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@ARTICLE{Chen:126247,
      author       = {H. Chen$^*$ and M. Zucknick$^*$ and S. Werner$^*$ and P.
                      Knebel and H. Brenner$^*$},
      title        = {{H}ead-to-{H}ead {C}omparison and {E}valuation of 92
                      {P}lasma {P}rotein {B}iomarkers for {E}arly {D}etection of
                      {C}olorectal {C}ancer in a {T}rue {S}creening {S}etting.},
      journal      = {Clinical cancer research},
      volume       = {21},
      number       = {14},
      issn         = {1557-3265},
      address      = {Philadelphia, Pa. [u.a.]},
      publisher    = {AACR},
      reportid     = {DKFZ-2017-02362},
      pages        = {3318 - 3326},
      year         = {2015},
      abstract     = {Novel noninvasive blood-based screening tests are strongly
                      desirable for early detection of colorectal cancer. We aimed
                      to conduct a head-to-head comparison of the diagnostic
                      performance of 92 plasma-based tumor-associated protein
                      biomarkers for early detection of colorectal cancer in a
                      true screening setting.Among all available 35 carriers of
                      colorectal cancer and a representative sample of 54 men and
                      women free of colorectal neoplasms recruited in a cohort of
                      screening colonoscopy participants in 2005-2012 (N = 5,516),
                      the plasma levels of 92 protein biomarkers were measured.
                      ROC analyses were conducted to evaluate the diagnostic
                      performance. A multimarker algorithm was developed through
                      the Lasso logistic regression model and validated in an
                      independent validation set. The .632+ bootstrap method was
                      used to adjust for the potential overestimation of
                      diagnostic performance.Seventeen protein markers were
                      identified to show statistically significant differences in
                      plasma levels between colorectal cancer cases and controls.
                      The adjusted area under the ROC curves (AUC) of these 17
                      individual markers ranged from 0.55 to 0.70. An eight-marker
                      classifier was constructed that increased the adjusted AUC
                      to 0.77 $[95\%$ confidence interval (CI), 0.59-0.91]. When
                      validating this algorithm in an independent validation set,
                      the AUC was 0.76 $(95\%$ CI, 0.65-0.85), and sensitivities
                      at cutoff levels yielding $80\%$ and $90\%$ specificities
                      were $65\%$ $(95\%$ CI, $41-80\%)$ and $44\%$ $(95\%$ CI,
                      $24-72\%),$ respectively.The identified profile of protein
                      biomarkers could contribute to the development of a powerful
                      multimarker blood-based test for early detection of
                      colorectal cancer.},
      keywords     = {Biomarkers, Tumor (NLM Chemicals)},
      cin          = {C070 / C060 / G110 / L101},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C060-20160331 /
                      I:(DE-He78)G110-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:26015516},
      doi          = {10.1158/1078-0432.CCR-14-3051},
      url          = {https://inrepo02.dkfz.de/record/126247},
}