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@ARTICLE{Yuan:285382,
      author       = {T. Yuan$^*$ and D. Edelmann$^*$ and J. N. Kather and Z.
                      Fan$^*$ and K. E. Tagscherer and W. Roth and M.
                      Bewerunge-Hudler$^*$ and A. Brobeil and M. Kloor$^*$ and H.
                      Bläker and B. Burwinkel$^*$ and H. Brenner$^*$ and M.
                      Hoffmeister$^*$},
      title        = {{C}p{G}-biomarkers in tumor tissue and prediction models
                      for the survival of colorectal cancer: a systematic review
                      and external validation study.},
      journal      = {Critical reviews in oncology, hematology},
      volume       = {193},
      issn         = {0737-9587},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2023-02351},
      pages        = {104199},
      year         = {2024},
      note         = {#EA:C070#LA:C070# / Volume 193, January 2024, 104199 / KST:
                      F210 as Contributor},
      abstract     = {The research aimed to identify CpG-methylation-based
                      prognostic biomarkers and prediction models for colorectal
                      cancer (CRC) prognosis and validate them in a large external
                      cohort. A systematic search was conducted, analyzing 298
                      unique CpGs and 12 CpG-based prognostic models from 28
                      studies. After adjustment for clinical variables, 48 CpGs
                      and five prognostic models were confirmed to be associated
                      with survival. However, the discrimination ability of the
                      models was insufficient, with area under the receiver
                      operating characteristic curves ranging from 0.53 to 0.62.
                      Calibration accuracy was mostly poor, and no significant
                      added prognostic value beyond traditional clinical variables
                      was observed. All prognostic models were also rated at high
                      risk of bias. While a fraction of CpGs showed potential
                      clinical utility and generalizability, the CpG-based
                      prognostic models performed poorly and lacked clinical
                      relevance.},
      subtyp        = {Review Article},
      keywords     = {DNA methylation (Other) / biomarkers (Other) / colorectal
                      cancer (Other) / external validation (Other) / prognosis
                      (Other)},
      cin          = {C070 / C120 / HD01 / C060 / W110 / C080 / F210},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)HD01-20160331 / I:(DE-He78)C060-20160331 /
                      I:(DE-He78)W110-20160331 / I:(DE-He78)C080-20160331 /
                      I:(DE-He78)F210-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37952858},
      doi          = {10.1016/j.critrevonc.2023.104199},
      url          = {https://inrepo02.dkfz.de/record/285382},
}