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@ARTICLE{Hahn:144589,
      author       = {A. Hahn and J. Bode$^*$ and T. Krüwel$^*$ and G.
                      Solecki$^*$ and S. Heiland and M. Bendszus and B. Tews$^*$
                      and F. Winkler$^*$ and M. Breckwoldt$^*$ and F. T. Kurz},
      title        = {{G}lioblastoma multiforme restructures the topological
                      connectivity of cerebrovascular networks.},
      journal      = {Scientific reports},
      volume       = {9},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {DKFZ-2019-02032},
      pages        = {11757},
      year         = {2019},
      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.},
      cin          = {V077 / B320 / D170 / L101},
      ddc          = {600},
      cid          = {I:(DE-He78)V077-20160331 / I:(DE-He78)B320-20160331 /
                      I:(DE-He78)D170-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {312 - Functional and structural genomics (POF3-312)},
      pid          = {G:(DE-HGF)POF3-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31409816},
      pmc          = {pmc:PMC6692362},
      doi          = {10.1038/s41598-019-47567-w},
      url          = {https://inrepo02.dkfz.de/record/144589},
}