Teclistamab plus Daratumumab in Relapsed or Refractory Multiple Myeloma
Bibliographic record
Abstract
BACKGROUND: In a phase 1-2 trial, teclistamab, a bispecific antibody targeting CD3 on T-cell surfaces and B-cell maturation antigen on myeloma cells, showed durable responses in heavily pretreated patients with relapsed or refractory multiple myeloma. Daratumumab, a monoclonal antibody targeting CD38 protein, has shown survival benefit in patients with multiple myeloma. METHODS: In this phase 3 trial, we randomly assigned patients with one to three previous lines of therapy to receive combination therapy with teclistamab-daratumumab or daratumumab combined with dexamethasone plus the investigator's choice of pomalidomide (DPd) or bortezomib (DVd) - the DPd or DVd group. The primary end point was progression-free survival, as assessed by an independent review committee. RESULTS: ; 58.4% vs. 17.1%) (P<0.001 for all comparisons). Serious adverse events occurred in 70.7% of the patients in the teclistamab-daratumumab group and in 62.4% of those in the DPd or DVd group; death from adverse events occurred in 7.1% and 5.9%, respectively. CONCLUSIONS: In patients with multiple myeloma who had received one to three previous lines of therapy, those in the teclistamab-daratumumab group had significantly longer progression-free survival than those in the DPd or DVd group. (Funded by Johnson & Johnson; ClinicalTrials.gov number, NCT05083169.).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".