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Record W3096307008 · doi:10.1182/blood-2020-137574

Impact of Prior Therapies on the Safety and Efficacy of Once Weekly Selinexor, Bortezomib, and Dexamethasone Compared with Twice Weekly Bortezomib and Dexamethasone in Relapsed or Refractory Multiple Myeloma: Results from the Boston Study

2020· article· en· W3096307008 on OpenAlexaff
María‐Victoria Mateos, Sundar Jagannath, Sosana Delimpasi, Maryana Simonova, Ivan Špıčka, Luděk Pour, Irina Kryachok, Maria Gavriatopoulou, Meletios Α. Dimopoulos, Halyna Pylypenko, Holger W. Auner, Xavier Leleu, Vadim Doronin, Ganna Usenko, Reuben Benjamin, Tuphan Kanti Dolai, Dinesh Kumar Sinha, Christopher P. Venner, Mamta Garg, Don A. Stevens, Hang Quach, Philippe Moreau, Moshe Levy, Ashraf Badros, Larry D. Anderson, Nizar J. Bahlis, Thierry Façon, Michèle Cavo, Yi Chai, Melina Arazy, Jatin J. Shah, Sharon Shacham, Michael Kauffman, Paul G. Richardson, Sebastian Grosicki

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsInstitute of Cancer ResearchUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsBortezomibDexamethasoneMultiple myelomaMedicineCarfilzomibRefractory (planetary science)Internal medicineOncologyBiology

Abstract

fetched live from OpenAlex

Introduction Selinexor is a first-in-class, oral, potent selective inhibitor of nuclear export (SINE) which blocks XPO1, forcing the nuclear retention and activation of tumor suppressor proteins, leading to cancer cell apoptosis. Selinexor has demonstrated antimyeloma activity in triple class refractory multiple myeloma (MM) [Chari et al. NEJM 2019]. Selinexor synergizes with proteasome inhibitors (PIs) in PI-sensitive and -resistant cell lines and produces high response rates in patients with PI refractory and non-refractory MM. (Bahlis et al. Blood 2018). In the phase 3 BOSTON study, the combination of once weekly (QW) selinexor, QW bortezomib and dexamethasone (SVd) in patients who had received 1-3 prior therapies led to a significantly (47%) longer median progression-free survival (PFS) of 13.93 versus 9.46 months (HR 0.70; P=0.0075) compared to standard twice weekly bortezomib and dexamethasone (Vd). In addition, SVd regimen produced higher response rates and deeper responses (ORR: 76.4% vs 62.3% and ≥CR 16.9% vs 10.2%) compared with Vd. The benefit with SVd was observed across all efficacy endpoints and was associated with lower incidence and severity of bortezomib-induced peripheral neuropathy. Here we present subgroup analyses according to number of prior lines of therapy and prior treatment with lenalidomide (LEN). Methods BOSTON is an open-label, randomized phase 3 study in patients with MM comparing SVd (QW selinexor 100 mg, QW subcutaneous bortezomib 1.3 mg/m2, and 20 mg twice weekly [BIW] dexamethasone), versus Vd (1.3 mg/m2 bortezomib BIW and dexamethasone 20 mg 4 x weekly [QIW]). Patients previously treated with a PI must have had at least a partial response (PR) to the PI and 6 months since the last PI regimen. The study primary end point was PFS. Results Of the 402 patients in the BOSTON study, 198 (49%) had 1 prior line versus 204 (51%) with 2-3 prior lines. In addition, 154 (38%) comprised the LEN treated subgroup, versus 248 (62%) in the LEN naïve subgroup. Of note, 41% patients received prior thalidomide, which is consistent with most of the BOSTON study patients being treated in the EU. Baseline demographic and disease characteristics were well balanced between treatment arms across subgroups. A very good partial response (VGPR) or better to most recent prior line anti-MM therapy was more frequent in patients with 1 prior line of therapy (63% vs 41%) versus those with 2-3 prior lines of therapy. Patients with prior LEN therapy were more likely to have had 2-3 prior therapies (72.1%) compared with LEN naive patients (37.5%). As shown in the table, SVd was associated with longer PFS compared with Vd in all subgroups. Overall response rates (ORR) and times-to-next-treatment (TTNT) were statistically greater with SVd compared with Vd in all subgroups. Rates of very good partial response or better (VGPR) were statistically greater for SVd vs Vd in the LEN-naïve group and 1 prior treatment group. Grade ≥2 peripheral neuropathy (a key secondary endpoint prespecified in the study) occurred less frequently across all SVd subgroups compared with Vd: LEN treated (21% SVd, 37% Vd, P=0.0166); LEN-naïve (21% SVd, 33% Vd, P=0.0252), 1 prior line (21% SVd, 33% Vd, P=0.0501); 2-3 prior lines (21% SVd, 36% Vd, P=0.0107). Adverse events of ≥grade 3 were more commonly reported in the SVd treatment arm than in the Vd arm, LEN treated (83% SVd, 57% Vd), LEN-naïve (76% SVd, 55% Vd), 1 prior line (77% SVd, 56% Vd), 2-3 prior lines (81% SVd, 56% Vd), and were mostly managed with dose modification and/or supportive treatment. Pneumonia occurred at comparable rates between treatment arms. There were no differences between subgroups in grade 3 adverse events. Conclusions In the BOSTON study, once-weekly SVd significantly improved PFS, ORR, TTNT and reduced rates of ≥grade 2 peripheral neuropathy compared with Vd regardless of number of prior treatments or whether patients were previously treated with LEN. Adverse events were managed with dose modification and treatment-related discontinuation rates did not differ between the 2 regimens for any subgroup. The PFS of 16.6 months with SVd after 1 prior therapy, and the HR of 0.63 in patients with prior LEN treatment support the use of once-weekly SVd for the second line treatment of MM following a LEN-containing regimen. Table Disclosures Mateos: Takeda: Honoraria; Abbvie: Honoraria; GlaxoSmithKline: Honoraria; EDO Mundipharma: Honoraria; Seattle Genetics: Honoraria; Roche: Honoraria; Bristol-Myers Squibb: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Adaptive Biotechnologies: Honoraria. Jagannath:Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Legend Biotech: Consultancy, Honoraria. Delimpasi:GENESIS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Spicka:Celgene, Amgen, Janssen-Cilag, Takeda, Bristol-Myers Squibb, Novartis, Sanofi: Consultancy, Honoraria, Speakers Bureau. Kryachok:Takeda, Janssen, Novartis, Roche, MSD, Bayer: Consultancy, Research Funding; Janssen, Bayer, Karyopharm, MSD, Acerta, AvbbVie, Debiopharm: Research Funding; Takeda, MSD, AbbVie, Ro: Other: Travel, accommodations, expenses; Takeda, Janssen: Consultancy. Gavriatopoulou:Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genesis Pharma: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Dimopoulos:Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees. Auner:Amgen: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Leleu:BMS-celgene: Honoraria; Carsgen: Honoraria; Incyte: Honoraria; Merck: Honoraria; AbbVie: Honoraria; Oncopeptide: Honoraria; Janssen: Honoraria; Novartis: Honoraria; Amgen: Honoraria; GSK: Honoraria; Sanofi: Honoraria; Karyopharm: Honoraria. Sinha:Dr Reddys Lab, Intas Pharmaceuticals, Karyopharm Therapeutics: Honoraria. Venner:Celgene, Amgen: Research Funding; Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria. Garg:Janssen, Takeda, Celgene, Novartis, Sanofi: Honoraria. Stevens:Amgen, MorphoSys: Consultancy. Quach:Amgen, Celgene, karyopharm, GSK, Janssen Cilag, Sanofi.: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Honoraria; GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Consultancy; Amgen, sanofi, celgene, Karyopharm, GSK: Research Funding. Moreau:Novartis: Honoraria; Amgen: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Honoraria; Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria. Levy:Sanofi: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Bristol Meyers Squibb: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; BeiGene: Consultancy, Research Funding, Speakers Bureau; Baylor University Med Center: Current Employment; Takeda: Consultancy, Honoraria, Research Funding. Badros:Amgen: Consultancy; University of Maryland: Current Employment. Anderson:Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; GSK: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding. Bahlis:Genentech: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; BMS/Celgene and Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Research Funding; Sanofi: Consultancy, Honoraria. Facon:Celgene, Janssen, Takeda, Amgen, Roche, Karyopharm, Oncopeptides, BMS, Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Cavo:Jannsen, BMS, Celgene, Sanofi, GlaxoSmithKline, Takeda, Amgen, Oncopeptides, AbbVie, Karyopharm, Adaptive: Consultancy, Honoraria. Chai:Karyopharm Therapeutics Inc: Current Employment. Arazy:Karyopharm Therapeutics Inc.: Current Employment. Shah:Karyopharm Therapeutics Inc: Current Employment, Current equity holder in publicly-traded company. Shacham:Karyopharm: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties: (8999996, 9079865, 9714226, PCT/US12/048319, and I574957) on hydrazide containing nuclear transport modulators and uses, and pending patents PCT/US12/048319, 499/2012, PI20102724, and 2012000928) . Kauffman:Karyopharm Therapeutics Inc: Cur

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.048
GPT teacher head0.314
Teacher spread0.266 · 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".

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Citations2
Published2020
Admission routes1
Has abstractyes

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