Tumor growth and calcification in evolving microenvironmental geometries

被引:7
作者
Chen, Ying [1 ]
Lowengrub, John S. [2 ]
机构
[1] Duke Univ, Dept Math, Durham, NC 27706 USA
[2] Univ Calif Irvine, Dept Math, Dept Biomed Engn, Ctr Complex Biol Syst, Irvine, CA 92717 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
Tumor progression; Basement membrane; Dynamic geometry; Microcalcification; Ductal carcinoma in situ; CARCINOMA IN-SITU; COMPLEX GEOMETRIES; NATURAL-HISTORY; MODEL; BREAST; DCIS; FLOWS; WOMEN;
D O I
10.1016/j.jtbi.2018.12.006
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, we apply the diffuse domain framework developed in Chen and Lowengrub (Tumor growth in complex, evolving microenvironmental geometries: A diffuse domain approach, J. Theor. Biol. 361 (2014) 14-30) to study the effects of a deformable basement membrane (BM) on the growth of a tumor in a confined, ductal geometry, such as ductal carcinoma in situ (DCIS). We use a continuum model of tumor microcalcification and investigate the tumor extent beyond the microcalcification. In order to solve the governing equations efficiently, we develop a stable nonlinear multigrid finite difference method. Two dimensional simulations are performed where the adhesion between tumor cells and the basement membrane is varied. Additional simulations considering the variation of duct radius and membrane stiffness are also conducted. The results demonstrate that enhanced membrane deformability promotes tumor growth and tumor calcification. When the duct radius is small, the cell-BM adhesion is weak or when the membrane is slightly deformed, the mammographic and pathologic tumor extents are linearly correlated, as predicted by Macklin et al. (J. Theor. Biol. 301 (2012) 122-140) using an agent-based model that does not account for the deformability of the basement membrane and the active forces that the membrane imparts on the tumor cells. Interestingly, we predict that when the duct radius is large, there is strong cell-BM adhesion or the membrane is highly deformed, the extents of the mammographic and pathologic tumors are instead quadratically correlated. The simulations can help surgeons to measure DCIS surgical margins while removing less non-cancerous tissue, and can improve targeting of intra- and post-operative radiotherapy. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:138 / 154
页数:17
相关论文
共 51 条
  • [1] Aland S, 2010, CMES-COMP MODEL ENG, V57, P77
  • [2] Diffuse interface models of locally inextensible vesicles in a viscous fluid
    Aland, Sebastian
    Egerer, Sabine
    Lowengrub, John
    Voigt, Axel
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 277 : 32 - 47
  • [3] Albdorf Thomas, 2017, GEN VIEW
  • [4] [Anonymous], 2012, Structural Classification and Properties of Ketoacyl Synthases and Biotin-Dependent Carboxylases
  • [5] [Anonymous], 2007, Comput. Math. Methods Med., DOI DOI 10.1080/17486700701303143
  • [6] COMPUTATIONAL MODELING OF SOLID TUMOR GROWTH: THE AVASCULAR STAGE
    Bresch, Didier
    Colin, Thierry
    Grenier, Emmanuel
    Ribba, Benjamin
    Saut, Olivier
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2010, 32 (04) : 2321 - 2344
  • [7] GROWTH OF NONNECROTIC TUMORS IN THE PRESENCE AND ABSENCE OF INHIBITORS
    BYRNE, HM
    CHAPLAIN, MAJ
    [J]. MATHEMATICAL BIOSCIENCES, 1995, 130 (02) : 151 - 181
  • [8] Examining the Pathogenesis of Breast Cancer Using a Novel Agent-Based Model of Mammary Ductal Epithelium Dynamics
    Chapa, Joaquin
    Bourgo, Ryan J.
    Greene, Geoffrey L.
    Kulkarni, Swati
    An, Gary
    [J]. PLOS ONE, 2013, 8 (05):
  • [9] Efficient energy stable schemes for isotropic and strongly anisotropic Cahn-Hilliard systems with the Willmore regularization
    Chen, Ying
    Lowengrub, John
    Shen, Jie
    Wang, Cheng
    Wise, Steven
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 365 : 56 - 73
  • [10] Tumor growth in complex, evolving microenvironmental geometries: A diffuse domain approach
    Chen, Ying
    Lowengrub, John S.
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2014, 361 : 14 - 30