scholarly journals Evolutionary game theory of growth factor production: implications for tumour heterogeneity and resistance to therapies

2013 ◽  
Vol 109 (4) ◽  
pp. 1056-1062 ◽  
Author(s):  
M Archetti
Keyword(s):  
Game Theory ◽  
Growth Factor ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Tumour Heterogeneity ◽  
Factor Production ◽  
Growth Factor Production

scholarly journals Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature

2016 ◽  
Author(s):  
Artem Kaznatcheev ◽  
Robert Vander Velde ◽  
Jacob G. Scott ◽  
David Basanta
Keyword(s):  
Growth Factor ◽  
Public Good ◽  
Aerobic Glycolysis ◽  
Evolutionary Game ◽  
Cell Types ◽  
Tumour Cells ◽  
Order Effects ◽  
Dynamic Heterogeneity ◽  
Factor Production ◽  
Growth Factor Production

AbstractBackgroundTumours are diverse ecosystems with persistent heterogeneity in various cancer hallmarks like self-sufficiency of growth factor production for angiogenesis and reprogramming of energy-metabolism for aerobic glycolysis. This heterogeneity has consequences for diagnosis, treatment, and disease progression.MethodsWe introduce the double goods game to study the dynamics of these traits using evolutionary game theory. We model glycolytic acid production as a public good for all tumour cells and oxygen from vascularization via VEGF production as a club good benefiting non-glycolytic tumour cells. This results in three viable phenotypic strategies: glycolytic, angiogenic, and aerobic non-angiogenic.ResultsWe classify the dynamics into three qualitatively distinct regimes: (1) fully glycolytic, (2) fully angiogenic, or (3) polyclonal in all three cell types. The third regime allows for dynamic heterogeneity even with linear goods, something that was not possible in prior public good models that considered glycolysis or growth-factor production in isolation.ConclusionThe cyclic dynamics of the polyclonal regime stress the importance of timing for antiglycolysis treatments like lonidamine. The existence of qualitatively different dynamic regimes highlights the order effects of treatments. In particular, we consider the potential of vascular renormalization as a neoadjuvant therapy before follow up with interventions like buffer therapy.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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