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A Mimic of the Tumor Microenvironment: A Simple Method for Generating Enriched Cell Populations and Investigating Intercellular Communication
Published on: September 20, 2016
Implications of a simple mathematical model to cancer cell population dynamics
A L Garner1, Y Y Lau, D W Jordan
1Bioelectromagnetism Laboratory, Department of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI 48109-2104, USA.
Abstract:
Recent research in cancer progression and treatment indicates that many forms of cancer arise from the development of a small subpopulation of abnormal cancer stem cells (CSCs) that promote cancer growth and spread. Many potential treatments preferentially interact with cells at certain stages of the cell cycle by either selective killing or halting the cell cycle, such as intense, nanosecond-duration pulsed electric fields (nsPEFs). Simple mathematical models of unfed cancer cell populations at the plateau of their growth characteristics may estimate the long-term consequences of these treatments on proliferating and quiescent cell populations. Applying such a model with no transition from the quiescent to proliferating state shows that it is possible for the proliferating cell population to fall below 1 if the quiescent cell population obtains a sufficient competitive advantage with respect to nutrient consumption and/or survival rate. Introducing small, realistic transition rates did not appreciably alter short-term or long-term population behaviour, indicating that the predicted small cell population behaviour (< 1 cell) is not an artefact of the simpler model. Experimental observations of nsPEF-induced effects on the cell cycle suggest that such a model may serve as a first step in assessing the viability of a given cancer treatment in vitro prior to clinical application.
Insights
Mathematical models show that cancer stem cell (CSC) treatments, like pulsed electric fields, can eliminate cancer by targeting proliferating and quiescent cells. Even with cell cycle transitions, models predict successful eradication of cancer stem cells.
Area of Science:
- Cancer Biology
- Mathematical Modeling
- Cell Cycle Dynamics
Background:
- Cancer progression is driven by a small subpopulation of abnormal cancer stem cells (CSCs).
- Cancer treatments, including pulsed electric fields (nsPEFs), often target specific cell cycle stages.
- Understanding the long-term effects of treatments on proliferating and quiescent cell populations is crucial.
Purpose of the Study:
- To estimate the long-term consequences of cancer treatments on proliferating and quiescent cell populations using mathematical models.
- To assess the viability of treatments targeting cancer stem cells (CSCs) by modeling their population dynamics.
Main Methods:
- Developed simple mathematical models for unfed cancer cell populations at their growth plateau.
- Simulated treatment effects on proliferating and quiescent cell populations, with and without cell cycle transitions.
- Incorporated competitive advantages in nutrient consumption and survival rates for quiescent cells.
Main Results:
- Models predicted that the proliferating cell population can fall below one cell under specific conditions.
- A sufficient competitive advantage for the quiescent cell population can lead to eradication.
- Small, realistic transition rates between cell states did not significantly alter short-term or long-term population behavior.
Conclusions:
- Mathematical modeling provides a valuable tool for predicting the efficacy of cancer stem cell (CSC) treatments.
- The model suggests that treatments like nsPEFs could potentially eradicate cancer by targeting CSCs.
- This approach can serve as a preliminary assessment of cancer treatment viability in vitro before clinical application.
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