Evidence map›Paper›PMID 40347484›Full record

ArticleClinical and translational science2025

Frequency and Implications of High-Risk Pharmacogenomic Phenotypes Identified in a Diverse Australian Pediatric Oncology Cohort.

Claire Moore, Andreas Halman, Tayla Stenta, Dhrita Khatri, Elizabeth Williams, Roxanne Dyas, Julian Stolper, David A Elliott, Rachel Conyers

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Diversity in Translation: Equal Is Greater Than.Clinical and translational science · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Claire MooreCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0001-7253-7913
Andreas HalmanCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0001-5248-4121
Tayla StentaCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0003-4794-030X
Dhrita KhatriCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0009-0004-3096-6022
Elizabeth WilliamsCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0009-0003-7692-2837
Roxanne DyasCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0009-0005-1826-2257
Julian StolperCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0001-7233-2686
David A ElliottCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0003-1052-7407
Rachel ConyersCancer Therapies, Stem Cell Medicine, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-2344-1365

Funding

2020 Medical Research Future Fund - Emerging Priorities and Consumer Driven Research Initiative - Paediatric Cancer MRF/20076202023 Medical Research Future Fund - Genomics Health Future MissionMelbourne University Strategic Research Training Program (RTP) ScholarshipThe Kids' Cancer ProjectThe Royal Children's Hospital Foundation
6 · The paper itself

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.

Indexed as

Antineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsNeoplasmsPharmacogeneticsPharmacogenomic TestingAdolescentAustraliaChildChild, PreschoolCohort StudiesCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6FemaleHumansInfantMaleAntineoplastic AgentsCYP2C19 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6medical oncologypediatricspharmacogeneticspharmacogenomicsprecision medicine

Identifiers

PMID40347484
PMCPMC12065477

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.