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Enregistrement W2905066255 · doi:10.1182/blood-2018-99-117349

Selinexor Plus Pomalidomide and Low Dose Dexamethasone (SPd) in Patients with Relapsed or Refractory Multiple Myeloma

2018· article· en· W2905066255 sur OpenAlexaffabout
Christine I. Chen, Heather J. Sutherland, Rami Kotb, Michaël Sébag, Darrell White, William Bensinger, Cristina Gasparetto, Richard LeBlanc, Christopher P. Venner, Suzanne Lentzsch, Gary J. Schiller, Brea Lipe, Aldo Del Col, Jatin J. Shah, Jacqueline Jeha, Jean‐Richard Saint‐Martin, Michael Kauffman, Sharon Shacham, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueNuclear Structure and Function
Établissements canadiensUniversity of CalgaryHôpital Maisonneuve-RosemontQueen Elizabeth II Health Sciences CentreCancerCare ManitobaVancouver General HospitalDalhousie UniversityRoyal Victoria HospitalPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésPomalidomideLenalidomideTolerabilityMedicineMultiple myelomaInternal medicineRefractory (planetary science)DexamethasoneOncologyCarfilzomibIxazomibDosingNeutropeniaPharmacologyAdverse effectGastroenterologyToxicityBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction - The nuclear export protein exportin 1 (XPO1) is overexpressed in a wide variety of cancers including multiple myeloma (MM). Selinexor is a first-in-class Selective Inhibitor of Nuclear Export (SINE) compound that binds and inactivates XPO1. Selinexor forces nuclear retention and reactivation of cell cycle regulators such as p53, IkB, and Rb. Pomalidomide/dexamethasone (Pd) is approved in relapsed/refractory MM (RRMM)with an overall response rate (ORR) of 30% and progression-free survival (PFS) rate of <4 months in patients (pts) having received a prior proteasome inhibitor (PI) and IMiD. Strategies to improve the ORR and PFS are needed. In murine MM models, the combination of selinexor with IMiDs shows synergistic anti-MM activity and good tolerability. Methods- Pts with RRMM who received ≥ 2 prior therapies including lenalidomide (len) and a PI were enrolled. Selinexor was evaluated in 2 different dosing schedules of once-weekly (QW, 60 or 80 mg) or twice-weekly (BIW, 60 or 80 mg), with pomalidomide (pom)3 or 4 mg PO daily, and dexamethasone (dex) 20 mg BIW or 40 mg QW. The primary objectives were to determine the maximum tolerated dose (MTD), recommended phase 2 dose (RP2D), safety, and preliminary efficacy of the combination of selinexor, pomalidomide, and low dose dex (SPd) in pts with RRMM. Results- As of July 20th2018, 34 pts (16 male / 18 female) have been enrolled. The median age is 61 years and patients received a median of 4 (range, 2 - 9) prior treatment regimens. Thirty-two patients were IMiD refractory (21 len, 11 pom/len). Six dose limiting toxicities (DLTs) were observed: G3 fatigue (60 mg BIW, pom 4 mg), G3 febrile neutropenia (FN) (60 mg BIW, pom 3 mg), G3 FN and G4 neutropenia (80 mg QW, pom 4), G3 thrombocytopenia (80 mg QW, pom 3 mg) and 4 missed doses in Cycle 1 due to symptomatic hyponatremia (80 mg BIW, pom 4 mg). Enrollment on selinexor 80 mg QW, pom 3 mg is ongoing. Common SPd treatment related adverse events included (all grades, grades 3/4): neutropenia (62%, 56%), thrombocytopenia (59%, 32%), anemia (53%, 29%), anorexia (56%, 0%), fatigue (50%, 9%), nausea (47%, 0% ). Thirty pts were evaluable for response, which is outlined in Table 1. Median PFS is 10.3 months with a median follow up of 9.4 months. Conclusions- Enrollment is ongoing to evaluate once weekly selinexor in combination with Pd , (SPd). This all-oral SPd combination has clinical activity with an ORR 55% in pom-naive pts with heavily pretreated MM compared to previously published data of 30% ORR for Pd alone. Similarly, the PFS on SPd is 10.3 months vs. <4 months for Pd alone. No unexpected adverse events were noted. Phase 1 dose escalation of the combination of SPd is ongoing to define the optimal RP2D. Disclosures Chen: Amgen: Honoraria. Sebag:Janssen Inc.: Membership on an entity's Board of Directors or advisory committees; Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Membership on an entity's Board of Directors or advisory committees. White:Amgen, Celgene, Janssen, Takeda: Honoraria. Bensinger:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Speakers Bureau; celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; amgen: Speakers Bureau. Gasparetto:Bristol-Myers Squibb: Consultancy, Honoraria, Other: Travel; Janssen: Consultancy, Honoraria, Other: Travel; Takeda: Honoraria; Celgene: Consultancy, Honoraria, Other: Travel, Research Funding. Leblanc:Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Janssen Inc.: Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees. Venner:Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria; Takeda: Honoraria. Schiller:Pharmacyclics: Research Funding; Celator/Jazz Pharmaceuticals: Research Funding. Lipe:Celgene: Consultancy. Shah:Karyopharm Therapeutics: Employment. Jeha:Karyopharm Therapeutics: Employment. Saint-Martin:Karyopharm Therapeutics: Employment. Kauffman:Karyopharm Therapeutics: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Shacham:Karyopharm Therapeutics: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Bahlis:Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding.

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 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 enseignants0,362
Score d'incertitude au seuil0,359

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,005
Tête enseignante GPT0,203
Écart entre enseignants0,198 · 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.

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

Citations5
Publié2018
Routes d'admission2
Résumé présentoui

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