ArticlePLoS computational biology2020
Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation.
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 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Bridging single cells to organs: Mesoscale modules as fundamental units of tissue function.Cell · 2025Review
- Unraveling Glioblastoma: TME Implication and Gene Therapy Advances.Current gene therapy · 2025Review
- Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.Cancer biology & therapy · 2024Review
- The self-organized structure of glioma oncostreams and the disruptive role of passive cells.Scientific reports · 2024Article
- Spatiotemporal Insights into Glioma Oncostream Dynamics: Unraveling Formation, Stability, and Disassembly Pathways.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Scale-free correlations and potential criticality in weakly ordered populations of brain cancer cells.Science advances · 2023Article
- A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression.PLoS computational biology · 2023Article
- Quantifying Deformation and Migration Properties of U87 Glioma Cells Using Dielectrophoretic Forces.Biosensors · 2022Article
- Real-Time Monitoring of the Effect of Tumour-Treating Fields on Cell Division Using Live-Cell Imaging.Cells · 2022Article
- Spatial organization of heterogeneous immunotherapy target antigen expression in high-grade glioma.Neoplasia (New York, N.Y.) · 2022Article
- Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression.Nature communications · 2022Article
- The complex interactions between the cellular and non-cellular components of the brain tumor microenvironmental landscape and their therapeutic implications.Frontiers in oncology · 2022Review
- Cell-Instructive Surface Gradients of Photoresponsive Amyloid-like Fibrils.ACS biomaterials science & engineering · 2021Article
- Uncovering Spatiotemporal Heterogeneity of High-Grade Gliomas: From Disease Biology to Therapeutic Implications.Frontiers in oncology · 2021Review
- Is the Fixed Periodic Treatment Effective for the Tumor System without Complete Information?Cancer management and research · 2021Article
- A brain-penetrant microtubule-targeting agent that disrupts hallmarks of glioma tumorigenesis.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Modeling cancer cells is essential to better understand the dynamic nature of brain tumors and glioma cells, including their invasion of normal brain. Our goal is to study how the morphology of the glioma cell influences the formation of patterns of collective behavior such as flocks (cells moving in the same direction) or streams (cells moving in opposite direction) referred to as oncostream. We have observed experimentally that the presence of oncostreams correlates with tumor progression. We propose an original agent-based model that considers each cell as an ellipsoid. We show that stretching cells from round to ellipsoid increases stream formation. A systematic numerical investigation of the model was implemented in [Formula: see text]. We deduce a phase diagram identifying key regimes for the dynamics (e.g. formation of flocks, streams, scattering). Moreover, we study the effect of cellular density and show that, in contrast to classical models of flocking, increasing cellular density reduces the formation of flocks. We observe similar patterns in [Formula: see text] with the noticeable difference that stream formation is more ubiquitous compared to flock formation.
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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.