more than 10 patients, a similar median OS was observed in comparison to SR-Cyto and ranged from 20.4 months to not reached. The response of XVd treatment was maintained across HR-Cyto risk subgroups, with an ORR of 76.4% overall and the following values for subgroups: del(17p) (72.0%), t(4;14) (88.0%), and gain1q (73.8%). The ORR of the SR group was 69.5%. Of all patients that received XVd, there were 6 CRs (5.7%) and 32 VGPRs (30.2%) in the HR group and 9 CRs (6.9%) and 29 VGPRs (22.1%) in the SR group. The ORRs on the BOSTON Vd control arm were 57.7% and 64.7% for HR- and SR-Cyto, respectively. The rates of the most common treatment emergent adverse events (TEAEs) of any grade were similar across risk groups (HR- vs SR-Cyto): thrombocytopenia (65.1% vs. 54.2%), nausea (53.8% vs. 53.4%), fatigue (47.2% vs. 45.0%) decreased appetite (37.7% vs. 42.0%) and anemia (34.6% vs 40.5%). Rates of AEs of any grade peripheral neuropathy (PN) were 35.8% overall, 40.0% in del(17p), t(4;14) (40.0%), t(14;16) (30.0%), gain(1q) (38.8%), and 23.7% in the SR group. The rates of PN in the HR and SR groups of the XVd arm of the BOSTON and STOMP studies were 37.1% and 29.6% and 11.1% and 15.2%, respectively. The corresponding rates for Vd alone in the BOSTON study were 48.6% and 47.0%. Conclusions: Patients with MM with HR-Cyto treated with XVd demonstrated a comparable ORR and PFS, with a manageable safety profile compared to patients with SR-Cyto, supporting the use of XVd in patients with any cytogenetic profile. These results are consistent with the distinct and broad mechanism of action associated with XPO1 inhibition and the use of the agent in earlier lines of therapy. Further assessment of selinexor in combination with other therapies in patients with MM across the entire cytogenetic spectrum is warranted. Figure 1 Figure 1. Disclosures Bahlis: Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Genentech: Consultancy; BMS/Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria. Richard: Karyopharm, Janssen: Honoraria. White: Amgen, Antengene, BMS/Celgene, Forus, GSK, Janssen, Karyopharm, Sanofi, Takeda: Consultancy, Honoraria. Chen: Gilead: Research Funding; BMS, Janssen, Abbvie, Novartis, Gilead, AstraZeneca: Consultancy. Delimpasi: Amgen: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau. Sutherland: Amgen: Consultancy; Janssen: Consultancy, Research Funding; GSK: Research Funding; Celgene: Consultancy; Karyopharm: Research Funding. Sebag: Janssen: Research Funding; Bristol Myers-Squibb: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria. Gavriatopoulou: GSK: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Genesis: Honoraria; Sanofi: Honoraria; Karyopharm: Honoraria; Amgen: Honoraria. Lentzsch: Oncopeptides: Consultancy; Sanofi: Consultancy, Research Funding; Karyopharm: Consultancy, Research Funding; Takeda: Consultancy; GSK: Consultancy; AbbVie: Consultancy; Celularity: Consultancy; Janssen: Consultancy; Caelum Biosciences: Consultancy, Current holder of individual stocks in a privately-held company; Ossium Health: Consultancy; Magenta Therapeutics: Current equity holder in publicly-traded company; Kadmon: Current equity holder in publicly-traded company. Chari: Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Genzyme: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Research Funding; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Secura Bio: Consultancy, Membership on an entity's Board of Directors or advisory committees; Shattuck Labs: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millenium/Takeda: Consultancy, Research Funding; Pharmacyclics: Research Funding; Janssen Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kriachok: Takeda, Roche, Abbvie, Janssen, MSD, Pfizer: Honoraria, Speakers Bureau; Takeda, Roche, Abbivie, Janssen, MSD: Consultancy. Dimopoulos: BMS: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Beigene: Honoraria. Auner: Janssen: Speakers Bureau; Amgen: Research Funding; Takeda, Karyopharm: Other: Advisory role. Leleu: Bristol-Myers Squibb: Honoraria; Carsgen Therapeutics Ltd: Honoraria; Celgene: Honoraria; Gilead Sciences: Honoraria; Janssen-Cilag: Honoraria; Karyopharm Therapeutics: Honoraria; Merck: Honoraria; Mundipharma: Honoraria; Novartis: Honoraria; Oncopeptides: Honoraria; Pierre Fabre: Honoraria; Roche: Honoraria; Sanofi: Honoraria; Amgen: Honoraria; AbbVie: Honoraria; Takeda: Honoraria, Other: Non-financial support. Usenko: Janssen: Consultancy, Honoraria, Other: Clinical Trials Investigator; AbbVie: Consultancy, Honoraria, Other: Clinical Trials Investigator; Pfizer: Consultancy, Honoraria; Acerta: Other: Clinical Trials Investigator; Ascentage: Other: Clinical Trials Investigator; Celgene: Other: Clinical Trials Investigator; Il-Yang: Other: Clinical Trials Investigator; Karyopharm: Other: Clinical Trials Investigator; Oncopeptides: Other: Clinical Trials Investigator; Rigel: Other: Clinical Trials Investigator; Takeda: Other: Clinical Trials Investigator; UCB: Other: Clinical Trials Investigator. Hajek: Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharma MAR: Consultancy, Honoraria; Novartis: Consultancy, Research Funding; AbbVie: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding. Venner: Janssen: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Celgene: Resear

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,015
Tête enseignante GPT0,267
Écart entre enseignants0,252 · 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'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

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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