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@ARTICLE{Cimino:131498,
      author       = {P. J. Cimino and M. Zager and L. McFerrin and H.-G.
                      Wirsching and H. Bolouri and B. Hentschel and A. von
                      Deimling$^*$ and D. Jones$^*$ and G. Reifenberger and M.
                      Weller and E. C. Holland},
      title        = {{M}ultidimensional scaling of diffuse gliomas: application
                      to the 2016 {W}orld {H}ealth {O}rganization classification
                      system with prognostically relevant molecular subtype
                      discovery.},
      journal      = {Acta Neuropathologica Communications},
      volume       = {5},
      number       = {1},
      issn         = {2051-5960},
      address      = {London},
      publisher    = {Biomed Central},
      reportid     = {DKFZ-2017-06165},
      pages        = {39},
      year         = {2017},
      abstract     = {Recent updating of the World Health Organization (WHO)
                      classification of central nervous system (CNS) tumors in
                      2016 demonstrates the first organized effort to restructure
                      brain tumor classification by incorporating histomorphologic
                      features with recurrent molecular alterations. Revised CNS
                      tumor diagnostic criteria also attempt to reduce
                      interobserver variability of histological interpretation and
                      provide more accurate stratification related to clinical
                      outcome. As an example, diffuse gliomas (WHO grades II-IV)
                      are now molecularly stratified based upon isocitrate
                      dehydrogenase 1 or 2 (IDH) mutational status, with gliomas
                      of WHO grades II and III being substratified according to
                      1p/19q codeletion status. For now, grading of diffuse
                      gliomas is still dependent upon histological parameters.
                      Independent of WHO classification criteria, multidimensional
                      scaling analysis of molecular signatures for diffuse gliomas
                      from The Cancer Genome Atlas (TCGA) has identified distinct
                      molecular subgroups, and allows for their visualization in
                      2-dimensional (2D) space. Using the web-based platform
                      Oncoscape as a tool, we applied multidimensional
                      scaling-derived molecular groups to the 2D visualization of
                      the 2016 WHO classification of diffuse gliomas. Here we show
                      that molecular multidimensional scaling of TCGA data
                      provides 2D clustering that represents the 2016 WHO
                      classification of diffuse gliomas. Additionally, we used
                      this platform to successfully identify and define novel
                      copy-number alteration-based molecular subtypes, which are
                      independent of WHO grading, as well as predictive of
                      clinical outcome. The prognostic utility of these molecular
                      subtypes was further validated using an independent data set
                      of the German Glioma Network prospective glioblastoma
                      patient cohort.},
      cin          = {G380 / B062},
      ddc          = {610},
      cid          = {I:(DE-He78)G380-20160331 / I:(DE-He78)B062-20160331},
      pnm          = {319H - Addenda (POF3-319H)},
      pid          = {G:(DE-HGF)POF3-319H},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:28532485},
      pmc          = {pmc:PMC5439117},
      doi          = {10.1186/s40478-017-0443-7},
      url          = {https://inrepo02.dkfz.de/record/131498},
}