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Weekly selinexor, bortezomib, and dexamethasone (SVd) versus twice weekly bortezomib and dexamethasone (Vd) in patients with multiple myeloma (MM) after one to three prior therapies: Initial results of the phase III BOSTON study.

2020· article· en· W3029230186 on OpenAlexaff
Meletios Α. Dimopoulos, Sosana Delimpasi, Maryana Simonova, Ivan Špıčka, Luděk Pour, Iryna Kryachok, Maria Gavriatopoulou, Halyna Pylypenko, Holger W. Auner, Xavier Leleu, Vadim Doronin, Polina Kaplan, Roman Hájek, Reuben Benjamin, Tuphan Kanti Dolai, Dinesh Kumar Sinha, Melina Arazy, Paul G. Richardson, Nizar J. Bahlis, Sebastian Grosicki

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsInstitute of Cancer ResearchUniversity of Calgary
FundersKaryopharm Therapeutics
KeywordsMedicineBortezomibDexamethasoneMultiple myelomaInternal medicineClinical endpointSurrogate endpointRandomizationOncologyPhases of clinical researchGastroenterologySurgeryRandomized controlled trialClinical trial

Abstract

fetched live from OpenAlex

8501 Background: Selinexor is an oral, selective inhibitor of XPO1-mediated nuclear export, leading to the reactivation of tumor suppressor proteins. In a phase 1b/2 study, the combination of once weekly (QW) selinexor with bortezomib and dexamethasone (SVd) was well tolerated with anti-MM activity in patients (pts) with PI-sensitive and PI-refractory disease. While twice weekly (BIW) bortezomib in combination therapy is efficacious, prolonged use is limited due to peripheral neuropathy (PN, 50-60%). The BOSTON study was designed to determine if SVd improves progression free survival (PFS), overall response rates (ORR) and reduces the rate of PN vs Vd. Methods: BOSTON is a global, phase 3, randomized study of QW SVd vs BIW Vd after 1-3 prior anti-MM regimens. The primary endpoint is PFS. Secondary endpoints include ORR, overall survival (OS) and PN (rates and EORTC QLQ-CIPN20 outcomes). Randomization is stratified by treatment with prior PI therapies, number of prior anti-MM regimens (1 vs > 1), and Revised International Staging System (R-ISS; Stage III vs I or II). Following confirmation of progressive disease, pts on Vd could cross over to either: 1) SVd for pts able to tolerate continued bortezomib or 2) selinexor and dexamethasone for pts with bortezomib intolerance. Results:402 pts were enrolled; 195 and 207 to SVd and Vd, respectively. Median age was 67 (range: 38-90). Most (59.6%) pts were > 65 years and 57.1% were male. R-ISS stage at the time of MM diagnosis was III for 18.5% of pts. Baseline characteristics were balanced across the 2 arms. SVd significantly prolonged PFS vs Vd (median 13.93 vs 9.46 months, HR = 0.70, P = 0.0066). SVd was associated with a significantly higher ORR (76.4% vs 62.3%, P = 0.0012). Median OS was not reached on SVd vs 25 months on Vd (P = 0.28). Most frequent treatment-related adverse events (grade ≥3) for SVd vs Vd were thrombocytopenia (35.9% vs 15.2%), fatigue (11.3% vs 0.5%) and nausea (7.7% vs 0%). Clinically important differences were reported on the motor, autonomic and sensory scales on CIPN20. PN rates (grade ≥2) were significantly lower with SVd vs Vd (21.0% vs 34.3%, P = 0.0013). Conclusions: BOSTON is the first phase 3 study to evaluate the clinical benefit of SVd for relapsed/refractory MM. The study met the primary endpoint: once weekly SVd significantly improved PFS and ORR compared to twice weekly Vd. Rates of PN were significantly reduced with numerically fewer deaths on SVd vs Vd. Full dataset will be presented at the meeting. Clinical trial information: NCT03110562 .

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)0.003
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.127
GPT teacher head0.438
Teacher spread0.312 · 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 designRandomized trial
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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Citations25
Published2020
Admission routes1
Has abstractyes

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