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Modeling High-Risk Pediatric Cancers in Zebrafish to Inform Precision Therapy

  • Nadine Azzam
  • , Jamie I. Fletcher
  • , Nicole Melong
  • , Loretta M.S. Lau
  • , Emmy M. Dolman
  • , Jie Mao
  • , Gabor Tax
  • , Roxanne Cadiz
  • , Lissandra Tuzi
  • , Alvin Kamili
  • , Biljana Dumevska
  • , Jinhan Xie
  • , Jennifer A. Chan
  • , Donna L. Senger
  • , Stephanie A. Grover
  • , David Malkin
  • , Michelle Haber
  • , Jason N. Berman

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Despite advances in precision medicine, 30% of high-risk pediatric cancers lack an actionable molecular target, hindering effective treatment and affecting survival outcomes. Although mouse patient-derived xenograft (PDX) models offer additional insights into clinical drug responses, delivering findings from these models within a clinically actionable time frame remains challenging. This international collaboration between two national precision medicine programs demonstrates proof-of-principle that individualized larval zebrafish PDXs can robustly and rapidly assess clinical responses in high-risk pediatric cancers. Retrospective zebrafish PDX testing was performed on tumor samples from 10 pediatric patients with high-risk cancers. Drug responses in zebrafish models were correlated with clinical responses for each patient and directly compared with responses in cognate mouse PDX models. Responses to conventional and targeted therapies, administered as single agents or in combinations, were assessed. Zebrafish PDXs were successfully established from all 10 patients and provided robust drug response data in every case, including from three patients whose tumor samples could not be engrafted in mice. Remarkably, zebrafish models accurately recapitulated patient responses for 11 of 12 treatment regimens. These findings highlight the potential of larval zebrafish PDX models to provide real-time, clinically relevant drug response data, supporting their potential use in prospective precision medicine studies.

Original languageEnglish
Pages (from-to)1215-1227
Number of pages13
JournalCancer Research Communications
Volume5
Issue number7
DOIs
Publication statusPublished - Jul 2025
Externally publishedYes

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