3D breast tumor models for radiobiology applications

, , , , , & (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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6 citations in Scopus
6 citations in Web of Science®
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ID Code: 227508
Item Type: Contribution to Journal (Review article)
Refereed: Yes
ORCID iD:
Ravichandran, Akhilandeshwariorcid.org/0000-0003-4807-1150
Adams, Mark N.orcid.org/0000-0003-1906-5018
Fielding, Andreworcid.org/0000-0001-9955-4609
Bray, Laura J.orcid.org/0000-0002-1174-0018
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
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).
Funding:
Copyright Owner: 2021 The Author(s)
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Deposited On: 20 Jan 2022 05:59
Last Modified: 12 May 2025 07:01