Literature DB >> 25427284

A tumor growth model with deformable ECM.

G Sciumè1, R Santagiuliana, M Ferrari, P Decuzzi, B A Schrefler.   

Abstract

Existing tumor growth models based on fluid analogy for the cells do not generally include the extracellular matrix (ECM), or if present, take it as rigid. The three-fluid model originally proposed by the authors and comprising tumor cells (TC), host cells (HC), interstitial fluid (IF) and an ECM, considered up to now only a rigid ECM in the applications. This limitation is here relaxed and the deformability of the ECM is investigated in detail. The ECM is modeled as a porous solid matrix with Green-elastic and elasto-visco-plastic material behavior within a large strain approach. Jauman and Truesdell objective stress measures are adopted together with the deformation rate tensor. Numerical results are first compared with those of a reference experiment of a multicellular tumor spheroid (MTS) growing in vitro, then three different tumor cases are studied: growth of an MTS in a decellularized ECM, growth of a spheroid in the presence of host cells and growth of a melanoma. The influence of the stiffness of the ECM is evidenced and comparison with the case of a rigid ECM is made. The processes in a deformable ECM are more rapid than in a rigid ECM and the obtained growth pattern differs. The reasons for this are due to the changes in porosity induced by the tumor growth. These changes are inhibited in a rigid ECM. This enhanced computational model emphasizes the importance of properly characterizing the biomechanical behavior of the malignant mass in all its components to correctly predict its temporal and spatial pattern evolution.

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Year:  2014        PMID: 25427284      PMCID: PMC4632987          DOI: 10.1088/1478-3975/11/6/065004

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  20 in total

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5.  A multiphase model for three-dimensional tumor growth.

Authors:  G Sciumè; S Shelton; Wg Gray; Ct Miller; F Hussain; M Ferrari; P Decuzzi; Ba Schrefler
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6.  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
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5.  Simulation of Multispecies Desmoplastic Cancer Growth via a Fully Adaptive Non-linear Full Multigrid Algorithm.

Authors:  Chin F Ng; Hermann B Frieboes
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6.  Extension of a multiphase tumour growth model to study nanoparticle delivery to solid tumours.

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Review 7.  Mechanical Pressure Driving Proteoglycan Expression in Mammographic Density: a Self-perpetuating Cycle?

Authors:  Gina Reye; Xuan Huang; Larisa M Haupt; Ryan J Murphy; Jason J Northey; Erik W Thompson; Konstantin I Momot; Honor J Hugo
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8.  In silico modeling for tumor growth visualization.

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Journal:  BMC Syst Biol       Date:  2016-08-08

Review 9.  Computational models of melanoma.

Authors:  Marco Albrecht; Philippe Lucarelli; Dagmar Kulms; Thomas Sauter
Journal:  Theor Biol Med Model       Date:  2020-05-14       Impact factor: 2.432

  9 in total

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