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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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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