Animal models in retinoblastoma research

dc.contributor.author Nair, Rohini M.
dc.contributor.author Kaliki, Swathi
dc.contributor.author Vemuganti, Geeta K.
dc.date.accessioned 2022-03-27T04:11:44Z
dc.date.available 2022-03-27T04:11:44Z
dc.date.issued 2013-07-01
dc.description.abstract Advances in animal models of retinoblastoma have accelerated research in this field, aiding in understanding tumor progression and assessing therapeutic modalities. The distinct pattern of mutations and specific location of this unique intraocular tumor have paved the way for two types of models- those based on genetic mutations, and xenograft models. Retinoblastoma gene knockouts with an additional loss of p107, p130, p53 and using promoters of Nestin, Chx10, and Pax6 genes show histological phenotypic changes close to the human form of retinoblastoma. Conditional knockout in specific layers of the developing retina has thrown light on the origin of this tumor. The use of xenograft models has overcome the obstacle of time delay in the presentation of symptoms, which remains a crucial drawback of genetic models. With the advances in molecular and imaging technologies, the current research aims to develop models that mimic all the features of retinoblastoma inclusive of its initiation, progression and metastasis. The combination of genetic and xenograft models in retinoblastoma research has and will help to pave way for better understanding of retinoblastoma tumor biology and also in designing and testing effective diagnostic and treatment modalities. © 2013 Production and hosting by Elsevier B.V.
dc.identifier.citation Saudi Journal of Ophthalmology. v.27(3)
dc.identifier.issn 13194534
dc.identifier.uri 10.1016/j.sjopt.2013.06.008
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S1319453413000581
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/6800
dc.subject Knock-out genetic model
dc.subject Preclinical models
dc.subject Retinoblastoma
dc.subject Xenograft models
dc.title Animal models in retinoblastoma research
dc.type Journal. Article
dspace.entity.type
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: