Pivotal DREAMM-2 study: Single-agent belantamab mafodotin (GSK2857916) in patients with relapsed/refractory multiple myeloma (RRMM) refractory to proteasome inhibitors (PIs), immunomodulatory agents, and refractory and/or intolerant to anti-CD38 monoclonal antibodies (mAbs).
Bibliographic record
Abstract
8536 Background: Single-agent belantamab mafodotin (B-cell maturation antigen targeting immunoconjugate) showed clinically meaningful activity and manageable safety in patients with heavily pre-treated RRMM (DREAMM-2, NCT03525678, Lancet Oncol.2020). We report updated results (median follow-up 9 months). Methods: DREAMM-2 is an ongoing single-agent belantamab mafodotin (2.5 or 3.4 mg/kg) study in patients with RRMM after ≥3 prior therapy lines and refractory to an immunomodulatory agent, a PI, and refractory and/or intolerant to an anti-CD38 mAb. Primary endpoint: overall response rate (ORR; ≥partial response per independent review committee). Results: ORR was 31% in the 2.5 mg/kg (19% with ≥very good partial responses [VGPR]) and 35% (24% with ≥VGPR) in the 3.4 mg/kg groups (Table). Duration of response (DoR) was not reached (NR) in the 2.5 mg/kg and 6.2 months in the 3.4 mg/kg groups; 1-year overall survival (OS) estimate was 53%. Common Grade 3/4 AEs ( > 10% in either group) were keratopathy (2.5: 29%; 3.5: 24%), thrombocytopenia (2.5: 21%; 3.4: 32%), anemia (2.5: 20%; 3.4: 27%), pneumonia (2.5: 6%; 3.4: 13%), and neutropenia (2.5: 11%; 3.4: 16%). AEs were managed with dose delays (2.5: 54%; 3.4: 62%) and reductions (2.5: 34%; 3.4: 43%); discontinuations due to AEs were uncommon (2.5: 9%; 3.4: 12%). Conclusions: Single-agent belantamab mafodotin was well-tolerated, and clinically meaningful responses were sustained despite dose modifications with longer follow-up. Funding: GlaxoSmithKline (205678). Drug linker technology licensed from Seattle Genetics; monoclonal antibody produced using POTELLIGENT Technology licensed from BioWa. Clinical trial information: NCT03525678 . [Table: see text]
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".