Efficacy and safety of teclistamab in patients with relapsed/refractory multiple myeloma after BCMA-targeting therapies
Bibliographic record
Abstract
ABSTRACT: Teclistamab is a B-cell maturation antigen (BCMA)-directed bispecific antibody approved for the treatment of patients with triple-class exposed relapsed/refractory multiple myeloma (R/RMM). In the phase 1/2 MajesTEC-1 study, a cohort of patients who had prior BCMA-targeted therapy (antibody-drug conjugate [ADC] or chimeric antigen receptor T-cell [CAR-T] therapy) was enrolled to explore teclistamab in patients previously exposed to anti-BCMA treatment. At a median follow-up of 28.0 months (range, 0.7-31.1), 40 patients with prior BCMA-targeted therapy had received subcutaneous 1.5 mg/kg weekly teclistamab. The median prior lines of treatment was 6 (range, 3-14). Prior anti-BCMA therapy included ADC (n = 29), CAR-T (n = 15), or both (n = 4). The overall response rate was 52.5%; 47.5% of patients achieved very good partial response or better, and 30.0% achieved complete response or better. The median duration of response was 14.8 months, the median progression-free survival was 4.5 months, and the median overall survival was 15.5 months. The most common treatment-emergent adverse events (TEAEs) were neutropenia, infections, cytokine release syndrome, and anemia; cytopenias and infections were the most common grade ≥3 TEAEs. Infections occurred in 28 patients (70.0%; maximum grade 3/4, n = 13 [32.5%]; grade 5, n = 4 [10%]). Before starting teclistamab, baseline BCMA expression and immune characteristics were unaffected by prior anti-BCMA treatment. The MajesTEC-1 trial cohort C results demonstrate favorable efficacy and safety of teclistamab in patients with heavily pretreated R/RMM and prior anti-BCMA treatment. This trial was registered at www.ClinicalTrials.gov as #NCT03145181 and #NCT04557098.
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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) | 0.000 | 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".