Influence of xanthine oxidase and inosine monophosphate dehydrogenase polymorphisms on 6-mercaptopurine treatment response in pediatric acute lymphoblastic leukemia
Bibliographic record
Abstract
Over the past decades, survival outcomes for childhood acute lymphoblastic leukaemia (ALL) have significantly improved. However, adverse drug reactions (ADRs), particularly those related to 6-mercaptopurine (6-MP), remain a major concern. Myelosuppression associated with 6-MP administration can lead to infections or treatment interruptions. Excessive 6-thioguanine (6-TGN) levels worsen neutropenia, while elevated 6-methylmercaptopurine (6-MMP) levels contribute to hepatotoxicity. This study investigates genetic variants influencing 6-MP response in children with ALL. Seventeen tagSNPs in key enzymes involved in 6-MP metabolism, GMPS, IMPDH1, XO, and ITPA, were analysed. Genetic data were correlated with clinical and pharmacological parameters in 280 ALL patients treated under DFCI ALL 05-001, 11-001, and 16-001 protocols at CHU Sainte-Justine. Outcomes included 6-MP dose intensity, 6-TGN and 6-MMP metabolite levels, and hematologic and hepatic toxicities during consolidation II and maintenance phases. Results revealed that the rs6710015 variant allele in the XO gene is linked to lower 6-TGN and higher 6-MMP levels, while rs1884725 variant allele in the same gene is correlated with reduced neutropenia and higher cumulative 6-MP doses. In contrast, two variants in the IMPDH1 gene, rs2228075 and rs2278294, are correlated with more frequent neutropenia. These findings highlight novel genetic variants influencing 6-MP metabolism and toxicity in paediatric ALL patients.
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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 | 0.001 |
| 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".