Impact of immune modulation with in vivo T-cell depletion and myleoablative total body irradiation conditioning on outcomes after unrelated donor transplantation for childhood acute lymphoblastic leukemia
Bibliographic record
Abstract
To determine whether in vivo T-cell depletion, which lowers GVHD, abrogates the antileukemic benefits of myeloablative total body irradiation-based conditioning and unrelated donor transplantation, in the present study, we analyzed 715 children with acute lymphoblastic leukemia. Patients were grouped for analysis according to whether conditioning included antithymocyte globulin (ATG; n = 191) or alemtuzumab (n = 132) and no in vivo T-cell depletion (n = 392). The median follow-up time was 3.5 years for the ATG group and 5 years for the alemtuzumab and T cell-replete groups. Using Cox regression analysis, we compared transplantation outcomes between groups. Compared with no T-cell depletion, grade 2-4 acute and chronic GVHD rates were significantly lower after in vivo T-cell depletion with ATG (relative risk [RR] = 0.66; P = .005 and RR = 0.55; P < .0001, respectively) or alemtuzumab (RR = 0.09; P < .003 and RR = 0.21; P < .0001, respectively). Despite lower GVHD rates after in vivo T-cell depletion, nonrelapse mortality, relapse, overall survival, and leukemia-free survival (LFS) did not differ significantly among the treatment groups. The 3-year probabilities of LFS after ATG-containing, alemtuzumab-containing, and T cell-replete transplantations were 43%, 49%, and 46%, respectively. These data suggest that in vivo T-cell depletion lowers GVHD without compromising LFS among children with acute lymphoblastic leukemia who are undergoing unrelated donor transplantation with myeloablative total body irradiation-based regimens.
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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".