Modeling of human uveal melanoma in zebrafish xenograft embryos

Wietske van der Ent1, Claudia Burrello2, Amina F A S Teunisse3

  • 1Institute of Biology, Leiden University, Leiden, The Netherlands Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.

Abstract

Insights

A new zebrafish xenograft model effectively screens uveal melanoma drug efficacy. This model allows for rapid evaluation of potential treatments for uveal melanoma liver metastases, addressing limitations of current preclinical models.

Area of Science:

  • Oncology
  • Zebrafish models
  • Drug discovery

Background:

  • Uveal melanoma (UM) frequently metastasizes to the liver, leading to fatal outcomes in up to 50% of patients.
  • Current therapies for uveal melanoma liver metastases are largely ineffective.
  • Existing murine xenograft models have limitations for high-throughput drug screening.

Purpose of the Study:

  • To establish and validate a robust zebrafish xenograft model for human uveal melanoma.
  • To assess the utility of this model for preclinical drug screening and efficacy evaluation.
  • To identify potential therapeutic agents for uveal melanoma treatment.

Main Methods:

  • Human uveal melanoma cell lines (primary and metastatic) were xenotransplanted into zebrafish embryos.
  • Embryo engraftment and subsequent cell proliferation and migration were quantified using automated confocal imaging.
  • The efficacy of known drugs (dasatinib, quisinostat, MLN-4924) was tested by adding them to the water of engrafted zebrafish.

Main Results:

  • All tested uveal melanoma cell lines exhibited proliferation and migration in zebrafish embryos.
  • Metastatic cell lines demonstrated increased proliferation and migration compared to primary tumor cell lines.
  • Dasatinib, quisinostat, and MLN-4924 demonstrated varying degrees of inhibition on uveal melanoma cell proliferation and migration in the model.

Conclusions:

  • A zebrafish xenograft model for human uveal melanoma has been successfully established.
  • This model is suitable for screening large compound libraries for drug discovery.
  • The model shows promise for evaluating drug efficacy against uveal melanoma liver metastases.

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