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Patient-derived xenograft models—the future of personalised cancer treatment

For many tumours there is a lack of randomised data from which we can guide systemic treatments. Although gene expression profiling along with proteomics has led to advances in diagnosis, classification and prognosis, our ability to target many cancers has been further limited due to a lack of thera...

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Detalles Bibliográficos
Autores principales: Bhimani, Jenna, Ball, Katie, Stebbing, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054515/
https://www.ncbi.nlm.nih.gov/pubmed/31919403
http://dx.doi.org/10.1038/s41416-019-0678-0
Descripción
Sumario:For many tumours there is a lack of randomised data from which we can guide systemic treatments. Although gene expression profiling along with proteomics has led to advances in diagnosis, classification and prognosis, our ability to target many cancers has been further limited due to a lack of therapeutic options. The use of patient-derived xenograft (PDX) models in the setting of a rare malignancy is discussed here by Kamili et al, with the successful establishment of new model systems.