Literature DB >> 35811645

A continuum mechanical framework for modeling tumor growth and treatment in two- and three-phase systems.

Cass T Miller1, William G Gray1, Bernhard A Schrefler2.   

Abstract

The growth and treatment of tumors is an important problem to society that involves the manifestation of cellular phenomena at length scales on the order of centimeters. Continuum mechanical approaches are being increasingly used to model tumors at the largest length scales of concern. The issue of how to best connect such descriptions to smaller-scale descriptions remains open. We formulate a framework to derive macroscale models of tumor behavior using the thermodynamically constrained averaging theory (TCAT), which provides a firm connection with the microscale and constraints on permissible forms of closure relations. We build on developments in the porous medium mechanics literature to formulate fundamental entropy inequality expressions for a general class of three-phase, compositional models at the macroscale. We use the general framework derived to formulate two classes of models, a two-phase model and a three-phase model. The general TCAT framework derived forms the basis for a wide range of potential models of varying sophistication, which can be derived, approximated, and applied to understand not only tumor growth but also the effectiveness of various treatment modalities.

Entities:  

Keywords:  Mass transfer; Model formulation; Multiphase flow; Porous medium; Reactions; Species transport; TCAT

Year:  2021        PMID: 35811645      PMCID: PMC9269988          DOI: 10.1007/s00419-021-01891-8

Source DB:  PubMed          Journal:  Arch Appl Mech        ISSN: 0939-1533            Impact factor:   2.467


  45 in total

1.  In silico estimates of the free energy rates in growing tumor spheroids.

Authors:  H Narayanan; S N Verner; K L Mills; R Kemkemer; K Garikipati
Journal:  J Phys Condens Matter       Date:  2010-04-26       Impact factor: 2.333

2.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

3.  Nonlinear simulations of solid tumor growth using a mixture model: invasion and branching.

Authors:  Vittorio Cristini; Xiangrong Li; John S Lowengrub; Steven M Wise
Journal:  J Math Biol       Date:  2008-09-12       Impact factor: 2.259

4.  Tumor growth modeling from the perspective of multiphase porous media mechanics.

Authors:  G Sciumè; S E Shelton; W G Gray; C T Millers; F Hussain; M Ferrari; P Decuzzi; B A Schrefler
Journal:  Mol Cell Biomech       Date:  2012-09

5.  Three-dimensional multispecies nonlinear tumor growth--I Model and numerical method.

Authors:  S M Wise; J S Lowengrub; H B Frieboes; V Cristini
Journal:  J Theor Biol       Date:  2008-03-28       Impact factor: 2.691

6.  A fully coupled space-time multiscale modeling framework for predicting tumor growth.

Authors:  Mohammad Mamunur Rahman; Yusheng Feng; Thomas E Yankeelov; J Tinsley Oden
Journal:  Comput Methods Appl Mech Eng       Date:  2017-03-21       Impact factor: 6.756

Review 7.  Non-genetic heterogeneity--a mutation-independent driving force for the somatic evolution of tumours.

Authors:  Amy Brock; Hannah Chang; Sui Huang
Journal:  Nat Rev Genet       Date:  2009-05       Impact factor: 53.242

Review 8.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

9.  Dying cell clearance and its impact on the outcome of tumor radiotherapy.

Authors:  Kirsten Lauber; Anne Ernst; Michael Orth; Martin Herrmann; Claus Belka
Journal:  Front Oncol       Date:  2012-09-11       Impact factor: 6.244

10.  Inter- and intra-patient heterogeneity of response and progression to targeted therapy in metastatic melanoma.

Authors:  Alexander M Menzies; Lauren E Haydu; Matteo S Carlino; Mary W F Azer; Peter J A Carr; Richard F Kefford; Georgina V Long
Journal:  PLoS One       Date:  2014-01-06       Impact factor: 3.240

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