Literature DB >> 33129865

BRCA1 and BRCA2 associated breast cancer and the roles of current modelling systems in drug discovery.

Oliver Trusler1, Jacob Goodwin1, Andrew L Laslett2.   

Abstract

For a drug candidate to be fully developed takes years and investment of hundreds of millions of dollars. There is no doubt that drug development is difficult and risky, but vital to protecting against devastating disease. This difficulty is clearly evident in BRCA1 and BRCA2 related breast cancer, with current treatment options largely confined to invasive surgical procedures, as well as chemotherapy and radiotherapy regimes which damage healthy tissue and can leave remnant disease. Consequently, patient survival and relapse rates are far from ideal, and new candidate treatments are needed. The preclinical stages of drug discovery are crucial to get right for translation to hospital beds. Disease models must take advantage of current technologies and be accurate for rapid and translatable treatments. Careful selection of cell lines must be coupled with high throughput techniques, with promising results trialled further in highly accurate humanised patient derived xenograft models. Traditional adherent drug screening should transition to 3D culture systems amenable to high throughput techniques if the gap between in vitro and in vivo studies is to be partially bridged. The possibility of organoid, induced pluripotent stem cell, and conditionally reprogrammed in vitro models is tantalising, however protocols are yet to be fully established. This review of BRCA1 and BRCA2 cancer biology and current modelling systems will hopefully guide the design of future drug discovery endeavours and highlight areas requiring improvement.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Year:  2020        PMID: 33129865     DOI: 10.1016/j.bbcan.2020.188459

Source DB:  PubMed          Journal:  Biochim Biophys Acta Rev Cancer        ISSN: 0304-419X            Impact factor:   10.680


  4 in total

1.  Assay establishment and validation of a high-throughput organoid-based drug screening platform.

Authors:  Xiaomeng Li; Guoxiang Fu; Long Zhang; Ruoyu Guan; Peiyuan Tang; Jialing Zhang; Xinxin Rao; Shengzhi Chen; Xiaoya Xu; Yi Zhou; Yun Deng; Tao Lv; Xingfeng He; Shaobo Mo; Peiyuan Mu; Jianjun Gao; Guoqiang Hua
Journal:  Stem Cell Res Ther       Date:  2022-05-26       Impact factor: 8.079

Review 2.  Large Animal Models of Breast Cancer.

Authors:  Pinaki Mondal; Katie L Bailey; Sara B Cartwright; Vimla Band; Mark A Carlson
Journal:  Front Oncol       Date:  2022-02-04       Impact factor: 6.244

3.  Efficacy of digital breast tomosynthesis combined with magnetic resonance imaging in the diagnosis of early breast cancer.

Authors:  Yun Ren; Jiao Zhang; Jin-Dan Zhang; Jian-Zhong Xu
Journal:  World J Clin Cases       Date:  2022-10-06       Impact factor: 1.534

Review 4.  Current Status and Prospects of Clinical Treatment of Osteosarcoma.

Authors:  Zong-Yuan Jiang; Ji-Bin Liu; Xiao-Feng Wang; Yu-Shui Ma; Da Fu
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec
  4 in total

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