ArticleJournal of the Royal Society, Interface2018
Computational modelling suggests complex interactions between interstitial flow and tumour angiogenesis.
Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 35 citations in OpenAlex.
- Spatial distribution and density of fibroblasts determine angiogenic response of endothelial cells.Research square · 2026Article
- Cancer cell response to extrinsic and intrinsic mechanical cue: opportunities for tumor apoptosis strategies.Regenerative biomaterials · 2024Review
- An in silico model of the capturing of magnetic nanoparticles in tumour spheroids in the presence of flow.Biomedical microdevices · 2023Article
- Approaches to vascular network, blood flow, and metabolite distribution modeling in brain tissue.Biophysical reviews · 2023Review
- Inverting angiogenesis with interstitial flow and chemokine matrix-binding affinity.Scientific reports · 2022Article
- The biophysics of cancer: emerging insights from micro- and nanoscale tools.Advanced nanobiomed research · 2022Article
- A 3D multi-agent-based model for lumen morphogenesis: the role of the biophysical properties of the extracellular matrix.Engineering with computers · 2022Article
- Interstitial flow enhances the formation, connectivity, and function of 3D brain microvascular networks generated within a microfluidic device.Lab on a chip · 2021Article
- Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.Cancers · 2021Review
- Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis.PLoS computational biology · 2021Article
- Simulation of angiogenesis in three dimensions: Application to cerebral cortex.PLoS computational biology · 2021Article
- Effects of biomechanical forces on the biological behavior of cancer stem cells.Journal of Cancer · 2021Review
- Resistance Mechanisms of Anti-angiogenic Therapy and Exosomes-Mediated Revascularization in Cancer.Frontiers in cell and developmental biology · 2020Review
- A review on computational modelling of phase-transition problems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
- Coupling tumor growth and bio distribution models.Biomedical microdevices · 2019Article
- Addressing Patient Specificity in the Engineering of Tumor Models.Frontiers in bioengineering and biotechnology · 2019Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Angiogenesis, the growth of capillaries from pre-existing ones, plays a key role in cancer progression. Tumours release tumour angiogenic factors (TAFs) into the extracellular matrix (ECM) that trigger angiogenesis once they reach the vasculature. The neovasculature provides nutrients and oxygen to the tumour. In the ECM, the interstitial fluid moves driven by pressure differences and may affect the distribution of tumour TAFs, and, in turn, tumour vascularization. In this work, we propose a hybrid mathematical model to investigate the influence of fluid flow in tumour angiogenesis. Our model shows the impact of interstitial flow in a time-evolving capillary network using a continuous approach. The flow model is coupled to a model of angiogenesis that includes tip endothelial cells, filopodia, capillaries and TAFs. The TAF transport equation considers not only diffusive mechanisms but also the convective transport produced by interstitial flow. Our simulations predict a significant alteration of the new vascular networks, which tend to grow more prominently against the flow. The model suggests that interstitial flow may produce increased tumour malignancies and hindered treatments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.