Efficacy and safety of carfilzomib regimens in multiple myeloma patients relapsing after autologous stem cell transplant: ASPIRE and ENDEAVOR outcomes
Bibliographic record
Abstract
Autologous stem cell transplantation (ASCT) is a standard treatment for eligible multiple myeloma (MM) patients, but many patients will relapse after ASCT and require subsequent therapy. The proteasome inhibitor carfilzomib is approved for relapsed or refractory MM (RRMM). In phase 3 trials, carfilzomib-based regimens (ASPIRE, carfilzomib-lenalidomide-dexamethasone; ENDEAVOR, carfilzomib-dexamethasone) demonstrated superior progression-free survival (PFS) compared with standard therapies for RRMM (ASPIRE: lenalidomide-dexamethasone; ENDEAVOR, bortezomib-dexamethasone). This subgroup analysis of ASPIRE and ENDEAVOR evaluated outcomes according to prior ASCT status. In total, 446 patients in ASPIRE and 538 in ENDEAVOR had prior ASCT. Median PFS was longer for carfilzomib-based regimens vs non-carfilzomib-based regimens for patients with prior ASCT (ASPIRE: 26.3 vs 17.8 months (hazard ratio (HR)=0.68); ENDEAVOR: not estimable vs 10.2 months (HR=0.61)), those with one prior line of therapy that included ASCT (ASPIRE: 29.7 vs 17.8 months (HR=0.70); ENDEAVOR: not estimable vs 11.2 months (HR=0.46)), and those without prior ASCT (ASPIRE: 26.4 vs 16.6 months (HR=0.76); ENDEAVOR: 17.7 vs 8.5 months (HR=0.43)). Overall response rates also favored the carfilzomib-based regimens. No new safety signals were detected. This analysis suggests that carfilzomib-based treatment may lead to improvement in PFS and response rates regardless of prior transplant status. Further evaluation is warranted.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".