Clonal pattern dynamics in tumor: the concept of cancer stem cells - Sorbonne Université Access content directly
Journal Articles Scientific Reports Year : 2019

Clonal pattern dynamics in tumor: the concept of cancer stem cells


We present a multiphase model for solid tumor initiation and progression focusing on the properties of cancer stem cells (CSC). CSCs are a small and singular cell sub-population having outstanding capacities: high proliferation rate, self-renewal and extreme therapy resistance. Our model takes all these factors into account under a recent perspective: the possibility of phenotype switching of differentiated cancer cells (DC) to the stem cell state, mediated by chemical activators. This plasticity of cancerous cells complicates the complete eradication of CSCs and the tumor suppression. The model in itself requires a sophisticated treatment of population dynamics driven by chemical factors. We analytically demonstrate that the rather important number of parameters, inherent to any biological complexity, is reduced to three pivotal quantities.Three fixed points guide the dynamics, and two of them may lead to an optimistic issue, predicting either a control of the cancerous cell population or a complete eradication. The space environment, critical for the tumor outcome, is introduced via a density formalism. Disordered patterns are obtained inside a stable growing contour driven by the CSC. Somewhat surprisingly, despite the patterning instability, the contour maintains its circular shape but ceases to grow for a typical size independently of segregation patterns or obstacles located inside.
Fichier principal
Vignette du fichier
s41598-019-51575-1.pdf (2.71 Mo) Télécharger le fichier
Origin Publication funded by an institution

Dates and versions

hal-02361911 , version 1 (13-11-2019)



Fabrizio Olmeda, Martine Ben Amar. Clonal pattern dynamics in tumor: the concept of cancer stem cells. Scientific Reports, 2019, 9 (1), pp.15607. ⟨10.1038/s41598-019-51575-1⟩. ⟨hal-02361911⟩
53 View
52 Download



Gmail Mastodon Facebook X LinkedIn More