Three-dimensional multispecies nonlinear tumor growth-II: Tumor invasion and angiogenesis

JOURNAL OF THEORETICAL BIOLOGY

卷:264

Article

Frieboes, Hermann B.^1,2  Jin, Fang^1,2  Chuang, Yao-Li²  Wise, Steven M.³  Lowengrub, John S.^1,4  Cristini, Vittorio^2,5,6,7 

[1] Univ Calif Irvine, Dept Math, Irvine, CA 92697 USA

[2] Univ Texas Hlth Sci Ctr, Sch Hlth Informat Sci, Houston, TX 77054 USA

[3] Univ Tennessee, Dept Math, Knoxville, TN 37996 USA

[4] Univ Calif Irvine, Dept Biomed Engn, Irvine, CA USA

[5] Univ Texas Hlth Sci Ctr, Dept Biomed Engn, Houston, TX USA

[6] Univ Texas Austin, Dept Biomed Engn, Austin, TX 78712 USA

[7] Univ Texas MD Anderson Canc Ctr, Dept Syst Biol, Houston, TX 77030 USA

关键词: Cancer;    Invasion;    Metastasis;    Computer simulation;    Three dimensional model;   

DOI  :  10.1016/j.jtbi.2010.02.036

来源: Elsevier

【 摘 要 】

We extend the diffuse interface model developed in Wise et al (2008) to study nonlinear tumor growth in 3-D Extensions include the tracking of multiple viable cell species populations through a continuum diffuse-Interface method, onset and aging of discrete tumor vessels through angiogenesis, and incorporation of individual cell movement using a hybrid continuum-discrete approach We investigate disease progression as a function of cellular-scale parameters such as proliferation and oxygen/nutrient uptake rates. We find that heterogeneity in the physiologically complex tumor microenvironment, caused by non-uniform distribution of oxygen, cell nutrients, and metabolites, as well as phenotypic changes affecting cellular-scale parameters, can be quantitatively linked to the tumor macro-scale as a mechanism that promotes morphological instability This instability leads to invasion through tumor infiltration of surrounding healthy tissue Models that employ a biologically founded, multiscale approach, as illustrated in this work, could help to quantitatively link the critical effect of heterogeneity in the tumor microenvironment with clinically observed tumor growth and invasion Using patient tumor-specific parameter values, this may provide a predictive tool to characterize the complex in vivo tumor physiological characteristics and clinical response, and thus lead to Improved treatment modalities and prognosis (C) 2010 Elsevier Ltd All rights reserved.

【 授权许可】

Free