ArticleClinical and translational science2025
Frequency and Implications of High-Risk Pharmacogenomic Phenotypes Identified in a Diverse Australian Pediatric Oncology Cohort.
Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Diversity in Translation: Equal Is Greater Than.Clinical and translational science · 2026Article
- Prevalence of actionable pharmacogenomic variants in Brazilian patients with cancer.Frontiers in pharmacology · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Pharmacogenomics remains underutilized in pediatric oncology, despite the existence of evidence-based guidelines. Implementation of pharmacogenomics-informed prescribing could improve medication safety and efficacy in pediatric oncology patients, who are at high risk of adverse drug reactions. This study examines the prevalence of high-risk pharmacogenomic phenotypes and the prescription of relevant medications in a diverse Australian pediatric oncology cohort, highlighting the potential impact of pharmacogenomic testing in this unique population. Whole genome sequencing data from 180 patients were analyzed to assess 14 genes with evidence-based pharmacogenomic guidelines relevant to pediatric oncology. Over 90% of patients had at least one high-risk phenotype, with 20% presenting four or more. Ondansetron, mercaptopurine, omeprazole, pantoprazole, and voriconazole were commonly prescribed medications that have pharmacogenomic prescribing recommendations, with the latter three showing the highest actionability rates. High-risk phenotypes were most frequently observed for CYP2C19 and CYP2D6, with 30% of patients having a high-risk phenotype for both genes. This study underscores the potential utility of pharmacogenomics in pediatric oncology patients across a range of pharmacogenes and commonly prescribed medications. The findings support advocacy for implementing broad, pre-emptive pharmacogenomic testing in oncology patients to improve treatment safety and efficacy.
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