Jove
Visualize
Contact Us

Related Experiment Videos

Dynamics and pattern formation in invasive tumor growth.

Evgeniy Khain1, Leonard M Sander

  • 1Department of Physics and Michigan Center for Theoretical Physics, The University of Michigan, Ann Arbor, Michigan 48109, USA.

Physical Review Letters
|May 23, 2006
PubMed
Summary

This study models glioblastoma multiforme (GBM) tumor growth using reaction-diffusion equations. It reveals how nutrient and cell diffusion ratios influence invasive patterns, explaining spherical versus branching invasion observed in experiments.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Neuromodulatory effects on synchrony and network reorganization in networks of coupled Kuramoto oscillators.

Physical review. E·2024
Same author

Neuromodulatory effects on synchrony and network reorganization in networks of coupled Kuramoto oscillators.

bioRxiv : the preprint server for biology·2024
Same author

Spatial spread of epidemic with Allee effect.

Physical review. E·2023
Same author

Front propagation in a spatial system of weakly interacting networks.

Physical review. E·2023
Same author

Collective motility and mechanical waves in cell clusters.

The European physical journal. E, Soft matter·2021
Same author

Two-level modeling of quarantine.

Physical review. E·2020
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Area of Science:

  • Mathematical Biology
  • Cancer Research
  • Tumor Dynamics

Background:

  • Glioblastoma multiforme (GBM) is a malignant brain tumor with distinct proliferating and invasive zones.
  • Experimental observations show different GBM cell lines exhibit unique invasion patterns, such as spherical symmetry or branching.

Purpose of the Study:

  • To develop a mathematical model for glioblastoma invasion dynamics.
  • To investigate the relationship between cell and nutrient diffusion and tumor morphology.
  • To explain the observed differences in GBM cell invasion patterns.

Main Methods:

  • Formulation of a mathematical model using two coupled reaction-diffusion equations.
  • Analysis of the model's behavior concerning cell and nutrient concentrations.

Related Experiment Videos

  • Determination of the instability threshold for plane propagating fronts.
  • Main Results:

    • The model predicts that the ratio of nutrient to cell diffusion coefficients is critical for invasion patterns.
    • A critical diffusion ratio triggers instability in plane propagating fronts, leading to branching.
    • The model's phase-plane diagram explains the transition between different invasion behaviors.

    Conclusions:

    • The reaction-diffusion model successfully captures the in vitro dynamics of glioblastoma invasion.
    • The study provides a theoretical framework explaining spherical versus branching invasion based on diffusion properties.
    • Findings offer insights into the mechanisms driving glioblastoma's invasive growth.