Efficacy and Safety of Selinexor-Containing Regimens in Patients with Multiple Myeloma Previously Treated with Anti-CD38 Monoclonal Antibodies (αCD38 mAb)
Notice bibliographique
Résumé
Abstract Background: Once multiple myeloma (MM) becomes refractory to αCD38 mAb, pts have limited effective treatment options and poor prognoses. With standard therapies, overall response rate (ORR) to the first regimen after refractoriness to an αCD38 mAb is 31%, median progression-free survival (PFS) - 3.4 months and median overall survival (OS) - 9.3 months (Gandhi et al, Leukemia, 2019). Exportin 1 (XPO1) mediates the nuclear export and functional inactivation of tumor suppressor proteins. XPO1 is required for MM cell growth, is associated with poor prognosis and mediates resistance to standard MM and other anticancer therapies. Selinexor (SEL) is a first-in-class, oral selective inhibitor of nuclear export (SINE) compound approved for patients (pts) with previously treated MM as well as DLBCL. The doublet SEL-dexamethasone (Xd) achieved ORR ~26% in triple-class (Immunomodulatory drug [IMiD], proteosome inhibitor [PI], αCD38 mAb) refractory MM and improved OS over matched cohorts in community (Richardson et al, eJHaem, 2021) and academic (Cornell et al, AJH, 2020) settings. Hence, SEL-based triplets could be more effective in this triple class-treated population. We analyzed the efficacy and safety of SEL-containing triplets in pts in the STOMP study who were previously treated with regimens containing αCD38 mAb. Methods: STOMP is a multi-arm, open-label, Phase 1b/2 study evaluating SEL in various combinations (NCT02343042). Here, we analyzed ORR, clinical benefit rate (CBR), duration of response (DOR), PFS, OS, and treatment-emergent adverse events (TEAEs) of pts who received Xd plus pomalidomide (XPd, n=23) or carfilzomib (XKd, n=23) after prior therapy with αCD38 mAb. Results: Among 46 pts treated, median age was 64 yrs (XPd), 70 yrs (XKd), females 57% (XPd) and 39% (XKd), median time from diagnosis was 5 yrs, and median number of prior regimens 4 (range, 2-10). All pts were previously treated with a PI and IMiD and αCD38 mAb; 78% (XPd) and 52% (XKd) had triple refractory MM. Prior treatment with αCD38 mAb included daratumumab (XPd: 91%, XKd: 100%) and isatuximab (XPd: 9%); 52% (XPd) and 74% (XKd) had αCD38 mAb in their most recent prior regimen. Refractoriness to daratumumab was documented in 87% (XPd) and 96% (XKd); isatuximab in 9% (XPd). Median durations from end of most recent αCD38 mAb therapy to first dose of study treatment were 8 weeks (XPd), 4 weeks (XKd). Among evaluable pts, ORR and CBR were 52% and 76%, respectively in the XPd arm (n=21; 2 pts were not efficacy evaluable) and 65% and 74%, respectively in the XKd arm. In the XPd arm median PFS was 8.7 months (95% CI: 7.6, NE), median DOR was 7.9 months (95% CI: 3.9, NE), and median OS was 21.8 months (95% CI: 8, NE). In the XKd arm median PFS was 15 months (95% CI: 12.0, NE), median DOR was 13.1 months (95% CI: 10.2, NE), and median OS was 33.0 months (95% CI: 20.4, NE). Among the evaluable pts, response to SEL-containing triplets compared favorably to the prior αCD38 mAb-containing regimen used at least 1 line earlier: XPd arm (n=21), ORR 52% vs 58% for prior regimen, CBR 76% vs 58%, median PFS 8.7 months (95% CI: 7.6, NE) vs 10.2 months (95% CI: 5.2, 20.5); XKd arm (n=23), ORR 65% vs 52%, CBR 74% vs 57%, median PFS 15.0 months (95% CI: 12.0, NE) vs 8.5 months (95% CI: 5.9, 17.3). The most common hematological TEAEs (total; grade≥3) were thrombocytopenia (XPd: 35%; 30%; XKd: 78%; 39%), anemia (XPd: 57%; 39%; XKd: 57%; 22%), and neutropenia (XPd: 57%; 48%; XKd: 35%; 4%). Other common TEAEs (total; grade≥3) were nausea (XPd: 74%; 0; XKd: 74%; 4%), fatigue (XPd: 61%; 4%; XKd: 52%; 4%) and decreased appetite (XPd: 48%; 4%; XKd: 48%; 4%). No cases of severe bleeding with thrombocytopenia occurred. Three pts (13%, all XPd) had febrile neutropenia (the outcome of which was fatal in 1 pt, deemed related to SEL and pomalidomide). TEAEs were managed with standard supportive care and dose modifications. Summary/Conclusion: XPd and XKd administered to pts with heavily pretreated MM, including prior αCD38 mAb therapy, exhibit tolerability and comparable effectiveness to that of the prior αCD38 mAb-containing regimen. These results suggest that the use of SEL-containing triplets, implementing the novel XPO1 inhibition mechanism, can provide prolonged disease control with good tolerability rather than recycling previously utilized drugs/mechanisms. The all oral XPd regimen will be evaluated in Study EMN29 against elotuzumab-Pd in patients who have received lenalidomide, a PI and an αCD38 mAb. Disclosures Lentzsch: Janssen: Consultancy; AbbVie: Consultancy; Celularity: Consultancy; GSK: Consultancy; Takeda: Consultancy; Karyopharm: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Oncopeptides: 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. Lipe: Seagen Inc.: Research Funding; BMS: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; sanofi: Consultancy; GlaxoSmithKline: Consultancy; amgen: Research Funding; Cellectar: Research Funding; Karyopharm: Research Funding; Harpoon: Research Funding. Tuchman: Karyopharm: Research Funding; Shattuck Labs: Consultancy; Sanofi / Genzyme: Consultancy, Research Funding; Caelum: Consultancy, Research Funding; Oncopeptides: Consultancy. Bahlis: Takeda: Consultancy, Honoraria; Genentech: Consultancy; Amgen: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria. Bensinger: BMS, Janssen, Poseida, Regeneron, Trillium: Research Funding; Amgen, BMS, Janssen, Sanofi: Speakers Bureau. Sebag: Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Bristol Myers-Squibb: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; Janssen: Research Funding. Sutherland: Janssen: Consultancy, Research Funding; GSK: Research Funding; Karyopharm: Research Funding; Celgene: Consultancy; Amgen: Consultancy. Monge: Bristol Myers Squibb: Consultancy; Karyopharm Therapeutics: Research Funding. Gasparetto: Karyopharm Therapeutics Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES, Speakers Bureau; Oncopeptite: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy; Connect Registry: Membership on an entity's Board of Directors or advisory committees. Baljevic: Exelixis: Research Funding; Karyopharm: Other: Advisory Board; BMS/Celgene: Other: Advisory Board; Janssen Research: Other: Advisory Board; Oncopeptides: Other: Advisory Board; BMS/Celgene: Consultancy; Amgen: Research Funding. Venner: Janssen: Honoraria; Sanofi: Honoraria; Amgen: Honoraria; BMS: Honoraria; GSK: Honoraria; Takeda: Honoraria. White: Amgen, Antengene, BMS/Celgene, Forus, GSK, Janssen, Karyopharm, Sanofi, Takeda: Consultancy, Honoraria. Kotb: Takeda: Honoraria; Karyopharm: Current holder of individual stocks in a privately-held company; Amgen: Honoraria; BMS: Honoraria; Celgene: Honoraria; Janssen: Honoraria; Sanofi: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Akcea: Honoraria; Pfizer: Honoraria. Chen: BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astrazeneca: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy. Schiller: Celator: Research Funding; Amgen: Consultancy, Current equity holder in publicly-traded company, Honoraria, Research Funding, Speakers Bureau; Mateon: Research Funding; Stemline Therapeutics, Inc.: Honoraria, Research Funding, Speakers Bureau; Tolero: Research Funding; Constellation Pharmaceuticals: Research Funding; Takeda: Research Funding; Abbvie: Research Funding; Sangamo: Research Funding; Trovagene: Research Funding; Johnson & Johnson: Current equity holder in publicly-traded company; Cyclacel: Research Funding; Bluebird Bio: Research Funding; Boehringer-Ingleheim: Research Funding; Forma: Research Funding; Daiichi-Sankyo: Research Funding; Bio: Research Funding; Ono-UK: Consultancy, Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Delta-Fly: Research Funding; FujiFilm: Research Funding; Deciphera: Research Funding; Arog: Research Funding; Kite/Gilead: Honoraria, Research Funding, Speakers Bureau; PrECOG: Research Funding; Pfizer: Current equity holder in publicly-traded company, Research Funding; Onconova: Re
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 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 | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
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 ».