Mathematical modelling of microtumour infiltration based on in vitro experiments

The present mathematical models of microtumours consider, in general, volumetric growth and spherical tumour invasion shapes. Nevertheless in many cases, such as in gliomas, a need for more accurate delineation of tumour infiltration areas in a patient-specific manner has arisen. The objective of th...

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Autores principales: Guerra, Liliana Noemí, Soba, Alejandro, Calvo, Juan Carlos, Suárez, Cecilia Ana
Publicado: 2016
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17579694_v8_n8_p879_Lujan
http://hdl.handle.net/20.500.12110/paper_17579694_v8_n8_p879_Lujan
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spelling paper:paper_17579694_v8_n8_p879_Lujan2023-06-08T16:28:58Z Mathematical modelling of microtumour infiltration based on in vitro experiments Guerra, Liliana Noemí Soba, Alejandro Calvo, Juan Carlos Suárez, Cecilia Ana animal cell animal experiment Article cell proliferation collagen degradation controlled study diffusion coefficient epithelium cell experimental neoplasm image processing in vitro study mathematical model Monte Carlo method mouse nonhuman phenotype priority journal surface property tumor cell tumor invasion tumor microenvironment tumor spheroid animal biological model biophysics brain tumor computer simulation epithelium glioma human metabolism microcirculation multicellular spheroid neoplasm pathology Animals Biophysical Phenomena Brain Neoplasms Cell Proliferation Computer Simulation Epithelium Glioma Humans Image Processing, Computer-Assisted In Vitro Techniques Mice Microcirculation Models, Biological Monte Carlo Method Neoplasm Invasiveness Neoplasms Spheroids, Cellular The present mathematical models of microtumours consider, in general, volumetric growth and spherical tumour invasion shapes. Nevertheless in many cases, such as in gliomas, a need for more accurate delineation of tumour infiltration areas in a patient-specific manner has arisen. The objective of this study was to build a mathematical model able to describe in a case-specific way as well as to predict in a probabilistic way the growth and the real invasion pattern of multicellular tumour spheroids (in vitro model of an avascular microtumour) immersed in a collagen matrix. The two-dimensional theoretical model was represented by a reaction-convection-diffusion equation that considers logistic proliferation, volumetric growth, a rim with proliferative cells at the tumour surface and invasion with diffusive and convective components. Population parameter values of the model were extracted from the experimental dataset and a shape function that describes the invasion area was derived from each experimental case by image processing. New possible and aleatory shape functions were generated by data mining and Monte Carlo tools by means of a satellite EGARCH model, which were fed with all the shape functions of the dataset. Then the main model is used in two different ways: to reproduce the growth and invasion of a given experimental tumour in a case-specific manner when fed with the corresponding shape function (descriptive simulations) or to generate new possible tumour cases that respond to the general population pattern when fed with an aleatory-generated shape function (predictive simulations). Both types of simulations are in good agreement with empirical data, as it was revealed by area quantification and Bland-Altman analysis. This kind of experimental-numerical interaction has wide application potential in designing new strategies able to predict as much as possible the invasive behaviour of a tumour based on its particular characteristics and microenvironment. © 2016 The Royal Society of Chemistry. Fil:Guerra, L.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Soba, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Calvo, J.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Suárez, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17579694_v8_n8_p879_Lujan http://hdl.handle.net/20.500.12110/paper_17579694_v8_n8_p879_Lujan
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic animal cell
animal experiment
Article
cell proliferation
collagen degradation
controlled study
diffusion coefficient
epithelium cell
experimental neoplasm
image processing
in vitro study
mathematical model
Monte Carlo method
mouse
nonhuman
phenotype
priority journal
surface property
tumor cell
tumor invasion
tumor microenvironment
tumor spheroid
animal
biological model
biophysics
brain tumor
computer simulation
epithelium
glioma
human
metabolism
microcirculation
multicellular spheroid
neoplasm
pathology
Animals
Biophysical Phenomena
Brain Neoplasms
Cell Proliferation
Computer Simulation
Epithelium
Glioma
Humans
Image Processing, Computer-Assisted
In Vitro Techniques
Mice
Microcirculation
Models, Biological
Monte Carlo Method
Neoplasm Invasiveness
Neoplasms
Spheroids, Cellular
spellingShingle animal cell
animal experiment
Article
cell proliferation
collagen degradation
controlled study
diffusion coefficient
epithelium cell
experimental neoplasm
image processing
in vitro study
mathematical model
Monte Carlo method
mouse
nonhuman
phenotype
priority journal
surface property
tumor cell
tumor invasion
tumor microenvironment
tumor spheroid
animal
biological model
biophysics
brain tumor
computer simulation
epithelium
glioma
human
metabolism
microcirculation
multicellular spheroid
neoplasm
pathology
Animals
Biophysical Phenomena
Brain Neoplasms
Cell Proliferation
Computer Simulation
Epithelium
Glioma
Humans
Image Processing, Computer-Assisted
In Vitro Techniques
Mice
Microcirculation
Models, Biological
Monte Carlo Method
Neoplasm Invasiveness
Neoplasms
Spheroids, Cellular
Guerra, Liliana Noemí
Soba, Alejandro
Calvo, Juan Carlos
Suárez, Cecilia Ana
Mathematical modelling of microtumour infiltration based on in vitro experiments
topic_facet animal cell
animal experiment
Article
cell proliferation
collagen degradation
controlled study
diffusion coefficient
epithelium cell
experimental neoplasm
image processing
in vitro study
mathematical model
Monte Carlo method
mouse
nonhuman
phenotype
priority journal
surface property
tumor cell
tumor invasion
tumor microenvironment
tumor spheroid
animal
biological model
biophysics
brain tumor
computer simulation
epithelium
glioma
human
metabolism
microcirculation
multicellular spheroid
neoplasm
pathology
Animals
Biophysical Phenomena
Brain Neoplasms
Cell Proliferation
Computer Simulation
Epithelium
Glioma
Humans
Image Processing, Computer-Assisted
In Vitro Techniques
Mice
Microcirculation
Models, Biological
Monte Carlo Method
Neoplasm Invasiveness
Neoplasms
Spheroids, Cellular
description The present mathematical models of microtumours consider, in general, volumetric growth and spherical tumour invasion shapes. Nevertheless in many cases, such as in gliomas, a need for more accurate delineation of tumour infiltration areas in a patient-specific manner has arisen. The objective of this study was to build a mathematical model able to describe in a case-specific way as well as to predict in a probabilistic way the growth and the real invasion pattern of multicellular tumour spheroids (in vitro model of an avascular microtumour) immersed in a collagen matrix. The two-dimensional theoretical model was represented by a reaction-convection-diffusion equation that considers logistic proliferation, volumetric growth, a rim with proliferative cells at the tumour surface and invasion with diffusive and convective components. Population parameter values of the model were extracted from the experimental dataset and a shape function that describes the invasion area was derived from each experimental case by image processing. New possible and aleatory shape functions were generated by data mining and Monte Carlo tools by means of a satellite EGARCH model, which were fed with all the shape functions of the dataset. Then the main model is used in two different ways: to reproduce the growth and invasion of a given experimental tumour in a case-specific manner when fed with the corresponding shape function (descriptive simulations) or to generate new possible tumour cases that respond to the general population pattern when fed with an aleatory-generated shape function (predictive simulations). Both types of simulations are in good agreement with empirical data, as it was revealed by area quantification and Bland-Altman analysis. This kind of experimental-numerical interaction has wide application potential in designing new strategies able to predict as much as possible the invasive behaviour of a tumour based on its particular characteristics and microenvironment. © 2016 The Royal Society of Chemistry.
author Guerra, Liliana Noemí
Soba, Alejandro
Calvo, Juan Carlos
Suárez, Cecilia Ana
author_facet Guerra, Liliana Noemí
Soba, Alejandro
Calvo, Juan Carlos
Suárez, Cecilia Ana
author_sort Guerra, Liliana Noemí
title Mathematical modelling of microtumour infiltration based on in vitro experiments
title_short Mathematical modelling of microtumour infiltration based on in vitro experiments
title_full Mathematical modelling of microtumour infiltration based on in vitro experiments
title_fullStr Mathematical modelling of microtumour infiltration based on in vitro experiments
title_full_unstemmed Mathematical modelling of microtumour infiltration based on in vitro experiments
title_sort mathematical modelling of microtumour infiltration based on in vitro experiments
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17579694_v8_n8_p879_Lujan
http://hdl.handle.net/20.500.12110/paper_17579694_v8_n8_p879_Lujan
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