Enhanced perfusion following exposure to radiotherapy: A theoretical investigation.
Creators
- 1. School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.
- 2. University of Glasgow
- 3. Mathematical Institute, University of Oxford, Oxford, United Kingdom.
- 4. University of Oxford
- 5. Laboratory for Topology and Neuroscience, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- 6. École Polytechnique Fédérale de Lausanne
- 7. Cancer Research UK and MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom.
- 8. Department of Experimental Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia.
- 9. Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Description
Tumour angiogenesis leads to the formation of blood vessels that are structurally and spatially heterogeneous. Poor blood perfusion, in conjunction with increased hypoxia and oxygen heterogeneity, impairs a tumour's response to radiotherapy. The optimal strategy for enhancing tumour perfusion remains unclear, preventing its regular deployment in combination therapies. In this work, we first identify vascular architectural features that correlate with enhanced perfusion following radiotherapy, using in vivo imaging data from vascular tumours. Then, we present a novel computational model to determine the relationship between these architectural features and blood perfusion in silico. If perfusion is defined to be the proportion of vessels that support blood flow, we find that vascular networks with small mean diameters and large numbers of angiogenic sprouts show the largest increases in perfusion post-irradiation for both biological and synthetic tumours. We also identify cases where perfusion increases due to the pruning of hypoperfused vessels, rather than blood being rerouted. These results indicate the importance of considering network composition when determining the optimal irradiation strategy. In the future, we aim to use our findings to identify tumours that are good candidates for perfusion enhancement and to improve the efficacy of combination therapies.
Open Access
Licence Attribution (CC BY)
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Publication Details
Journal article
Journal:
PLoS computational biology
Publisher:
Public Library of Science (PLoS)
ISSN:
15537358
Volume:
20
Pages:
e1011252-e1011252
Persistent Identifiers
Funding
Financial Support
Cancer Research UK — Grant: No. C5255/A18085 and No. C5255/A15935
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Cancer Research UK — Grant: C2195/A31281
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Engineering and Physical Sciences Research Council — Grant: EP/R018472/1
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L'Oréal-UNESCO UK and Ireland For Women in Science Rising Talent Programme
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Engineering and Physical Sciences Research Council — Grant: EP/R014604/1
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FP7 People: Marie-Curie Actions — Grant: No 625631
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Medical Research Council (MRC) - UKRI — Grant: Grant number: C5255/A18085
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Cancer Research UK — Grant: C5255/A18085 and C5255/A15935
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Javna Agencija za Raziskovalno Dejavnost RS — Grant: P3-0003, J3-2529
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