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Results from the randomized phase III DREAMM-7 study of belantamab mafodotin (belamaf) + bortezomib, and dexamethasone (BVd) vs daratumumab, bortezomib, and dexamethasone (DVd) in relapsed/refractory multiple myeloma (RRMM).

2024· article· en· W4391559535 on OpenAlexaff
María‐Victoria Mateos, Paweł Robak, Marek Hus, Zhongjun Xia, Vera Zherebtsova, Christopher Wård, P. Joy Ho, Roman Hájek, Kihyun Kım, Meletios Α. Dimopoulos, Claudio Cerchione, Antonio Riccio, Astrid McKeown, Rachel Rogers, Hena Baig, Lydia Eccersley, Sumita Roy–Ghanta, Joanna Opalinska, Vânia Hungria

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsGlaxoSmithKline (Canada)
Fundersnot available
KeywordsMedicineBortezomibDaratumumabDexamethasoneMultiple myelomaInternal medicineRefractory (planetary science)Oncology

Abstract

fetched live from OpenAlex

439572 Background: Belamaf, a BCMA-targeted antibody drug conjugate, has previously demonstrated clinical activity and a manageable safety profile, supporting its use in combination with standard-of-care (SoC) therapies in RRMM. DREAMM-7 (NCT04246047) is a global, randomized, open-label, phase III head-to-head trial evaluating the efficacy and safety of BVd triplet vs SoC triplet, DVd, in patients (pts) with RRMM with ≥1 prior line of therapy (LOT). Methods: Pts with ≥1 prior LOT were randomized (1:1) to BVd: B 2.5 mg/kg IV Q3W + V 1.3 mg/m2 (D1, 4, 8, 11 of 21-day cycles (C); up to 8 C) + d 20 mg (D1, 2, 4, 5, 8, 9, 11, 12; up to 8 C) or DVd: D 16 mg/kg (21-day C), C1-3, Q1W, C4-8, Q3W, and Q4W from C 9 on); V and d schedules were the same. The primary endpoint was independent review committee-assessed progression free survival (PFS). Secondary endpoints available include overall survival (OS), duration of response (DOR), overall response rate (ORR). Results: 494 pts were randomized (BVd n = 243, DVd n = 251). With a median (range) follow-up of 28.2 mo (0.10-40 mo), the median PFS (mPFS) in the BVd arm was 36.6 mo (95% CI, 28.4 mo-NR) vs 13.4 mo (11.1-17.5 mo) with DVd; hazard ratio (HR) 0.41 (95% CI, 0.31-0.53; p < 0.00001). OS data was 29% mature; median OS was not reached in either arm; HR, 0.57 (95% CI, 0.40-0.80; nominal p < 0.0005). ORR was 82.7% (95% CI, 77.4-87.3%) with BVd and 71.3% (65.3-76.8%) with DVd. Median DOR (mDOR) was 35.6 mo (95% CI, 30.5 mo-NR) for BVd vs 17.8 mo (13.8-23.6 mo) for DVd. All pts in both arms experienced ≥1 AE (Table). Grade 3/4 treatment-related AEs (TRAE) were reported in 90% of pts in the BVd arm and 67% with DVd. Serious AEs (SAE) were reported in 50% of pts in BVd vs 37% in DVd arm. Ocular AEs were more frequent on BVd vs DVd (79% vs 29%) and were manageable. Conclusions: The DREAMM-7 head-to-head study of BVd vs DVd demonstrated statistically significant PFS benefit of BVd with a mPFS improvement of 23 mo in pts with RRMM with ≥1 prior LOT. A strong and clinically meaningful OS benefit (nominal p < 0.0005) was observed. Additionally, BVd led to greater depth of response and doubling of mDOR vs DVd and had a manageable safety profile. These results support BVd as a potential new SoC in this setting. Clinical trial information: NCT04246047 . [Table: see text]

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)0.004
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.101
GPT teacher head0.455
Teacher spread0.354 · 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".

Quick stats

Citations21
Published2024
Admission routes1
Has abstractyes

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