A Phase 1b/2 Study of Selinexor, Carfilzomib, and Dexamethasone (SKd) in Relapsed/ Refractory Multiple Myeloma (RRMM)
Notice bibliographique
Résumé
Introduction: Selinexor is a novel, first-in-class selective inhibitor of nuclear export (SINE), which blocks XPO1, forcing the nuclear retention and activation of tumor suppressor proteins. Selinexor in combination with low dose dexamethasone (Sel-dex) was recently approved based on data from the STORM study, wherein Sel-dex induced an overall response rate (ORR) of 26.2% in patients with penta-exposed, triple-class refractory multiple myeloma (MM). The recommended phase 2 dose (RP2D) of twice-weekly combination of selinexor, carfilzomib, and dexamethasone (SKd) was selinexor 60 mg, carfilzomib 20/27 mg/m2 and dexamethasone 20 mg (NCT02199665). The ORR of this regimen in patients with MM refractory to carfilzomib in last line of therapy (n=13) was 62% and clinical benefit response was 77% (Jakubowiak et al. Br J Haematol 2019). This is consistent with data from the combination of selinexor, bortezomib and dexamethasone where a 43% ORR was observed in bortezomib refractory disease. We conducted the STOMP study to assess the safety and preliminary efficacy of SKd combination using once weekly (QW) dosing in patients with relapsed/refractory MM. Methods: STOMP is a multicenter, open-label study. Patients with relapsed/refractory MM that was not refractory to carfilzomib, and who may have had prior proteasome inhibitor exposure were enrolled. Oral Selinexor was dosed QW at 80 or 100 mg. Carfilzomib was dosed QW (excluding day 22 of 28-day cycle) at 56 mg/m2 or 70 mg/m2. Dexamethasone was dosed at 40 mg QW. The primary objectives of the study are to assess the maximum tolerated dose, RP2D and evaluate the efficacy and safety of SKd in patients with relapsed/refractory MM. Results: As of July 01 2019, 12 patients were enrolled in the study. Of these, 5 were male and 7 were female. The median age was 70 years (range: 50-76 years). The median number of prior treatments was 4 (range: 2 - 8). Nine of 12 patients received prior autologous stem cell transplantation. All 12 patients were carfilzomib naïve. Nine of 12 patients had MM refractory to bortezomib; 11 patients had MM refractory to lenalidomide and/or pomalidomide including 5 patients with MM refractory to both; and 7 patients with MM refractory to daratumumab. Four dose limiting toxicities (DLTs) were observed across 3 dose cohorts (Table 1). Common treatment related adverse events (Grade 1/2 , Grade ≥3) included anemia (42%, 17%), thrombocytopenia (17%, 58%), leukopenia (17%, 17%), nausea (67%, 0%), decreased appetite (33%, 0%), insomnia (33%, 0%), hyperglycemia (25%, 17%), fatigue (25%, 8%), vomiting (25%, 8%), and pneumonia (0%, 17%). The ORR was 75% including 3 complete responses, 5 very good partial responses and 1 partial response. Two patients had stable disease and 1 patient had minimal response. As of July 01, 8 patients remain on treatment. Conclusions: The once weekly SKd combination demonstrated encouraging preliminary activity with an ORR of 75% including complete responses and very good partial responses. Most DLTs were thrombocytopenia and all the DLT events occurred in patients with baseline Grade 1/2 thrombocytopenia. This activity and manageable side effect profile with QW selinexor in combination with carfilzomib and dexamethasone is promising. Disclosures Gasparetto: Celgene: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; BMS: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; Janssen: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed . Schiller:Gilead: Research Funding; Incyte: Research Funding; J&J: Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Karyopharm: Research Funding; Novartis: Research Funding; Onconova: Research Funding; Pfizer Pharmaceuticals: Equity Ownership, Research Funding; Sangamo Therapeutics: Research Funding; Daiichi Sankyo: Research Funding; Eli Lilly and Company: Research Funding; FujiFilm: Research Funding; Genzyme: Research Funding; Agios: Research Funding, Speakers Bureau; Amgen: Other, Research Funding; Constellation Pharmaceutical: Research Funding; Astellas: Research Funding; Biomed Valley Discoveries: Research Funding; Bristol Myer Squibb: Research Funding; Celgene: Research Funding, Speakers Bureau. Lentzsch:Caelum Biosciences: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy; Janssen: Consultancy; Takeda: Consultancy; BMS: Consultancy; Proclara: Consultancy; Abbvie: Consultancy; Clinical Care Options: Speakers Bureau; Sanofi: Consultancy, Research Funding; Multiple Myeloma Research Foundation: Honoraria; International Myeloma Foundation: Honoraria; Karyopharm: Research Funding; Columbia University: Patents & Royalties: 11-1F4mAb as anti-amyloid strategy. Tuchman:Roche: Research Funding; Alnylam: Honoraria, Research Funding; Karyopharm: Honoraria; Prothena: Research Funding; Celgene: Honoraria, Research Funding, Speakers Bureau; Amgen: Research Funding; Sanofi: Research Funding; Merck: Research Funding. Bahlis:Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. White:Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Chen:Amgen: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Baljevic:Cardinal Health Specialty Solutions: Consultancy; Takeda Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Other: Internal Review Committee participant. Kotb:Takeda: Honoraria; Amgen: Honoraria; Merck: Honoraria, Research Funding; Celgene: Honoraria; Janssen: Honoraria; Karyopharm: Equity Ownership. Leblanc:Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Sebag:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Venner:Celgene: Honoraria; Janssen: Honoraria; Amgen: Honoraria, Research Funding; J&J: Research Funding; Sanofi: Honoraria; Takeda: Honoraria. Bensinger:Amgen, Celgene: Other: Personal Fees, Research Funding, Speakers Bureau; Takeda, Janssen: Speakers Bureau; Sanofi, Seattle Genetics, Merck, Karyopharm: Other: Grant. Sheehan:Karyopharm Therapeutics: Employment, Equity Ownership. Chai:Karyopharm Therapeutics: Employment, Equity Ownership. Kai:Karyopharm Therapeutics: Employment, Equity Ownership. Shah:Karyopharm Therapeutics: Employment, Equity Ownership. Shacham:Karyopharm Therapeutics Inc: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Kauffman:Karyopharm Therapeutics Inc: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Lipe:Celgene: Consultancy; amgen: Consultancy; amgen: 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 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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».