The effect of race on the CYP3A-mediated metabolism of vincristine in pediatric patients with acute lymphoblastic leukemia
Bibliographic record
Abstract
OBJECTIVE: The purpose of this preliminary study was to compare racial background and CYP3A distribution in pediatric acute lymphoblastic leukemia patients as it relates to vincristine-related neurotoxicity. METHODS: Patients with B-precursor acute lymphoblastic leukemia treated at Children's Hospital of Michigan were eligible to participate in this study. Determination of the CYP3A variant for each patient was done using Qiagen DNA Blood Mini Kit and polymerase chain reaction amplification. Patients were monitored during their leukemia treatment course for vincristine-related neurotoxicity. RESULTS: Fifty-four patients were enrolled. Twenty-nine Caucasian patients (81%) and 13 African-American patients (77%) experienced neurotoxicity. CYP3A genotyping was done for 52 patients. Two African-American and two Caucasian patients were homozygous A/A for the CYP3A5*3 polymorphism. Three of these patients (75%) experienced grade 2 neuropathy. Two Caucasian patients and one African-American patient were heterozygous A/G. Two of these patients (66.7%) experienced grade 2 or 3 neuropathy. Thirty-five patients (67.3%) were homozygous for the mutant inactive G/G allele for CYP3A5*3, eight African-American and 27 Caucasian patients. Of these, six of the African-American patients (75%) and 22 of the Caucasian patients (81.5%) experienced neuropathy. CONCLUSION: The CYP3A5*3 genotype causes very low expression of the CYP3A5 protein and hence decreased vincristine metabolism. In this study, patients who expressed CYP3A5*3 had an increased incidence of vincristine-related neurotoxicity. Overall, a greater percentage of Caucasian patients had documented incidences of neurotoxicity. A larger sample size and more detailed gene analysis are needed for future studies.
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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 | 0.002 |
| 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) | 0.002 | 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".