1. The predictive capacity of in vitro preclinical models to evaluate drugs for the treatment of retinoblastoma.
- Author
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Sinenko, Irina L., Turnell-Ritson, Roland C., Munier, Francis L., and Dyson, Paul J.
- Subjects
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RETINOBLASTOMA , *DRUG discovery , *ANIMAL models in research , *EYE cancer , *CHILDHOOD cancer - Abstract
Retinoblastoma is a rare childhood cancer of the eye. Of the small number of drugs are used to treat retinoblastoma, all have been repurposed from drugs developed for other conditions. In order to find drugs or drug combinations better suited to the improved treatment of retinoblastoma, reliable predictive models are required, which facilitate the challenging transition from in vitro studies to clinical trials. In this review, the research performed to date on the development of 2D and 3D in vitro models for retinoblastoma is presented. Most of this research was undertaken with a view to better biological understanding of retinoblastoma, and we discuss the potential for these models to be applied to drug screening. Future research directions for streamlined drug discovery are considered and evaluated, and many promising avenues identified. • Standard-of-care retinoblastoma treatments have not been systematically identified. • Reliable predictive models facilitate the transition from in vitro to in vivo. • 3D structures more closely mimic retinoblastoma tumours than classical cultures. • Drug discovery/tumourigenesis studies would benefit from 3D retinoblastoma models. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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