Real-world evaluation of teclistamab for the treatment of relapsed/refractory multiple myeloma (RRMM): an International Myeloma Working Group Study
Why this work is in the frame
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Bibliographic record
Abstract
Teclistamab, a BCMAxCD3-directed bispecific antibody, has shown high response rates and durable remissions in triple-class-exposed patients with relapsed/refractory multiple myeloma. We performed a retrospective study evaluating the efficacy and safety of teclistamab in 210 patients treated at 9 academic centers from five countries within the IMWG Immunotherapy Working Group Committee. Patients were heavily pretreated, with 83% having triple-class refractory disease and 44% with prior BCMA-targeted therapy. With a median follow-up of 5.3 months, the overall response rate (ORR) was 67% in 188 response-evaluable patients, including 55% with a very good partial response or better. The 6-month progression-free survival (PFS) and overall survival rates were 53% (95% CI, 46-61%) and 73% (67-80%), respectively. Patients who received prior BCMA-directed therapy compared to BCMA-treatment-naïve patients had a lower ORR (58.3 vs 74.0%; P = 0.03) and PFS (6-month PFS 43% [95% CI, 33-55%] vs 63% [54-73%]; logrank P = 0.004). Step-up dosing occurred in an outpatient setting for 23% of patients. CRS occurred in 54% of patients, and infections were reported in 56.2% of patients, with 22% having grade ≥3 infections. In this multicenter real-world study, we found that teclistamab can lead to rapid responses in heavily pretreated myeloma patients with comparable efficacy and safety profiles, as demonstrated in MajesTEC-1.
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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 | 0.001 | 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 it