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000181492 1001_ $$00000-0002-8185-5929$$aGrenville, Zoe S$$b0
000181492 245__ $$aDiet and BMI Correlate with Metabolite Patterns Associated with Aggressive Prostate Cancer.
000181492 260__ $$aBasel$$bMDPI$$c2022
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000181492 520__ $$aThree 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.
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000181492 650_7 $$2Other$$across-sectional
000181492 650_7 $$2Other$$adiet
000181492 650_7 $$2Other$$ametabolites
000181492 650_7 $$2Other$$aprostate cancer
000181492 7001_ $$aNoor, Urwah$$b1
000181492 7001_ $$aHis, Mathilde$$b2
000181492 7001_ $$00000-0002-9799-4421$$aViallon, Vivian$$b3
000181492 7001_ $$aRinaldi, Sabina$$b4
000181492 7001_ $$00000-0002-0442-3284$$aAglago, Elom K$$b5
000181492 7001_ $$aAmiano, Pilar$$b6
000181492 7001_ $$aBrunkwall, Louise$$b7
000181492 7001_ $$aChirlaque, María Dolores$$b8
000181492 7001_ $$00000-0002-6500-6310$$aDrake, Isabel$$b9
000181492 7001_ $$aEichelmann, Fabian$$b10
000181492 7001_ $$00000-0001-8648-4998$$aFreisling, Heinz$$b11
000181492 7001_ $$aGrioni, Sara$$b12
000181492 7001_ $$00000-0001-6517-1300$$aHeath, Alicia K$$b13
000181492 7001_ $$0P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a$$aKaaks, Rudolf$$b14$$udkfz
000181492 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b15$$udkfz
000181492 7001_ $$00000-0001-9635-0416$$aMayén-Chacon, Ana-Lucia$$b16
000181492 7001_ $$00000-0002-2185-2179$$aMilani, Lorenzo$$b17
000181492 7001_ $$aMoreno-Iribas, Conchi$$b18
000181492 7001_ $$00000-0001-5438-970X$$aPala, Valeria$$b19
000181492 7001_ $$00000-0003-4788-503X$$aOlsen, Anja$$b20
000181492 7001_ $$00000-0003-4817-0757$$aSánchez, Maria-Jose$$b21
000181492 7001_ $$00000-0002-0830-5277$$aSchulze, Matthias B$$b22
000181492 7001_ $$aTjønneland, Anne$$b23
000181492 7001_ $$00000-0002-8452-8472$$aTsilidis, Konstantinos K$$b24
000181492 7001_ $$00000-0003-2237-0128$$aWeiderpass, Elisabete$$b25
000181492 7001_ $$aWinkvist, Anna$$b26
000181492 7001_ $$00000-0002-6236-6804$$aZamora-Ros, Raul$$b27
000181492 7001_ $$aKey, Timothy J$$b28
000181492 7001_ $$aSmith-Byrne, Karl$$b29
000181492 7001_ $$aTravis, Ruth C$$b30
000181492 7001_ $$00000-0002-7733-8750$$aSchmidt, Julie A$$b31
000181492 773__ $$0PERI:(DE-600)2518386-2$$a10.3390/nu14163306$$gVol. 14, no. 16, p. 3306 -$$n16$$p3306$$tNutrients$$v14$$x2072-6643$$y2022
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