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Non-linear tumor-immune interactions arising from spatial metabolic heterogeneity

Mark Robertson-Tessi, Robert J. Gillies, Robert A. Gatenby, Alexander R. A. Anderson
doi: https://doi.org/10.1101/038273
Mark Robertson-Tessi
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Robert J. Gillies
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Robert A. Gatenby
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Alexander R. A. Anderson
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Abstract

A hybrid multiscale mathematical model of tumor growth is used to investigate how tumoral and microenvironmental heterogeneity affect the response of the immune system. The model includes vascular dynamics and evolution of metabolic tumor phenotypes. Cytotoxic T cells are simulated, and their effect on tumor growth is shown to be dependent on the structure of the microenvironment and the distribution of tumor phenotypes. Importantly, no single immune strategy is best at all stages of tumor growth.

Footnotes

  • Research supported by the Moffitt Cancer Center PSOC, NIH/NCI U54CA143970.

  • M. Robertson-Tessi (813-745-6818; e-mail: mark.robertsontessi{at}moffitt.org), R. J. Gillies (email: robert.gillies{at}moffitt.org), R. A. Gatenby (email: robert.gatenby{at}moffitt.org) and A. R. A. Anderson (alexander.anderson{at}moffitt.org) are with the Moffitt Cancer Center, Tampa, FL 33612 USA.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 04, 2016.
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Non-linear tumor-immune interactions arising from spatial metabolic heterogeneity
Mark Robertson-Tessi, Robert J. Gillies, Robert A. Gatenby, Alexander R. A. Anderson
bioRxiv 038273; doi: https://doi.org/10.1101/038273
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Non-linear tumor-immune interactions arising from spatial metabolic heterogeneity
Mark Robertson-Tessi, Robert J. Gillies, Robert A. Gatenby, Alexander R. A. Anderson
bioRxiv 038273; doi: https://doi.org/10.1101/038273

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