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Published on: June 5, 2020
Microenvironmental influence on microtumour infiltration patterns: 3D-mathematical modelling supported by in vitro
Emmanuel Luján1, Daniela Soto, María S Rosito
1Laboratorio de Sistemas Complejos, Instituto de Física del Plasma, CONICET-UBA, Buenos Aires, Argentina. csuarez@dc.uba.ar.
This study presents a combined experimental and numerical method to model avascular microtumor growth and infiltration. The mathematical model accurately reproduces tumor invasion patterns influenced by microenvironmental conditions, offering potential oncology applications.
Area of Science:
- Oncology
- Mathematical Biology
- Biophysics
Background:
- Tumor infiltration and spatial organization are complex, influenced by tumor type, stage, and microenvironment.
- Multidisciplinary and individualized approaches are often necessary for accurate cancer research.
Purpose of the Study:
- To develop a 3D mathematical model combining experimental and numerical methods to simulate avascular microtumor growth and infiltration patterns.
- To investigate the impact of different microenvironmental conditions on tumor behavior.
Main Methods:
- A diffusion-convection reaction equation was used, incorporating logistic proliferation, volumetric growth, and invasion.
- Model parameters were fitted to experimental data from multicellular tumor spheroids (MTSs) in collagen I gels.
- Spatially variable radial velocity and diffusion coefficients were introduced using a shape function and a diffusion-limited-aggregation (DLA)-derived fractal matrix.
Main Results:
- Conditioned media from adipocytes/preadipocytes altered MTS infiltration from collective/laminar to individual/atomized patterns.
- Numerical simulations successfully reproduced both infiltration patterns qualitatively and quantitatively.
- Analyses included area quantification, fractal dimensions, lacunarity, and Bland-Altman analysis.
Conclusions:
- The combined experimental/numerical approach provides a robust framework for modeling tumor microenvironment interactions.
- This method has potential applications in both basic cancer research and clinical oncology.
- The model's ability to reproduce diverse infiltration patterns highlights its versatility.
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