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Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models

The study of pancreatic cancer has prompted the development of numerous mouse models that aim to recapitulate the phenotypic and mechanistic features of this deadly malignancy. This review accomplishes two tasks. First, it provides an overview of the models that have been used as representations of...

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Autores principales: DeCant, Brian T., Principe, Daniel R., Guerra, Carmen, Pasca di Magliano, Marina, Grippo, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255505/
https://www.ncbi.nlm.nih.gov/pubmed/25538623
http://dx.doi.org/10.3389/fphys.2014.00464
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author DeCant, Brian T.
Principe, Daniel R.
Guerra, Carmen
Pasca di Magliano, Marina
Grippo, Paul J.
author_facet DeCant, Brian T.
Principe, Daniel R.
Guerra, Carmen
Pasca di Magliano, Marina
Grippo, Paul J.
author_sort DeCant, Brian T.
collection PubMed
description The study of pancreatic cancer has prompted the development of numerous mouse models that aim to recapitulate the phenotypic and mechanistic features of this deadly malignancy. This review accomplishes two tasks. First, it provides an overview of the models that have been used as representations of both the neoplastic and carcinoma phenotypes. Second, it presents new modeling schemes that ultimately will serve to more faithfully capture the temporal and spatial progression of the human disease, providing platforms for improved understanding of the role of non-epithelial compartments in disease etiology as well as evaluating therapeutic approaches.
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spelling pubmed-42555052014-12-23 Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models DeCant, Brian T. Principe, Daniel R. Guerra, Carmen Pasca di Magliano, Marina Grippo, Paul J. Front Physiol Physiology The study of pancreatic cancer has prompted the development of numerous mouse models that aim to recapitulate the phenotypic and mechanistic features of this deadly malignancy. This review accomplishes two tasks. First, it provides an overview of the models that have been used as representations of both the neoplastic and carcinoma phenotypes. Second, it presents new modeling schemes that ultimately will serve to more faithfully capture the temporal and spatial progression of the human disease, providing platforms for improved understanding of the role of non-epithelial compartments in disease etiology as well as evaluating therapeutic approaches. Frontiers Media S.A. 2014-12-04 /pmc/articles/PMC4255505/ /pubmed/25538623 http://dx.doi.org/10.3389/fphys.2014.00464 Text en Copyright © 2014 DeCant, Prinicipe, Guerra, Pasca di Magliano and Grippo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
DeCant, Brian T.
Principe, Daniel R.
Guerra, Carmen
Pasca di Magliano, Marina
Grippo, Paul J.
Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
title Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
title_full Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
title_fullStr Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
title_full_unstemmed Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
title_short Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
title_sort utilizing past and present mouse systems to engineer more relevant pancreatic cancer models
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255505/
https://www.ncbi.nlm.nih.gov/pubmed/25538623
http://dx.doi.org/10.3389/fphys.2014.00464
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