% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Grenville:181492,
      author       = {Z. S. Grenville and U. Noor and M. His and V. Viallon and
                      S. Rinaldi and E. K. Aglago and P. Amiano and L. Brunkwall
                      and M. D. Chirlaque and I. Drake and F. Eichelmann and H.
                      Freisling and S. Grioni and A. K. Heath and R. Kaaks$^*$ and
                      V. Katzke$^*$ and A.-L. Mayén-Chacon and L. Milani and C.
                      Moreno-Iribas and V. Pala and A. Olsen and M.-J. Sánchez
                      and M. B. Schulze and A. Tjønneland and K. K. Tsilidis and
                      E. Weiderpass and A. Winkvist and R. Zamora-Ros and T. J.
                      Key and K. Smith-Byrne and R. C. Travis and J. A. Schmidt},
      title        = {{D}iet and {BMI} {C}orrelate with {M}etabolite {P}atterns
                      {A}ssociated with {A}ggressive {P}rostate {C}ancer.},
      journal      = {Nutrients},
      volume       = {14},
      number       = {16},
      issn         = {2072-6643},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DKFZ-2022-02027},
      pages        = {3306},
      year         = {2022},
      abstract     = {Three metabolite patterns have previously shown prospective
                      inverse associations with the risk of aggressive prostate
                      cancer within the European Prospective Investigation into
                      Cancer and Nutrition (EPIC). Here, we investigated dietary
                      and lifestyle correlates of these three prostate
                      cancer-related metabolite patterns, which included: 64
                      phosphatidylcholines and three hydroxysphingomyelins
                      (Pattern 1), acylcarnitines C18:1 and C18:2, glutamate,
                      ornithine, and taurine (Pattern 2), and 8
                      lysophosphatidylcholines (Pattern 3). In a two-stage
                      cross-sectional discovery (n = 2524) and validation (n =
                      518) design containing 3042 men free of cancer in EPIC, we
                      estimated the associations of 24 dietary and lifestyle
                      variables with each pattern and the contributing individual
                      metabolites. Associations statistically significant after
                      both correction for multiple testing (False Discovery Rate =
                      0.05) in the discovery set and at p < 0.05 in the validation
                      set were considered robust. Intakes of alcohol, total fish
                      products, and its subsets total fish and lean fish were
                      positively associated with Pattern 1. Body mass index (BMI)
                      was positively associated with Pattern 2, which appeared to
                      be driven by a strong positive BMI-glutamate association.
                      Finally, both BMI and fatty fish were inversely associated
                      with Pattern 3. In conclusion, these results indicate
                      associations of fish and its subtypes, alcohol, and BMI with
                      metabolite patterns that are inversely associated with risk
                      of aggressive prostate cancer.},
      keywords     = {cross-sectional (Other) / diet (Other) / metabolites
                      (Other) / prostate cancer (Other)},
      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:36014812},
      doi          = {10.3390/nu14163306},
      url          = {https://inrepo02.dkfz.de/record/181492},
}