Standard-of-care idecabtagene vicleucel for relapsed/refractory multiple myeloma
Bibliographic record
Abstract
ABSTRACT: Idecabtagene vicleucel (ide-cel) was the first US Food and Drug Administration-approved chimeric antigen receptor T-cell (CAR-T) therapy for multiple myeloma (MM). However, because clinical trials are highly selective with stringent eligibility criteria, the objective of this study was to evaluate the safety and effectiveness of standard-of-care (SOC) ide-cel in the real world. Using the Center for International Blood and Marrow Transplant Research registry, we evaluated 821 patients who received SOC ide-cel. Median follow-up was 11.6 months. Median age was 66 years, and the cohort included 31% patients aged ≥70 years, with 15% Black and 7% Hispanic, and 77% of patients with ≥1 significant comorbidity. The median number of prior lines of therapy was 7, 15% patients previously received B-cell maturation antigen-directed therapy, 17% had extramedullary disease, and 27% had high-risk cytogenetics. Overall response rate was 73%, and complete response rate was 25%. Median progression-free survival was 8.8 months. Treatment-related mortality was reported in 6% of patients. Cytokine release syndrome was diagnosed in 80% of patients (grade ≥3, 3%). Immune effector cell-associated neurotoxicity syndrome was observed in 28% (grade ≥3, 5%), with no cases of Parkinsonism reported. Clinically significant infections were seen in 45% of patients. Second primary malignancies were reported in 4%, including 1% myeloid malignancies. This is, to our knowledge, the largest real-world study of ide-cel CAR-T therapy in patients with relapsed/refractory (R/R) MM. We observed a favorable safety and efficacy profile that mirrors trial experience, even in the setting of significant comorbidities in 77% of patients, many of which would have made them ineligible for the registrational KarMMa clinical trial. This trial was registered at www.clinicaltrials.gov as #NCT03361748.
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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) | 0.001 | 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 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".