Belantamab mafodotin (belamaf) for relapsed/refractory multiple myeloma (RRMM): A real-world observational study update.
Bibliographic record
Abstract
e20046 Background: A prior retrospective analysis of US patients (pts) with RRMM suggested that pts treated with belamaf, a BCMA-targeting antibody-drug conjugate, experienced similar outcomes to those who received belamaf in the pivotal DREAMM-2 study. This updated analysis aimed to characterize pts, assess occurrence and management of ocular adverse events (AEs), and evaluate belamaf effectiveness in a real-world setting. Methods: This retrospective, longitudinal, observational study used data sourced from the US EHR-derived Flatiron Health de-identified database (01/01/2011–06/30/2022). Eligible pts had a confirmed MM diagnosis, initiated belamaf after FDA approval (08/05/2020; first administration=index date), were ≥18 years old at index, and had chart abstraction data for ocular safety and treatment effectiveness. Data on ocular AEs were reported separately for all pts and pts with ≥4 months (mo) of follow-up to allow for sufficient follow-up to evaluate incidence of ocular AEs and their mitigations. Tumor response was assessed in all pts, along with Kaplan-Meier estimates of duration of response (DoR), overall survival (OS), and progression-free survival (PFS). Results: Of the 184 pts included in the study, mean age was 68.7 years; 64% were White and 47% were female. Eastern Cooperative Oncology Group (ECOG) status was ≥2 in 28% patients, 62% had received ≥5 prior lines of therapy, and 82% were triple-class refractory. Median (IQR) follow-up was 4.1 (1.9–8.5) mo. Among pts with ≥4 months of follow-up (n=94) 75% had ≥1 ocular AE, with keratopathy and blurred vision being the most frequent. Mean (SD) time to first ocular AE was 39 (34) days. Most ocular AEs were managed by therapy hold (69%; of which 73% restarted belamaf) and/or AE treatment (63%). The median dose hold due to ocular AEs was 43 days (physician-reported keratopathy: mild, 21 days; moderate/severe, 56 days). In all pts, 39 (21%) had a derived tumor response based on serum free light chain levels, (partial response: 74%, very good partial response: 51%). For all pts, the estimated median DoR was 9.1 mo, PFS 4.5 mo, and OS 7.9 mo, while the 6-month DoR rate was 57%, PFS rate was 46%, and OS rate was 58%. Conclusions: Overall, belamaf was effective in the real world setting in heavily pre-treated pts with RRMM and limited therapy options. The AE profile was consistent with DREAMM-2. Ocular AEs were manageable and despite their occurrence, a high percentage of pts remained on treatment, suggesting belamaf may fill an unmet need for triple-class refractory pts with RRMM. [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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".