Odronextamab monotherapy in patients with relapsed/refractory diffuse large B cell lymphoma: primary efficacy and safety analysis in phase 2 ELM-2 trial
Why this work is in the frame
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Bibliographic record
Abstract
The phase 2, multicohort, ongoing ELM-2 study evaluates odronextamab, a CD20×CD3 bispecific antibody, in patients with relapsed/refractory (R/R) B cell non-Hodgkin lymphoma after ≥2 lines of therapy. Here primary analysis of the diffuse large B cell lymphoma (DLBCL) cohort is reported. Patients received intravenous odronextamab in 21-day cycles until progression or unacceptable toxicity, with cycle 1 step-up dosing to mitigate cytokine release syndrome (CRS) risk. The primary endpoint was objective response rate (ORR). Secondary endpoints included complete response (CR) rate, duration of response, progression-free survival (PFS) and overall survival. A total of 127 patients were enrolled. At the 29.9-month efficacy follow-up, the ORR was 52.0% and CR rate was 31.5%. Median durations of response and CR were 10.2 and 17.9 months, respectively. Undetectable minimal residual disease at cycle 4 day 15 was associated with PFS benefit. With a step-up of 0.7 to 4 to 20 mg (n = 60), CRS was the most common treatment-emergent adverse event (53.3% (grade ≥3, 1.7%)). No immune effector cell-associated neurotoxicity syndrome was reported. Infections were reported in 82/127 (64.6%) patients (grade ≥3, 38.6%; coronavirus disease 2019, 18.1% (grade ≥3, 12.6%)). In conclusion, odronextamab showed encouraging efficacy in heavily pretreated R/R DLBCL and generally manageable safety with supportive care. Clinical trial registration: NCT03888105 .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it