scholarly journals Simulation of avascular tumor growth by agent-based game model involving phenotype-phenotype interactions

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Yong Chen ◽  
Hengtong Wang ◽  
Jiangang Zhang ◽  
Ke Chen ◽  
Yumin Li
Keyword(s):  
Tumor Growth ◽  
Game Model ◽  
Agent Based ◽  
Avascular Tumor

A multiscale agent-based framework integrated with a constraint-based metabolic network model of cancer for simulating avascular tumor growth

2017 ◽  
Vol 13 (9) ◽  
pp. 1888-1897 ◽  
Author(s):  
Mehrdad Ghadiri ◽  
Mahshid Heidari ◽  
Sayed-Amir Marashi ◽  
Seyed Hasan Mousavi
Keyword(s):  
Tumor Growth ◽  
Metabolic Network ◽  
Network Model ◽  
Agent Based ◽  
Metabolic Network Model ◽  
Avascular Tumor

The integration of an agent-based framework with a constraint-based metabolic network model of cancer for simulating avascular tumor growth.

scholarly journals An Agent-Based Model of Avascular Tumor Growth

2015 ◽  
Author(s):  
Ana Victoria Ponce Bobadilla ◽  
◽  
René Doursat ◽  
François Amblard
Keyword(s):  
Tumor Growth ◽  
Agent Based Model ◽  
Agent Based ◽  
Avascular Tumor

scholarly journals An agent-based model of avascular tumor growth: Immune response tendency to prevent cancer development

SIMULATION ◽  
2017 ◽  
Vol 93 (8) ◽  
pp. 641-657 ◽  
Author(s):  
Fateme Pourhasanzade ◽  
S.H Sabzpoushan ◽  
Ali Mohammad Alizadeh ◽  
Ebrahim Esmati
Keyword(s):  
Immune System ◽  
Tumor Growth ◽  
Tumor Cells ◽  
Immune Cells ◽  
Computational Models ◽  
Growth Fraction ◽  
Agent Based Model ◽  
Agent Based ◽  
Clinical Experiments ◽  
Avascular Tumor

Mathematical and computational models are of great help to study and predict phenomena associated with cancer growth and development. These models may lead to introduce new therapies or improve current treatments by discovering facts that may not be easily discovered in clinical experiments. Here, a new two-dimensional (2D) stochastic agent-based model is presented for the spatiotemporal study of avascular tumor growth based on the effect of the immune system. The simple decision-making rules of updating the states of each agent depend not only on its intrinsic properties but also on its environment. Tumor cells can interact with both normal and immune cells in their Moore neighborhood. The effect of hypoxia has been checked off by considering non-mutant proliferative tumor cells beside mutant ones. The recruitment of immune cells after facing a mass of tumor is also considered. Results of the simulations are presented before and after the appearance of immune cells in the studied tissue. The growth fraction and necrotic fraction are used as output parameters along with a 2D graphical growth presentation. Finally, the effect of input parameters on the output parameters generated by the model is discussed. The model is then validated by an in vivo study published in medical articles. The results show a multi-spherical tumor growth before the immune system strongly involved in competition with tumor cells. Besides, considering the immune system in the model shows more compatibility with biological facts. The effect of the microenvironment on the proliferation of cancer and immune cells is also studied.

scholarly journals A Multiscale Model for Avascular Tumor Growth

2005 ◽  
Vol 89 (6) ◽  
pp. 3884-3894 ◽  
Author(s):  
Yi Jiang ◽  
Jelena Pjesivac-Grbovic ◽  
Charles Cantrell ◽  
James P. Freyer
Keyword(s):  
Tumor Growth ◽  
Multiscale Model ◽  
Avascular Tumor

scholarly journals Entropy Production Rate for Avascular Tumor Growth

2011 ◽  
Vol 02 (06) ◽  
pp. 615-620 ◽  
Author(s):  
Elena Izquierdo-Kulich ◽  
Esther Alonso-Becerra ◽  
José M Nieto-Villar
Keyword(s):  
Tumor Growth ◽  
Entropy Production ◽  
Production Rate ◽  
Entropy Production Rate ◽  
Avascular Tumor

Biochemomechanical poroelastic theory of avascular tumor growth

2016 ◽  
Vol 94 ◽  
pp. 409-432 ◽  
Author(s):  
Shi-Lei Xue ◽  
Bo Li ◽  
Xi-Qiao Feng ◽  
Huajian Gao
Keyword(s):  
Tumor Growth ◽  
Poroelastic Theory ◽  
Avascular Tumor
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