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@ARTICLE{RiveroHinojosa:136037,
      author       = {S. Rivero-Hinojosa and L. S. Lau and M. Stampar and J.
                      Staal and H. Zhang and H. Gordish-Dressman and P. A.
                      Northcott$^*$ and S. Pfister$^*$ and M. D. Taylor and K. J.
                      Brown and B. R. Rood},
      title        = {{P}roteomic analysis of {M}edulloblastoma reveals
                      functional biology with translational potential.},
      journal      = {Acta Neuropathologica Communications},
      volume       = {6},
      number       = {1},
      issn         = {2051-5960},
      address      = {London},
      publisher    = {Biomed Central},
      reportid     = {DKFZ-2018-00736},
      pages        = {48},
      year         = {2018},
      abstract     = {Genomic characterization has begun to redefine diagnostic
                      classifications of cancers. However, it remains a challenge
                      to infer disease phenotypes from genomic alterations alone.
                      To help realize the promise of genomics, we have performed a
                      quantitative proteomics investigation using Stable Isotope
                      Labeling by Amino Acids in Cell Culture (SILAC) and 41
                      tissue samples spanning the 4 genomically based subgroups of
                      medulloblastoma and control cerebellum. We have identified
                      and quantitated thousands of proteins across these groups
                      and find that we are able to recapitulate the genomic
                      subgroups based upon subgroup restricted and differentially
                      abundant proteins while also identifying subgroup specific
                      protein isoforms. Integrating our proteomic measurements
                      with genomic data, we calculate a poor correlation between
                      mRNA and protein abundance. Using EPIC 850 k methylation
                      array data on the same tissues, we also investigate the
                      influence of copy number alterations and DNA methylation on
                      the proteome in an attempt to characterize the impact of
                      these genetic features on the proteome. Reciprocally, we are
                      able to use the proteome to identify which genomic
                      alterations result in altered protein abundance and thus are
                      most likely to impact biology. Finally, we are able to
                      assemble protein-based pathways yielding potential avenues
                      for clinical intervention. From these, we validate the EIF4F
                      cap-dependent translation pathway as a novel druggable
                      pathway in medulloblastoma. Thus, quantitative proteomics
                      complements genomic platforms to yield a more complete
                      understanding of functional tumor biology and identify novel
                      therapeutic targets for medulloblastoma.},
      cin          = {B062},
      ddc          = {610},
      cid          = {I:(DE-He78)B062-20160331},
      pnm          = {312 - Functional and structural genomics (POF3-312)},
      pid          = {G:(DE-HGF)POF3-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29880060},
      doi          = {10.1186/s40478-018-0548-7},
      url          = {https://inrepo02.dkfz.de/record/136037},
}