Details

Autor(en) / Beteiligte

• Gupta, Piyush B.
• Fillmore, Christine M.
• Jiang, Guozhi
• Shapira, Sagi D.
• Tao, Kai
• Kuperwasser, Charlotte
• Lander, Eric S.

Titel

Stochastic State Transitions Give Rise to Phenotypic Equilibrium in Populations of Cancer Cells

Ist Teil von

• Cell, 2011-08, Vol.146 (4), p.633-644

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2011

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Cancer cells within individual tumors often exist in distinct phenotypic states that differ in functional attributes. While cancer cell populations typically display distinctive equilibria in the proportion of cells in various states, the mechanisms by which this occurs are poorly understood. Here, we study the dynamics of phenotypic proportions in human breast cancer cell lines. We show that subpopulations of cells purified for a given phenotypic state return towards equilibrium proportions over time. These observations can be explained by a Markov model in which cells transition stochastically between states. A prediction of this model is that, given certain conditions, any subpopulation of cells will return to equilibrium phenotypic proportions over time. A second prediction is that breast cancer stem-like cells arise de novo from non-stem-like cells. These findings contribute to our understanding of cancer heterogeneity and reveal how stochasticity in single-cell behaviors promotes phenotypic equilibrium in populations of cancer cells. [Display omitted] ► Cancer cell populations interconvert between phenotypic states ► Cell-state transitions can be described with a stochastic Markov model ► Markov model predicts convergence to equilibrium phenotypic proportions ► Cancer stem cells can arise de novo from noncancer stem cells