Real-world data for tisagenlecleucel in patients with R/R B-ALL: subgroup analyses from the CIBMTR registry
Bibliographic record
Abstract
ABSTRACT: Since the first approval of tisagenlecleucel in 2017, pediatric and young adult patients with relapsed/refractory B-cell acute lymphoblastic leukemia (B-ALL) may receive this CD19-directed chimeric antigen receptor T-cell therapy. We report real-world data from the Center for International Blood and Marrow Transplant Research (>2.5 years of follow-up). As of 4 May 2022, 768 patients with B-ALL had received tisagenlecleucel. Patients aged ≥18 and <18 years of age (including those <3 years) were treated during first relapse (26.6% and 26.7% [<3 years, 44.8%], respectively) or primary refractory disease (12.4% and 12.1% [<3 years, 15.5%], respectively) with 17.6% and 11.6% (<3 years, 13.8%), respectively, having high disease burden (≥50% bone marrow [BM] blasts) and 20.2% and 20.2% (<3 years, 13.8%), respectively, having low disease burden (>0 to <5% BM blasts). Among patients with ≥12 months postinfusion follow-up (n = 578; median follow-up, 32.1 months), the best overall response of complete remission/complete remission with incomplete blood count recovery was 86.0%. The 12-month relapse-free survival (RFS) and overall survival (OS) were 61.8% and 79.4%, respectively, whereas the 24-month RFS and OS were 50.3% and 63.8%, respectively. Age (<18 years) and disease burden (<50% BM blasts) were associated with better outcomes. Previous inotuzumab therapy and KMT2A rearrangement were associated with worse outcomes. Older patients (≥18 years) experienced a higher rate of any-grade cytokine release syndrome (CRS) associated with higher disease burden before infusion. Any-grade CRS and neurotoxicity were lower in patients aged <3 years. Extended follow-up continues to demonstrate high rates of RFS and favorable safety in this population.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".