A phase 2 randomized study of modakafusp alfa as a single agent for patients with relapsed/refractory multiple myeloma
Bibliographic record
Abstract
ABSTRACT: Modakafusp alfa is a first-in-class immunocytokine-directing interferon alfa to CD38+ cells. Our previous phase 1/2 trial identified 2 potential phase 2 doses of modakafusp alfa for patients with relapsed/refractory multiple myeloma (RRMM): 1.5 or 3 mg/kg every 4 weeks. The overall response rate (ORR) among 30 patients treated at 1.5 mg/kg was 43%. This phase 2 dose optimization study randomized 147 patients with triple-class refractory disease and ≥3 previous lines of therapy 1:1 to modakafusp alfa 120 mg (n = 71) or 240 mg (n = 75) every 4 weeks (fixed-dose equivalents of 1.5 and 3 mg/kg every 4 weeks). Patients had received a median of 6 previous lines of therapy; 66% were penta-exposed and 45% had previously been exposed to anti-B-cell maturation antigen (BCMA) therapy. Modakafusp alfa development was discontinued for strategic reasons by the sponsor and the study was terminated early. At median follow-up of 7.3 and 7.6 months in the 120- and 240-mg arms, ORRs were 32% and 41%, and median progression-free survival was 4.1 and 5.3 months, respectively. ORRs were higher in patients who had not received previous BCMA therapy (46% vs 29%). The most common treatment-related adverse events (TEAEs) in the 120- and 240-mg arms were thrombocytopenia (75% and 84%; grade ≥3, 55% and 61%; respectively) and neutropenia (68% and 73%; grade ≥3, 56% and 68%; respectively); 90% and 96% of patients, respectively, experienced grade ≥3 TEAEs; 39% and 44%, respectively, experienced serious TEAEs. Our results confirm the efficacy of single-agent modakafusp alfa for patients with RRMM. This trial was registered at www.clinicaltrials.gov as #NCT03215030.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".