4.7 Article

Saturated fat intake predicts biochemical failure after prostatectomy

期刊

INTERNATIONAL JOURNAL OF CANCER
卷 122, 期 11, 页码 2581-2585

出版社

WILEY
DOI: 10.1002/ijc.23414

关键词

fat; diet; nutrition; prostate cancer; risk factor

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资金

  1. NCI NIH HHS [CA90270, CA84964] Funding Source: Medline
  2. PHS HHS [EHS07784] Funding Source: Medline
  3. NATIONAL CANCER INSTITUTE [R01CA084964, P50CA090270] Funding Source: NIH RePORTER

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Previous reports show that obesity predicts biochemical failure after treatment for localized prostate cancer. Since obesity is associated with increased fat consumption, we investigated the role that dietary fat intake plays in modulating obesity-related risk of biochemical failure. We evaluated the association between saturated fat intake and biochemical failure among 390 men from a previously described prostatectomy cohort. Participants completed a food frequency questionnaire collecting nutrient information for the year prior to diagnosis. Because fat and energy intake are highly correlated, the residual method was used to adjust fat (total and saturated) intakes for energy. Biochemical-failure-free-survival rates were calculated using the Kaplan-Meier method. Crude and adjusted effects were estimated using Cox proportional hazards models. During a mean follow-up of 70.6 months, 78 men experienced biochemical failure. Men who consumed high-saturated fat (HSF) diets were more likely to experience biochemical failure (p = 0.006) and had significantly shorter biochemical-fail ure-free-survival than men with low saturated fat (LSF) diets (26.6 vs. 44.7 months, respectively, p = 0.002). After adjusting for obesity and clinical variables, HSF-diet patients were almost twice as likely to experience biochemical failure (hazard ratio = 1.95, p = 0.008) compared to LSF diet patients. Men who were both obese and consumed HSF diets had the shortest biochemical-failure-free-survival (19 months), and nonobese men who consumed LSF diets had the longest biochemical-failure-free-survival (46 months, p < 0.001). Understanding the interplay between modifiable factors, such as diet and obesity, and disease characteristics may lead to the development of behavioral and/or targeted interventions for patients at increased risk of progression. (C) 2008 Wiley-Liss, Inc.

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