ArticleScience advances2020
Role of mechanical cues and hypoxia on the growth of tumor cells in strong and weak confinement: A dual in vitro-in silico approach.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mimicking tumor hypoxia in a glioblastoma-on-a-chip.Materials today. Bio · 2026Article
- A Versatile Microfluidic Extrusion-Based Hydrogel Platform for Self-Organization and Long-Term Maintenance of Engineered 3D Lymphatic Endothelium.Advanced healthcare materials · 2026Article
- CXCL10-dependent epithelial-vascular cross-talk for endothelial activation following SARS-CoV-2 infection.Scientific reports · 2025Article
- Mechanobiology of 3D cell confinement and extracellular crowding.Biophysical reviews · 2024Review
- The Applications and Challenges of the Development ofCellular and molecular bioengineering · 2023Review
- Growth and adaptation mechanisms of tumour spheroids with time-dependent oxygen availability.PLoS computational biology · 2023Article
- Comparing the Secretomes of Chemorefractory and Chemoresistant Ovarian Cancer Cell Populations.Cancers · 2022Review
- Viscoelasticity Acts as a Marker for Tumor Extracellular Matrix Characteristics.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Characterization of tumor growth dynamics is of major importance for cancer understanding. By contrast with phenomenological approaches, mechanistic modeling can facilitate disclosing underlying tumor mechanisms and lead to identification of physical factors affecting proliferation and invasive behavior. Current mathematical models are often formulated at the tissue or organ scale with the scope of a direct clinical usefulness. Consequently, these approaches remain empirical and do not allow gaining insight into the tumor properties at the scale of small cell aggregates. Here, experimental and numerical studies of the dynamics of tumor aggregates are performed to propose a physics-based mathematical model as a general framework to investigate tumor microenvironment. The quantitative data extracted from the cellular capsule technology microfluidic experiments allow a thorough quantitative comparison with in silico experiments. This dual approach demonstrates the relative impact of oxygen and external mechanical forces during the time course of tumor model progression.
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Registered trials
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