The self-organized structure of glioma oncostreams and the disruptive role of passive cells

Oncostreams are self-organized structures formed by spindle-like, elongated, self-propelled cells recently described in glioblastomas and especially in gliosarcomas. Cells within these structures either move as large clusters in one main direction, flocks, or as linear, intermingling collections of cells advancing in opposite directions, streams. Round, passive cells are also observed, either inside or segregated from the oncostreams. Here we generalize a recently formulated particle-field approach to investigate the genesis and evolution of these structures, first showing that, in systems consisting only of identical self-propelled cells, both flocks and streams emerge as self-organized dynamic configurations. Flocks are the more stable configurations, while streams are transient and usually originate in collisions between flocks. Stream degradation is easier at low self-propulsion speeds. In systems consisting of both motile and passive cells, the latter block stream formation and accelerate their degradation and flock stabilization. Since the flock appears to be the most effective invasive structure, we thus argue that a phenotype mixture (motile and passive cells) may favor glioblastoma invasion. hlBy relating cellular properties to the observed outcome, our model shows that oncostreams are self-organized structures that result from the interplay between speed, shape, and steric repulsion.

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Publication Details

Journal
Scientific Reports
Published
2024-10-25
DOI
https://doi.org/10.1038/s41598-024-74823-5
Citations
3
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.03

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article

The self-organized structure of glioma oncostreams and the disruptive role of passive cells

Lucas Barberis, Syed Mohd Faisal, Pedro R. Löwenstein, C. A. Condat
3 citations
Scientific Reports
Neural dynamics and brain function
1.03
article

The self-organized structure of glioma oncostreams and the disruptive role of passive cells

Lucas Barberis, Syed Mohd Faisal, Pedro R. Löwenstein, C. A. Condat
article en
3 citations

Abstract

Oncostreams are self-organized structures formed by spindle-like, elongated, self-propelled cells recently described in glioblastomas and especially in gliosarcomas. Cells within these structures either move as large clusters in one main direction, flocks, or as linear, intermingling collections of cells advancing in opposite directions, streams. Round, passive cells are also observed, either inside or segregated from the oncostreams. Here we generalize a recently formulated particle-field approach to investigate the genesis and evolution of these structures, first showing that, in systems consisting only of identical self-propelled cells, both flocks and streams emerge as self-organized dynamic configurations. Flocks are the more stable configurations, while streams are transient and usually originate in collisions between flocks. Stream degradation is easier at low self-propulsion speeds. In systems consisting of both motile and passive cells, the latter block stream formation and accelerate their degradation and flock stabilization. Since the flock appears to be the most effective invasive structure, we thus argue that a phenotype mixture (motile and passive cells) may favor glioblastoma invasion. hlBy relating cellular properties to the observed outcome, our model shows that oncostreams are self-organized structures that result from the interplay between speed, shape, and steric repulsion.

Scientific ReportsVol. 14(1)
Centre National de la Recherche Scientifique (FR), University of Michigan (US), CY Cergy Paris Université (FR), Institute of Astronomy and Space Physics (AR)
Pediatric Brain Tumor Foundation, ChadTough Foundation, Ian's Friends Foundation, Consejo Nacional de Investigaciones Científicas y Técnicas, National Institutes of Health, National Cancer Institute, National Institute of Neurological Disorders and Stroke
Zero hunger
Openalex Percentile: Top 24%
Neural dynamics and brain function
1.03
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