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Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis

Effective drug development to combat metastatic disease in breast cancer would be aided by the availability of well-characterized preclinical animal models that (a) metastasize with high efficiency, (b) metastasize in a reasonable time-frame, (c) have an intact immune system, and (d) capture some of...

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Autores principales: Yang, Yuan, Yang, Howard H., Hu, Ying, Watson, Peter H., Liu, Huaitian, Geiger, Thomas R., Anver, Miriam R., Haines, Diana C., Martin, Philip, Green, Jeffrey E., Lee, Maxwell P., Hunter, Kent W., Wakefield, Lalage M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458155/
https://www.ncbi.nlm.nih.gov/pubmed/28430642
http://dx.doi.org/10.18632/oncotarget.15695
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author Yang, Yuan
Yang, Howard H.
Hu, Ying
Watson, Peter H.
Liu, Huaitian
Geiger, Thomas R.
Anver, Miriam R.
Haines, Diana C.
Martin, Philip
Green, Jeffrey E.
Lee, Maxwell P.
Hunter, Kent W.
Wakefield, Lalage M.
author_facet Yang, Yuan
Yang, Howard H.
Hu, Ying
Watson, Peter H.
Liu, Huaitian
Geiger, Thomas R.
Anver, Miriam R.
Haines, Diana C.
Martin, Philip
Green, Jeffrey E.
Lee, Maxwell P.
Hunter, Kent W.
Wakefield, Lalage M.
author_sort Yang, Yuan
collection PubMed
description Effective drug development to combat metastatic disease in breast cancer would be aided by the availability of well-characterized preclinical animal models that (a) metastasize with high efficiency, (b) metastasize in a reasonable time-frame, (c) have an intact immune system, and (d) capture some of the heterogeneity of the human disease. To address these issues, we have assembled a panel of twelve mouse mammary cancer cell lines that can metastasize efficiently on implantation into syngeneic immunocompetent hosts. Genomic characterization shows that more than half of the 30 most commonly mutated genes in human breast cancer are represented within the panel. Transcriptomically, most of the models fall into the luminal A or B intrinsic molecular subtypes, despite the predominance of an aggressive, poorly-differentiated or spindled histopathology in all models. Patterns of immune cell infiltration, proliferation rates, apoptosis and angiogenesis differed significantly among models. Inherent within-model variability of the metastatic phenotype mandates large cohort sizes for intervention studies but may also capture some relevant non-genetic sources of variability. The varied molecular and phenotypic characteristics of this expanded panel of models should aid in model selection for development of antimetastatic therapies in vivo, and serve as a useful platform for predictive biomarker identification.
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spelling pubmed-54581552017-06-08 Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis Yang, Yuan Yang, Howard H. Hu, Ying Watson, Peter H. Liu, Huaitian Geiger, Thomas R. Anver, Miriam R. Haines, Diana C. Martin, Philip Green, Jeffrey E. Lee, Maxwell P. Hunter, Kent W. Wakefield, Lalage M. Oncotarget Priority Research Paper Effective drug development to combat metastatic disease in breast cancer would be aided by the availability of well-characterized preclinical animal models that (a) metastasize with high efficiency, (b) metastasize in a reasonable time-frame, (c) have an intact immune system, and (d) capture some of the heterogeneity of the human disease. To address these issues, we have assembled a panel of twelve mouse mammary cancer cell lines that can metastasize efficiently on implantation into syngeneic immunocompetent hosts. Genomic characterization shows that more than half of the 30 most commonly mutated genes in human breast cancer are represented within the panel. Transcriptomically, most of the models fall into the luminal A or B intrinsic molecular subtypes, despite the predominance of an aggressive, poorly-differentiated or spindled histopathology in all models. Patterns of immune cell infiltration, proliferation rates, apoptosis and angiogenesis differed significantly among models. Inherent within-model variability of the metastatic phenotype mandates large cohort sizes for intervention studies but may also capture some relevant non-genetic sources of variability. The varied molecular and phenotypic characteristics of this expanded panel of models should aid in model selection for development of antimetastatic therapies in vivo, and serve as a useful platform for predictive biomarker identification. Impact Journals LLC 2017-02-25 /pmc/articles/PMC5458155/ /pubmed/28430642 http://dx.doi.org/10.18632/oncotarget.15695 Text en Copyright: © 2017 Yang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Priority Research Paper
Yang, Yuan
Yang, Howard H.
Hu, Ying
Watson, Peter H.
Liu, Huaitian
Geiger, Thomas R.
Anver, Miriam R.
Haines, Diana C.
Martin, Philip
Green, Jeffrey E.
Lee, Maxwell P.
Hunter, Kent W.
Wakefield, Lalage M.
Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
title Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
title_full Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
title_fullStr Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
title_full_unstemmed Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
title_short Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
title_sort immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis
topic Priority Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458155/
https://www.ncbi.nlm.nih.gov/pubmed/28430642
http://dx.doi.org/10.18632/oncotarget.15695
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