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@ARTICLE{Pajtler:127266,
      author       = {K. Pajtler$^*$ and H. Witt$^*$ and M. Sill$^*$ and D.
                      Jones$^*$ and V. Hovestadt$^*$ and F. Kratochwil$^*$ and K.
                      Wani and R. Tatevossian and C. Punchihewa and P. Johann$^*$
                      and J. Reimand and H.-J. Warnatz and M. Ryzhova and S. Mack
                      and V. Ramaswamy and D. Capper$^*$ and L. Schweizer$^*$ and
                      L. Sieber$^*$ and A. Wittmann$^*$ and Z. Huang$^*$ and P.
                      van Sluis and R. Volckmann and J. Koster and R. Versteeg and
                      D. Fults and H. Toledano and S. Avigad and L. M. Hoffman and
                      A. M. Donson and N. Foreman and E. Hewer and K. Zitterbart
                      and M. Gilbert and T. S. Armstrong and N. Gupta and J. C.
                      Allen and M. A. Karajannis and D. Zagzag and M. Hasselblatt
                      and A. E. Kulozik and O. Witt$^*$ and V. P. Collins and K.
                      von Hoff and S. Rutkowski and T. Pietsch and G. Bader and
                      M.-L. Yaspo and A. von Deimling$^*$ and P. Lichter$^*$ and
                      M. D. Taylor and R. Gilbertson and D. W. Ellison and K.
                      Aldape and A. Korshunov$^*$ and M. Kool$^*$ and S.
                      Pfister$^*$},
      title        = {{M}olecular {C}lassification of {E}pendymal {T}umors across
                      {A}ll {CNS} {C}ompartments, {H}istopathological {G}rades,
                      and {A}ge {G}roups.},
      journal      = {Cancer cell},
      volume       = {27},
      number       = {5},
      issn         = {1535-6108},
      address      = {Cambridge, Mass.},
      publisher    = {Cell Press},
      reportid     = {DKFZ-2017-03291},
      pages        = {728 - 743},
      year         = {2015},
      abstract     = {Ependymal tumors across age groups are currently classified
                      and graded solely by histopathology. It is, however,
                      commonly accepted that this classification scheme has
                      limited clinical utility based on its lack of
                      reproducibility in predicting patients' outcome. We aimed at
                      establishing a uniform molecular classification using DNA
                      methylation profiling. Nine molecular subgroups were
                      identified in a large cohort of 500 tumors, 3 in each
                      anatomical compartment of the CNS, spine, posterior fossa,
                      supratentorial. Two supratentorial subgroups are
                      characterized by prototypic fusion genes involving RELA and
                      YAP1, respectively. Regarding clinical associations, the
                      molecular classification proposed herein outperforms the
                      current histopathological classification and thus might
                      serve as a basis for the next World Health Organization
                      classification of CNS tumors.},
      keywords     = {Adaptor Proteins, Signal Transducing (NLM Chemicals) /
                      Phosphoproteins (NLM Chemicals) / YAP1 (Yes-associated)
                      protein, human (NLM Chemicals)},
      cin          = {B062 / C060 / B060 / G380 / G340 / L101},
      ddc          = {610},
      cid          = {I:(DE-He78)B062-20160331 / I:(DE-He78)C060-20160331 /
                      I:(DE-He78)B060-20160331 / I:(DE-He78)G380-20160331 /
                      I:(DE-He78)G340-20160331 / 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:25965575},
      pmc          = {pmc:PMC4712639},
      doi          = {10.1016/j.ccell.2015.04.002},
      url          = {https://inrepo02.dkfz.de/record/127266},
}