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Record W3212572680 · doi:10.1182/blood-2021-146003

Clinical Outcomes in Patients (Pts) with Dose Reduction of Selinexor in Combination with Bortezomib, and Dexamethasone (XVd) in Previously Treated Multiple Myeloma from the Boston Study

2021· article· en· W3212572680 on OpenAlexaff
Sundar Jagannath, Thierry Façon, Ashraf Badros, Moshe Levy, Philippe Moreau, Sosana Delimpasi, Maryana Simonova, Ivan Špıčka, Iryna Kriachok, Maria Gavriatopoulou, Halyna Pylypenko, Holger W. Auner, Xavier Leleu, Vadim Doronin, Ganna Usenko, Roman Hájek, Reuben Benjamin, Tuphan Kanti Dolai, Dinesh Kumar Sinha, Chris Venner, Mamta Garg, Mercedes Gironella, Artur Jurczyszyn, Tadeusz Robak, Mónica Galli, Craig T. Wallington‐Beddoe, Atanas Radinoff, Galina Salogub, Don A. Stevens, Supratik Basu, Anna Marina Liberati, Hang Quach, Veselina Goranova‐Marinova, Jelena Bila, Eirini Katodritou, Andrew DeCastro, Yi Chai, Dane R. Van Domelen, Moran Mishal, Ohad S. Bentur, Jatin J. Shah, Sharon Shacham, Michael Kauffman, Sebastian Grosicki, Paul G. Richardson

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineBortezomibDexamethasoneTolerabilityInternal medicineMultiple myelomaAdverse effectPopulationDiscontinuationOncologyNeutropeniaGastroenterologyPharmacologyChemotherapy

Abstract

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Abstract Introduction: Treatment of multiple myeloma (MM) has greatly improved over the last two decades. However, most pts will relapse and develop refractory disease. Most anti-cancer regimens require dose modifications (interruption, reduction, or discontinuation) during the treatment course in order to optimize the therapeutic window; appropriate modifications improve tolerability while maintaining anti-cancer activity. Selinexor, an oral selective inhibitor of XPO1-mediated nuclear export (SINE) compound, enforces the nuclear retention and functional activation of tumor suppressor proteins within the nucleus and prevents the translation of oncoproteins. The combination of once weekly (QW) selinexor, QW bortezomib, and dexamethasone (XVd) is FDA approved for previously treated MM. Compared to standard twice weekly (BIW) bortezomib plus dexamethasone (Vd) and using 40% less bortezomib and 25% less dexamethasone, XVd demonstrated significantly prolonged median progression-free survival (PFS) and time-to-next-treatment (TTNT), increased the overall response rate (ORR), reduced rates of peripheral neuropathy, and showed a trend towards improved overall survival (OS) in the Phase 3 randomized BOSTON study (NCT03110562). The recommended starting dose of selinexor in XVd is 100mg QW, but the median dose administered in BOSTON was 80 mg QW. Here, we analyzed the efficacy outcomes and adverse events (AEs) in pts whose dose was reduced compared to those where it was not. Methods: The BOSTON study consisted of two arms: pts treated with selinexor QW (100mg), bortezomib QW (1.3mg/m 2) and dexamethasone BIW (20 mg) (XVd; n=195 in the intention-to-treat [ITT] population) compared to standard BIW Vd. Results: Of the XVd pts in the BOSTON study, 126 had a dose reduction of selinexor and 69 did not. The median age was 66.0 in both groups (range: with reduction, 47-87; without, 40-84) and the median number of prior therapies was 1.0 (range, 1-3) for both groups (Table 1). The median time to dose reduction in these pts was 68 days (range, 8-561 days). The median duration of study treatment for these pts was 34.5 weeks (range, 3-120 weeks) compared to 20.0 weeks (range, 1-118) in pts with no dose reduction. In the group with dose reduction, the median dose of selinexor received per week was 71.3 mg (range, 29.7, 101.4) compared to 100 mg (range, 33.3, 136.7) in pts with no reduction. Pts who dose reduced had a median PFS of 16.6 months compared to 9.2 months in pts who did not (one-sided p value, <0.01), with a median follow up of 14.1 months with reduction and 10.6 months without. The ORR in the dose reduced group compared to pts who did not dose reduce was 81.7% vs 66.7% (one-sided p value, <0.01), and the rate of VGPR or better was 51.6% vs 31.8% (Table 2). Duration of response (DOR) was NR in the dose reduced group and was 12.0 months in the group without reduction. TTNT was 22.6 months in the dose reduced group and 10.5 months in pts with no dose reductions (one-sided p value, <0.001). The most common adverse events (AEs; dose reduction and without dose reduction) of any grade were thrombocytopenia (69.8% and 42.0%), nausea (55.6% and 40.6%), and fatigue (49.2% and 29.0%). The rate of treatment discontinuation in the dose reduced group was 24.6% and 14.5% without dose reductions. In the dose reduced group, there were 6 (4.8%) deaths and 6 (8.7%) in the group with no dose reduction. As pts with a dose reduction stayed on therapy for a prolonged period of time, to best understand the impact of dose reduction on the AE, we present the duration-adjusted incidence rates of AEs of clinical interest. The duration-adjusted incidence rates of AE were considerably lower after dose reduction of selinexor compared to the rates on or before dose reduction: thrombocytopenia (62.5% vs 47.6%), nausea (31.6% vs 7.3%), fatigue (28.1% vs 9.9%), decreased appetite (21.5% vs 6.4%), anemia (17.9% vs 10.3%), and diarrhea (12.9% vs 5.2) (Table 3). Conclusions: While all pts on XVd initiated therapy at 100mg selinexor QW, and it was associated with very low rates of progressive disease (1 in 195 pts), appropriate dose reductions of selinexor were associated with a longer PFS, DOR, and TTNT, and significantly reduced AE with improved tolerability, highlighting dose reductions as an important tool to personalize and optimize the therapeutic window for pts with RRMM. Figure 1 Figure 1. Disclosures Jagannath: Bristol Myers Squibb: Consultancy; Janssen Pharmaceuticals: Consultancy; Karyopharm Therapeutics: Consultancy; Legend Biotech: Consultancy; Sanofi: Consultancy; Takeda: Consultancy. Badros: Janssen: Research Funding; GlaxoSmithKline: Research Funding; J&J: Research Funding; BMS: Research Funding. Levy: Takeda, Celgene, Seattle Genetics, AbbVie, Jazz Pharmaceuticals, Gilead Sciences, Bristol-Myers Squibb, Amgen, Spectrum Pharmaceuticals,Janssen.: Consultancy. Moreau: Celgene BMS: Honoraria; Oncopeptides: Honoraria; Amgen: Honoraria; Sanofi: Honoraria; Abbvie: Honoraria; Janssen: Honoraria. Delimpasi: Takeda: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau. Kriachok: Takeda, Roche, Abbivie, Janssen, MSD: Consultancy; Takeda, Roche, Abbvie, Janssen, MSD, Pfizer: Honoraria, Speakers Bureau. Gavriatopoulou: Takeda: Honoraria; Sanofi: Honoraria; GSK: Honoraria; Janssen: Honoraria; Karyopharm: Honoraria; Genesis: Honoraria; Amgen: Honoraria. Auner: Janssen: Speakers Bureau; Amgen: Research Funding; Takeda, Karyopharm: Other: Advisory role. Leleu: Bristol-Myers Squibb: Honoraria; Carsgen Therapeutics Ltd: Honoraria; Celgene: Honoraria; Gilead Sciences: Honoraria; Janssen-Cilag: Honoraria; Karyopharm Therapeutics: Honoraria; Merck: Honoraria; Mundipharma: Honoraria; Novartis: Honoraria; Oncopeptides: Honoraria; Pierre Fabre: Honoraria; Roche: Honoraria; Sanofi: Honoraria; Amgen: Honoraria; AbbVie: Honoraria; Takeda: Honoraria, Other: Non-financial support. Usenko: Janssen: Consultancy, Honoraria, Other: Clinical Trials Investigator; AbbVie: Consultancy, Honoraria, Other: Clinical Trials Investigator; Pfizer: Consultancy, Honoraria; Acerta: Other: Clinical Trials Investigator; Ascentage: Other: Clinical Trials Investigator; Celgene: Other: Clinical Trials Investigator; Il-Yang: Other: Clinical Trials Investigator; Karyopharm: Other: Clinical Trials Investigator; Oncopeptides: Other: Clinical Trials Investigator; Rigel: Other: Clinical Trials Investigator; Takeda: Other: Clinical Trials Investigator; UCB: Other: Clinical Trials Investigator. Hajek: Janssen: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria; Pharma MAR: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Venner: BMS: Honoraria; Amgen: Research Funding; Celgene: Research Funding; Amgen: Honoraria; Takeda: Honoraria; Janssen: Honoraria; Sanofi: Honoraria; Pfizer: Honoraria. Garg: University Hospital Leicester: Current Employment; Amgen Janssen Novartis Sanofi Takeda: Honoraria; Takeda Janssen Novartis Sanofi: Other: Travel Accommodations, Expenses. Gironella Mesa: BMS, Janssen: Honoraria. Jurczyszyn: Janssen-Cilag, Amgen: Honoraria, Speakers Bureau. Robak: Biogen, Abbvie, Octapharma, Janssen: Honoraria, Other: Advisory board; AstraZeneca, Abbvie, Janssen, Octapharma, Gilead,Oncopeptides AB, Pharmacyclics, Pfizer, GlaxoSmithKline, Biogen: Research Funding; Medical University of Lodz: Current Employment. Galli: BMS, Celgene, Janssen, Sanofi, Takeda: Honoraria. Radinoff: Janssen, Pfizer, Novartis, Servier etc.: Consultancy, Honoraria; Amgen, Bayer, Takeda, etc.: Research Funding; the Bulgarian Minister of Health: Membership on an entity's Board of Directors or advisory committees. Liberati: abbvie, amgen, archigen, beigene, BMS, celgene, DR REDDY'S LABORATORIES SPA, fibrogen, glaxo, Janssen, Karyopharm, Morphosys, Novartis, Onconova, Oncopeptides ab, Roche, Sanophi, Secura Bio, Takeda, Verastem,: Research Funding. Quach: Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen/Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL: Consultancy, Membership on an entity's Board of Directors or advisory committees. Bila: Ta

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.013
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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 teacher head, 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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Citations8
Published2021
Admission routes1
Has abstractyes

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