The Role of Oxygen in Avascular Tumor Growth.

The oxygen status of a tumor has significant clinical implications for treatment prognosis, with well-oxygenated subvolumes responding markedly better to radiotherapy than poorly supplied regions. Oxygen is essential for tumor growth, yet estimation of local oxygen distribution can be difficult to a...

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Main Authors: David Robert Grimes, Pavitra Kannan, Alan McIntyre, Anthony Kavanagh, Abul Siddiky, Simon Wigfield, Adrian Harris, Mike Partridge
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4835055?pdf=render
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spelling doaj-81e85474e86b4d5491b90aadd6f5de282020-11-25T02:39:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01114e015369210.1371/journal.pone.0153692The Role of Oxygen in Avascular Tumor Growth.David Robert GrimesPavitra KannanAlan McIntyreAnthony KavanaghAbul SiddikySimon WigfieldAdrian HarrisMike PartridgeThe oxygen status of a tumor has significant clinical implications for treatment prognosis, with well-oxygenated subvolumes responding markedly better to radiotherapy than poorly supplied regions. Oxygen is essential for tumor growth, yet estimation of local oxygen distribution can be difficult to ascertain in situ, due to chaotic patterns of vasculature. It is possible to avoid this confounding influence by using avascular tumor models, such as tumor spheroids, a much better approximation of realistic tumor dynamics than monolayers, where oxygen supply can be described by diffusion alone. Similar to in situ tumours, spheroids exhibit an approximately sigmoidal growth curve, often approximated and fitted by logistic and Gompertzian sigmoid functions. These describe the basic rate of growth well, but do not offer an explicitly mechanistic explanation. This work examines the oxygen dynamics of spheroids and demonstrates that this growth can be derived mechanistically with cellular doubling time and oxygen consumption rate (OCR) being key parameters. The model is fitted to growth curves for a range of cell lines and derived values of OCR are validated using clinical measurement. Finally, we illustrate how changes in OCR due to gemcitabine treatment can be directly inferred using this model.http://europepmc.org/articles/PMC4835055?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author David Robert Grimes
Pavitra Kannan
Alan McIntyre
Anthony Kavanagh
Abul Siddiky
Simon Wigfield
Adrian Harris
Mike Partridge
spellingShingle David Robert Grimes
Pavitra Kannan
Alan McIntyre
Anthony Kavanagh
Abul Siddiky
Simon Wigfield
Adrian Harris
Mike Partridge
The Role of Oxygen in Avascular Tumor Growth.
PLoS ONE
author_facet David Robert Grimes
Pavitra Kannan
Alan McIntyre
Anthony Kavanagh
Abul Siddiky
Simon Wigfield
Adrian Harris
Mike Partridge
author_sort David Robert Grimes
title The Role of Oxygen in Avascular Tumor Growth.
title_short The Role of Oxygen in Avascular Tumor Growth.
title_full The Role of Oxygen in Avascular Tumor Growth.
title_fullStr The Role of Oxygen in Avascular Tumor Growth.
title_full_unstemmed The Role of Oxygen in Avascular Tumor Growth.
title_sort role of oxygen in avascular tumor growth.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description The oxygen status of a tumor has significant clinical implications for treatment prognosis, with well-oxygenated subvolumes responding markedly better to radiotherapy than poorly supplied regions. Oxygen is essential for tumor growth, yet estimation of local oxygen distribution can be difficult to ascertain in situ, due to chaotic patterns of vasculature. It is possible to avoid this confounding influence by using avascular tumor models, such as tumor spheroids, a much better approximation of realistic tumor dynamics than monolayers, where oxygen supply can be described by diffusion alone. Similar to in situ tumours, spheroids exhibit an approximately sigmoidal growth curve, often approximated and fitted by logistic and Gompertzian sigmoid functions. These describe the basic rate of growth well, but do not offer an explicitly mechanistic explanation. This work examines the oxygen dynamics of spheroids and demonstrates that this growth can be derived mechanistically with cellular doubling time and oxygen consumption rate (OCR) being key parameters. The model is fitted to growth curves for a range of cell lines and derived values of OCR are validated using clinical measurement. Finally, we illustrate how changes in OCR due to gemcitabine treatment can be directly inferred using this model.
url http://europepmc.org/articles/PMC4835055?pdf=render
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