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@ARTICLE{Schmidt:143810,
author = {J. A. Schmidt and G. K. Fensom and S. Rinaldi and A.
Scalbert and P. N. Appleby and D. Achaintre and A. Gicquiau
and M. J. Gunter and P. Ferrari and R. Kaaks$^*$ and T.
Kühn$^*$ and H. Boeing$^*$ and A. Trichopoulou and A.
Karakatsani and E. Peppa and D. Palli and S. Sieri and R.
Tumino and B. Bueno-de-Mesquita and A. Agudo and M.-J.
Sánchez and M.-D. Chirlaque and E. Ardanaz and N.
Larrañaga and A. Perez-Cornago and N. Assi and E. Riboli
and K. K. Tsilidis and T. J. Key and R. C. Travis},
title = {{P}atterns in metabolite profile are associated with risk
of more aggressive prostate cancer: {A} prospective study of
3,057 matched case-control sets from {EPIC}.},
journal = {International journal of cancer},
volume = {146},
number = {3},
issn = {1097-0215},
address = {Bognor Regis},
publisher = {Wiley-Liss},
reportid = {DKFZ-2019-01372},
pages = {720-730},
year = {2020},
note = {Int J Cancer. 2020 Feb 1;146(3):720-730},
abstract = {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, $95\%$ confidence interval 0.66-0.89),
acylcarnitines C18:1 and C18:2, glutamate, ornithine and
taurine (OR1SD = 0.72, 0.57-0.90), or
lysophosphatidylcholines (OR1SD = 0.81, 0.69-0.95) had
lower risk of advanced stage prostate cancer at diagnosis,
with no evidence of heterogeneity by follow-up time. Similar
associations were observed for the two former patterns with
aggressive disease risk (the more aggressive subset of
advanced stage), while the latter pattern was inversely
related to risk of prostate cancer death (OR1SD = 0.77,
0.61-0.96). No associations were observed for prostate
cancer overall or less aggressive tumor subtypes. In
conclusion, metabolite patterns may be related to lower risk
of more aggressive prostate tumors and prostate cancer
death, and might be relevant to etiology of advanced stage
prostate cancer.},
cin = {C020},
ddc = {610},
cid = {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:30951192},
doi = {10.1002/ijc.32314},
url = {https://inrepo02.dkfz.de/record/143810},
}