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Enregistrement W3212782606 · doi:10.1182/blood-2021-150998

Selinexor-Based Regimens in Patients with Multiple Myeloma after Prior Anti-B-Cell Maturation Antigen Treatment

2021· article· en· W3212782606 sur OpenAlexaff
Muhamed Baljević, Cristina Gasparetto, Gary J. Schiller, Sascha A. Tuchman, Natalie S. Callander, Suzanne Lentzsch, Jorge Monge, Rami Kotb, Nizar J. Bahlis, Darrell White, Christine I. Chen, Heather J. Sutherland, Sumit Madan, Richard LeBlanc, Michaël Sébag, Christopher P. Venner, William Bensinger, Noa Biran, Andrew DeCastro, Dane R. Van Domelen, Ohad S. Bentur, Wenjun Zhang, Jatin J. Shah, Sharon Shacham, Michael Kauffman, Brea Lipe

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensMcGill University Health CentreUniversity of AlbertaUniversité de MontréalHôpital Maisonneuve-RosemontPrincess Margaret Cancer CentreDalhousie UniversityUniversity of CalgaryInstitute of Cancer ResearchVancouver General HospitalCancerCare Manitoba
Organismes subventionnairesnon disponible
Mots-clésMedicineMultiple myelomaInternal medicineBortezomibPomalidomideOncologyChimeric antigen receptorPharmacologyImmunotherapyCancer

Résumé

récupéré en direct d'OpenAlex

Abstract Background Multiple myeloma (MM) is considered an incurable hematologic malignancy despite a plethora of standard and novel agents. There is no consensus on the optimal sequencing of available therapies in relapsed/refractory MM (RRMM), even in the second line setting. Novel agents such as selinexor (XPOVIO [X]), an oral, first-in-class selective inhibitor of nuclear export (SINE) compound that blocks XPO1, or those that target B-cell maturation antigen (BCMA), have shown significant activity in RRMM. X is approved with bortezomib (V) and dexamethasone (XVd) in patients (pts) with at least 1 prior therapy and is not associated with known long-term clinically significant toxicities such as visual loss, cardiac dysfunction, renal failure, neuropathy, irreversible bone marrow suppression, second malignancies, venous thromboembolism, or rash. Currently, BCMA-targeting agents include 1 form each of chimeric antigen receptor T cell (CAR-T cell) and antibody drug conjugate (ADC) therapy approved in RRMM: idecabtagene vicleucel and belantamab mafodotin, respectively. BCMA-refractory MM represents an area of unmet need in MM without known standards for best treatment. Various novel combinations with X have demonstrated strong benefit in RRMM after 1 or more lines of therapy and activity even in CAR-T cell BCMA-refractory MM (N=7): 1 pt stringent complete (sCR), 3 very good partial (VGPR), 2 partial (PR), and 1 minimal (MR) response (Chari BJH 2020). Here we report on the outcomes of heavily pretreated RRMM pts, a majority of whom had received ADC-BCMA, and who were treated with X-containing regimens on the STOMP trial. Methods STOMP (NCT02343042) is a phase 1b/2, multi-arm, open-label trial of various combinations of X with backbone agents for pts with RRMM or newly diagnosed MM. Here we report on all pts in STOMP with prior anti-BCMA treatment who were treated on STOMP with X+pomalidomide +dexamethasone (XPd); XVd; X+carfilzomib+d (XKd); XPVd; and XPd+elotuzumab (E) (XPEd). Results In total, 11 pts with prior anti-BCMA therapy (6 pts with belantamab mafodotin; 1 each with MEDI2228, SEA-BCMA, BCMA BITE; 2 with idecabtagene vicleucel) were treated with 5 X-containing regimens (Table 1): 9 pts were treated with triplets XPd (4), XVd (3), or XKd (2) and 2 pts with quadruplets XPVd (1) or XPEd (1). Median age was 71 years (range 46-85), 7 pts (63.6%) were women, 11 pts were white. Median duration from MM diagnosis to treatment with a STOMP regimen was 6.9 years (range 2.3-12.8). Five pts (45.5%) had high-risk cytogenetics; pts received median of 6 prior therapies (range 4-10). Eight pts (72.7%) received anti-BCMA in their immediate prior line of therapy. Ten pts (90.9%) were previously treated with all backbone drugs of the STOMP treatments (i.e., X was the only new drug). The overall response rate (ORR) and clinical benefit rate (CBR) for the prior anti-BCMA-containing regimens were 40.0% (2 pts VGPR, 2 PR, 5 stable disease [SD], 1 progressive disease, 1 unknown). Median progression free survival (PFS) was 1.8 months (95% CI: 1.5, NE), and the 6-month PFS probability was 12.5% (95% CI: 2.1, 76.2). ORR for the X-based treatments was 54.5% and CBR was 81.8%: 1 pt VGPR, 5 PR, 3 MR, 2 SD. Median PFS was not reached (95% CI: 5.9, NE) and the 6-month PFS probability was 68.6% (95% CI: 40.3, 100.0). Median overall survival was 10.5 months (95% CI: 9.6, NE) and median time to discontinuation was 8.1 months (95% CI: 6.1, NE). The most common treatment-emergent adverse events were nausea and thrombocytopenia. Nausea was Grade (G) 1/2 (n=8, 72.7%); thrombocytopenia G1-4 in 8 pts (72.7%), 4 with ≥G3; there were no concurrent bleeding events. One pt on XPEd died of pulmonary nocardiosis considered to be associated with the 4-drug regimen. No new safety signals or long-term toxicities due to X were reported. Conclusions In this follow-up cohort of heavily pretreated pts, a majority of whom with MM refractory to ADC-BCMA, we demonstrate impressive potency and durability of the X-based treatments, particularly as compared to that of their prior anti-BCMA therapies. These data support the rationale for the development of novel regimens containing X plus immunomodulatory drugs or proteasome inhibitors in earlier lines of therapy, including first relapse, and further suggest their strong value in the emerging BCMA RRMM space. Figure 1 Figure 1. Disclosures Baljevic: Exelixis: Research Funding; Amgen: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Janssen Research: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees. Gasparetto: Karyopharm: Consultancy, Honoraria, Speakers Bureau; Gsk: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy; Sanofi: Consultancy, Honoraria, Speakers Bureau; Oncopeptide: Consultancy, Honoraria, Speakers Bureau. Schiller: Sangamo: Research Funding; BMS/Celgene: Consultancy, Current equity holder in publicly-traded company, Research Funding, Speakers Bureau; Celator: Research Funding; Geron: Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; PrECOG: Research Funding; Onconova: Research Funding; Pfizer: Current equity holder in publicly-traded company, Research Funding; Genentech-Roche: Research Funding; Karyopharm: Research Funding; Kite/Gilead: Honoraria, Research Funding, Speakers Bureau; Takeda: Research Funding; Abbvie: Research Funding; Forma: Research Funding; Deciphera: Research Funding; Daiichi-Sankyo: Research Funding; Stemline Therapeutics, Inc.: Honoraria, Research Funding, Speakers Bureau; Regimmune: Research Funding; FujiFilm: Research Funding; Gamida Cell Ltd.: Research Funding; Constellation Pharmaceuticals: Research Funding; Mateon: Research Funding; Astellas: Honoraria, Research Funding, Speakers Bureau; Arog: Research Funding; Delta-Fly: Research Funding; Tolero: Research Funding; Samus: Research Funding; Actuate: Research Funding; Actinium Pharmaceuticals, Inc: Research Funding; Trovagene: Research Funding; Agios: Consultancy, Research Funding, Speakers Bureau; Amgen: Consultancy, Current equity holder in publicly-traded company, Honoraria, Research Funding, Speakers Bureau; Jazz: Consultancy, Honoraria, Research Funding, Speakers Bureau; Elevate: Research Funding; Bio: Research Funding; Ono-UK: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Sanofi: Honoraria, Research Funding, Speakers Bureau; Pharma: Consultancy; Johnson & Johnson: Current equity holder in publicly-traded company; Biomed Valley Discoveries: Research Funding; Eli Lilly: Research Funding; ASH foundation: Other: Chair-unpaid; Sellas: Research Funding; Ono: Consultancy; Incyte: Consultancy; Ariad: Research Funding; AstraZeneca: Consultancy; Kaiser Permanente: Consultancy; Cyclacel: Research Funding; MedImmune: Research Funding; Ambit: Research Funding; Leukemia & Lymphoma Society: Research Funding; Bluebird Bio: Research Funding; Boehringer-Ingleheim: Research Funding; Cellerant: Research Funding; CTI Biopharma: Research Funding; Janssen: Research Funding; Kura Oncology: Research Funding; Pharmacyclics: Honoraria, Speakers Bureau; Millennium: Research Funding; National Marrow Donor Program: Research Funding; NIH: Research Funding; Onyx: Research Funding; Pharmamar: Research Funding; UC Davis: Research Funding; UCSD: Research Funding; Evidera: Consultancy; NCI: Consultancy; Novartis: Speakers Bureau. Tuchman: Caelum: Consultancy, Research Funding; Sanofi / Genzyme: Consultancy, Research Funding; Shattuck Labs: Consultancy; Karyopharm: Research Funding; Oncopeptides: Consultancy. Lentzsch: Sanofi: Consultancy, Research Funding; Celularity: Consultancy; AbbVie: Consultancy; GSK: Consultancy; Takeda: Consultancy; Karyopharm: Consultancy, Research Funding; Janssen: Consultancy; 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. Monge: Karyopharm: Research Funding; BMS: Consultancy. Kotb: Celgene: Honoraria; Karyopharm: Current holder of individual stocks in a privately-held company; Pfizer: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Takeda: Honoraria; BMS: Honoraria; Sanofi: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Akcea: Honoraria. Bahlis: GlaxoSmithKline: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Genentech: Consultancy. White: Forus: Consultancy, Honoraria; Antengene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Chen: BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Memb

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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 enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

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)0,0020,000

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 Opus0,010
Tête enseignante GPT0,241
Écart entre enseignants0,231 · 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

Citations6
Publié2021
Routes d'admission1
Résumé présentoui

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