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@ARTICLE{Willscher:177734,
      author       = {E. Willscher and L. Hopp and M. Kreuz and M. Schmidt and S.
                      Hakobyan and A. Arakelyan and B. Hentschel and D. T. W.
                      Jones$^*$ and S. M. Pfister$^*$ and M. Loeffler and H.
                      Loeffler-Wirth and H. Binder},
      title        = {{H}igh-{R}esolution {C}artography of the {T}ranscriptome
                      and {M}ethylome {L}andscapes of {D}iffuse {G}liomas.},
      journal      = {Cancers},
      volume       = {13},
      number       = {13},
      issn         = {2072-6694},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DKFZ-2021-02775},
      pages        = {3198},
      year         = {2021},
      abstract     = {Molecular mechanisms of lower-grade (II-III) diffuse
                      gliomas (LGG) are still poorly understood, mainly because of
                      their heterogeneity. They split into astrocytoma- (IDH-A)
                      and oligodendroglioma-like (IDH-O) tumors both carrying
                      mutations(s) at the isocitrate dehydrogenase (IDH) gene and
                      into IDH wild type (IDH-wt) gliomas of glioblastoma
                      resemblance. We generated detailed maps of the
                      transcriptomes and DNA methylomes, revealing that cell
                      functions divided into three major archetypic hallmarks: (i)
                      increased proliferation in IDH-wt and, to a lesser degree,
                      IDH-O; (ii) increased inflammation in IDH-A and IDH-wt; and
                      (iii) the loss of synaptic transmission in all subtypes.
                      Immunogenic properties of IDH-A are diverse, partly
                      resembling signatures observed in grade IV mesenchymal
                      glioblastomas or in grade I pilocytic astrocytomas. We
                      analyzed details of coregulation between gene expression and
                      DNA methylation and of the immunogenic micro-environment
                      presumably driving tumor development and treatment
                      resistance. Our transcriptome and methylome maps support
                      personalized, case-by-case views to decipher the
                      heterogeneity of glioma states in terms of data portraits.
                      Thereby, molecular cartography provides a graphical
                      coordinate system that links gene-level information with
                      glioma subtypes, their phenotypes, and clinical context.},
      subtyp        = {Letter},
      keywords     = {DNA methylation (Other) / gene expression (Other) / grade
                      II–IV gliomas (Other) / integrative bioinformatics (Other)
                      / molecular subtypes (Other) / self-organizing maps machine
                      learning (Other) / tumor evolution (Other) / tumor
                      heterogeneity (Other)},
      cin          = {B360 / B062},
      ddc          = {610},
      cid          = {I:(DE-He78)B360-20160331 / I:(DE-He78)B062-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34206856},
      pmc          = {pmc:PMC8268631},
      doi          = {10.3390/cancers13133198},
      url          = {https://inrepo02.dkfz.de/record/177734},
}