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@ARTICLE{Kaaks:300364,
      author       = {R. Kaaks$^*$ and V. Cooley$^*$ and T. Mukama$^*$ and L. R.
                      Teras and A. V. Patel and G. Masala and M. Crous-Bou and H.
                      R. Harris and H. Langseth and H.-M. Surcel and N. Wentzensen
                      and K. Terry and N. Sasamoto and S. Tworoger and R.
                      Turzanski-Fortner$^*$},
      title        = {{A} {P}rospective {S}tudy {C}onsortium for the {D}iscovery
                      and {V}alidation of {E}arly {D}etection {M}arkers for
                      {O}varian {C}ancer ('{PREDICT}') - {B}aseline findings for
                      {CA}125.},
      journal      = {Clinical cancer research},
      volume       = {31},
      number       = {12},
      issn         = {1078-0432},
      address      = {Philadelphia, Pa. [u.a.]},
      publisher    = {AACR},
      reportid     = {DKFZ-2025-00798},
      pages        = {2441-2453},
      year         = {2025},
      note         = {#EA:C020#LA:C020# / 2025 Jun 13;31(12):2441-2453},
      abstract     = {Epithelial ovarian cancer (EOC) is a lethal malignancy.
                      CA125, the 'best' available marker for detecting EOC, has
                      insufficient sensitivity and specificity for earlier-stage
                      disease and is not a meaningful screening tool, motivating
                      the search for further biomarkers. Cancer biomarker
                      discovery is enhanced by 'omics' technologies. Discovery
                      studies for EOC biomarkers should be conducted in
                      pre-diagnosis blood samples from prospective cohorts to
                      maximize likelihood of identifying markers that can detect
                      disease before usual diagnosis and in earlier disease stage,
                      while reducing methodologic biases.Individual cohorts with
                      pre-diagnosis blood samples have insufficient sample size
                      for such studies. thus, we established 'PREDICT'
                      ('Prospective Early Detection Consortium for Ovarian
                      Cancer')-a collaboration of nine prospective studies-to
                      assemble a sufficient number of EOC cases with blood samples
                      collected ≤18 months before diagnosis plus controls. The
                      457 cases and 1,687 controls have circulating CA125 measured
                      using a clinical assay.The discrimination capacity for
                      single CA125 measurements in samples collected <6 months
                      prior to diagnosis was high (area under the curve (AUC),
                      PREDICT overall=0.92; range across cohorts of non-pregnant
                      individuals=0.89-0.98), and declined with extended time
                      between blood collection and diagnosis. Between-cohort
                      variability in CA125 levels and predictive performance was
                      observed.Ongoing investigations in PREDICT are evaluating
                      the early detection potential of tumor-associated
                      autoantibodies and microRNAs, using CA125 as a benchmark.
                      PREDICT is a well-characterized resource for identifying and
                      validating detection markers for EOC that may then be used
                      in multi-modal screening, as a complement to CA125 and
                      combined with imaging.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40227208},
      doi          = {10.1158/1078-0432.CCR-24-1845},
      url          = {https://inrepo02.dkfz.de/record/300364},
}