Cusp Bifurcation in Metastatic Breast Cancer Cells

TL;DR

This paper applies bifurcation theory, specifically cusp bifurcation, to model and understand the transition behaviors of metastatic breast cancer cells, revealing distinct transition modes and their relation to cell cycle commitment.

Contribution

It introduces the application of cusp bifurcation to metastatic cell state transitions and demonstrates its relevance to genetic networks and cell cycle dynamics.

Findings

Cusp bifurcation describes two distinct metastatic cell transition modes.

The model applies to various genetic networks involved in metastasis.

Dynamics post-bifurcation relate to cell cycle commitment phenomena.

Abstract

Ordinary differential equations (ODEs) can model the transition of cell states over time. Bifurcation theory is a branch of dynamical systems which studies changes in the behavior of an ODE system while one or more parameters are varied. We have found that concepts in bifurcation theory may be applied to model metastatic cell behavior. Our results show how a specific phenomenon called a cusp bifurcation describes metastatic cell state transitions, separating two qualitatively different transition modalities. Moreover, we show how the cusp bifurcation models other genetic networks, and we relate the dynamics after the bifurcation to observed phenomena in commitment to enter the cell cycle.