Belantamab mafodotin, pomalidomide, and dexamethasone for triple class exposed/refractory relapsed multiple myeloma: a subgroup analysis of the ALGONQUIN trial
Bibliographic record
Abstract
Given the early use of triplet and quadruplet regimens, most patients with multiple myeloma (MM) will be exposed and/or refractory to PIs, IMiDs, and anti-CD38 mAbs after first- or second-line treatment. Effective treatment for this group of triple class exposed/refractory (TCE/R) patients is crucial. Here we present a post-hoc subgroup analysis of TCE/R patients treated on the ALGONQUIN study of belantamab mafodotin plus pomalidomide-dexamethasone (belamaf-Pd) for relapsed MM. Of the 99 patients treated on the ALGONQUIN study, 69 were TCE and 56 were TCR and were included in this analysis. Patients had a median of three prior lines of therapy. The ORR was 86.4% in TCE patients and 84.9% in TCR patients, with ≥ very good partial response rates of 64% and 68% respectively. The median progression free survival was 18.3 months in TCE patients and 19.6 months in TCR patients, with overall survival not yet reached and 34.4 months, respectively for TCE and TCR patients. No new safety signals were identified. The most common Grade ≥ 3 AEs were keratopathy (48%), decreased visual acuity (42%), neutropenia (36%), thrombocytopenia (27%), and infection (25%). In this subgroup analysis of the ALGONQUIN study, patients with TCE/TCR disease treated with belamaf-Pd achieved high clinical response rates with durable remissions, comparable to other novel therapeutics in this space.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".