Literature DB >> 32394987

A Coupled Mass Transport and Deformation Theory of Multi-constituent Tumor Growth.

Danial Faghihi1, Xinzeng Feng2, Ernesto A B F Lima2, J Tinsley Oden2,3,4,5,6, Thomas E Yankeelov2,7,8,9,6.   

Abstract

We develop a general class of thermodynamically consistent, continuum models based on mixture theory with phase effects that describe the behavior of a mass of multiple interacting constituents. The constituents consist of solid species undergoing large elastic deformations and compressible viscous fluids. The fundamental building blocks framing the mixture theories consist of the mass balance law of diffusing species and microscopic (cellular scale) and macroscopic (tissue scale) force balances, as well as energy balance and the entropy production inequality derived from the first and second laws of thermodynamics. A general phase-field framework is developed by closing the system through postulating constitutive equations (i.e., specific forms of free energy and rate of dissipation potentials) to depict the growth of tumors in a microenvironment. A notable feature of this theory is that it contains a unified continuum mechanics framework for addressing the interactions of multiple species evolving in both space and time and involved in biological growth of soft tissues (e.g., tumor cells and nutrients). The formulation also accounts for the regulating roles of the mechanical deformation on the growth of tumors, through a physically and mathematically consistent coupled diffusion and deformation framework. A new algorithm for numerical approximation of the proposed model using mixed finite elements is presented. The results of numerical experiments indicate that the proposed theory captures critical features of avascular tumor growth in the various microenvironment of living tissue, in agreement with the experimental studies in the literature.

Entities:  

Keywords:  Biochemomechanical coupling; Hyperelastic solid; Mixture theory; Phase-field; Tumor growth

Year:  2020        PMID: 32394987      PMCID: PMC7213200          DOI: 10.1016/j.jmps.2020.103936

Source DB:  PubMed          Journal:  J Mech Phys Solids        ISSN: 0022-5096            Impact factor:   5.471


  74 in total

1.  Intercellular adhesion and cancer invasion: a discrete simulation using the extended Potts model.

Authors:  Stephen Turner; Jonathan A Sherratt
Journal:  J Theor Biol       Date:  2002-05-07       Impact factor: 2.691

2.  The role of stress in the growth of a multicell spheroid.

Authors:  D Ambrosi; F Mollica
Journal:  J Math Biol       Date:  2003-12-02       Impact factor: 2.259

3.  Compatibility and the genesis of residual stress by volumetric growth.

Authors:  R Skalak; S Zargaryan; R K Jain; P A Netti; A Hoger
Journal:  J Math Biol       Date:  1996       Impact factor: 2.259

Review 4.  Progress Towards Computational 3-D Multicellular Systems Biology.

Authors:  Paul Macklin; Hermann B Frieboes; Jessica L Sparks; Ahmadreza Ghaffarizadeh; Samuel H Friedman; Edwin F Juarez; Edmond Jonckheere; Shannon M Mumenthaler
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

5.  Selection, calibration, and validation of models of tumor growth.

Authors:  E A B F Lima; J T Oden; D A Hormuth; T E Yankeelov; R C Almeida
Journal:  Math Models Methods Appl Sci       Date:  2016-10-03       Impact factor: 3.817

6.  Simulating the impact of a molecular 'decision-process' on cellular phenotype and multicellular patterns in brain tumors.

Authors:  Chaitanya Athale; Yuri Mansury; Thomas S Deisboeck
Journal:  J Theor Biol       Date:  2004-11-30       Impact factor: 2.691

7.  Matrix crosslinking forces tumor progression by enhancing integrin signaling.

Authors:  Kandice R Levental; Hongmei Yu; Laura Kass; Johnathon N Lakins; Mikala Egeblad; Janine T Erler; Sheri F T Fong; Katalin Csiszar; Amato Giaccia; Wolfgang Weninger; Mitsuo Yamauchi; David L Gasser; Valerie M Weaver
Journal:  Cell       Date:  2009-11-25       Impact factor: 41.582

8.  The role of cell-cell interactions in a two-phase model for avascular tumour growth.

Authors:  C J W Breward; H M Byrne; C E Lewis
Journal:  J Math Biol       Date:  2002-08       Impact factor: 2.259

9.  Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data.

Authors:  E A B F Lima; N Ghousifam; A Ozkan; J T Oden; A Shahmoradi; M N Rylander; B Wohlmuth; T E Yankeelov
Journal:  Sci Rep       Date:  2018-09-28       Impact factor: 4.379

10.  Micro-environmental mechanical stress controls tumor spheroid size and morphology by suppressing proliferation and inducing apoptosis in cancer cells.

Authors:  Gang Cheng; Janet Tse; Rakesh K Jain; Lance L Munn
Journal:  PLoS One       Date:  2009-02-27       Impact factor: 3.240

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  3 in total

1.  Multiphasic modelling and computation of metastatic lung-cancer cell proliferation and atrophy in brain tissue based on experimental data.

Authors:  Wolfgang Ehlers; Markus Morrison Rehm; Patrick Schröder; Daniela Stöhr; Arndt Wagner
Journal:  Biomech Model Mechanobiol       Date:  2021-12-17

2.  Modeling neuron growth using isogeometric collocation based phase field method.

Authors:  Kuanren Qian; Aishwarya Pawar; Ashlee Liao; Cosmin Anitescu; Victoria Webster-Wood; Adam W Feinberg; Timon Rabczuk; Yongjie Jessica Zhang
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

3.  Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth.

Authors:  Ernesto A B F Lima; Danial Faghihi; Russell Philley; Jianchen Yang; John Virostko; Caleb M Phillips; Thomas E Yankeelov
Journal:  PLoS Comput Biol       Date:  2021-11-29       Impact factor: 4.475

  3 in total

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