Please use this identifier to cite or link to this item:
Title: Patient-Derived Xenograft Models for Endometrial Cancer Research
Author: Moiola, Cristian P.
Lopez Gil, Carlos
Cabrera, Sílvia
Garcia, Angel
Van Nyen, Tom
Annibali, Daniela
Fonnes, Tina
Vidal-Bel, August
Villanueva Garatachea, Alberto
Matias-Guiu, Xavier
Krakstad, Camilla
Amant, Frédéric
Gil Moreno, Antonio
Colas, Eva
Keywords: Càncer d'endometri
Aparell genital femení
Medicina personalitzada
Endometrial cancer
Female generative organs
Personalized medicine
Issue Date: 17-Aug-2018
Publisher: MDPI
Abstract: Endometrial cancer (EC) is the most common malignancy of the genital tract among women in developed countries. Recently, a molecular classification of EC has been performed providing a system that, in conjunction with histological observations, reliably improves EC classification and enhances patient management. Patient-derived xenograft models (PDX) represent nowadays a promising tool for translational research, since they closely resemble patient tumour features and retain molecular and histological features. In EC, PDX models have already been used, mainly as an individualized approach to evaluate the efficacy of novel therapies and to identify treatment-response biomarkers; however, their uses in more global or holistic approaches are still missing. As a collaborative effort within the ENITEC network, here we describe one of the most extensive EC PDX cohorts developed from primary tumour and metastasis covering all EC subtypes. Our models are histologically and molecularly characterized and represent an excellent reservoir of EC tumour samples for translational research. This review compiles the information on current methods of EC PDX generation and their utility and provides new perspectives for the exploitation of these valuable tools in order to increase the success ratio for translating results to clinical practice.
Note: Reproducció del document publicat a:
It is part of: International Journal of Molecular Sciences, 2018, vol. 19, num. 8, p. 2431
Related resource:
ISSN: 1661-6596
Appears in Collections:Articles publicats en revistes (Patologia i Terapèutica Experimental)

Files in This Item:
File Description SizeFormat 
681592.pdf1.16 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons