Abstract

From the perspective of systems science, tumorigenesis can be hypothesized as a critical transition (an abrupt shift from one state to another) between proliferative and apoptotic attractors on the state space of a molecular interaction network, for which an attractor is defined as a stable state to which all initial states ultimately converge, and the region of convergence is called the basin of attraction. Before the critical transition, a cellular state might transit between the basin of attraction for an apoptotic attractor and that for a proliferative attractor due to the noise induced by the inherent stochasticity in molecular interactions. Such a flickering state transition (state transition between the basins of attraction for alternative attractors from the impact of noise) would become more frequent as the cellular state approaches near the boundary of the basin of attraction, which can increase the variation in the estimate of the respective basin size. To investigate this for colorectal tumorigenesis, we have constructed a stochastic Boolean network model of the molecular interaction network that contains an important set of proteins known to be involved in cancer. In particular, we considered 100 representative sequences of 20 gene mutations that drive colorectal tumorigenesis. We investigated the appearance of cancerous cells by examining the basin size of apoptotic, quiescent, and proliferative attractors along with the sequential accumulation of gene mutations during colorectal tumorigenesis. We introduced a measure to detect the flickering state transition as the variation in the estimate of the basin sizes for three-phenotype attractors from the impact of noise. Interestingly, we found that this measure abruptly increases before a cell becomes cancerous during colorectal tumorigenesis in most of the gene mutation sequences under a certain level of stochastic noise. This suggests that a frequent flickering state transition can be a precritical phenomenon of colorectal tumorigenesis.

Highlights

  • Cancer is a genetic disease driven by the accumulation of genetic mutations [1,2,3]

  • Under various levels of noise intensity, we investigated the presence of a flickering state transition during colorectal tumorigenesis in a stochastic Boolean network model of a cell

  • The frequent flickering state transition occurs before a critical transition to an alternative state; from the impact of noise, the state of a system frequently switches back and forth between the basins of attraction for alternative attractors, and it increases the variation in the estimate of the respective basin sizes

Read more

Summary

Introduction

Cancer is a genetic disease driven by the accumulation of genetic mutations [1,2,3]. Genetic mutations lead to a cell undergoing suppressed cell death and uncontrolled cell proliferation, which are hall marks of cancer [4, 5]. Creixell et al [6] reviewed that the state space of dynamic cellular networks can be represented as attractor landscapes, where stable steady states (attractors) and unstable steady states are represented as valleys and mountains, respectively. They explained that cells are constantly navigating this attractor landscape and are pushed from one state to another by intracellular or different environmental cues, to drive biological decision processes. The sequential accumulation of genetic mutations may reshape the attractor landscape so that a cell is frequently attracted to proliferative attractors, resulting in tumorigenesis

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call