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Short Communication |
1 Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 2 School of Public Health and Community Medicine, 3 Environmental Health, University of Washington; and 4 Swedish Medical Center Tumor Institute, Seattle, Washington
Requests for reprints: Irena B. King, Public Health Sciences Laboratories, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Suite M-5A864, Seattle WA 98109-1024. E-mail: iking{at}fhcrc.org
| Abstract |
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11t 18:1 trans-vaccenic and
9c,12t 18:2 fatty acids reached statistical significance. Odds ratios (95% confidence interval) contrasting low versus high quartiles for these fatty acids were 1.69 (1.03-2.77) and 1.79 (1.02-3.15), respectively. There were no consistent differences in associations between low-grade and high-grade cancer among the subset of 209 cases with information on tumor grade. Additional studies are needed to confirm these findings and better control for factors, such as use of prostate-specific antigen screening, which may confound this association. | Introduction |
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| Materials and Methods |
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For this nested case-control study, participants were selected at two time points using slightly different matching criteria. Eligible cases were men with an available blood sample drawn at least 3 years before the first diagnosis of cancer at any site except nonmelanoma skin cancer. Eligible controls were men who were alive with no report of any cancer other than nonmelanoma skin cancer with an available blood sample drawn at least 3 years before the most recent follow-up, as of December 1995 for the first sample and September 1999 for the second sample. The first sample consisted of 115 cases and 115 controls, matched on exposure population (asbestos exposed or heavy smoker), period of enrollment (pilot or full-scale trial), center at enrollment, age group (5-year intervals), smoking status at baseline (never, former, or current), and year of enrollment (within the same 2-year time interval). The blood draw selected for the control was matched by calendar time (within 1 year) to the blood draw selected for the case. The second sample consisted of 161 cases and 318 controls (1:2 for most cases), matched for the variables listed above with the exception of excluding smoking status and including ethnicity. Data were also available on several potential confounding variables, including race/ethnicity, smoking history, body mass index (BMI), alcohol use, and education. BMI was calculated from weight and height measurements taken at the visit matching or closest to the blood draw. Four participants (three controls and one case) were deleted because of poor serum sample condition leading to unreliable laboratory results; six (four controls and two cases) were excluded due to missing BMI; and one case observation was excluded because it was included as a control in the first sample. The final sample consisted of 272 case and 426 control men.
End Point Determination
When a cancer end point was reported, the medical records and pathology reports were obtained from the diagnosing hospital/physician. For prostate cancer, pathology reports from needle biopsy or radical prostatectomy were reviewed. End point materials were reviewed by three physician adjudicators, and a case determination required consensus on the site of primary tumor, histology, and date of diagnosis. A single physician (G.E.G.) abstracted n = 209 Gleason score based on review of surgical, pathologic, and clinical records.
Measurements of Trans-Fatty Acids
A 250-µL aliquot of serum sample from each case and control was used for analyses, which were done blinded to case/control status. Specimens were run in batches with two quality control serum pool samples and three commercial standards in each extraction batch. Total lipids were extracted from the serum by the Folch method (14) and the phospholipid fraction was separated by TLC. The fatty acids in the phospholipid fraction were directly transesterified to produce fatty acid methyl esters, which were injected onto a gas chromatograph. Trans-fatty acid levels were expressed as weight percentages of total fatty acids. To measure the long-term system stability of serum samples, we monitored NIH D, NIH F, and GC-87 commercial standards (NuCheck-Prep, Inc., Elysian, MN) with 5% precision and 7% bias over 5 consecutive years of analysis. The coefficients of variation in the quality control pool samples for the trans-fatty acids of interest were:
7t 16:1, 20% and 21%;
9t 16:1, 22% and 22%;
6-8t 18:1, 4% and 10%;
9t 18:1(n-9t), 3% and
21%;
10t 18:1, 3% and 14%;
11t 18:1, 4% and 9%;
12t 18:1, 2% and 7%; and
9t,12t 18:2, 13% and 28%;
9c,12t 18:2, 26% and 22%;
9t,12c 18:2, 10% and 12%, for the first and second samples, respectively. The large coefficients of variation in trans-fatty acids reflect their very low level in our quality control pool.
Statistical Methods
Logistic regression was used to estimate the relative odds of prostate cancer risk with increasing levels of fatty acids. Fatty acids were categorized into quartiles, based on their distributions in controls. To test for linear trend across categories, an ordinal score variable, ranging from 1 to 4, was generated based on quartile of exposure, and this variable was tested using the likelihood ratio test.
All models were controlled for matching variables, BMI (normal <25.0, overweight 25.0-29.9, and obese
30), alcohol use (none, <1 drink/d, 1-2 drinks/d, and
3 drinks/d), ethnicity (white or non-white), baseline smoking status, age at blood draw, and an indicator for sample selection. We tested for differences in results between the two study samples using an interactive term in logistic regression models. There were only modest differences in results between models with and without control for covariates, and only adjusted models are given. Control for education, pack-years of smoking, and CARET treatment arm did not affect the odds ratios (OR), and these variables are not included in final models. Gleason scores were available on 209 cases and were categorized as low grade (<7) and high grade (7-10) for stratified analyses. Polychotomous logistic regression was used to model risks of high- and low-grade Gleason scores, using the same covariates listed above. All of the statistical tests were two sided, and statistical significance was inferred when P < 0.05. Statistical analyses were carried out using SAS 8.2 (SAS Institute, Inc., Cary, NC).
| Results |
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9c,12t 18:2 and
9t,12c 18:2 reached statistical significance.
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11t 18:1 trans-vaccenic fatty acid and
9c,12t 18:2, and there were statistically significant ORs of 1.69 and 1.79, respectively, contrasting their highest versus lowest quartiles.
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11t 18:1 trans-vaccenic fatty acid and 2.80 (1.22-6.41) and 1.50 (0.63-3.56) for
9c,12t 18:2. There were no substantial or statistically significant differences in associations of fatty acids with prostate cancer risk between the two study samples (data not shown). | Discussion |
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There are few published studies of trans-fatty acids and prostate cancer risk. Bakker et al. (15) reported a nonsignificant 0.5 (95% confidence interval, 0.15 to 0.85) correlation between total adipose C18:1 trans-fatty acids and prostate cancer incidence across 11 countries in Europe. Neither Hodge et al. (16) nor Schuurman et al. (17) found associations of dietary trans-fatty acids, as measured by food frequency questionnaire, with prostate cancer risk. Although there are several published studies reporting associations of trans-fatty acids with risks of breast and colon cancers (2, 3, 18, 19), research on trans-fatty acids and prostate cancer risk is too limited to draw conclusions.
There is a growing body of evidence supporting the role of chronic inflammation with prostate carcinogenesis (20, 21), and thus the associations of trans-fatty acids with increased inflammatory response may explain their associations with prostate cancer risk. Trans-fatty acids interfere with the
-6 desaturase enzyme in metabolism of essential fatty acids, which inhibits the anti-inflammatory activity of n-3 fatty acids (22). This effect of trans-fatty acids is seen in human observational and experimental studies. Recent cross-sectional studies reported positive associations between dietary (23) and plasma fatty acids and serologic measures of systemic inflammation, and a controlled feeding study found that trans-fatty acids increased C-reactive protein concentrations (24). Additional studies are needed to examine whether trans-fatty acids affect inflammation in prostate tissue.
Dietary intake of trans-fatty acids is through processed oils and products made with these oils. The amount of trans fats in oils depends on their source and processing, which can vary substantially both across products and across countries due to food regulations (25, 26). Most monounsaturated C18 trans fats come from the hydrogenation of oils. Diunsaturated trans-fatty acids are formed during the deodorization process of vegetable oils, which affects most oils produced in the United States, in particular canola and soybean oils. Monounsaturated trans-vaccenic fatty acid comes from both bacterial and industrial hydrogenation and is found in milk fat, ruminant flesh, and hydrogenated oils. There are several limitations to this study. All CARET participants were at very high lung cancer risk due to heavy smoking or occupational asbestos exposure. Results in this high-risk cohort may not be generalizable. We had information on the grade of prostate cancer for only a subset of participants. Recent studies find that risk factors for prostate cancer differ between local and regional/distant disease (27, 28), which suggests that some factors affect cancer progression but not initiation. We also had no information on use of prostate-specific antigen screening, which strongly affects risk of being diagnosed with prostate cancer and can significantly distort findings from observational epidemiologic studies (29). Levels of trans-fatty acids in phospholipids are very low, and thus measurement error due to random variability could lead to misclassification. However, this would lead to a reduction in the observed OR. Lastly, because intake of trans-fatty acids in the United States is a marker of consuming commercially fried and processed foods, other factors associated with eating these foods could be the causal agent.
In summary, this preliminary investigation from a large cohort found associations of trans-fatty acids with increased prostate cancer risk. Additional studies are needed to confirm these findings and better control for factors that may confound this association.
| Acknowledgments |
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| Footnotes |
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Received 7/13/04; revised 11/ 8/04; accepted 12/ 6/04.
| References |
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