Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation

Sara Jamous, Andrea Comba, Pedro R. Lowenstein, Sebastien Motsch

Research output: Contribution to journalArticle

Abstract

Modeling cancer cells is essential to better understand the dynamic nature of brain tumors and glioma cells, including their invasion of normal brain. Our goal is to study how the morphology of the glioma cell influences the formation of patterns of collective behavior such as flocks (cells moving in the same direction) or streams (cells moving in opposite direction) referred to as oncostream. We have observed experimentally that the presence of oncostreams correlates with tumor progression. We propose an original agent-based model that considers each cell as an ellipsoid. We show that stretching cells from round to ellipsoid increases stream formation. A systematic numerical investigation of the model was implemented in ℝ2. We deduce a phase diagram identifying key regimes for the dynamics (e.g. formation of flocks, streams, scattering). Moreover, we study the effect of cellular density and show that, in contrast to classical models of flocking, increasing cellular density reduces the formation of flocks. We observe similar patterns in ℝ3 with the noticeable difference that stream formation is more ubiquitous compared to flock formation.

Original languageEnglish (US)
Article numbere1007611
JournalPLoS computational biology
Volume16
Issue number5
DOIs
StatePublished - May 1 2020

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Ecology
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

Fingerprint Dive into the research topics of 'Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation'. Together they form a unique fingerprint.

  • Cite this