Pharmacogenetics of Intravenous and Oral Busulfan in Hematopoietic Cell Transplant Recipients
Bibliographic record
Abstract
Kinetics-based dose targeting is often conducted in hematopoietic cell transplant (HCT) patients conditioned with intravenous (IV) or oral busulfan to lower rates of rejection, nonrelapse mortality, and relapse. Using the candidate gene approach, the authors evaluated whether busulfan clearance was associated with polymorphisms in the genes regulating the predominant metabolizing enzymes involved in busulfan conjugation, specifically glutathione S-transferase (GST) isoenzymes A1 (GSTA1) and M1 (GSTM1). Busulfan clearance was estimated after the morning dose on days 1, 2, and 3; each patient's average clearance was used for analyses. The average (± standard deviation) busulfan clearance was 3.2 ± 0.56 mL/min/kg in the separate population of 95 patients who received oral busulfan and 103 ± 24 ml/min/m(2) in the 57 patients who received IV busulfan. Oral busulfan clearance was associated with GSTA1 (P = .008) but not GSTM1 (P = .57) genotypes. However, among the GSTA1 haplotypes (ie, *A*A, *A*B, *B*B), there was significant overlap in the observed oral busulfan clearance and similar rates of achieving the target busulfan exposure. Clearance of IV busulfan was not associated with GSTA1 (P = .21) or GSTM1 (P = .99). These data suggest that personalizing either IV or oral busulfan dosing cannot be simplified on the basis of GSTA1 or GSTM1 genotype.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".