Enhanced perfusion following exposure to radiotherapy: A theoretical investigation
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 r...
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creator | Köry, Jakub Narain, Vedang Stolz, Bernadette J Kaeppler, Jakob Markelc, Bostjan Muschel, Ruth J Maini, Philip K Pitt-Francis, Joe M Byrne, Helen M |
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. |
doi_str_mv | 10.1371/journal.pcbi.1011252 |
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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.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1011252</identifier><identifier>PMID: 38363799</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Angiogenesis ; Biology and Life Sciences ; Blood flow ; Blood vessels ; DNA damage ; Heterogeneity ; Hypoxia ; Irradiation ; Medicine and Health Sciences ; Perfusion ; Physical Sciences ; Post-irradiation ; Radiation therapy ; Research and Analysis Methods ; Retina ; Tumors ; Vascular endothelial growth factor</subject><ispartof>PLoS computational biology, 2024-02, Vol.20 (2), p.e1011252-e1011252</ispartof><rights>Copyright: © 2024 Köry et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>2024 Köry et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Köry et al 2024 Köry et al</rights><rights>2024 Köry et al. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c476t-36160551fbac54a21e2812f5da0c78fa12d6af04dba26419a9d85ce0966596113</cites><orcidid>0000-0003-0754-0088 ; 0000-0002-0146-9164 ; 0000-0001-5973-0049 ; 0000-0002-5094-5403 ; 0000-0002-4476-2547 ; 0000-0003-1771-5910</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10903964/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10903964/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38363799$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Mendes, Pedro</contributor><creatorcontrib>Köry, Jakub</creatorcontrib><creatorcontrib>Narain, Vedang</creatorcontrib><creatorcontrib>Stolz, Bernadette J</creatorcontrib><creatorcontrib>Kaeppler, Jakob</creatorcontrib><creatorcontrib>Markelc, Bostjan</creatorcontrib><creatorcontrib>Muschel, Ruth J</creatorcontrib><creatorcontrib>Maini, Philip K</creatorcontrib><creatorcontrib>Pitt-Francis, Joe M</creatorcontrib><creatorcontrib>Byrne, Helen M</creatorcontrib><title>Enhanced perfusion following exposure to radiotherapy: A theoretical investigation</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><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. 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perfusion following exposure to radiotherapy: A theoretical investigation</title><author>Köry, Jakub ; Narain, Vedang ; Stolz, Bernadette J ; Kaeppler, Jakob ; Markelc, Bostjan ; Muschel, Ruth J ; Maini, Philip K ; Pitt-Francis, Joe M ; Byrne, Helen M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-36160551fbac54a21e2812f5da0c78fa12d6af04dba26419a9d85ce0966596113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Angiogenesis</topic><topic>Biology and Life Sciences</topic><topic>Blood flow</topic><topic>Blood vessels</topic><topic>DNA damage</topic><topic>Heterogeneity</topic><topic>Hypoxia</topic><topic>Irradiation</topic><topic>Medicine and Health Sciences</topic><topic>Perfusion</topic><topic>Physical Sciences</topic><topic>Post-irradiation</topic><topic>Radiation therapy</topic><topic>Research and Analysis 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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. 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subjects | Angiogenesis Biology and Life Sciences Blood flow Blood vessels DNA damage Heterogeneity Hypoxia Irradiation Medicine and Health Sciences Perfusion Physical Sciences Post-irradiation Radiation therapy Research and Analysis Methods Retina Tumors Vascular endothelial growth factor |
title | Enhanced perfusion following exposure to radiotherapy: A theoretical investigation |
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