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@ARTICLE{Geijsen:144343,
      author       = {A. J. M. R. Geijsen and S. Brezina and P. Keski-Rahkonen
                      and A. Baierl and T. Bachleitner-Hofmann and M. M. Bergmann
                      and J. Boehm and H. Brenner$^*$ and J. Chang-Claude$^*$ and
                      F. J. B. van Duijnhoven and B. Gigic and T. Gumpenberger and
                      P. Hofer and M. Hoffmeister$^*$ and A. N. Holowatyj and J.
                      Karner-Hanusch and D. E. Kok and G. Leeb and A. Ulvik and N.
                      Robinot and J. Ose and A. Stift and P. Schrotz-King$^*$ and
                      A. B. Ulrich and P. M. Ueland and E. Kampman and A. Scalbert
                      and N. Habermann$^*$ and A. Gsur and C. M. Ulrich},
      title        = {{P}lasma metabolites associated with colorectal cancer: {A}
                      discovery-replication strategy.},
      journal      = {International journal of cancer},
      volume       = {145},
      number       = {5},
      issn         = {0020-7136},
      address      = {Bognor Regis},
      publisher    = {Wiley-Liss},
      reportid     = {DKFZ-2019-01796},
      pages        = {1221 - 1231},
      year         = {2019},
      abstract     = {Colorectal cancer is known to arise from multiple
                      tumorigenic pathways; however, the underlying mechanisms
                      remain not completely understood. Metabolomics is becoming
                      an increasingly popular tool in assessing biological
                      processes. Previous metabolomics research focusing on
                      colorectal cancer is limited by sample size and did not
                      replicate findings in independent study populations to
                      verify robustness of reported findings. Here, we performed a
                      ultrahigh performance liquid chromatography-quadrupole
                      time-of-flight mass spectrometry (UHPLC-QTOF-MS) screening
                      on EDTA plasma from 268 colorectal cancer patients and 353
                      controls using independent discovery and replication sets
                      from two European cohorts (ColoCare Study: n = 180
                      patients/n = 153 controls; the Colorectal Cancer Study
                      of Austria (CORSA) n = 88 patients/n = 200
                      controls), aiming to identify circulating plasma metabolites
                      associated with colorectal cancer and to improve knowledge
                      regarding colorectal cancer etiology. Multiple logistic
                      regression models were used to test the association between
                      disease state and metabolic features. Statistically
                      significant associated features in the discovery set were
                      taken forward and tested in the replication set to assure
                      robustness of our findings. All models were adjusted for
                      sex, age, BMI and smoking status and corrected for multiple
                      testing using False Discovery Rate. Demographic and clinical
                      data were abstracted from questionnaires and medical
                      records.},
      cin          = {C120 / C070 / L101 / C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C120-20160331 / I:(DE-He78)C070-20160331 /
                      I:(DE-He78)L101-20160331 / I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30665271},
      pmc          = {pmc:PMC6614008},
      doi          = {10.1002/ijc.32146},
      url          = {https://inrepo02.dkfz.de/record/144343},
}