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dc.contributor.author
Luján, Emmanuel
dc.contributor.author
Soto, Daniela
dc.contributor.author
Rosito, María Sol
dc.contributor.author
Soba, Alejandro
dc.contributor.author
Guerra, Liliana Noemi
dc.contributor.author
Calvo, Juan Carlos
dc.contributor.author
Marshall, Guillermo Ricardo
dc.contributor.author
Suárez, Cecilia Ana
dc.date.available
2019-07-31T13:54:16Z
dc.date.issued
2018-05
dc.identifier.citation
Luján, Emmanuel; Soto, Daniela; Rosito, María Sol; Soba, Alejandro; Guerra, Liliana Noemi; et al.; Microenvironmental influence on microtumour infiltration patterns: 3D-mathematical modelling supported by: In vitro studies; Royal Society of Chemistry; Integrative Biology; 10; 5; 5-2018; 325-334
dc.identifier.issn
1757-9694
dc.identifier.uri
http://hdl.handle.net/11336/80640
dc.description.abstract
Mathematical modelling approaches have become increasingly abundant in cancer research. Tumour infiltration extent and its spatial organization depend both on the tumour type and stage and on the bio-physicochemical characteristics of the microenvironment. This sets a complex scenario that often requires a multidisciplinary and individually adjusted approach. The ultimate goal of this work is to present an experimental/numerical combined method for the development of a three-dimensional mathematical model with the ability to reproduce the growth and infiltration patterns of a given avascular microtumour in response to different microenvironmental conditions. The model is based on a diffusion-convection reaction equation that considers logistic proliferation, volumetric growth, a rim of proliferative cells at the tumour surface, and invasion with diffusive and convective components. The parameter values of the model were fitted to experimental results while radial velocity and diffusion coefficients were made spatially variable in a case-specific way through the introduction of a shape function and a diffusion-limited-aggregation (DLA)-derived fractal matrix, respectively, according to the infiltration pattern observed. The in vitro model consists of multicellular tumour spheroids (MTSs) of an epithelial mammary tumour cell line (LM3) immersed in a collagen I gel matrix with a standard culture medium ("naive" matrix) or a conditioned medium from adipocytes or preadipocytes ("conditioned" matrix). It was experimentally determined that both adipocyte and preadipocyte conditioned media had the ability to change the MTS infiltration pattern from collective and laminar to an individual and atomized one. Numerical simulations were able to adequately reproduce qualitatively and quantitatively both kinds of infiltration patterns, which were determined by area quantification, analysis of fractal dimensions and lacunarity, and Bland-Altman analysis. These results suggest that the combined approach presented here could be established as a new framework with interesting potential applications at both the basic and clinical levels in the oncology area.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Royal Society of Chemistry
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Microtumoural Infiltration
dc.subject
Multicellular Spheroids
dc.subject
In Silico Models
dc.subject
Fractals
dc.title
Microenvironmental influence on microtumour infiltration patterns: 3D-mathematical modelling supported by: In vitro studies
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-07-29T14:54:13Z
dc.journal.volume
10
dc.journal.number
5
dc.journal.pagination
325-334
dc.journal.pais
Reino Unido
dc.journal.ciudad
CAMBRIDGE
dc.description.fil
Fil: Luján, Emmanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
dc.description.fil
Fil: Soto, Daniela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina
dc.description.fil
Fil: Rosito, María Sol. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Soba, Alejandro. Comisión Nacional de Energía Atómica; Argentina
dc.description.fil
Fil: Guerra, Liliana Noemi. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina
dc.description.fil
Fil: Calvo, Juan Carlos. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina
dc.description.fil
Fil: Marshall, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentina
dc.description.fil
Fil: Suárez, Cecilia Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentina
dc.journal.title
Integrative Biology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1039/c8ib00049b
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