Next Article in Journal
Exosomal MicroRNAs in Breast Cancer towards Diagnostic and Therapeutic Applications
Next Article in Special Issue
Epigenetic Regulation of the Epithelial to Mesenchymal Transition in Lung Cancer
Previous Article in Journal
Selection of Nucleic Acid Aptamers Targeting Tumor Cell-Surface Protein Biomarkers
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessReview
Cancers 2017, 9(7), 70; doi:10.3390/cancers9070070

Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory

Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
Graduate Program in Systems, Synthetic and Physical Biology, Rice University, Houston, TX 77005, USA
Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
Department of Bioengineering, Rice University, Houston, TX 77005, USA
Department of Physics and Astronomy, Rice University, Houston, TX 77005, USA
Department of Biosciences, Rice University, Houston, TX 77005, USA
Author to whom correspondence should be addressed.
Academic Editor: Joëlle Roche
Received: 15 May 2017 / Revised: 13 June 2017 / Accepted: 13 June 2017 / Published: 22 June 2017
(This article belongs to the Special Issue The Epithelial-to-Mesenchymal Transition (EMT) in Cancer)
View Full-Text   |   Download PDF [1714 KB, uploaded 29 June 2017]   |  


Waddington’s epigenetic landscape, a famous metaphor in developmental biology, depicts how a stem cell progresses from an undifferentiated phenotype to a differentiated one. The concept of “landscape” in the context of dynamical systems theory represents a high-dimensional space, in which each cell phenotype is considered as an “attractor” that is determined by interactions between multiple molecular players, and is buffered against environmental fluctuations. In addition, biological noise is thought to play an important role during these cell-fate decisions and in fact controls transitions between different phenotypes. Here, we discuss the phenotypic transitions in cancer from a dynamical systems perspective and invoke the concept of “cancer attractors”—hidden stable states of the underlying regulatory network that are not occupied by normal cells. Phenotypic transitions in cancer occur at varying levels depending on the context. Using epithelial-to-mesenchymal transition (EMT), cancer stem-like properties, metabolic reprogramming and the emergence of therapy resistance as examples, we illustrate how phenotypic plasticity in cancer cells enables them to acquire hybrid phenotypes (such as hybrid epithelial/mesenchymal and hybrid metabolic phenotypes) that tend to be more aggressive and notoriously resilient to therapies such as chemotherapy and androgen-deprivation therapy. Furthermore, we highlight multiple factors that may give rise to phenotypic plasticity in cancer cells, such as (a) multi-stability or oscillatory behaviors governed by underlying regulatory networks involved in cell-fate decisions in cancer cells, and (b) network rewiring due to conformational dynamics of intrinsically disordered proteins (IDPs) that are highly enriched in cancer cells. We conclude by discussing why a therapeutic approach that promotes “recanalization”, i.e., the exit from “cancer attractors” and re-entry into “normal attractors”, is more likely to succeed rather than a conventional approach that targets individual molecules/pathways. View Full-Text
Keywords: cell fate decision; cancer attractors; gene network dynamics; EMT; therapy resistance; intrinsically disordered proteins cell fate decision; cancer attractors; gene network dynamics; EMT; therapy resistance; intrinsically disordered proteins

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Jia, D.; Jolly, M.K.; Kulkarni, P.; Levine, H. Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory. Cancers 2017, 9, 70.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Cancers EISSN 2072-6694 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top