Deep and Durable Responses with Selinexor, Daratumumab, and Dexamethasome (SDd) in Patients with Multiple Myeloma (MM) Previously Exposed to Proteasome Inhibitors and Immunomodulatory Drugs: Results of Phase 1b Study of SDd
Notice bibliographique
Résumé
Abstract Introduction - Selinexor is a first-in-class Selective Inhibitor of Nuclear Export (SINE) compound that binds and inactivates Exportin 1 (XPO1). Selinexor with low dose dexamethasone (Sd) or in with protesome inhibitors (PIs) or immunomodulatory drugs (IMiDs), has shown anti-MM activity in patients (pts) with relapsed or refractory MM. Daratumumab (Dara), an anti-CD38 mAb, is approved for the treatment of heavily pretreated MM is limited by short PFS and an ORR of ~21% in quad-refractory MM. Selinexor in combiniation with dara have shown preclinical synergistic killing of MM cells. Methods - Pts were eligible if they had received ≥ 3 prior lines of anti-myeloma therapy, including a PI and an IMiD. Selinexor was dose-escalated in 2 concurrent cohorts: once-weekly (QW, at 100 mg) or twice-weekly (BIW, at 60 mg). Dara was 16 mg/kg IV (recommended schedule) and dexamethasone (dex) was 40 mg QW or 20 mg BIW. The objectives were to determine the maximum tolerated dose (MTD), recommended phase 2 dose (RP2D), safety, tolerability and preliminary efficacy of the combination of this SDd combination in pts with PI/IMiD refractory MM Results - As of Jul 20th2018, 25 pts (11 males / 14 females) have been enrolled. Three pts have been enrolled into the 60 mg BIW and 22 pts in the 100 mg QW cohorts. Pts have a median age of 68 years and a median of 3 (range, 2 - 10) prior treatment regimens. Common SDd treatment related adverse events included (all grades, grades 3/4): thrombocytopenia (58%, 42%), leukopenia (54%, 38%), anemia (46%, 29%), nausea (50%, 0%) and fatigue (46%, 8%). Two dose limiting toxicities (DLTs) were reported in the 60 mg BIW cohort: G3 thrombocytopenia and G2 fatigue requiring dose reduction in selinexor to 100 mg QW. In the 100 mg QW escalation cohort, 6 pts enrolled, 5 evaluable, with no DLTs. This cohort was expanded and enrollment is ongoing. A total of 21 pts were evaluable for response. In 19 dara-naïve pts, the ORR was 74% (5 VGPR, 9 PR, 2 MR, 2 SD, 1 PD), including 3 unconfirmed PRs, 1 unconfirmed MR. In the 2 pts with dara refractory MM, there was one PD and one SD. The longest duration of therapy is 13 months. Based on tolerability and efficacy, the RP2D of SDd is selinexor 100 mg, daratumumab 16 mg/kg and dex 40 mg, administered QW. Conclusions - Selinexor 100 mg QW can be combined safely with dara (per approved dosing) and dex. The preliminary ORR of 74% with SDd in patients with PI/IMiD refractory MM who are dara naïve is promising and compares favorably to 21% ORR of Dara and Sd in quad refractory myeloma. This once weekly regimen is well tolerated with no major organ toxicities to date. Data from the full phase 1 dose expansion will be presented. Disclosures Gasparetto: Takeda: Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Other: Travel; Janssen: Consultancy, Honoraria, Other: Travel; Celgene: Consultancy, Honoraria, Other: Travel, Research Funding. Schiller:Celator/Jazz Pharmaceuticals: Research Funding; Pharmacyclics: Research Funding. Bensinger:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; amgen: Speakers Bureau; Takeda: Speakers Bureau. Bahlis:Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria. White:Amgen, Celgene, Janssen, Takeda: Honoraria. Sebag: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; 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. Venner:Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria; Takeda: Honoraria. Leblanc: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; 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. Chen:Amgen: Honoraria. 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. Lipe:Celgene: 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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».