Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes

Majd A. Al-Hamaly, Logan T. Turner, Angelica Rivera-Martinez, Analiz Rodriguez, Jessica S. Blackburn

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations

Abstract

The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor’s molecular profile to optimize the therapeutic benefit. However, current precision medicine approaches do not fully account for intra-tumoral heterogeneity. Different mutation profiles and cell behaviors within a single heterogeneous tumor can significantly impact therapy response and patient outcomes. Patient-derived avatar models recapitulate a patient’s tumor in an animal or dish and provide the means to functionally assess heterogeneity’s impact on drug response. Mouse xenograft and organoid avatars are well-established, but the time required to generate these models is not practical for clinical decision-making. Zebrafish are emerging as a time-efficient and cost-effective cancer avatar model. In this review, we highlight recent developments in zebrafish cancer avatar models and discuss the unique features of zebrafish that make them ideal for the interrogation of cancer heterogeneity and as part of precision cancer medicine pipelines.

Original languageEnglish
Article number2288
JournalInternational Journal of Molecular Sciences
Volume24
Issue number3
DOIs
StatePublished - Feb 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • co-clinical trials
  • intra-tumoral heterogeneity
  • precision medicine
  • xenograft
  • zPDX

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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