Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks

Abstract Glioblastoma multiforme alters healthy tissue vasculature by inducing angiogenesis and vascular remodeling. To fully comprehend the structural and functional properties of the resulting vascular network, it needs to be studied collectively by considering both geometric and topological prope...

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Autores principales: Artur Hahn, Julia Bode, Thomas Krüwel, Gergely Solecki, Sabine Heiland, Martin Bendszus, Björn Tews, Frank Winkler, Michael O. Breckwoldt, Felix T. Kurz
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Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/c52a1c805c874baa838ea36edac69ca7
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spelling oai:doaj.org-article:c52a1c805c874baa838ea36edac69ca72021-12-02T15:09:15ZGlioblastoma multiforme restructures the topological connectivity of cerebrovascular networks10.1038/s41598-019-47567-w2045-2322https://doaj.org/article/c52a1c805c874baa838ea36edac69ca72019-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-47567-whttps://doaj.org/toc/2045-2322Abstract Glioblastoma multiforme alters healthy tissue vasculature by inducing angiogenesis and vascular remodeling. To fully comprehend the structural and functional properties of the resulting vascular network, it needs to be studied collectively by considering both geometric and topological properties. Utilizing Single Plane Illumination Microscopy (SPIM), the detailed capillary structure in entire healthy and tumor-bearing mouse brains could be resolved in three dimensions. At the scale of the smallest capillaries, the entire vascular systems of bulk U87- and GL261-glioblastoma xenografts, their respective cores, and healthy brain hemispheres were modeled as complex networks and quantified with fundamental topological measures. All individual vessel segments were further quantified geometrically and modular clusters were uncovered and characterized as meta-networks, facilitating an analysis of large-scale connectivity. An inclusive comparison of large tissue sections revealed that geometric properties of individual vessels were altered in glioblastoma in a relatively subtle way, with high intra- and inter-tumor heterogeneity, compared to the impact on the vessel connectivity. A network topology analysis revealed a clear decomposition of large modular structures and hierarchical network organization, while preserving most fundamental topological classifications, in both tumor models with distinct growth patterns. These results augment our understanding of cerebrovascular networks and offer a topological assessment of glioma-induced vascular remodeling. The findings may help understand the emergence of hypoxia and necrosis, and prove valuable for therapeutic interventions such as radiation or antiangiogenic therapy.Artur HahnJulia BodeThomas KrüwelGergely SoleckiSabine HeilandMartin BendszusBjörn TewsFrank WinklerMichael O. BreckwoldtFelix T. KurzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-17 (2019)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Artur Hahn
Julia Bode
Thomas Krüwel
Gergely Solecki
Sabine Heiland
Martin Bendszus
Björn Tews
Frank Winkler
Michael O. Breckwoldt
Felix T. Kurz
Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
description Abstract Glioblastoma multiforme alters healthy tissue vasculature by inducing angiogenesis and vascular remodeling. To fully comprehend the structural and functional properties of the resulting vascular network, it needs to be studied collectively by considering both geometric and topological properties. Utilizing Single Plane Illumination Microscopy (SPIM), the detailed capillary structure in entire healthy and tumor-bearing mouse brains could be resolved in three dimensions. At the scale of the smallest capillaries, the entire vascular systems of bulk U87- and GL261-glioblastoma xenografts, their respective cores, and healthy brain hemispheres were modeled as complex networks and quantified with fundamental topological measures. All individual vessel segments were further quantified geometrically and modular clusters were uncovered and characterized as meta-networks, facilitating an analysis of large-scale connectivity. An inclusive comparison of large tissue sections revealed that geometric properties of individual vessels were altered in glioblastoma in a relatively subtle way, with high intra- and inter-tumor heterogeneity, compared to the impact on the vessel connectivity. A network topology analysis revealed a clear decomposition of large modular structures and hierarchical network organization, while preserving most fundamental topological classifications, in both tumor models with distinct growth patterns. These results augment our understanding of cerebrovascular networks and offer a topological assessment of glioma-induced vascular remodeling. The findings may help understand the emergence of hypoxia and necrosis, and prove valuable for therapeutic interventions such as radiation or antiangiogenic therapy.
format article
author Artur Hahn
Julia Bode
Thomas Krüwel
Gergely Solecki
Sabine Heiland
Martin Bendszus
Björn Tews
Frank Winkler
Michael O. Breckwoldt
Felix T. Kurz
author_facet Artur Hahn
Julia Bode
Thomas Krüwel
Gergely Solecki
Sabine Heiland
Martin Bendszus
Björn Tews
Frank Winkler
Michael O. Breckwoldt
Felix T. Kurz
author_sort Artur Hahn
title Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
title_short Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
title_full Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
title_fullStr Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
title_full_unstemmed Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
title_sort glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/c52a1c805c874baa838ea36edac69ca7
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