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@ARTICLE{Sill:306804,
      author       = {M. Sill$^*$ and D. Schrimpf$^*$ and A. Patel$^*$ and D.
                      Sturm$^*$ and N. Jäger$^*$ and P. Sievers$^*$ and L.
                      Schweizer$^*$ and R. Banan$^*$ and D. Reuss$^*$ and A.
                      Suwala$^*$ and A. Korshunov$^*$ and D. Stichel$^*$ and A. K.
                      Wefers and A.-C. Hau and H. Boldt and P. Harter$^*$ and Z.
                      Abdullaev and J. Benhamida and D. Teichmann$^*$ and A.
                      Koch$^*$ and J. Hench and S. Frank and M. Hasselblatt and S.
                      Mansouri and T. Díaz de Ståhl and J. Serrano and J.
                      Ecker$^*$ and F. Selt$^*$ and M. Taylor and V. Ramaswamy and
                      F. Cavalli and A. S. Berghoff and B. Bison and M.
                      Blattner-Johnson$^*$ and I. Buchhalter$^*$ and R. Buslei and
                      G. Calaminus and N. Dikow and H. Dohmen and P.
                      Euskirchen$^*$ and G. Fleischhack and A. Gajjar and N. U.
                      Gerber and M. Gessi and G. H. Gielen and A. Gnekow and N. G.
                      Gottardo and C. Haberler and S. Hamelmann$^*$ and V. Hans
                      and J. R. Hansford and C. Hartmann and F. L. Heppner and P.
                      H. Driever and K. von Hoff and U. W. Thomale and S. Tippelt
                      and M. C. Frühwald and C. M. Kramm and U. Schüller and J.
                      Schittenhelm and M. U. Schuhmann and M. Stein and P.
                      Ketteler and M. Ladanyi and N. Jabado and B. C. Jones$^*$
                      and C. Jones and M. A. Karajannis and R. Ketter and P.
                      Kohlhof and U. Kordes and A. Reinhardt and C. Kölsche and
                      K. Lamszus and P. Lichter$^*$ and S. L. N. Maas and C.
                      Mawrin and T. Milde$^*$ and M. Mittelbronn and C.-M.
                      Monoranu and W. Mueller and M. Mynarek and P. A. Northcott
                      and K. W. Pajtler$^*$ and W. Paulus and A. Perry and I.
                      Blümcke and K. H. Plate and M. Platten$^*$ and M. Preusser
                      and T. Pietsch and M. Prinz and G. Reifenberger$^*$ and B.
                      W. Kristensen and M. Kool$^*$ and V. Hovestadt and D. W.
                      Ellison and T. S. Jacques and P. Varlet and N. Etminan and
                      T. Acker and M. Weller and C. L. White and O. Witt$^*$ and
                      C. Herold-Mende and J. Debus$^*$ and S. Krieg and W.
                      Wick$^*$ and M. Snuderl and K. Aldape and S. Brandner and C.
                      Hawkins and C. Horbinski and C. Thomas and P. Wesseling and
                      A. von Deimling$^*$ and D. Capper$^*$ and S. M. Pfister$^*$
                      and D. Jones$^*$ and F. Sahm$^*$},
      title        = {{A}dvancing {CNS} tumor diagnostics with expanded {DNA}
                      methylation-based classification.},
      journal      = {Cancer cell},
      volume       = {nn},
      issn         = {1535-6108},
      address      = {Cambridge, Mass.},
      publisher    = {Cell Press},
      reportid     = {DKFZ-2025-02781},
      pages        = {nn},
      year         = {2025},
      note         = {#EA:B062#LA:B300#LA:B360# / epub},
      abstract     = {DNA methylation-based classification is now central to
                      contemporary neuro-oncology, as highlighted by the World
                      Health Organization (WHO) classification of central nervous
                      system (CNS) tumors. We present the Heidelberg CNS Tumor
                      Methylation Classifier version 12.8 (v12.8), trained on
                      7,495 methylation profiles, which expands recognized
                      entities from 91 classes in version 11 (v11) to 184
                      subclasses. This expansion is a result of newly identified
                      tumor types discovered through our large online repository
                      and global collaborations, underscoring CNS tumor
                      heterogeneity. The random forest-based classifier achieves
                      $95\%$ subclass-level accuracy, with its well-calibrated
                      probabilistic scores providing a reliable measure of
                      confidence for each classification. Its hierarchical output
                      structure enables interpretation across subclass, class,
                      family, and superfamily levels, thereby supporting clinical
                      decisions at multiple granularities. Comparative analyses
                      demonstrate that v12.8 surpasses previous versions and
                      conventional WHO-based approaches. These advances highlight
                      the improved precision and practical utility of the updated
                      classifier in personalized neuro-oncology.},
      keywords     = {CNS tumors (Other) / DNA methylation (Other) / MLOps
                      (Other) / artificial intelligence (Other) / classification
                      (Other) / epigenetics (Other) / machine learning (Other) /
                      molecular diagnostics (Other) / precision medicine (Other) /
                      tumor heterogeneity (Other)},
      cin          = {B062 / HD01 / B300 / B360 / FM01 / MU01 / BE01 / B310 /
                      W500 / W610 / B060 / D170 / ED01 / E050 / B320},
      ddc          = {610},
      cid          = {I:(DE-He78)B062-20160331 / I:(DE-He78)HD01-20160331 /
                      I:(DE-He78)B300-20160331 / I:(DE-He78)B360-20160331 /
                      I:(DE-He78)FM01-20160331 / I:(DE-He78)MU01-20160331 /
                      I:(DE-He78)BE01-20160331 / I:(DE-He78)B310-20160331 /
                      I:(DE-He78)W500-20160331 / I:(DE-He78)W610-20160331 /
                      I:(DE-He78)B060-20160331 / I:(DE-He78)D170-20160331 /
                      I:(DE-He78)ED01-20160331 / I:(DE-He78)E050-20160331 /
                      I:(DE-He78)B320-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41349541},
      doi          = {10.1016/j.ccell.2025.11.002},
      url          = {https://inrepo02.dkfz.de/record/306804},
}