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Emerging patterns in tumor systems: simulating the dynamics of multicellular clusters with an agent-based spatial

Yuri Mansury1, Mark Kimura, Jose Lobo

  • 1Harvard-MIT Data Center, Harvard University, Cambridge, MA 02138, USA.

Journal of Theoretical Biology
|November 7, 2002
PubMed
Summary

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A Thermodynamic Perspective of Cancer Cells' Volume/Area Expansion Ratio.

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Brain cancer cells form clusters, influencing tumor spread. Our model shows global search leads to rapid but short-lived tumors, while local search creates slower, longer-lasting tumors, impacting brain cancer research.

Area of Science:

  • Computational Biology
  • Cancer Research
  • Biophysics

Background:

  • Brain cancer cells invade surrounding tissue early, hindering complete surgical removal and worsening patient prognosis.
  • Multicellular clusters observed in invasive brain tumors are thought to guide cells toward nutrients in heterogeneous environments.

Purpose of the Study:

  • To investigate the dynamics of cell motility and aggregation in brain tumors using a novel agent-based model.
  • To simulate tumor behavior as complex, dynamic, self-organizing biosystems.

Main Methods:

  • Developed a novel agent-based model of spatio-temporal search and agglomeration for virtual cells.
  • Modeled cell migration based on nutrient attraction and avoidance of toxic metabolites.
  • Incorporated global and local search mechanisms simulating cell-surface receptor-mediated information processing in two stages.

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Main Results:

  • Identified a phase transition leading to two distinct spatio-temporal patterns based on dominant search mechanism.
  • Global search resulted in fewer, larger clusters with rapid expansion and shorter tumor lifetime.
  • Local search produced numerous small clusters with slower expansion and longer lifetime, favoring populations with lower nutrient-depletion rates.

Conclusions:

  • The dominant search mechanism significantly influences brain tumor growth patterns and system lifetime.
  • Local search strategies may offer an advantage for tumor cell populations with reduced nutrient depletion.
  • Findings have important implications for understanding and potentially targeting brain tumor dynamics.