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A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels

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A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels. / Ardaševa, Aleksandra; Gatenby, Robert A.; Anderson, Alexander R.A.; Byrne, Helen M.; Maini, Philip K.; Lorenzi, Tommaso.

In: Bulletin of Mathematical Biology, Vol. 82, No. 6, 81, 01.06.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

Ardaševa, A, Gatenby, RA, Anderson, ARA, Byrne, HM, Maini, PK & Lorenzi, T 2020, 'A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels', Bulletin of Mathematical Biology, vol. 82, no. 6, 81. https://doi.org/10.1007/s11538-020-00754-7

APA

Ardaševa, A., Gatenby, R. A., Anderson, A. R. A., Byrne, H. M., Maini, P. K., & Lorenzi, T. (2020). A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels. Bulletin of Mathematical Biology, 82(6), [81]. https://doi.org/10.1007/s11538-020-00754-7

Vancouver

Ardaševa A, Gatenby RA, Anderson ARA, Byrne HM, Maini PK, Lorenzi T. A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels. Bulletin of Mathematical Biology. 2020 Jun 1;82(6). 81. https://doi.org/10.1007/s11538-020-00754-7

Author

Ardaševa, Aleksandra ; Gatenby, Robert A. ; Anderson, Alexander R.A. ; Byrne, Helen M. ; Maini, Philip K. ; Lorenzi, Tommaso. / A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels. In: Bulletin of Mathematical Biology. 2020 ; Vol. 82, No. 6.

Bibtex - Download

@article{192ca523060f45aabbfb0627b761861e,
title = "A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels",
abstract = "The disordered network of blood vessels that arises from tumour angiogenesis results in variations in the delivery of oxygen into the tumour tissue. This brings about regions of chronic hypoxia (i.e. sustained low oxygen levels) and regions with alternating periods of low and relatively higher oxygen levels, and makes it necessary for cancer cells to adapt to fluctuating environmental conditions. We use a phenotype-structured model to dissect the evolutionary dynamics of cell populations exposed to fluctuating oxygen levels. In this model, the phenotypic state of every cell is described by a continuous variable that provides a simple representation of its metabolic phenotype, ranging from fully oxidative to fully glycolytic, and cells are grouped into two competing populations that undergo heritable, spontaneous phenotypic variations at different rates. Model simulations indicate that, depending on the rate at which oxygen is consumed by the cells, dynamic nonlinear interactions between cells and oxygen can stimulate chronic hypoxia and cycling hypoxia. Moreover, the model supports the idea that under chronic-hypoxic conditions lower rates of phenotypic variation lead to a competitive advantage, whereas higher rates of phenotypic variation can confer a competitive advantage under cycling-hypoxic conditions. In the latter case, the numerical results obtained show that bet-hedging evolutionary strategies, whereby cells switch between oxidative and glycolytic phenotypes, can spontaneously emerge. We explain how these results can shed light on the evolutionary process that may underpin the emergence of phenotypic heterogeneity in vascularised tumours.",
keywords = "Adaptive dynamics, Bet-hedging, Cell populations, Fluctuating oxygen levels, Phenotype-structured models",
author = "Aleksandra Arda{\v s}eva and Gatenby, {Robert A.} and Anderson, {Alexander R.A.} and Byrne, {Helen M.} and Maini, {Philip K.} and Tommaso Lorenzi",
year = "2020",
month = jun,
day = "1",
doi = "10.1007/s11538-020-00754-7",
language = "English",
volume = "82",
journal = "Bulletin of Mathematical Biology",
issn = "0092-8240",
publisher = "Springer",
number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels

AU - Ardaševa, Aleksandra

AU - Gatenby, Robert A.

AU - Anderson, Alexander R.A.

AU - Byrne, Helen M.

AU - Maini, Philip K.

AU - Lorenzi, Tommaso

PY - 2020/6/1

Y1 - 2020/6/1

N2 - The disordered network of blood vessels that arises from tumour angiogenesis results in variations in the delivery of oxygen into the tumour tissue. This brings about regions of chronic hypoxia (i.e. sustained low oxygen levels) and regions with alternating periods of low and relatively higher oxygen levels, and makes it necessary for cancer cells to adapt to fluctuating environmental conditions. We use a phenotype-structured model to dissect the evolutionary dynamics of cell populations exposed to fluctuating oxygen levels. In this model, the phenotypic state of every cell is described by a continuous variable that provides a simple representation of its metabolic phenotype, ranging from fully oxidative to fully glycolytic, and cells are grouped into two competing populations that undergo heritable, spontaneous phenotypic variations at different rates. Model simulations indicate that, depending on the rate at which oxygen is consumed by the cells, dynamic nonlinear interactions between cells and oxygen can stimulate chronic hypoxia and cycling hypoxia. Moreover, the model supports the idea that under chronic-hypoxic conditions lower rates of phenotypic variation lead to a competitive advantage, whereas higher rates of phenotypic variation can confer a competitive advantage under cycling-hypoxic conditions. In the latter case, the numerical results obtained show that bet-hedging evolutionary strategies, whereby cells switch between oxidative and glycolytic phenotypes, can spontaneously emerge. We explain how these results can shed light on the evolutionary process that may underpin the emergence of phenotypic heterogeneity in vascularised tumours.

AB - The disordered network of blood vessels that arises from tumour angiogenesis results in variations in the delivery of oxygen into the tumour tissue. This brings about regions of chronic hypoxia (i.e. sustained low oxygen levels) and regions with alternating periods of low and relatively higher oxygen levels, and makes it necessary for cancer cells to adapt to fluctuating environmental conditions. We use a phenotype-structured model to dissect the evolutionary dynamics of cell populations exposed to fluctuating oxygen levels. In this model, the phenotypic state of every cell is described by a continuous variable that provides a simple representation of its metabolic phenotype, ranging from fully oxidative to fully glycolytic, and cells are grouped into two competing populations that undergo heritable, spontaneous phenotypic variations at different rates. Model simulations indicate that, depending on the rate at which oxygen is consumed by the cells, dynamic nonlinear interactions between cells and oxygen can stimulate chronic hypoxia and cycling hypoxia. Moreover, the model supports the idea that under chronic-hypoxic conditions lower rates of phenotypic variation lead to a competitive advantage, whereas higher rates of phenotypic variation can confer a competitive advantage under cycling-hypoxic conditions. In the latter case, the numerical results obtained show that bet-hedging evolutionary strategies, whereby cells switch between oxidative and glycolytic phenotypes, can spontaneously emerge. We explain how these results can shed light on the evolutionary process that may underpin the emergence of phenotypic heterogeneity in vascularised tumours.

KW - Adaptive dynamics

KW - Bet-hedging

KW - Cell populations

KW - Fluctuating oxygen levels

KW - Phenotype-structured models

UR - https://doi.org/10.1101/827980

U2 - 10.1007/s11538-020-00754-7

DO - 10.1007/s11538-020-00754-7

M3 - Article

C2 - 32556703

AN - SCOPUS:85086599803

VL - 82

JO - Bulletin of Mathematical Biology

JF - Bulletin of Mathematical Biology

SN - 0092-8240

IS - 6

M1 - 81

ER -

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