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      Development and characterisation of acquired radioresistant breast cancer cell lines

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          Abstract

          Background

          Radiotherapy plays an important role in the multimodal treatment of breast cancer. The response of a breast tumour to radiation depends not only on its innate radiosensitivity but also on tumour repopulation by cells that have developed radioresistance. Development of effective cancer treatments will require further molecular dissection of the processes that contribute to resistance.

          Methods

          Radioresistant cell lines were established by exposing MDA-MB-231, MCF-7 and ZR-751 parental cells to increasing weekly doses of radiation. The development of radioresistance was evaluated through proliferation and colony formation assays. Phenotypic characterisation included migration and invasion assays and immunohistochemistry. Transcriptomic data were also generated for preliminary hypothesis generation involving pathway-focused analyses.

          Results

          Proliferation and colony formation assays confirmed radioresistance. Radioresistant cells exhibited enhanced migration and invasion, with evidence of epithelial-to-mesenchymal-transition. Significantly, acquisition of radioresistance in MCF-7 and ZR-751 cell lines resulted in a loss of expression of both ERα and PgR and an increase in EGFR expression; based on transcriptomic data they changed subtype classification from their parental luminal A to HER2-overexpressing (MCF-7 RR) and normal-like (ZR-751 RR) subtypes, indicating the extent of phenotypic changes and cellular plasticity involved in this process. Radioresistant cell lines derived from ER+ cells also showed a shift from ER to EGFR signalling pathways with increased MAPK and PI3K activity.

          Conclusions

          This is the first study to date that extensively describes the development and characterisation of three novel radioresistant breast cancer cell lines through both genetic and phenotypic analysis. More changes were identified between parental cells and their radioresistant derivatives in the ER+ (MCF-7 and ZR-751) compared with the ER- cell line (MDA-MB-231) model; however, multiple and likely interrelated mechanisms were identified that may contribute to the development of acquired resistance to radiotherapy.

          Electronic supplementary material

          The online version of this article (10.1186/s13014-019-1268-2) contains supplementary material, which is available to authorized users.

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          Most cited references49

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          Epithelial-mesenchymal transitions in development and disease.

          The epithelial to mesenchymal transition (EMT) plays crucial roles in the formation of the body plan and in the differentiation of multiple tissues and organs. EMT also contributes to tissue repair, but it can adversely cause organ fibrosis and promote carcinoma progression through a variety of mechanisms. EMT endows cells with migratory and invasive properties, induces stem cell properties, prevents apoptosis and senescence, and contributes to immunosuppression. Thus, the mesenchymal state is associated with the capacity of cells to migrate to distant organs and maintain stemness, allowing their subsequent differentiation into multiple cell types during development and the initiation of metastasis.
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            Hypoxia-inducible factors, stem cells, and cancer.

            Regions of severe oxygen deprivation (hypoxia) arise in tumors due to rapid cell division and aberrant blood vessel formation. The hypoxia-inducible factors (HIFs) mediate transcriptional responses to localized hypoxia in normal tissues and in cancers and can promote tumor progression by altering cellular metabolism and stimulating angiogenesis. Recently, HIFs have been shown to activate specific signaling pathways such as Notch and the expression of transcription factors such as Oct4 that control stem cell self renewal and multipotency. As many cancers are thought to develop from a small number of transformed, self-renewing, and multipotent "cancer stem cells," these results suggest new roles for HIFs in tumor progression.
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              Breast cancer intrinsic subtype classification, clinical use and future trends.

              Breast cancer is composed of multiple subtypes with distinct morphologies and clinical implications. The advent of microarrays has led to a new paradigm in deciphering breast cancer heterogeneity, based on which the intrinsic subtyping system using prognostic multigene classifiers was developed. Subtypes identified using different gene panels, though overlap to a great extent, do not completely converge, and the avail of new information and perspectives has led to the emergence of novel subtypes, which complicate our understanding towards breast tumor heterogeneity. This review explores and summarizes the existing intrinsic subtypes, patient clinical features and management, commercial signature panels, as well as various information used for tumor classification. Two trends are pointed out in the end on breast cancer subtyping, i.e., either diverging to more refined groups or converging to the major subtypes. This review improves our understandings towards breast cancer intrinsic classification, current status on clinical application, and future trends.
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                Author and article information

                Contributors
                +44 131 5371763 , s9900757@sms.ed.ac.uk
                a.turnbull@ed.ac.uk
                c.ward@ed.ac.uk
                jm137@hw.ac.uk
                carlos.martinez-perez@igmm.ed.ac.uk
                maria.bonello@ed.ac.uk
                lisa.pang@roslin.ed.ac.uk
                simon.langdon@ed.ac.uk
                iankunkler@yahoo.com
                alan.murray@ed.ac.uk
                david.argyle@roslin.ed.ac.uk
                Journal
                Radiat Oncol
                Radiat Oncol
                Radiation Oncology (London, England)
                BioMed Central (London )
                1748-717X
                15 April 2019
                15 April 2019
                2019
                : 14
                : 64
                Affiliations
                [1 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, The Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, ; Edinburgh, Scotland
                [2 ]Cancer Research UK Edinburgh Centre and Division of Pathology Laboratories, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, Scotland
                [3 ]Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, Scotland
                [4 ]ISNI 0000000106567444, GRID grid.9531.e, Institute of Sensors, Signals and Systems, School of Engineering and Physical Sciences, Heriot-Watt University, ; Edinburgh, Scotland
                [5 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, School of Engineering, Faraday Building, The King’s Buildings, University of Edinburgh, ; Edinburgh, Scotland
                Author information
                http://orcid.org/0000-0003-2035-1425
                Article
                1268
                10.1186/s13014-019-1268-2
                6466735
                30987655
                23dcea8a-d774-4384-955f-0c13aaf4d5d0
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 October 2018
                : 2 April 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EP/K-34510/1
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Oncology & Radiotherapy
                radioresistance,breast cancer,global gene analysis,er and egfr signalling,characterisation of radioresistant cell lines

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