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Record W3211342731 · doi:10.1182/blood-2021-148759

Once Weekly Oral Selinexor, Pomalidomide, and Dexamethasone in Relapsed Refractory Multiple Myeloma

2021· article· en· W3211342731 on OpenAlexaff
Darrell White, Christine I. Chen, Muhamed Baljević, Sascha A. Tuchman, Nizar J. Bahlis, Gary J. Schiller, Brea Lipe, Rami Kotb, Heather J. Sutherland, William Bensinger, Sumit Madan, Michaël Sébag, Suzanne Lentzsch, Natalie S. Callander, Noa Biran, Christopher P. Venner, Richard LeBlanc, Jorge Monge, Evgeni Chubar, Tamar Tadmor, Noa Lavi, Merav Leiba, Andrew DeCastro, Dane R. Van Domelen, Wenjun Zhang, Moran Mishal, Ohad S. Bentur, Jatin J. Shah, Sharon Shacham, Michael Kauffman, Cristina Gasparetto

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsHôpital Maisonneuve-RosemontUniversity of CalgaryVancouver General HospitalCancerCare ManitobaUniversité de MontréalUniversity of AlbertaQueen Elizabeth II Health Sciences CentrePrincess Margaret Cancer CentreRoyal Victoria HospitalDalhousie University
Fundersnot available
KeywordsPomalidomideDexamethasoneMedicineRefractory (planetary science)LenalidomideMultiple myelomaRegimenBortezomibInternal medicinePharmacologyPhases of clinical researchOncologyCancer researchToxicityBiology

Abstract

fetched live from OpenAlex

Abstract Background: Overexpression of the nuclear export protein exportin 1 (XPO1) mediates the functional inactivation of tumor suppressor proteins (TSPs), facilitates the export of oncogene mRNA thus facilitating oncoprotein expression, is associated with poor prognosis in multiple myeloma (MM), and contributes to immunomodulatory drug (IMiD) resistance. Selinexor is an oral, first-in-class, selective inhibitor of nuclear export (SINE) compound that by blocking XPO1 forces the nuclear retention and activation of TSPs and nuclear retention and inactivation of oncoproteins. 1 Selinexor is approved with low-dose dexamethasone ± bortezomib for patients with previously treated MM. Pomalidomide plus dexamethasone (Pd) has an overall response rate (ORR) of ~30% and median PFS (mPFS) of ~4 months in patients with MM refractory to bortezomib and lenalidomide. We hypothesized that selinexor could be safely combined with Pd (XPd) and would improve the combination's efficacy. Methods: In the XPd arm of the multi-arm Phase 1b/2 STOMP study, selinexor was evaluated at 60, 80, or 100 mg in combination with Pd. Study objectives were to determine the maximum tolerated dose and recommended Phase 2 dose (RP2D) and to assess the safety and activity of the XPd regimen. The dose of selinexor 60 mg once weekly (QW), pomalidomide 4 mg once daily (days 1-21), dexamethasone 40 mg QW (XPd-60) was the lowest evaluated dose of selinexor in combination with the approved dose of Pd, and in light of the marked efficacy of that dose (ORR 65%), Phase 2 cohorts at a lower (40 mg weekly) dose of selinexor (XPd-40), were evaluated. Of the 19 patients enrolled at XPd-40 and evaluable for efficacy, 12 patients were enrolled into STOMP and 7 patients were enrolled at the same dose level and similar inclusion criteria into a parallel study XPORT-MM-028. Results: As of 14 July 2021, 39 patients were enrolled into the 60 (N=20) and 40 (N=19) mg selinexor dose levels in combination with Pd: 19 males, median age 66.0 years (range 37-85 years), median number of prior lines of therapy 2 (range 1-9). 85% of patients had MM refractory to a proteasome inhibitor (PI; bortezomib or carfilzomib or ixazomib), 79% to an IMiD (thalidomide or lenalidomide or pomalidomide), 33% to an anti-CD38 mAb (daratumumab or isatuximab); 26% had triple class refractory disease. Common hematologic, treatment-emergent adverse events (TEAEs) consisted of (all grades, grade ≥3) neutropenia (72%, 59%; and two cases of grade 3 [G3] febrile neutropenia one in each of the dose levels), and anemia (51%, 15% all G3). Non-hematologic TEAEs were reversible and included fatigue (56%, 10% all G3) and nausea (49%, 0%). On XPd-60, the RP2D (N=20), ORR was 65% (1 stringent complete response [sCR], 5 very good partial responses [VGPR], 7 PR); mPFS was 8.9 months (95% CI, 7.6 - NE, median follow-up 8.3 months). In patients treated at XPd-40 (N=19), ORR was 42% (3 VGPR, 5 PR); mPFS was not reached (95% CI, 5.7 - NE, median follow-up 2.8 months). Among patients who had received anti-CD38 mAb, the ORR was 64% overall and 100% at the RP2D (1 sCR, 2 VGPR, 3 PR). All patients who had MM refractory to pomalidomide (N=3; all at the 60 mg dose level) responded with 1 VGPR and 2 PR. For the 21 responders across both dose levels, median time to response was 1.0 months (95% CI 1.0 - 2.0) and median duration of response was not reached (95% CI: 8.0, NE). Conclusions: Selinexor, once weekly, can be safely combined with Pd in patients with relapsed MM. The all-oral combination of XPd is highly active with an ORR of 65% at XPd-60, the RP2D, and an ORR of 42% at XPd-40 dose level (compared to expected ORR ~30% for Pd). The high ORR that was achieved at the RP2D, including in patients previously treated with anti-CD38 mAb, supports XPd-60 as a promising therapy with no significant cross-resistance to anti-CD38, PIs or lenalidomide. No new safety signals were identified. The most common TEAE, neutropenia, is a common AE of Pd and was managed effectively with standard G-CSF. The regimen leverages the concept of mechanism switching from an anti-CD38 mAb-based regimen to a selinexor-based regimen. These data support the new Phase 3 study (XPORT-MM-031) with an all-oral combination of XPd vs elotuzumab-Pd in patients who have been previously treated with lenalidomide, a PI, and an anti-CD38 mAb. Figure 1 Figure 1. Disclosures White: Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Antengene: Consultancy, Honoraria; Forus: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Karyopharm Therapeutics Inc.: Consultancy, Honoraria. Chen: Astrazeneca: Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy. Baljevic: BMS/Celgene: Consultancy; Exelixis: Research Funding; Karyopharm: Other: Advisory Board; BMS/Celgene: Other: Advisory Board; Amgen: Research Funding; Janssen Research: Other: Advisory Board; Oncopeptides: Other: Advisory Board. Tuchman: Caelum: Consultancy, Research Funding; Sanofi / Genzyme: Consultancy, Research Funding; Shattuck Labs: Consultancy; Karyopharm: Research Funding; Oncopeptides: Consultancy. Bahlis: Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genentech: Consultancy; Amgen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria. Schiller: Eli Lilly: Research Funding; Jazz: Consultancy, Honoraria, Research Funding, Speakers Bureau; Ambit: Research Funding; MedImmune: Research Funding; Cyclacel: Research Funding; Geron: Research Funding; Genentech-Roche: Research Funding; Amgen: Consultancy, Current equity holder in publicly-traded company, Honoraria, Research Funding, Speakers Bureau; Agios: Consultancy, Research Funding, Speakers Bureau; Trovagene: Research Funding; Gamida Cell Ltd.: Research Funding; Bio: Research Funding; Pfizer: Current equity holder in publicly-traded company, Research Funding; Forma: Research Funding; Deciphera: Research Funding; Regimmune: Research Funding; Delta-Fly: Research Funding; FujiFilm: Research Funding; Tolero: Research Funding; Takeda: Research Funding; AstraZeneca: Consultancy; Kaiser Permanente: Consultancy; Daiichi-Sankyo: Research Funding; Celator: Research Funding; Arog: Research Funding; Actuate: Research Funding; Actinium Pharmaceuticals, Inc: Research Funding; Karyopharm: Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Elevate: Research Funding; Samus: Research Funding; PrECOG: Research Funding; Constellation Pharmaceuticals: Research Funding; Onconova: Research Funding; Novartis: Consultancy, Research Funding; Ono-UK: Consultancy, Research Funding; Astellas: Honoraria, Research Funding, Speakers Bureau; BMS/Celgene: Consultancy, Current equity holder in publicly-traded company, Research Funding, Speakers Bureau; Sangamo: Research Funding; Stemline Therapeutics, Inc.: Honoraria, Research Funding, Speakers Bureau; Abbvie: Research Funding; Kite/Gilead: Honoraria, Research Funding, Speakers Bureau; Mateon: Research Funding; Pharma: Consultancy; Sanofi: Honoraria, Research Funding, Speakers Bureau; Johnson & Johnson: Current equity holder in publicly-traded company; Biomed Valley Discoveries: Research Funding; ASH foundation: Other: Chair-unpaid; Sellas: Research Funding; Ono: Consultancy; Incyte: Consultancy; Ariad: 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. Lipe: Seagen Inc.: Research Funding; BMS: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; sanofi: Consultancy; GlaxoSmithKline: Consultancy; amgen: Research Funding; Cellectar: Research Funding; Karyopharm: Research Funding; Harpoon: Research Funding. Kotb: Akcea: Honoraria; Karyopharm: Current holder of individual stocks in a privately-held company; Amgen: Honoraria; Pfizer: Honoraria; Merck: Honoraria, Research Funding; Janssen: Honoraria; Celgene: Honoraria; Sanofi: Honoraria, Research Funding; Takeda: Honoraria; BMS: Honoraria. Sutherland: Celgene: Consultancy; Karyopharm: Research Funding; GSK: Research Funding; Janssen: Consultancy, Research Funding; Amgen: Consultancy. Bensinger: Amgen, BMS, Janssen, Sanofi: Speakers Bureau; BMS, Janssen, Poseida, Regeneron, Trillium: Research Funding. Madan: Amgen: Consultancy, Speakers Bureau; Karyopharm: Consultancy, Research Funding; GSK: Consultancy, Speakers Bureau; Sanofi: Consultancy, Research Funding; BMS: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Takeda: Speakers Bureau. Sebag: Janssen: Research Fundin

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.405

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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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 designBench or experimental
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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Citations13
Published2021
Admission routes1
Has abstractyes

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