ArticleScientific reports2018
Integrating in vitro experiments with in silico approaches for Glioblastoma invasion: the role of cell-to-cell adhesion heterogeneity.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Dimensional memory in glioblastoma mechanics: Traction force analysis of cells cultured in 2D versus 3D collagen environments.Bioactive materials · 2026Article
- Review
- Drosophila melanogaster as a Model System for Human Glioblastoma.Advances in experimental medicine and biology · 2025Review
- Cancer cell sedimentation in 3D cultures reveals active migration regulated by self-generated gradients and adhesion sites.PLoS computational biology · 2024Article
- Morphological Stability for in silico Models of Avascular Tumors.Bulletin of mathematical biology · 2024Article
- Mathematical Modeling Evaluates How Vaccinations Affected the Course of COVID-19 Disease Progression.Vaccines · 2023Article
- Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023Review
- Immunostaining protocol for infiltrating brain cancer spheroids for light-sheet imaging.PloS one · 2023Article
- Article
- Glioblastoma and the search for non-hypothesis driven combination therapeutics in academia.Frontiers in oncology · 2022Review
- Single-cell tracking reveals super-spreading brain cancer cells with high persistence.Biochemistry and biophysics reports · 2021Article
- PML Differentially Regulates Growth and Invasion in Brain Cancer.International journal of molecular sciences · 2021Article
- In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case.Journal of clinical medicine · 2021Review
- AI in Medical Imaging Informatics: Current Challenges and Future Directions.IEEE journal of biomedical and health informatics · 2020Article
- Molecular Inhibitor of QSOX1 Suppresses Tumor GrowthMolecular cancer therapeutics · 2020Article
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Authors and funding
8 authors.
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Abstract
Glioblastoma cells adopt migration strategies to invade into the brain parenchyma ranging from individual to collective mechanisms, whose role and dynamics are not yet fully understood. In this work, we explore Glioblastoma heterogeneity and recapitulate its invasive patterns both in vitro, by utilizing primary cells along with the U87MG cell line, and in silico, by adopting discrete, individual cell-based mathematics. Glioblastoma cells are cultured three-dimensionally in an ECM-like substrate. The primary Glioblastoma spheroids adopt a novel cohesive pattern, mimicking perivascular invasion in the brain, while the U87MG adopt a typical, starburst invasive pattern under the same experimental setup. Mathematically, we focus on the role of the intrinsic heterogeneity with respect to cell-to-cell adhesion. Our proposed mathematical approach mimics the invasive morphologies observed in vitro and predicts the dynamics of tumour expansion. The role of the proliferation and migration is also explored showing that their effect on tumour morphology is different per cell type. The proposed model suggests that allowing cell-to-cell adhesive heterogeneity within the tumour population is sufficient for variable invasive morphologies to emerge which remain originally undetectable by conventional imaging, indicating that exploration in pathological samples is needed to improve our understanding and reveal potential patient-specific therapeutic targets.
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