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@ARTICLE{Buczak:132790,
      author       = {K. Buczak and A. Ori and J. M. Kirkpatrick and K. Holzer
                      and D. Dauch and S. Roessler and V. Endris and F. Lasitschka
                      and L. Parca and A. Schmidt and L. Zender$^*$ and P.
                      Schirmacher and J. Krijgsveld$^*$ and S. Singer and M. Beck},
      title        = {{S}patial {T}issue {P}roteomics {Q}uantifies {I}nter- and
                      {I}ntratumor {H}eterogeneity in {H}epatocellular {C}arcinoma
                      ({HCC}).},
      journal      = {Molecular $\&$ cellular proteomics},
      volume       = {17},
      number       = {4},
      issn         = {1535-9484},
      address      = {Bethesda, Md.},
      publisher    = {The American Society for Biochemistry and Molecular
                      Biology},
      reportid     = {DKFZ-2018-00434},
      pages        = {810 - 825},
      year         = {2018},
      abstract     = {The interpatient variability of tumor proteomes has been
                      investigated on a large scale but many tumors display also
                      intratumoral heterogeneity regarding morphological and
                      genetic features. It remains largely unknown to what extent
                      the local proteome of tumors intrinsically differs. Here, we
                      used hepatocellular carcinoma as a model system to quantify
                      both inter- and intratumor heterogeneity across human
                      patient specimens with spatial resolution. We defined
                      proteomic features that distinguish neoplastic from the
                      directly adjacent nonneoplastic tissue, such as decreased
                      abundance of NADH dehydrogenase complex I. We then
                      demonstrated the existence of intratumoral variations in
                      protein abundance that re-occur across different patient
                      samples, and affect clinically relevant proteins, even in
                      the absence of obvious morphological differences or genetic
                      alterations. Our work demonstrates the suitability and the
                      benefits of using mass spectrometry-based proteomics to
                      analyze diagnostic tumor specimens with spatial resolution.
                      Data are available via ProteomeXchange with identifier
                      PXD007052.},
      cin          = {V076 / B230 / L801},
      ddc          = {540},
      cid          = {I:(DE-He78)V076-20160331 / I:(DE-He78)B230-20160331 /
                      I:(DE-He78)L801-20160331},
      pnm          = {312 - Functional and structural genomics (POF3-312)},
      pid          = {G:(DE-HGF)POF3-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29363612},
      pmc          = {pmc:PMC5880102},
      doi          = {10.1074/mcp.RA117.000189},
      url          = {https://inrepo02.dkfz.de/record/132790},
}