Holen, I. orcid.org/0000-0002-8759-6913, Speirs, V., Morrissey, B. et al. (1 more author) (2017) In vivo models in breast cancer research: progress, challenges and future directions. Disease Models and Mechanisms, 10. pp. 359-371. ISSN 1754-8403
Abstract
Research using animal model systems has been instrumental in delivering improved therapies for breast cancer, as well as in generating new insights into the mechanisms that underpin development of the disease. A large number of different models are now available, reflecting different types and stages of the disease; choosing which one to use depends on the specific research question(s) to be investigated. Based on presentations and discussions from leading experts who attended a recent workshop focused on in vivo models of breast cancer, this article provides a perspective on the many varied uses of these models in breast cancer research, their strengths, associated challenges and future directions. Among the questions discussed were: how well do models represent the different stages of human disease; how can we model the involvement of the human immune system and microenvironment in breast cancer; what are the appropriate models of metastatic disease; can we use models to carry out preclinical drug trials and identify pathways responsible for drug resistance; and what are the limitations of patient-derived xenograft models? We briefly outline the areas where the existing breast cancer models require improvement in light of the increased understanding of the disease process, reflecting the drive towards more personalised therapies and identification of mechanisms of drug resistance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017. Published by The Company of Biologists Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
Keywords: | Breast cancer; Mouse models; GEMM; PDX; CDX; SEARCHBreast; EurOPDX |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield) |
Funding Information: | Funder Grant number NATIONAL CENTRE FOR THE REPLACEMENT, REFINEMENT AND REDUCTION OF ANIMALS IN RESEARCH UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Apr 2017 08:35 |
Last Modified: | 21 Apr 2017 08:39 |
Published Version: | https://doi.org/10.1242/dmm.028274 |
Status: | Published |
Publisher: | Company of Biologists |
Refereed: | Yes |
Identification Number: | 10.1242/dmm.028274 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115102 |