%0 Journal Article
%A Schmidt, Julie A
%A Fensom, Georgina K
%A Rinaldi, Sabina
%A Scalbert, Augustin
%A Appleby, Paul N
%A Achaintre, David
%A Gicquiau, Audrey
%A Gunter, Marc J
%A Ferrari, Pietro
%A Kaaks, Rudolf
%A Kühn, Tilman
%A Boeing, Heiner
%A Trichopoulou, Antonia
%A Karakatsani, Anna
%A Peppa, Eleni
%A Palli, Domenico
%A Sieri, Sabina
%A Tumino, Rosario
%A Bueno-de-Mesquita, Bas
%A Agudo, Antonio
%A Sánchez, Maria-Jose
%A Chirlaque, María-Dolores
%A Ardanaz, Eva
%A Larrañaga, Nerea
%A Perez-Cornago, Aurora
%A Assi, Nada
%A Riboli, Elio
%A Tsilidis, Konstantinos K
%A Key, Timothy J
%A Travis, Ruth C
%T Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case-control sets from EPIC.
%J International journal of cancer
%V 146
%N 3
%@ 1097-0215
%C Bognor Regis
%I Wiley-Liss
%M DKFZ-2019-01372
%P 720-730
%D 2020
%Z Int J Cancer. 2020 Feb 1;146(3):720-730
%X Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR1SD ) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR1SD  = 0.77, 95
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:30951192
%R 10.1002/ijc.32314
%U https://inrepo02.dkfz.de/record/143810