ArticlePLoS computational biology2020
Mathematical modelling reveals cellular dynamics within tumour spheroids.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Radiomics analysis of 3D spheroids captures irradiation-induced structural and textural changes.Scientific reports · 2026Article
- Contributions of single-cell mechanics and cell-cell adhesion to multicellular spheroid mechanics.bioRxiv : the preprint server for biology · 2026Article
- Experimental workflow to evaluate nanoparticles combined with photon and carbon-ion medical irradiations in spheroids.Discover nano · 2026Article
- Apoptosis execution is spatially regulated.Apoptosis : an international journal on programmed cell death · 2026Article
- Combinational studies of BOLD-100/KP1339 with established chemotherapeutics in gastrointestinal multicellular tumor spheroids.Cancer chemotherapy and pharmacology · 2026Article
- Exploring the relationship between vascular remodelling and tumour growth using agent-based modelling.PLoS computational biology · 2026Article
- Novel Diffuse Midline Glioma-on-Chip Recapitulating Tumor Biophysical Microenvironment to Assess the Heterogeneity of Response to Therapies.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Assessment of Anticancer Effects of Aloe vera on 3D Liver Tumor Spheroids in a Microfluidic Platform.Biotechnology and bioengineering · 2025Article
- Multi-scale computational modeling towards efficacy in radiopharmaceutical therapies while minimizing side effects: Modeling of amino acid infusion.PLoS computational biology · 2025Article
- Capacity and limitations of microfluidic flow to increase solute transport in three-dimensional cell cultures.Journal of the Royal Society, Interface · 2025Article
- Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.Cancer biology & therapy · 2024Review
- Characterising Cancer Cell Responses to Cyclic Hypoxia Using Mathematical Modelling.Bulletin of mathematical biology · 2024Article
- Cancer cell sedimentation in 3D cultures reveals active migration regulated by self-generated gradients and adhesion sites.PLoS computational biology · 2024Article
- Metabolic symbiosis between oxygenated and hypoxic tumour cells: An agent-based modelling study.PLoS computational biology · 2024Article
- Alternatively activated macrophages are associated with faster growth rate in vestibular schwannoma.Brain communications · 2024Article
- 3D cell aggregates amplify diffusion signals.PloS one · 2024Article
- The TWW Growth Model and Its Application in the Analysis of Quantitative Polymerase Chain Reaction.Bioinformatics and biology insights · 2024Article
- Modeling the extracellular matrix in cell migration and morphogenesis: a guide for the curious biologist.Frontiers in cell and developmental biology · 2024Review
- Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine.Frontiers in physiology · 2024Review
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Authors and funding
5 authors.
Funding
Abstract
Tumour spheroids are widely used as an in vitro assay for characterising the dynamics and response to treatment of different cancer cell lines. Their popularity is largely due to the reproducible manner in which spheroids grow: the diffusion of nutrients and oxygen from the surrounding culture medium, and their consumption by tumour cells, causes proliferation to be localised at the spheroid boundary. As the spheroid grows, cells at the spheroid centre may become hypoxic and die, forming a necrotic core. The pressure created by the localisation of tumour cell proliferation and death generates an cellular flow of tumour cells from the spheroid rim towards its core. Experiments by Dorie et al. showed that this flow causes inert microspheres to infiltrate into tumour spheroids via advection from the spheroid surface, by adding microbeads to the surface of tumour spheroids and observing the distribution over time. We use an off-lattice hybrid agent-based model to re-assess these experiments and establish the extent to which the spatio-temporal data generated by microspheres can be used to infer kinetic parameters associated with the tumour spheroids that they infiltrate. Variation in these parameters, such as the rate of tumour cell proliferation or sensitivity to hypoxia, can produce spheroids with similar bulk growth dynamics but differing internal compositions (the proportion of the tumour which is proliferating, hypoxic/quiescent and necrotic/nutrient-deficient). We use this model to show that the types of experiment conducted by Dorie et al. could be used to infer spheroid composition and parameters associated with tumour cell lines such as their sensitivity to hypoxia or average rate of proliferation, and note that these observations cannot be conducted within previous continuum models of microbead infiltration into tumour spheroids as they rely on resolving the trajectories of individual microbeads.
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Registered trials
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