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Mouse models of breast cancer in preclinical research

Breast cancer remains the second leading cause of cancer death among woman, worldwide, despite advances in identifying novel targeted therapies and the development of treating strategies. Classification of clinical subtypes (ER+, PR+, HER2+, and TNBC (Triple-negative)) increases the complexity of br...

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Detalles Bibliográficos
Autores principales: Park, Mi Kyung, Lee, Chang Hoon, Lee, Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Association for Laboratory Animal Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333613/
https://www.ncbi.nlm.nih.gov/pubmed/30671101
http://dx.doi.org/10.5625/lar.2018.34.4.160
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author Park, Mi Kyung
Lee, Chang Hoon
Lee, Ho
author_facet Park, Mi Kyung
Lee, Chang Hoon
Lee, Ho
author_sort Park, Mi Kyung
collection PubMed
description Breast cancer remains the second leading cause of cancer death among woman, worldwide, despite advances in identifying novel targeted therapies and the development of treating strategies. Classification of clinical subtypes (ER+, PR+, HER2+, and TNBC (Triple-negative)) increases the complexity of breast cancers, which thus necessitates further investigation. Mouse models used in breast cancer research provide an essential approach to examine the mechanisms and genetic pathway in cancer progression and metastasis and to develop and evaluate clinical therapeutics. In this review, we summarize tumor transplantation models and genetically engineered mouse models (GEMMs) of breast cancer and their applications in the field of human breast cancer research and anti-cancer drug development. These models may help to improve the knowledge of underlying mechanisms and genetic pathways, as well as creating approaches for modeling clinical tumor subtypes, and developing innovative cancer therapy.
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spelling pubmed-63336132019-01-22 Mouse models of breast cancer in preclinical research Park, Mi Kyung Lee, Chang Hoon Lee, Ho Lab Anim Res Review Breast cancer remains the second leading cause of cancer death among woman, worldwide, despite advances in identifying novel targeted therapies and the development of treating strategies. Classification of clinical subtypes (ER+, PR+, HER2+, and TNBC (Triple-negative)) increases the complexity of breast cancers, which thus necessitates further investigation. Mouse models used in breast cancer research provide an essential approach to examine the mechanisms and genetic pathway in cancer progression and metastasis and to develop and evaluate clinical therapeutics. In this review, we summarize tumor transplantation models and genetically engineered mouse models (GEMMs) of breast cancer and their applications in the field of human breast cancer research and anti-cancer drug development. These models may help to improve the knowledge of underlying mechanisms and genetic pathways, as well as creating approaches for modeling clinical tumor subtypes, and developing innovative cancer therapy. Korean Association for Laboratory Animal Science 2018-12 2018-12-31 /pmc/articles/PMC6333613/ /pubmed/30671101 http://dx.doi.org/10.5625/lar.2018.34.4.160 Text en Copyright © 2018 Korean Association for Laboratory Animal Science http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Park, Mi Kyung
Lee, Chang Hoon
Lee, Ho
Mouse models of breast cancer in preclinical research
title Mouse models of breast cancer in preclinical research
title_full Mouse models of breast cancer in preclinical research
title_fullStr Mouse models of breast cancer in preclinical research
title_full_unstemmed Mouse models of breast cancer in preclinical research
title_short Mouse models of breast cancer in preclinical research
title_sort mouse models of breast cancer in preclinical research
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333613/
https://www.ncbi.nlm.nih.gov/pubmed/30671101
http://dx.doi.org/10.5625/lar.2018.34.4.160
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