Modeling of Multi-groups Solid Tumor Growth Based on Tumor Biochemical Environment

被引:0
作者
Zhang, Lujun [1 ]
Han, Kai [1 ]
Xu, Yonggui [1 ]
机构
[1] Weifang Univ, Sch Phys & Optoelect Engn, Weifang 261061, Peoples R China
来源
2017 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS AND INFORMATION TECHNOLOGY (ICMIT 2017) | 2017年
关键词
Solid tumor growth; mathematical modeling; diffusion-convection-reaction equation; tumor biochemical environment; SIMULATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the aid of computer technology and the use of mathematical physical method, it is of special significance to construct a tumor growth model, to obtain the knowledge of tumor biology behaviors and to assistant clinical treatment. Based on the solid tumor biochemical environment, the proposed model focused on three factors: the concentration of nutrient, extracellular matrix giant molecules, and also tumor surrounding tissue environment characteristics, which were combined to diffusion terms, convection terms and reaction terms of a diffusion-convection-reaction equation which was the foundation of the model. The tumor cells were divided into two groups of proliferating cells and necrotic cells. The proposed model established a coupling model which had respective equations for these two groups of tumor cells, to show the dynamic tumor growth process with the interaction effect of these two groups. The simulation results demonstrated that the proposed model could show the process of tumor growth, and the interaction between the tumor growth and the various factors, and also coincided with the actual tumor biological behaviors.
引用
收藏
页码:24 / 29
页数:6
相关论文
共 13 条
  • [1] Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition
    Alemani, Davide
    Pappalardo, Francesco
    Pennisi, Marzio
    Motta, Santo
    Brusic, Vladimir
    [J]. JOURNAL OF IMMUNOLOGICAL METHODS, 2012, 376 (1-2) : 55 - 68
  • [2] 3D numerical simulation of avascular tumour growth: effect of hypoxic micro-environment in host tissue
    Cai, Yan
    Wu, Jie
    Long, Quan
    Xu, Shi-xiong
    Li, Zhi-yong
    [J]. APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2013, 34 (09) : 1055 - 1068
  • [3] Three-dimensional multispecies nonlinear tumor growth-II: Tumor invasion and angiogenesis
    Frieboes, Hermann B.
    Jin, Fang
    Chuang, Yao-Li
    Wise, Steven M.
    Lowengrub, John S.
    Cristini, Vittorio
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2010, 264 (04) : 1254 - 1278
  • [4] An evolutionary hybrid cellular automaton model of solid tumour growth
    Gerlee, P.
    Anderson, A. R. A.
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2007, 246 (04) : 583 - 603
  • [5] Hybrid discrete-continuum model of tumor growth considering capillary points
    Lyu, Jie
    Xu, Shi-xiong
    Yao, Wei
    Zhou, Yu
    Long, Quan
    [J]. APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2013, 34 (10) : 1237 - 1246
  • [6] Multiscale modelling and nonlinear simulation of vascular tumour growth
    Macklin, Paul
    McDougall, Steven
    Anderson, Alexander R. A.
    Chaplain, Mark A. J.
    Cristini, Vittorio
    Lowengrub, John
    [J]. JOURNAL OF MATHEMATICAL BIOLOGY, 2009, 58 (4-5) : 765 - 798
  • [7] A Hybrid Mathematical Model of Tumor-Induced Angiogenesis with Blood Perfusion
    Meng, Junping
    Dong, Shoubin
    Tang, Liqun
    Jiang, Yi
    [J]. TSINGHUA SCIENCE AND TECHNOLOGY, 2014, 19 (06) : 648 - 657
  • [8] Hybrid models of tumor growth
    Rejniak, Katarzyna A.
    Anderson, Alexander R. A.
    [J]. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE, 2011, 3 (01) : 115 - 125
  • [9] Mathematical models of avascular tumor growth
    Roose, Tiina
    Chapman, S. Jonathan
    Maini, Philip K.
    [J]. SIAM REVIEW, 2007, 49 (02) : 179 - 208
  • [10] Simulating cancer growth with multiscale agent-based modeling
    Wang, Zhihui
    Butner, Joseph D.
    Kerketta, Romica
    Cristini, Vittorio
    Deisboeck, Thomas S.
    [J]. SEMINARS IN CANCER BIOLOGY, 2015, 30 : 70 - 78