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@ARTICLE{Zhang:156919,
      author       = {Y. Zhang and M. Bewerunge-Hudler$^*$ and M. Schick$^*$ and
                      B. Burwinkel$^*$ and E. Herpel and M. Hoffmeister$^*$ and H.
                      Brenner$^*$},
      title        = {{B}lood-derived {DNA} methylation predictors of mortality
                      discriminate tumor and healthy tissue in multiple organs.},
      journal      = {Molecular oncology},
      volume       = {14},
      number       = {9},
      issn         = {1878-0261},
      address      = {Hoboken, NJ},
      publisher    = {John Wiley $\&$ Sons, Inc.},
      reportid     = {DKFZ-2020-01226},
      pages        = {2111-2123},
      year         = {2020},
      note         = {2020 Sep;14(9):2111-2123#EA:C070#LA:C070#},
      abstract     = {Evidence has shown that certain methylation markers derived
                      from blood can mirror corresponding methylation signatures
                      in internal tissues. In the current study, we aimed to
                      investigate two strong epigenetic predictors for life span,
                      derived from blood DNA methylation data, in tissue samples
                      of solid cancer patients. Using data from the Cancer Genome
                      Atlas (TCGA) and the German DACHS study, we compared a
                      mortality risk score (MRscore) and DNAmPhenoAge in paired
                      tumor and adjacent normal tissue samples of patients with
                      lung (N = 69), colorectal (n = 299), breast (n = 90),
                      head/neck (n = 50), prostate (n = 50), and liver
                      (n = 50) cancer. To explore the concordance across tissue
                      and blood, we additionally assessed the two markers in blood
                      samples of colorectal cancer (CRC) cases and matched
                      controls (n = 93) in the DACHS+ study. The MRscore was
                      significantly elevated in tumor tissues compared to normal
                      tissues of all cancers except prostate cancer, for which an
                      opposite pattern was observed. DNAmPhenoAge was consistently
                      higher in all tumor tissues. The MRscore discriminated lung,
                      colorectal, and prostate tumor tissues from normal tissues
                      with very high accuracy [AUCs of 0.87, 0.99 (TCGA) /0.94
                      (DACHS), and 0.92, respectively]. DNAmPhenoAge accurately
                      discriminated five types of tumor tissues from normal
                      tissues (except prostate cancer), with AUCs of 0.82-0.93.
                      The MRscore was also significantly higher in blood samples
                      of CRC cases than in controls, with areas under the curve
                      (AUC) of 0.74, whereas DNAmPhenoAge did not distinguish
                      cases from controls, with AUC of 0.54. This study provides
                      compelling evidence that blood-derived DNAm markers could
                      reflect methylation changes in less accessible tissues.
                      Further research should explore the potential use of these
                      findings for cancer diagnosis and early detection.},
      cin          = {C070 / HD01 / W110 / C080 / C120},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)HD01-20160331 /
                      I:(DE-He78)W110-20160331 / I:(DE-He78)C080-20160331 /
                      I:(DE-He78)C120-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32506842},
      doi          = {10.1002/1878-0261.12738},
      url          = {https://inrepo02.dkfz.de/record/156919},
}