3D breast tumor models for radiobiology applications
Ravichandran, Akhilandeshwari, Clegg, Julien, Adams, Mark N., Hampson, Madison, Fielding, Andrew, & Bray, Laura J. (2021) 3D breast tumor models for radiobiology applications. Cancers, 13(22), Article number: 5714.
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Description
Breast cancer is a leading cause of cancer‐associated death in women. The clinical management of breast cancers is normally carried out using a combination of chemotherapy, surgery and radiation therapy. The majority of research investigating breast cancer therapy until now has mainly utilized two‐dimensional (2D) in vitro cultures or murine models of disease. However, there has been significant uptake of three‐dimensional (3D) in vitro models by cancer researchers over the past decade, highlighting a complimentary model for studies of radiotherapy, especially in conjunction with chemotherapy. In this review, we underline the effects of radiation therapy on normal and malignant breast cells and tissues, and explore the emerging opportunities that pre‐clinical 3D models offer in improving our understanding of this treatment modality.
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ID Code: | 227508 | ||||||||
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Item Type: | Contribution to Journal (Review article) | ||||||||
Refereed: | Yes | ||||||||
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Additional Information: | Funding Information: Funding: This research was funded by the National Breast Cancer Foundation through PF‐16‐ 004. L.J.B. acknowledges the support of grant 1159637 awarded through the 2018 Priority‐ driven Collaborative Cancer Research Scheme and co‐funded by Cancer Australia and the Leukaemia Foundation of Australia. L.J.B. also acknowledges the Australian Research Council for funding of the ARC Industrial Transformation Training Centre for Cell and Tissue Engineering Technologies (IC190100026). | ||||||||
Measurements or Duration: | 20 pages | ||||||||
Keywords: | 3D radiobiology, In vitro breast cancer models, Radiation therapy, Radiosensitizers | ||||||||
DOI: | 10.3390/cancers13225714 | ||||||||
ISSN: | 2072-6694 | ||||||||
Pure ID: | 104902848 | ||||||||
Divisions: | Current > Research Centres > Centre for Behavioural Economics, Society & Technology Current > Research Centres > Centre for Biomedical Technologies Current > Research Centres > Centre for Genomics and Personalised Health Current > QUT Faculties and Divisions > Faculty of Business & Law Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Chemistry & Physics Current > QUT Faculties and Divisions > Faculty of Engineering Current > Schools > School of Mechanical, Medical & Process Engineering Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Biomedical Sciences |
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Funding Information: | Funding: This research was funded by the National Breast Cancer Foundation through PF‐16‐ 004. L.J.B. acknowledges the support of grant 1159637 awarded through the 2018 Priority‐ driven Collaborative Cancer Research Scheme and co‐funded by Cancer Australia and the Leukaemia Foundation of Australia. L.J.B. also acknowledges the Australian Research Council for funding of the ARC Industrial Transformation Training Centre for Cell and Tissue Engineering Technologies (IC190100026). | ||||||||
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Copyright Owner: | 2021 The Author(s) | ||||||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||||
Deposited On: | 20 Jan 2022 05:59 | ||||||||
Last Modified: | 12 May 2025 07:01 |
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