In vivo models in breast cancer research: progress, challenges and future directions

Author:

Holen Ingunn1,Speirs Valerie2,Morrissey Bethny2,Blyth Karen3ORCID

Affiliation:

1. Academic Unit of Clinical Oncology, University of Sheffield, Sheffield S10 2RX, UK

2. Leeds Institute of Cancer and Pathology, University of Leeds, Leeds LS9 7TF, UK

3. Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK

Abstract

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.

Funder

National Centre for the Replacement, Refinement and Reduction of Animals in Research

Cancer Research UK

Publisher

The Company of Biologists

Subject

General Biochemistry, Genetics and Molecular Biology,Immunology and Microbiology (miscellaneous),Medicine (miscellaneous),Neuroscience (miscellaneous)

Reference169 articles.

1. Modeling invasive lobular breast carcinoma by CRISPR/Cas9-mediated somatic genome editing of the mammary gland;Annunziato;Genes Dev.,2016

2. Differentiation of mammary tumors and reduction in metastasis upon Malat1 lncRNA loss;Arun;Genes Dev.,2016

3. Sequence analysis of mutations and translocations across breast cancer subtypes;Banerji;Nature,2012

4. Multipotent luminal mammary cancer stem cells model tumor heterogeneity;Bao;Breast Cancer Res.,2015

5. Recombinant humanized anti-HER2 antibody (Herceptin) enhances the antitumor activity of paclitaxel and doxorubicin against HER2/neu overexpressing human breast cancer xenografts;Baselga;Cancer Res.,1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3