Real‐World Treatment Patterns and Clinical Outcomes Among Patients With Triple‐Class–Exposed and BCMA‐Exposed Multiple Myeloma Within the United States
Bibliographic record
Abstract
Introduction: A novel therapy for heavily pretreated triple-class-exposed multiple myeloma (TCE MM) is B-cell maturation antigen (BCMA)-targeted immunotherapy. While the number of TCE+BCMA-exposed patients is growing, real-world data for this group are limited. Methods: We present real-world data from patients with TCE+BCMA-exposed MM who initiated a subsequent line of therapy (LOT) using a US-based claims database, Komodo's Healthcare Map. Results: We identified 656 TCE+BCMA-exposed patients; mean age was 66.5 years. Time from MM diagnosis to index was 5.4 years; mean number of prior LOTs was 5.9. The most prevalent prior therapy received within each drug class was daratumumab (98.5%), pomalidomide (86.0%), carfilzomib (85.8%) and belantamab mafodotin (74.5%). A total of 137 different subsequent treatment regimens were observed following TCE+BCMA exposure; the most common regimen was teclistamab (10.4%). The top three targeted agents within the subsequent regimen were carfilzomib (20.2%), pomalidomide (20.1%) and bortezomib (16.6%). Among this TCE+BCMA-exposed population who received subsequent treatment, the median time to next treatment or death was 6.8 (95% CI, 6.1-7.5) months; time to treatment discontinuation or death was 3.5 (95% CI, 3.2-3.7) months. Conclusion: This first real-world analysis of patients with heavily pretreated TCE+BCMA-exposed MM shows poor clinical outcomes, frequent therapy retreatment and no standard-of-care, highlighting the need for novel treatments. Clinical Trial Registration: The authors have confirmed clinical trial registration is not needed for this submission.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".