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The Unfolded Protein Response in Breast Cancer

  • In 2018, in the US alone, it is estimated that 268,670 people will be diagnosed with breast cancer, and that 41,400 will die from it. Since breast cancers often become resistant to therapies, and certain breast cancers lack therapeutic targets, new approaches are urgently required. A cell-stress response pathway, the unfolded protein response (UPR), has emerged as a promising target for the development of novel breast cancer treatments. This pathway is activated in response to a disturbance in endoplasmic reticulum (ER) homeostasis but has diverse physiological and disease-specific functions. In breast cancer, UPR signalling promotes a malignant phenotype and can confer tumours with resistance to widely used therapies. Here, we review several roles for UPR signalling in breast cancer, highlighting UPR-mediated therapy resistance and the potential for targeting the UPR alone or in combination with existing therapies.

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Document Type:Article
Author:Eoghan McGrath, Susan Logue, Katarzyna Mnich, Shane Deegan, Richard Jäger, Adrienne Gorman, Afshin Samali
Parent Title (English):Cancers
Article Number:344
Place of publication:Basel
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2018/09/21
Copyright:© 2018 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Funding Information:The work in our groups are funded by Health Research Board (grant number HRA-POR-2014-643), Science Foundation Ireland (SFI) grant co-funded under the European Regional Development Fund (grant Number 13/RC/2073), SFI Starting Investigator Grant (grant number 15/SIRG/3528), EU H2020 MSCA ITN-675448 (TRAINERS), EU H2020 MSCA RISE-734749 (INSPIRED) and Irish Research Council Fellowship (grant number GOIPD/2014/53).
Keyword:autophagy; breast cancer; cell death; endoplasmic reticulum (ER) stress; therapy; unfolded protein response (UPR)
Departments, institutes and facilities:Fachbereich Angewandte Naturwissenschaften
Institut für funktionale Gen-Analytik (IFGA)
Dewey Decimal Classification (DDC):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Entry in this database:2018/09/26
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International