Animal models of uveal melanoma

• Authors: Ohul E Uner, Emory University; Nikhila Gandrakota, Emory University; Corrina P Azarcon, Emory University; Hans Grossniklaus, Emory University
• Journal Title: Annals of Eye Science
• Volume: Volume 7
• Publisher: AME Publishing Company | 2022-03-01
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.21037/aes-21-30
• Subjects: Health Sciences, Public Health; Health Sciences, Pathology
• Keywords: Uveal melanoma (UM); animal model; ocular melanoma; transgenic mice; xenograft

Abstract

Animal models are crucial for the study of tumorigenesis and therapies in oncology research. Though rare, uveal melanoma (UM) is the most common intraocular tumor and remains one of the most lethal cancers. Given the limitations of studying human UM cells in vitro, animal models have emerged as excellent platforms to investigate disease onset, progression, and metastasis. Since Greene's initial studies on hamster UM, researchers have dramatically improved the array of animal models. Animals with spontaneous tumors have largely been replaced by engrafted and genetically engineered models. Inoculation techniques continue to be refined and expanded. Newer methods for directed mutagenesis have formed transgenic models to reliably study primary tumorigenesis. Human UM cell lines have been used to generate rapidly growing xenografts. Most recently, patient-derived xenografts have emerged as models that closely mimic the behavior of human UM. Separate animal models to study metastatic UM have also been established. Despite the advancements, the prognosis has only recently improved for UM patients, especially in patients with metastases. There is a need to identify and evaluate new preclinical models. To accomplish this goal, it is important to understand the origin, methods, advantages, and disadvantages of current animal models. In this review, the authors present current and historic animal models for the experimental study of UM. The strengths and shortcomings of each model are discussed and potential future directions are explored.