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Modeling Endometrial Cancer: Past, Present, and Future
Endometrial cancer is the most common type of cancer of the female reproductive tract. Although prognosis is generally good for patients with low-grade and early-stage diseases, the outcomes for high-grade and metastatic/recurrent cases remain poor, since traditional chemotherapy regimens based on p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121384/ https://www.ncbi.nlm.nih.gov/pubmed/30096949 http://dx.doi.org/10.3390/ijms19082348 |
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author | Van Nyen, Tom Moiola, Cristian P. Colas, Eva Annibali, Daniela Amant, Frédéric |
author_facet | Van Nyen, Tom Moiola, Cristian P. Colas, Eva Annibali, Daniela Amant, Frédéric |
author_sort | Van Nyen, Tom |
collection | PubMed |
description | Endometrial cancer is the most common type of cancer of the female reproductive tract. Although prognosis is generally good for patients with low-grade and early-stage diseases, the outcomes for high-grade and metastatic/recurrent cases remain poor, since traditional chemotherapy regimens based on platinum and taxanes have limited effects. No targeted agents have been approved so far, although several new drugs have been tested without striking results in clinical trials. Over the last decades, many efforts have been made towards the establishment and development of preclinical models, aiming at recapitulating the structural and molecular determinants of the disease. Here, we present an overview of the most commonly used in vitro and in vivo models and discuss their peculiar features, describing their main applications and the value in the advancement of both fundamental and translational endometrial cancer research. |
format | Online Article Text |
id | pubmed-6121384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61213842018-09-07 Modeling Endometrial Cancer: Past, Present, and Future Van Nyen, Tom Moiola, Cristian P. Colas, Eva Annibali, Daniela Amant, Frédéric Int J Mol Sci Review Endometrial cancer is the most common type of cancer of the female reproductive tract. Although prognosis is generally good for patients with low-grade and early-stage diseases, the outcomes for high-grade and metastatic/recurrent cases remain poor, since traditional chemotherapy regimens based on platinum and taxanes have limited effects. No targeted agents have been approved so far, although several new drugs have been tested without striking results in clinical trials. Over the last decades, many efforts have been made towards the establishment and development of preclinical models, aiming at recapitulating the structural and molecular determinants of the disease. Here, we present an overview of the most commonly used in vitro and in vivo models and discuss their peculiar features, describing their main applications and the value in the advancement of both fundamental and translational endometrial cancer research. MDPI 2018-08-09 /pmc/articles/PMC6121384/ /pubmed/30096949 http://dx.doi.org/10.3390/ijms19082348 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Van Nyen, Tom Moiola, Cristian P. Colas, Eva Annibali, Daniela Amant, Frédéric Modeling Endometrial Cancer: Past, Present, and Future |
title | Modeling Endometrial Cancer: Past, Present, and Future |
title_full | Modeling Endometrial Cancer: Past, Present, and Future |
title_fullStr | Modeling Endometrial Cancer: Past, Present, and Future |
title_full_unstemmed | Modeling Endometrial Cancer: Past, Present, and Future |
title_short | Modeling Endometrial Cancer: Past, Present, and Future |
title_sort | modeling endometrial cancer: past, present, and future |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121384/ https://www.ncbi.nlm.nih.gov/pubmed/30096949 http://dx.doi.org/10.3390/ijms19082348 |
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