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Títol:
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Patient-Derived Xenograft Models for Endometrial Cancer Research
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Autor/a:
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Moiola, Cristian P.; Lopez-Gil, Carlos; Cabrera, Silvia; Garcia, Angel; Van Nyen, Tom; Annibali, Daniela; Fonnes, Tina; Vidal, August; Villanueva, Alberto; Matias-Guiu, Xavier; Krakstad, Camilla; Amant, Frederic; Gil-Moreno, Antonio; Colás, Eva
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Notes:
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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
andmetastasis covering all EC subtypes. Ourmodels are histologically andmolecularly 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.
This work was supported by CIBERONC (CB16/12/00328), the “Fondo Europeo de Desarrollo Regional” FEDER (RTC-2015-3821-1), Grups consolidats de la Generalitat de Catalunya (2017 SGR-1661) and the Instituto de Salud Carlos III (PI14/02043; PI17/02071). An AGAUR grant funded CL-G (2018FI_B_00573), and a PERIS grant funded EC (SLT002/16/00315) from Generalitat de Catalunya. The present work has been also funded by the “Fonds National de la Recherche du Luxembourg” (FNR) via the PEARL-CPIL program to BD and an AFR grant to AL (PDR 2013-2, Project Reference 6835664). |
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Matèries:
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-Orthoxenograft
-Uterine cancer
-Avatar
-Murine models |
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Drets:
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cc-by (c) Cristian P. Moiola et al., 2018
http://creativecommons.org/licenses/by/4.0/
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Tipus de document:
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Article
Article - Versió publicada |
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Publicat per:
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MDPI
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Compartir:
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