ArticlePloS one2014
The anomalous diffusion of a tumor invading with different surrounding tissues.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 39 citations in OpenAlex.
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- Tumor Growth, Proliferation and Diffusion in Osteosarcoma.Acta biotheoretica · 2025Article
- A Simple Framework for Agent-Based Modeling with Extracellular Matrix.Bulletin of mathematical biology · 2025Article
- Ladinin-1 in actin arcs of oral squamous cell carcinoma is involved in cell migration and epithelial phenotype.Scientific reports · 2024Article
- Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response.ArXiv · 2023Article
- Unjamming and emergent nonreciprocity in active ploughing through a compressible viscoelastic fluid.Nature communications · 2022Article
- Avascular tumour growth models based on anomalous diffusion.Journal of biological physics · 2020Article
- A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.Biomaterials · 2019Review
- Metabolic reprogramming dynamics in tumor spheroids: Insights from a multicellular, multiscale model.PLoS computational biology · 2019Article
- A Brownian dynamics tumor progression simulator with application to glioblastoma.Convergent science physical oncology · 2018Article
- Tumor proliferation and diffusion on percolation clusters.Journal of biological physics · 2016Article
- Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.Annals of biomedical engineering · 2016Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We simulated the invasion of a proliferating, diffusing tumor within different surrounding tissue conditions using a hybrid mathematical model. The in silico invasion of a tumor was addressed systematically for the first time within the framework of a generalized diffusion theory. Our results reveal that a tumor not only migrates using typical Fickian diffusion, but also migrates more generally using subdiffusion, superdiffusion, and even ballistic diffusion, with increasing mobility of the tumor cell when haptotaxis and chemotaxis toward the host tissue surrounding the proliferative tumor are involved. Five functional terms were included in the hybrid model and their effects on a tumor's invasion were investigated quantitatively: haptotaxis toward the extracellular matrix tissue that is degraded by matrix metalloproteinases; chemotaxis toward nutrients; cell-cell adhesion; the proliferation of the tumor; and the immune response toward the tumor. Haptotaxis and chemotaxis, which are initiated by extracellular matrix and nutrient supply (i.e., glucose) respectively, as well as cell-cell adhesions all drastically affect a tumor's diffusion mode when a tumor invades its surrounding host tissue and proliferates. We verified the in silico invasive behavior of a tumor by analyzing experimental data gathered from the in vitro culturing of different tumor cells and clinical imaging observations that used the same approach as was used to process the simulation data. The different migration modes of a tumor suggested by the simulations generally conform to the results observed in cell cultures and in clinical imaging. Our study not only discloses some migration modes of a tumor that proliferates and invades under different host tissues conditions, but also provides a heuristic method to characterize the invasion of a tumor in clinical medical imaging analysis.
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