Pharmacogénétique de la leucémie lymphoblastique aiguë
Bibliographic record
Abstract
Pharmacogenomics of acute lymphoblastic leukemia (ALL) evolved rapidly in the past few years. Majority of recent findings concerns knowledge on key components of ALL treatment, 6-mercaptopurine and methotrexate. Leukemia is the most common cancer affecting children, with ALL comprising 80 % of all leukemia cases. Introduction of treatment protocols composed of several chemotherapeutic agents improved importantly survival in patients with ALL. Nevertheless, ALL is still the leading cause of cancer-related death in children. Interindividual differences in drug responses are an important cause of resistance to treatment and adverse drug reactions. Identifying pharmacogenomic determinants of drugs used in ALL treatment may allow for prospective identification of patients with suboptimal drug responses allowing for complementation of traditional treatment protocols by genotype-based drug dose adjustment.
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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 | 0.013 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".