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@ARTICLE{Raut:289128,
      author       = {J. Raut$^*$ and M. Bhardwaj$^*$ and B. Schöttker$^*$ and
                      B. Holleczek and P. Schrotz-King$^*$ and H. Brenner$^*$},
      title        = {{C}ancer-specific risk prediction with a serum micro{RNA}
                      signature.},
      journal      = {Cancer science},
      volume       = {115},
      number       = {6},
      issn         = {1344-6428},
      address      = {Tokyo},
      publisher    = {Assoc.},
      reportid     = {DKFZ-2024-00595},
      pages        = {2049-2058},
      year         = {2024},
      note         = {#EA:C070#LA:C070#LA:C120# / 2024 Jun;115(6):2049-2058},
      abstract     = {We recently derived and validated a serum-based microRNA
                      risk score (miR-score) that predicted colorectal cancer
                      (CRC) occurrence with very high accuracy within 14 years of
                      follow-up in a population-based cohort study from Germany
                      (ESTHER cohort). Here, we aimed to evaluate associations of
                      the CRC-specific miR-score with the risk of developing other
                      common cancers, including female breast cancer (BC), lung
                      cancer (LC), and prostate cancer (PC), in the ESTHER cohort.
                      MicroRNAs (miRNAs) were profiled by quantitative real-time
                      PCR in serum samples collected at baseline from randomly
                      selected incident cases of BC (n = 90), LC (n = 88), and PC
                      (n = 93) and participants without diagnosis of CRC, LC, BC,
                      or PC (controls, n = 181) until the end of the 17-year
                      follow-up. Multivariate logistic regression models were used
                      to evaluate the associations of the miR-score with BC, LC,
                      and PC incidence. The miR-score showed strong inverse
                      associations with BC and LC incidence [odds ratio per 1
                      standard deviation increase: 0.60 $(95\%$ confidence
                      interval [CI] 0.43-0.82), p = 0.0017, and 0.64 $(95\%$ CI
                      0.48-0.84),p = 0.0015, respectively]. Associations with PC
                      were not statistically significant but pointed in the
                      positive direction. Our study highlights the potential of
                      serum-based miRNA biomarkers for cancer-specific risk
                      prediction. Further large cohort studies aiming to
                      investigate, validate, and optimize the use of circulating
                      miRNA signatures for cancer risk assessment are warranted.},
      keywords     = {breast cancer (Other) / circulating miRNA (Other) /
                      colorectal cancer (Other) / lung cancer (Other) / prostate
                      cancer (Other) / risk prediction (Other) / risk
                      stratification (Other)},
      cin          = {C070 / C120 / HD01},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)HD01-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38523358},
      doi          = {10.1111/cas.16135},
      url          = {https://inrepo02.dkfz.de/record/289128},
}