Thiopurine S-Methyltransferase Pharmacogenetics in Childhood Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Pharmacogenetics is the growing field of study of genetic variations underlying interindividual differences in drug response. Inherited polymorphisms in genes coding for drug-metabolizing enzymes, transporters, and targets influence toxicity as well as efficacy associated with the medication. Thiopurines are agents widely used in hematologic malignancies, transplantation, and chronic inflammatory conditions. Myelosuppression is the commonly encountered dose-limiting toxicity. Polymorphisms in the thiopurine S-methyltransferase gene (TPMT), the predominant inactivating enzyme for thiopurines in hematopoietic tissue, are correlated with enzymatic activity of TPMT, thiopurine metabolism, and risk of clinical toxicity. In this chapter, we present TPMT genotype assessment that allows for prescribing pharmacogenetically guided doses to enhance patient safety and drug efficacy.
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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 | 0.000 | 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 | 0.000 | 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 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".