Efficacy and Safety of Selinexor-Containing Regimens in Patients with Multiple Myeloma Previously Treated with Anti-CD38 Monoclonal Antibodies (αCD38 mAb)
Bibliographic record
Abstract
Abstract Background: Once multiple myeloma (MM) becomes refractory to αCD38 mAb, pts have limited effective treatment options and poor prognoses. With standard therapies, overall response rate (ORR) to the first regimen after refractoriness to an αCD38 mAb is 31%, median progression-free survival (PFS) - 3.4 months and median overall survival (OS) - 9.3 months (Gandhi et al, Leukemia, 2019). Exportin 1 (XPO1) mediates the nuclear export and functional inactivation of tumor suppressor proteins. XPO1 is required for MM cell growth, is associated with poor prognosis and mediates resistance to standard MM and other anticancer therapies. Selinexor (SEL) is a first-in-class, oral selective inhibitor of nuclear export (SINE) compound approved for patients (pts) with previously treated MM as well as DLBCL. The doublet SEL-dexamethasone (Xd) achieved ORR ~26% in triple-class (Immunomodulatory drug [IMiD], proteosome inhibitor [PI], αCD38 mAb) refractory MM and improved OS over matched cohorts in community (Richardson et al, eJHaem, 2021) and academic (Cornell et al, AJH, 2020) settings. Hence, SEL-based triplets could be more effective in this triple class-treated population. We analyzed the efficacy and safety of SEL-containing triplets in pts in the STOMP study who were previously treated with regimens containing αCD38 mAb. Methods: STOMP is a multi-arm, open-label, Phase 1b/2 study evaluating SEL in various combinations (NCT02343042). Here, we analyzed ORR, clinical benefit rate (CBR), duration of response (DOR), PFS, OS, and treatment-emergent adverse events (TEAEs) of pts who received Xd plus pomalidomide (XPd, n=23) or carfilzomib (XKd, n=23) after prior therapy with αCD38 mAb. Results: Among 46 pts treated, median age was 64 yrs (XPd), 70 yrs (XKd), females 57% (XPd) and 39% (XKd), median time from diagnosis was 5 yrs, and median number of prior regimens 4 (range, 2-10). All pts were previously treated with a PI and IMiD and αCD38 mAb; 78% (XPd) and 52% (XKd) had triple refractory MM. Prior treatment with αCD38 mAb included daratumumab (XPd: 91%, XKd: 100%) and isatuximab (XPd: 9%); 52% (XPd) and 74% (XKd) had αCD38 mAb in their most recent prior regimen. Refractoriness to daratumumab was documented in 87% (XPd) and 96% (XKd); isatuximab in 9% (XPd). Median durations from end of most recent αCD38 mAb therapy to first dose of study treatment were 8 weeks (XPd), 4 weeks (XKd). Among evaluable pts, ORR and CBR were 52% and 76%, respectively in the XPd arm (n=21; 2 pts were not efficacy evaluable) and 65% and 74%, respectively in the XKd arm. In the XPd arm median PFS was 8.7 months (95% CI: 7.6, NE), median DOR was 7.9 months (95% CI: 3.9, NE), and median OS was 21.8 months (95% CI: 8, NE). In the XKd arm median PFS was 15 months (95% CI: 12.0, NE), median DOR was 13.1 months (95% CI: 10.2, NE), and median OS was 33.0 months (95% CI: 20.4, NE). Among the evaluable pts, response to SEL-containing triplets compared favorably to the prior αCD38 mAb-containing regimen used at least 1 line earlier: XPd arm (n=21), ORR 52% vs 58% for prior regimen, CBR 76% vs 58%, median PFS 8.7 months (95% CI: 7.6, NE) vs 10.2 months (95% CI: 5.2, 20.5); XKd arm (n=23), ORR 65% vs 52%, CBR 74% vs 57%, median PFS 15.0 months (95% CI: 12.0, NE) vs 8.5 months (95% CI: 5.9, 17.3). The most common hematological TEAEs (total; grade≥3) were thrombocytopenia (XPd: 35%; 30%; XKd: 78%; 39%), anemia (XPd: 57%; 39%; XKd: 57%; 22%), and neutropenia (XPd: 57%; 48%; XKd: 35%; 4%). Other common TEAEs (total; grade≥3) were nausea (XPd: 74%; 0; XKd: 74%; 4%), fatigue (XPd: 61%; 4%; XKd: 52%; 4%) and decreased appetite (XPd: 48%; 4%; XKd: 48%; 4%). No cases of severe bleeding with thrombocytopenia occurred. Three pts (13%, all XPd) had febrile neutropenia (the outcome of which was fatal in 1 pt, deemed related to SEL and pomalidomide). TEAEs were managed with standard supportive care and dose modifications. Summary/Conclusion: XPd and XKd administered to pts with heavily pretreated MM, including prior αCD38 mAb therapy, exhibit tolerability and comparable effectiveness to that of the prior αCD38 mAb-containing regimen. These results suggest that the use of SEL-containing triplets, implementing the novel XPO1 inhibition mechanism, can provide prolonged disease control with good tolerability rather than recycling previously utilized drugs/mechanisms. The all oral XPd regimen will be evaluated in Study EMN29 against elotuzumab-Pd in patients who have received lenalidomide, a PI and an αCD38 mAb. Disclosures Lentzsch: Janssen: Consultancy; AbbVie: Consultancy; Celularity: Consultancy; GSK: Consultancy; Takeda: Consultancy; Karyopharm: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; 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. 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. Tuchman: Karyopharm: Research Funding; Shattuck Labs: Consultancy; Sanofi / Genzyme: Consultancy, Research Funding; Caelum: Consultancy, Research Funding; Oncopeptides: Consultancy. Bahlis: Takeda: Consultancy, Honoraria; Genentech: Consultancy; Amgen: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria. Bensinger: BMS, Janssen, Poseida, Regeneron, Trillium: Research Funding; Amgen, BMS, Janssen, Sanofi: Speakers Bureau. Sebag: Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Bristol Myers-Squibb: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; Janssen: Research Funding. Sutherland: Janssen: Consultancy, Research Funding; GSK: Research Funding; Karyopharm: Research Funding; Celgene: Consultancy; Amgen: Consultancy. Monge: Bristol Myers Squibb: Consultancy; Karyopharm Therapeutics: Research Funding. Gasparetto: Karyopharm Therapeutics Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES, Speakers Bureau; Oncopeptite: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy; Connect Registry: Membership on an entity's Board of Directors or advisory committees. Baljevic: Exelixis: Research Funding; Karyopharm: Other: Advisory Board; BMS/Celgene: Other: Advisory Board; Janssen Research: Other: Advisory Board; Oncopeptides: Other: Advisory Board; BMS/Celgene: Consultancy; Amgen: Research Funding. Venner: Janssen: Honoraria; Sanofi: Honoraria; Amgen: Honoraria; BMS: Honoraria; GSK: Honoraria; Takeda: Honoraria. White: Amgen, Antengene, BMS/Celgene, Forus, GSK, Janssen, Karyopharm, Sanofi, Takeda: Consultancy, Honoraria. Kotb: Takeda: Honoraria; Karyopharm: Current holder of individual stocks in a privately-held company; Amgen: Honoraria; BMS: Honoraria; Celgene: Honoraria; Janssen: Honoraria; Sanofi: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Akcea: Honoraria; Pfizer: Honoraria. Chen: BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astrazeneca: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy. Schiller: Celator: Research Funding; Amgen: Consultancy, Current equity holder in publicly-traded company, Honoraria, Research Funding, Speakers Bureau; Mateon: Research Funding; Stemline Therapeutics, Inc.: Honoraria, Research Funding, Speakers Bureau; Tolero: Research Funding; Constellation Pharmaceuticals: Research Funding; Takeda: Research Funding; Abbvie: Research Funding; Sangamo: Research Funding; Trovagene: Research Funding; Johnson & Johnson: Current equity holder in publicly-traded company; Cyclacel: Research Funding; Bluebird Bio: Research Funding; Boehringer-Ingleheim: Research Funding; Forma: Research Funding; Daiichi-Sankyo: Research Funding; Bio: Research Funding; Ono-UK: Consultancy, Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Delta-Fly: Research Funding; FujiFilm: Research Funding; Deciphera: Research Funding; Arog: Research Funding; Kite/Gilead: Honoraria, Research Funding, Speakers Bureau; PrECOG: Research Funding; Pfizer: Current equity holder in publicly-traded company, Research Funding; Onconova: Re
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".