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Understanding post-angiogenic tumor growth: Insights from vascular network properties in cellular automata modeling

Author

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  • Legaria-Peña, Juan Uriel
  • Sánchez-Morales, Félix
  • Cortés-Poza, Yuriria

Abstract

Angiogenesis plays a crucial role in tumor progression and is a key target for cancer therapy. This study utilizes a novel cellular automata model to explore post-angiogenic tumor growth, focusing on vascular network properties. We simulate the effects of Vascular Disrupting Agents (VDA) and radiotherapy, analyzing how network parameters, such as clustering coefficient and degree distribution, influence tumor progression and treatment outcomes.

Suggested Citation

  • Legaria-Peña, Juan Uriel & Sánchez-Morales, Félix & Cortés-Poza, Yuriria, 2024. "Understanding post-angiogenic tumor growth: Insights from vascular network properties in cellular automata modeling," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
  • Handle: RePEc:eee:chsofr:v:186:y:2024:i:c:s0960077924007513
    DOI: 10.1016/j.chaos.2024.115199
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