Efficacy and safety of elranatamab in patients with high-risk relapsed/refractory multiple myeloma (RRMM): A subgroup analysis from MagnetisMM-3.
Bibliographic record
Abstract
e20017 Background: Data from the ongoing phase 2 MagnetisMM-3 (NCT04649359) study demonstrated the efficacy and safety of elranatamab in patients (pts) with RRMM and no prior BCMA-directed therapy (Cohort A). Results in high-risk subgroups are reported. Methods: Eligibility criteria, dosing and administration were previously reported (Bahlis, ASH 2022). Subgroups analyzed were R-ISS stage (I/II/III ), cytogenetic abnormalities (standard/high risk [high-risk defined by the presence of t(4;14), t(14;16) or del(17p)]), extramedullary disease (EMD) at baseline (Y/N), bone marrow plasma cell involvement (BMPC) at baseline (<50%/≥50%), and penta-refractory disease (Y/N). Results include data up through ~12 months after last pt initial dose. Results: Median treatment durations and the proportions of pts receiving treatment at the data cut-off are reported in the Table. The most frequent cause of discontinuation was progressive disease which was higher for all high-risk subgroups than the corresponding lower risk subgroups. A clinical benefit, assessed by the objective response rate (ORR), was observed across subgroups (Table). A multivariable logistic regression analysis for ORR including baseline age, ECOG, sex, region, cytogenetic risk, presence of EMD, BMPC involvement, prior stem cell transplant, R-ISS stage, number of prior lines, type of myeloma, and penta-refractory disease showed presence of EMD at baseline and non-IgG myeloma (vs IgG) as predictive of lower ORR. Light chain-only myeloma (vs IgG) was predictive of higher ORR. Median duration of response (DOR) was not reached in subgroups by 12 months, DOR rate at 12 months is reported in the Table. Any grade TEAEs were reported in 100% of pts in the study. The incidence of grade 3/4 TEAEs was overall similar across subgroups (Table). Conclusions: Elranatamab is efficacious and has a manageable safety profile in pts with high-risk RRMM and no prior BCMA-directed therapy. Clinical trial information: NCT04649359 . [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".