Growth of cancer stem cell driven tumors: Staged invasion, linear determinacy, and the tumor invasion paradox

We study growth of solid tumors in a partial differential equation model for the interaction between tumor cells (TCs) and cancer stem cells (CSCs). We find that invasion into the cancer-free state may be separated into two regimes, depending on the death rate of tumor cells. In the first, <italic>staged invasion regime</italic> , invasion into the cancer-free state is lead by tumor cells, which are then subsequently invaded at a slower speed by cancer stem cells. In the second, <italic>TC extinction regime</italic> , cancer stem cells directly invade the cancer-free state. Relying on recent results establishing front selection propagation under marginal stability assumptions, we use geometric singular perturbation theory to establish existence and selection properties of front solutions which describe both the primary and secondary invasion processes. With rigorous predictions for the invasion speeds, we are then able to heuristically predict how the total cancer mass as a function of time depends on the TC death rate, finding in some situations a <italic>tumor invasion paradox</italic> , in which increasing the TC death rate leads to an <italic>increase</italic> in the total cancer mass. Our methods give a general approach for verifying linear determinacy of spreading speeds of invasion fronts in systems with fast-slow structure.

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Publication Details

Journal
Quarterly of Applied Mathematics
Published
2025-10-27
DOI
https://doi.org/10.1090/qam/1726
Primary Topic
Cancer Cells and Metastasis
Type
article
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article

Growth of cancer stem cell driven tumors: Staged invasion, linear determinacy, and the tumor invasion paradox

Montie Avery
Quarterly of Applied Mathematics
Cancer Cells and Metastasis
article

Growth of cancer stem cell driven tumors: Staged invasion, linear determinacy, and the tumor invasion paradox

Montie Avery
article en

Abstract

We study growth of solid tumors in a partial differential equation model for the interaction between tumor cells (TCs) and cancer stem cells (CSCs). We find that invasion into the cancer-free state may be separated into two regimes, depending on the death rate of tumor cells. In the first, <italic>staged invasion regime</italic> , invasion into the cancer-free state is lead by tumor cells, which are then subsequently invaded at a slower speed by cancer stem cells. In the second, <italic>TC extinction regime</italic> , cancer stem cells directly invade the cancer-free state. Relying on recent results establishing front selection propagation under marginal stability assumptions, we use geometric singular perturbation theory to establish existence and selection properties of front solutions which describe both the primary and secondary invasion processes. With rigorous predictions for the invasion speeds, we are then able to heuristically predict how the total cancer mass as a function of time depends on the TC death rate, finding in some situations a <italic>tumor invasion paradox</italic> , in which increasing the TC death rate leads to an <italic>increase</italic> in the total cancer mass. Our methods give a general approach for verifying linear determinacy of spreading speeds of invasion fronts in systems with fast-slow structure.

Quarterly of Applied Mathematics
Emory University (US)
Openalex Percentile: Top 58%
Cancer Cells and Metastasis
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