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@ARTICLE{Capper:136670,
      author       = {D. Capper$^*$ and D. Stichel$^*$ and F. Sahm$^*$ and D.
                      Jones$^*$ and D. Schrimpf$^*$ and M. Sill$^*$ and S. Schmid
                      and V. Hovestadt and D. E. Reuss$^*$ and C. Koelsche$^*$ and
                      A. Reinhardt$^*$ and A. K. Wefers$^*$ and K. Huang$^*$ and
                      P. Sievers$^*$ and A. Ebrahimi$^*$ and A. Schöler$^*$ and
                      D. Teichmann and A. Koch and D. Hänggi and A. Unterberg and
                      M. Platten$^*$ and W. Wick$^*$ and O. Witt$^*$ and T.
                      Milde$^*$ and A. Korshunov$^*$ and S. Pfister$^*$ and A. von
                      Deimling$^*$},
      title        = {{P}ractical implementation of {DNA} methylation and
                      copy-number-based {CNS} tumor diagnostics: the {H}eidelberg
                      experience.},
      journal      = {Acta neuropathologica},
      volume       = {136},
      number       = {2},
      issn         = {1432-0533},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {DKFZ-2018-01138},
      pages        = {181 - 210},
      year         = {2018},
      abstract     = {Recently, we described a machine learning approach for
                      classification of central nervous system tumors based on the
                      analysis of genome-wide DNA methylation patterns [6]. Here,
                      we report on DNA methylation-based central nervous system
                      (CNS) tumor diagnostics conducted in our institution between
                      the years 2015 and 2018. In this period, more than 1000
                      tumors from the neurosurgical departments in Heidelberg and
                      Mannheim and more than 1000 tumors referred from external
                      institutions were subjected to DNA methylation analysis for
                      diagnostic purposes. We describe our current approach to the
                      integrated diagnosis of CNS tumors with a focus on
                      constellations with conflicts between morphological and
                      molecular genetic findings. We further describe the benefit
                      of integrating DNA copy-number alterations into diagnostic
                      considerations and provide a catalog of copy-number changes
                      for individual DNA methylation classes. We also point to
                      several pitfalls accompanying the diagnostic implementation
                      of DNA methylation profiling and give practical suggestions
                      for recurring diagnostic scenarios.},
      cin          = {G380 / L101 / L201 / G702 / B062 / G160 / G340 / G370},
      ddc          = {610},
      cid          = {I:(DE-He78)G380-20160331 / I:(DE-He78)L101-20160331 /
                      I:(DE-He78)L201-20160331 / I:(DE-He78)G702-20160331 /
                      I:(DE-He78)B062-20160331 / I:(DE-He78)G160-20160331 /
                      I:(DE-He78)G340-20160331 / I:(DE-He78)G370-20160331},
      pnm          = {317 - Translational cancer research (POF3-317)},
      pid          = {G:(DE-HGF)POF3-317},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29967940},
      doi          = {10.1007/s00401-018-1879-y},
      url          = {https://inrepo02.dkfz.de/record/136670},
}