TY  - JOUR
AU  - Murphy, Neil
AU  - Achaintre, David
AU  - Zamora-Ros, Raul
AU  - Jenab, Mazda
AU  - Boutron-Ruault, Marie-Christine
AU  - Carbonnel, Franck
AU  - Savoye, Isabelle
AU  - Kaaks, Rudolf
AU  - Kühn, Tilman
AU  - Boeing, Heiner
AU  - Aleksandrova, Krasimira
AU  - Tjønneland, Anne
AU  - Kyrø, Cecilie
AU  - Overvad, Kim
AU  - Quirós, J Ramón
AU  - Sánchez, Maria-Jose
AU  - Altzibar, Jone M
AU  - María Huerta, José
AU  - Barricarte, Aurelio
AU  - Khaw, Kay-Tee
AU  - Bradbury, Kathryn E
AU  - Perez-Cornago, Aurora
AU  - Trichopoulou, Antonia
AU  - Karakatsani, Anna
AU  - Peppa, Eleni
AU  - Palli, Domenico
AU  - Grioni, Sara
AU  - Tumino, Rosario
AU  - Sacerdote, Carlotta
AU  - Panico, Salvatore
AU  - Bueno-de-Mesquita, H B As
AU  - Peeters, Petra H
AU  - Rutegård, Martin
AU  - Johansson, Ingegerd
AU  - Freisling, Heinz
AU  - Noh, Hwayoung
AU  - Cross, Amanda J
AU  - Vineis, Paolo
AU  - Tsilidis, Kostas
AU  - Gunter, Marc J
AU  - Scalbert, Augustin
TI  - A prospective evaluation of plasma polyphenol levels and colon cancer risk.
JO  - International journal of cancer
VL  - 143
IS  - 7
SN  - 0020-7136
CY  - Bognor Regis
PB  - Wiley-Liss
M1  - DKFZ-2018-01428
SP  - 1620 - 1631
PY  - 2018
AB  - Polyphenols have been shown to exert biological activity in experimental models of colon cancer; however, human data linking specific polyphenols to colon cancer is limited. We assessed the relationship between pre-diagnostic plasma polyphenols and colon cancer risk in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition study. Using high pressure liquid chromatography coupled to tandem mass spectrometry, we measured concentrations of 35 polyphenols in plasma from 809 incident colon cancer cases and 809 matched controls. We used multivariable adjusted conditional logistic regression models that included established colon cancer risk factors. The false discovery rate (qvalues ) was computed to control for multiple comparisons. All statistical tests were two-sided. After false discovery rate correction and in continuous log2 -transformed multivariable models, equol (odds ratio [OR] per log2 -value, 0.86, 95
LB  - PUB:(DE-HGF)16
C6  - pmid:29696648
DO  - DOI:10.1002/ijc.31563
UR  - https://inrepo02.dkfz.de/record/137000
ER  -