Fatty acid patterns and risk of prostate cancer in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition

被引：34

作者：

Dahm, Christina C. ^{[1
,2
]}

Gorst-Rasmussen, Anders ^{[1
]}

Crowe, Francesca L. ^{[3
]}

Roswall, Nina ^{[4
]}

Tjonneland, Anne ^{[4
]}

Drogan, Dagmar ^{[5
]}

Boeing, Heiner ^{[5
]}

Teucher, Birgit ^{[6
]}

Kaaks, Rudolf ^{[6
]}

Adarakis, George ^{[7
]}

Zylis, Dimosthenes ^{[7
]}

Trichopoulou, Antonia ^{[7
,8
]}

Fedirko, Veronika ^{[9
]}

Chajes, Veronique ^{[9
]}

Jenab, Mazda ^{[23
]}

Palli, Domenico ^{[10
]}

Pala, Valeria ^{[11
]}

Tumino, Rosario ^{[12
]}

Ricceri, Fulvio ^{[13
]}

van Kranen, Henk ^{[14
]}

Bueno-de-Mesquita, H. Bas ^{[14
,15
]}

Quiros, Jose R. ^{[16
]}

Sanchez, Maria-Jose ^{[9
,17
,22
]}

Lujan-Barroso, Leila ^{[18
]}

Larranaga, Nerea ^{[19
,22
]}

Chirlaque, Maria-Dolores ^{[20
,22
]}

Ardanaz, Eva ^{[21
,22
]}

Johansson, Mattias

Stattin, Par ^{[23
]}

Khaw, Kay-Tee ^{[24
]}

Wareham, Nick ^{[25
]}

Wark, Petra A. ^{[26
]}

Norat, Teresa ^{[26
]}

Riboli, Elio ^{[26
]}

Key, Tim J. ^{[3
]}

Overvad, Kim ^{[2
]}

机构：

[1] Aarhus Univ Hosp, Dept Cardiol, Cardiovasc Res Ctr, DK-9000 Aalborg, Denmark

[2] Aarhus Univ, Dept Publ Hlth, Aarhus, Denmark

[3] Univ Oxford, Nuffield Dept Clin Med, Canc Epidemiol Unit, Oxford OX1 2JD, England

[4] Danish Canc Soc, Inst Canc Epidemiol, Copenhagen, Denmark

[5] German Inst Human Nutr Potsdam Rehbrucke, Dept Epidemiol, Rehbruecke, Germany

[6] German Canc Res Ctr, Dept Canc Epidemiol, D-6900 Heidelberg, Germany

[7] Hellen Hlth Fdn, Athens, Greece

[8] Univ Athens, Sch Med, WHO Collaborating Ctr Food & Nutr Policies, Dept Hyg Epidemiol & Med Stat, GR-11527 Athens, Greece

[9] Int Agcy Res Canc, Nutr & Metab Sect, F-69372 Lyon, France

[10] Canc Res & Prevent Inst, Mol & Nutr Epidemiol Unit, Florence, Italy

[11] Fdn IRCCS Ist Nazl Tumori, Dept Prevent & Predict Med, Epidemiol & Prevent Unit, Milan, Italy

[12] Civile MP Arezzo Hosp, Canc Registry & Histopathol Unit, ASP Ragusa 7, I-97100 Ragusa, Italy

[13] Human Genet Fdn, Turin, Italy

[14] Natl Inst Publ Hlth & Environm, Ctr Nutr & Hlth, NL-3720 BA Bilthoven, Netherlands

[15] Univ Med Ctr, Dept Gastroenterol & Hepatol, Utrecht, Netherlands

[16] Consejeria Sanidad, Direcc Gen Salud Publ, JS Informac Sanitaria, Oviedo, Spain

[17] Andalusian Sch Publ Hlth, Granada, Spain

[18] Catalan Inst Oncol, Canc Epidemiol Res Programme, Unit Nutr Environm & Canc, Barcelona, Spain

[19] Basque Govt, Publ Hlth Dept Gipuzkoa, Lakua, Spain

[20] Murcia Reg Hlth Author, Dept Epidemiol, Murcia, Spain

[21] Navarre Publ Hlth Inst, Pamplona, Spain

[22] Consortium Biomed Res Epidemiol & Publ Hlth, Granada 18080, Spain

[23] Umea Univ, Dept Surg & Perioperat Sci Urol & Androl, Umea, Sweden

[24] Univ Cambridge, Cambridge, England

[25] MRC Epidemiol Unit, Cambridge, England

[26] Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Epidemiol & Biostat, London SW7 2AZ, England

来源：

AMERICAN JOURNAL OF CLINICAL NUTRITION | 2012年 / 96卷 / 06期

基金：

英国医学研究理事会;

关键词：

SERUM PHOSPHOLIPIDS; FISH CONSUMPTION; DIETARY PATTERNS; ADIPOSE-TISSUE; BREAST-CANCER; VIETNAM-WAR; POPULATION; BIOMARKER; BLOOD; MORTALITY;

D O I：

10.3945/ajcn.112.034157

中图分类号：

R15 [营养卫生、食品卫生]; TS201 [基础科学];

学科分类号：

100403 ;

摘要：

Background: Fatty acids in blood may be related to the risk of prostate cancer, but epidemiologic evidence is inconsistent. Blood fatty acids are correlated through shared food sources and common endogenous desaturation and elongation pathways. Studies of individual fatty acids cannot take this into account, but pattern analysis can. Treelet transform (TT) is a novel method that uses data correlation structures to derive sparse factors that explain variation. Objective: The objective was to gain further insight in the association between plasma fatty acids and risk of prostate cancer by applying TT to take data correlations into account. Design: We reanalyzed previously published data from a case-control study of prostate cancer nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. TT was used to derive factors explaining the variation in 26 plasma phospholipid fatty acids of 962 incident prostate cancer cases matched to 1061 controls. Multiple imputation was used to deal with missing data in covariates. ORs of prostate cancer according to factor scores were determined by using multivariable conditional logistic regression. Results: Four simple factors explained 38% of the variation in plasma fatty acids. A high score on a factor reflecting a long-chain n-3 PUFA pattern was associated with greater risk of prostate cancer (OR for highest compared with lowest quintile: 1.36; 95% CI: 0.99, 1.86; P-trend = 0.041). Conclusion: Pattern analyses using TT groupings of correlated fatty acids indicate that intake or metabolism of long-chain n-3 PUFAs may be relevant to prostate cancer etiology. Am J Clin Nutr 2012;96:1354-61.

引用

页码：1354 / 1361

页数：8

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