The Changing Role of Allogeneic Stem Cell Transplantation in Adult B-ALL in the Era of CAR T Cell Therapy
Bibliographic record
Abstract
The treatment of B-cell acute lymphoblastic leukemia (B-ALL) in adults remains a significant therapeutic challenge. While advances in chemotherapy and targeted and immunotherapies have improved overall survival, relapsed or refractory (r/r) adult ALL is associated with poor outcomes. CD19-directed chimeric antigen receptor (CAR) T-cell therapy has emerged as a transformative option, achieving high remission rates even in heavily pretreated patients. However, relapse is common. Allogeneic hematopoietic stem cell transplantation (allo-HCT), a traditional cornerstone of remission consolidation, may improve long-term outcomes but carries risks of transplant-related mortality (TRM) and morbidity. Most evidence for HCT after CAR T therapy comes from retrospective analyses of subgroups from CAR T cell trials, with small sample sizes and inconsistent data on transplant procedures and outcomes. Despite these limitations, consolidative allo-HCT appears to prolong relapse-free survival (RFS). While overall survival (OS) benefits are in question, extended remission duration has been observed. Nonrelapse mortality (including TRM), ranging from 2.4 to 35%, underscores the need for careful patient selection. Emerging real-world data affirm these findings but highlight the importance of individualized decisions based on disease and treatment history. This review examines current evidence on the sequential use of CD19-directed CAR T-cell therapy and allo-HCT in adults with r/r B-ALL.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".