C002 | SUBCUTANEOUS DARATUMUMAB + BORTEZOMIB/LENALIDOMIDE/DEXAMETHASONE WITH DARA + LENALIDOMIDE MAINTENANCE IN TRANSPLANT-ELIGIBLE PATIENTS WITH NDMM: ANALYSIS OF SUSTAINED MINIMAL RESIDUAL DISEASE NEGATIVITY IN THE PHASE 3 PERSEUS TRIAL
Bibliographic record
Abstract
Minimal residual disease (MRD) negativity (neg) and sustained MRD neg are associated with longer survival and are strong prognostic clinical endpoints. PERSEUS (NCT03710603) evaluated subcutaneous daratumumab (Dara) + bortezomib/lenalidamide/dexamethasone (VRd) induction/consolidation (ind/consol) + Dara + lenalidamide (DR) maintenance (maint) vs VRd ind/consol + R maint in transplant-eligible (TE) newly-diagnosed multiple myeloma (NDMM). DVRd significantly improved PFS, complete response or better rate (≥CR), and MRD neg rate. Nearly two-thirds of patients (pts) on DR maint could stop treatment (tx) after achieving sustained remission, leading to DVRd being recommended by NCCN as a preferred TE NDMM regimen. Here, we report the impact of sustained MRD neg status on PFS in PERSEUS. TE pts with NDMM age 18–70 years (y) were randomized 1:1 to DVRd (DVRd ind/consol + DR maint) or VRd (VRd ind/consol + R maint). The primary endpoint was PFS; MRD neg rate (MRD neg 10-5 and ≥CR) was a key secondary endpoint. Sustained MRD neg, assessed in the intent-to-treat population, was defined as confirmed MRD neg ≥12 months (mo) apart and without MRD positivity in between. Functionally high risk (FHR) was defined as disease progression ≤18 mo from tx initiation, excluding pre-progression deaths. A total of 709 pts were assigned to DVRd (n=355) or VRd (n=354). At 47.5-mo median follow-up, ≥12-mo sustained MRD neg rates were higher overall with DVRd (64.8%; n=230) vs VRd (29.7%; n=105), and across clinically relevant subgroups, including age ≥65 y and high-risk cytogenetics. Similarly, ≥24-mo sustained MRD neg rates were higher with DVRd (55.8%; n=198) vs VRd (22.6%; n=80). Pts with ≥12-mo sustained MRD neg vs those without had improved 48-mo PFS rates regardless of tx arm (Table 1). DVRd vs VRd reduced FHR rates (3.1% vs 6.8%), and rates of FHR or pre-progression deaths were lower with DVRd vs VRd (5.4% vs 11.0%) in the first 18 mo. In TE NDMM, nearly two-thirds of pts treated with DVRd induction and DR maint achieved ≥12-mo sustained MRD neg, associated with >95% 48-mo PFS rate. Moreover, ≥24-mo sustained MRD neg rates with DVRd were 2.5 times as high as VRd, and FHR incidence was halved with DVRd vs VRd. Collectively, these data further support the PERSEUS regimen as standard of care for TE NDMM.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".