Long-term safety and efficacy of pomalidomide (POM) with or without low-dose dexamethasone (LoDEX) in relapsed and refractory multiple myeloma (RRMM) patients enrolled in the MM-002 phase II trial.
Bibliographic record
Abstract
8588 Background: MM-002 is a randomized, open-label, multicenter phase II trial evaluating the safety and efficacy of POM with or without LoDEX in advanced RRMM pts. Methods: Pts who had received ≥ 2 prior therapies, including lenalidomide (LEN) and bortezomib (BORT), and were refractory to their last treatment were randomized to POM+LoDEX (POM 4 mg/day, days 1–21 of a 28-day cycle; LoDEX 40 mg/week) or POM alone. End points included progression-free survival (PFS), response rate (according to EBMT criteria and investigator assessment), response duration, overall survival (OS), and safety. The efficacy outcomes are based on the intent-to-treat population (POM+LoDEX, n = 113; POM, n = 108). Results: The median number of prior therapies in each group was 5 (range 1–13). In the POM+LoDEX arm, 30 (27%) pts had high-risk cytogenetics, including del(17p13) and/or t(4p16/14q32). The overall response rate (≥ partial response) was 34% and 15% with POM+LoDEX and POM, respectively, with a median duration of 8.3 (95% CI: 5.8–10.1) and 8.8 (95% CI: 5.5–11.4) mos, respectively. At least minimal response was observed in 45% and 31% of pts, respectively. Median PFS was 4.6 (95% CI: 3.6–5.5) and 2.6 (95% CI: 1.9–2.8) mos with POM+LoDEX and POM, respectively, with a median follow-up of 16.0 and 12.2 mos. Median OS was 16.5 (95% CI: 12.4–18.5) and 13.6 (95% CI: 9.6–18.1) mos, respectively. The most common treatment emergent Gr 3/4 adverse events (AEs) reported in the safety population (n = 219) were neutropenia (44%), anemia (23%), thrombocytopenia (21%), and pneumonia (18%); there were no reports of Gr 3/4 peripheral neuropathy. The incidence of deep-vein thrombosis was low (2%). AEs were managed through dose reductions or interruptions, and supportive care with G-CSF (52%), RBC transfusions (47%), and platelet transfusions (17%). Discontinuations due to AEs were 10%. Conclusions: POM with or without LoDEX is clinically effective and generally well tolerated in RRMM pts who have received multiple prior treatments, including LEN and BORT. AEs were predictable and manageable. Updated data will be presented at the meeting. Clinical trial information: NCT00833833.
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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) | 0.002 | 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".