Zebrafish tumor xenograft models for drug-screening: a systematic review of methods for treatment assessment

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Authors: Oneda Cani, Letizia Zannotti, Alessandro De Vita, C. Liverani, Silvia Vanni, Giacomo Miserocchi
Cited by: 1
References: 111

Abstract

BACKGROUND: Zebrafish xenotransplantation models are increasingly employed as drug-screening platforms in precision oncology, offering the advantages of high replicate numbers and rapid data acquisition. Multiple strategies have been developed to evaluate anticancer therapies in zebrafish xenografts, varying in experimental design, methodology, and analytical approaches. However, a persistent limitation is the complexity of quantifying and automating drug-response measurements, which limits scalability and increases experimental workload. MATERIAL AND METHODS: We conducted a systematic review to summarize methodologies for evaluating drug efficacy in human cells xenografted into zebrafish larvae. A comprehensive search of PubMed, Scopus, and Web of Science yielded 113 eligible studies after a two-step screening process. RESULTS: The review focused on two major aspects: xenotransplantation procedures and methods of drug-effect quantification. The analysis describes the injection of approximately 200 tumor cells into the embryos’ yolk sac, followed by a 72-hour treatment, representing the parameters most commonly employed. Drug efficacy was most frequently assessed by measuring tumor fluorescence intensity with a fluorescence stereomicroscope. Notably, 86.75% of studies tested five or fewer conditions per experiment. CONCLUSION: In conclusion, there is a clear need to develop standardized protocols that allow testing of a larger number of treatment conditions, thereby supporting the advancement of high-throughput drug screening platforms for personalized medicine.

Fields of Study & Subjects

Zebrafish Biomedical Research Applications Neuroblastoma Research and Treatments Reproductive biology and impacts on aquatic species

Publication details

Journal / source
Journal of Translational Medicine
Publisher
Springer Science and Business Media LLC
Volume
24
Issue
1
Publication date
19 February 2026
Language
EN