MétaCan
Menu
← Back to cohort
Record 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 on 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

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsMcGill University Health CentreUniversity of AlbertaUniversité de MontréalHôpital Maisonneuve-RosemontPrincess Margaret Cancer CentreDalhousie UniversityUniversity of CalgaryInstitute of Cancer ResearchVancouver General HospitalCancerCare Manitoba
Fundersnot available
KeywordsMedicineMultiple myelomaInternal medicineBortezomibPomalidomideOncologyChimeric antigen receptorPharmacologyImmunotherapyCancer

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.241
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicMultiple Myeloma Research and Treatments→French-language works237,207→