Effect of Prior Treatment with Proteasome Inhibitors on the Efficacy and Safety of Once-Weekly Selinexor, Bortezomib, and Dexamethasone in Comparison with Twice-Weekly Bortezomib and Dexamethasone in Relapsed or Refractory Multiple Myeloma: Subgroup Analysis from the Boston Study
Bibliographic record
Abstract
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 longer (47%) median progression-free survival (PFS) of 13.93 vs 9.46 months, with a hazard ratio of 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 analyzed the effect of prior PI therapy (bortezomib, carfilzomib, ixazomib) on the efficacy and safety of SVd compared with Vd. Methods BOSTON is an open-label, randomized phase 3 study in patients with MM comparing SVd (QW oral selinexor 100 mg, QW subcutaneous bortezomib 1.3 mg/m2, and BIW oral dexamethasone 20 mg), versus Vd (BIW bortezomib 1.3 mg/m2 and QIW dexamethasone 20 mg). 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. Here we report subgroup analysis of treatment outcomes based on prior PI treatment. Results Subgroups consisted of PI naïve patients (n=95; 24%) and patients with prior PI treatment (n=307; 76%). Both the subgroups and study arms were comparable for baseline patient demographic and disease characteristics. However, those with prior PI treatment more frequently had a previous stem cell transplant (38% vs 24%) or 3 lines of prior anti MM therapy (21% vs 13%). Median PFS was improved with SVd compared with Vd in both the PI naïve group (PFS not reached (NR) vs 9.7 months; HR 0.2585 [95% CI, 0.1116-0.5988]; P=0.0003) and in the PI treated group (11.7 vs 9.4 months; HR 0.7839 [95% CI, 0.5791-1.0612]; P=0.06). Other efficacy endpoints are shown in the table. Peripheral neuropathy ≥grade 2 (a secondary study endpoint) was less frequent in the SVd compared with the Vd arm (PI naïve: 25.5%, Vd 43.8%, P=0.0302; PI treated: SVd 19.6%, Vd 31.4%, P=0.0092). Adverse events of ≥grade 3 occurred in 71% of patients in the PI naïve group (SVd 77%, Vd 65%) and 74% of patients in the PI treated group (SVd 88%, Vd 60%). Thrombocytopenia was more frequent in patients in the SVd arms (PI naïve: SVd 32%, Vd 13%; PI treated: SVd 42%, Vd 19%) as was anemia (PI naïve: SVd 15%, Vd 6%; PI treated: SVd 16%, Vd 12%), and fatigue (PI naïve: SVd 15%, Vd 2%; PI treated: SVd 13%, Vd 1%). Conclusions The once-weekly SVd combination was associated with significant clinical benefit and reduced peripheral neuropathy as compared with standard twice-weekly Vd in patients with MM and 1-3 prior therapies, regardless of prior therapy with a PI. However, the benefits of SVd over Vd were more pronounced in patients who had never been treated with a PI (PFS HR 0.26), suggesting that selinexor could be an optimal partner for combining with weekly bortezomib as the first PI-containing MM regimen. Figure 1 Disclosures Mateos: Roche: Honoraria; Seattle Genetics: Honoraria; EDO Mundipharma: Honoraria; Adaptive Biotechnologies: Honoraria; GlaxoSmithKline: Honoraria; Abbvie: Honoraria; Takeda: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria; Janssen: Honoraria. Gavriatopoulou:Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genesis Pharma: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: 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. Auner:Karyopharm: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding. Leleu:AbbVie: Honoraria; GSK: Honoraria; Amgen: Honoraria; Novartis: Honoraria; Carsgen: Honoraria; Incyte: Honoraria; Merck: Honoraria; BMS-celgene: Honoraria; Janssen: Honoraria; Oncopeptide: Honoraria; Sanofi: Honoraria; Karyopharm: Honoraria. Hajek:Novartis: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Oncopeptides: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharma MAR: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Dimopoulos: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; Janssen: 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; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau. 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:Janssen, Bayer, Karyopharm, MSD, Acerta, AvbbVie, Debiopharm: Research Funding; Takeda, Janssen: Consultancy; Takeda, MSD, AbbVie, Ro: Other: Travel, accommodations, expenses; Takeda, Janssen, Novartis, Roche, MSD, Bayer: Consultancy, Research Funding. 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:GlaxoSmithKline: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Research Funding; Glaxo Kline Smith: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Janssen Cilag: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria, Research Funding. Jagannath:BMS, Janssen, Karyopharm, Legend Biotech, Sanofi, Takeda: Consultancy. Moreau:Amgen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Takeda: Honoraria; Janssen: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Novartis: Honoraria. Levy:Karyopharm,Takeda, BMS: Consultancy, Honoraria, Speakers Bureau. Badros:Amgen: Consultancy; University of Maryland: Current Employment. Anderson:Karyopharm: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; GSK: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding. Bahlis:Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; BMS/Celgene and Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Research Funding; AbbVie: Consultancy, Honoraria; Genentech: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; GSK: Consultancy, Honoraria. 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: Current Employment, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Richardson:Celgene/BMS, Oncopeptides, Takeda, Karyopharm: Research Funding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".