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Choosing The Right Animal Model for Renal Cancer Research()

The increase in the life expectancy of patients with renal cell carcinoma (RCC) in the last decade is due to changes that have occurred in the area of preclinical studies. Understanding cancer pathophysiology and the emergence of new therapeutic options, including immunotherapy, would not be possibl...

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Detalles Bibliográficos
Autores principales: Sobczuk, Paweł, Brodziak, Anna, Khan, Mohammed Imran, Chhabra, Stuti, Fiedorowicz, Michał, Wełniak-Kamińska, Marlena, Synoradzki, Kamil, Bartnik, Ewa, Cudnoch-Jędrzejewska, Agnieszka, Czarnecka, Anna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036425/
https://www.ncbi.nlm.nih.gov/pubmed/32092671
http://dx.doi.org/10.1016/j.tranon.2020.100745
Descripción
Sumario:The increase in the life expectancy of patients with renal cell carcinoma (RCC) in the last decade is due to changes that have occurred in the area of preclinical studies. Understanding cancer pathophysiology and the emergence of new therapeutic options, including immunotherapy, would not be possible without proper research. Before new approaches to disease treatment are developed and introduced into clinical practice they must be preceded by preclinical tests, in which animal studies play a significant role. This review describes the progress in animal model development in kidney cancer research starting from the oldest syngeneic or chemically-induced models, through genetically modified mice, finally to xenograft, especially patient-derived, avatar and humanized mouse models. As there are a number of subtypes of RCC, our aim is to help to choose the right animal model for a particular kidney cancer subtype. The data on genetic backgrounds, biochemical parameters, histology, different stages of carcinogenesis and metastasis in various animal models of RCC as well as their translational relevance are summarized. Moreover, we shed some light on imaging methods, which can help define tumor microstructure, assist in the analysis of its metabolic changes and track metastasis development.