Literature DB >> 20519213

Predictions of tumour morphological stability and evaluation against experimental observations.

Kara Pham1, Hermann B Frieboes, Vittorio Cristini, John Lowengrub.   

Abstract

The hallmark of malignant tumours is their spread into neighbouring tissue and metastasis to distant organs, which can lead to life threatening consequences. One of the defining characteristics of aggressive tumours is an unstable morphology, including the formation of invasive fingers and protrusions observed both in vitro and in vivo. In spite of extensive biological, clinical and modelling study and research at physical scales ranging from the molecular to the tissue, the driving dynamics of tumour invasiveness are not completely understood, partly because it is challenging to observe and study cancer as a multi-scale system. Mathematical modelling has been applied to provide further insights into these complex invasive and metastatic behaviours. Modelling a solid tumour as an incompressible fluid, we consider three possible constitutive relations to describe tumour growth, namely Darcy's law, Stokes' law and the combined Darcy-Stokes law. We study the tumour morphological stability described by each model and evaluate the consistency between theoretical model predictions and experimental data from in vitro three-dimensional multicellular tumour spheroids. The analysis reveals that the Stokes model is the most consistent with the experimental observations, and that it predicts our experimental tumour growth is marginally stable. We further show that it is feasible to extract parameter values from a limited set of data and create a self-consistent modelling framework that can be extended to the multi-scale study of cancer.

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Year:  2010        PMID: 20519213      PMCID: PMC3024820          DOI: 10.1098/rsif.2010.0194

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  32 in total

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

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5.  Multiscale modelling and nonlinear simulation of vascular tumour growth.

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Authors:  S M Wise; J S Lowengrub; H B Frieboes; V Cristini
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9.  Cell adhesion mechanisms and stress relaxation in the mechanics of tumours.

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10.  Influence of glucose and oxygen supply conditions on the oxygenation of multicellular spheroids.

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  14 in total

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2.  A stable scheme for a nonlinear, multiphase tumor growth model with an elastic membrane.

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3.  Three-Dimensional Spatiotemporal Modeling of Colon Cancer Organoids Reveals that Multimodal Control of Stem Cell Self-Renewal is a Critical Determinant of Size and Shape in Early Stages of Tumor Growth.

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Authors:  Huaming Yan; Monica Romero-Lopez; Hermann B Frieboes; Christopher C W Hughes; John S Lowengrub
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5.  Nonlinear studies of tumor morphological stability using a two-fluid flow model.

Authors:  Kara Pham; Emma Turian; Kai Liu; Shuwang Li; John Lowengrub
Journal:  J Math Biol       Date:  2018-03-15       Impact factor: 2.259

Review 6.  The role of engineering approaches in analysing cancer invasion and metastasis.

Authors:  Muhammad H Zaman
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7.  Efficient coarse simulation of a growing avascular tumor.

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8.  Predictive Modeling of Drug Response in Non-Hodgkin's Lymphoma.

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9.  A computational model for predicting nanoparticle accumulation in tumor vasculature.

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