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

Abstract

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.

• Authors: Christina C Dahm, Anders Gorst-Rasmussen, Francesca L Crowe, Nina Roswall, Anne Tjønneland, Dagmar Drogan, Heiner Boeing, Birgit Teucher, Rudolf Kaaks, George Adarakis, Dimosthenes Zylis, Antonia Trichopoulou, Veronika Fedirko, Veronique Chajes, Mazda Jenab, Domenico Palli, Valeria Pala, Rosario Tumino, Fulvio Ricceri, Henk van Kranen, H Bas Bueno-de-Mesquita, Jose R Quirós, María-José Sánchez, Leila Luján-Barroso, Nerea Larrañaga, María-Dolores Chirlaque, Eva Ardanaz, Mattias Johansson, Pär Stattin, Kay-Tee Khaw, Nick Wareham, Petra A Wark, Teresa Norat, Elio Riboli, Tim J Key, Kim Overvad
• Journal: The American journal of clinical nutrition (Am J Clin Nutr) Vol. 96 Issue 6 Pg. 1354-61 (Dec 2012) ISSN: 1938-3207 [Electronic] United States
• PMID: 23134890 (Publication Type: Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't)

Chemical References

• Fatty Acids
• Fatty Acids, Omega-3
• Phospholipids

Topics

• Aged
• Algorithms
• Case-Control Studies
• Cohort Studies
• Europe (epidemiology)
• Fatty Acids (adverse effects, blood, metabolism)
• Fatty Acids, Omega-3 (adverse effects, blood, metabolism)
• Follow-Up Studies
• Humans
• Incidence
• Male
• Middle Aged
• Neoplasm Grading
• Phospholipids (blood, chemistry)
• Prospective Studies
• Prostatic Neoplasms (blood, epidemiology, etiology, pathology)
• Risk
• Statistics as Topic
• Surveys and Questionnaires