| 1. |
- Emaus, Marleen J., et al.
(författare)
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Vegetable and fruit consumption and the risk of hormone receptor-defined breast cancer in the EPIC cohort
- 2016
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Ingår i: American Journal of Clinical Nutrition. - : Elsevier BV. - 0002-9165 .- 1938-3207. ; 103:1, s. 168-177
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Tidskriftsartikel (refereegranskat)abstract
- Background: The recent literature indicates that a high vegetable intake and not a high fruit intake could be associated with decreased steroid hormone receptor–negative breast cancer risk.Objective: This study aimed to investigate the association between vegetable and fruit intake and steroid hormone receptor–defined breast cancer risk.Design: A total of 335,054 female participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort were included in this study (mean ± SD age: 50.8 ± 9.8 y). Vegetable and fruit intake was measured by country-specific questionnaires filled out at recruitment between 1992 and 2000 with the use of standardized procedures. Cox proportional hazards models were stratified by age at recruitment and study center and were adjusted for breast cancer risk factors.Results: After a median follow-up of 11.5 y (IQR: 10.1–12.3 y), 10,197 incident invasive breast cancers were diagnosed [3479 estrogen and progesterone receptor positive (ER+PR+); 1021 ER and PR negative (ER−PR−)]. Compared with the lowest quintile, the highest quintile of vegetable intake was associated with a lower risk of overall breast cancer (HRquintile 5–quintile 1: 0.87; 95% CI: 0.80, 0.94). Although the inverse association was most apparent for ER−PR− breast cancer (ER−PR−: HRquintile 5–quintile 1: 0.74; 95% CI: 0.57, 0.96; P-trend = 0.03; ER+PR+: HRquintile 5–quintile 1: 0.91; 95% CI: 0.79, 1.05; P-trend = 0.14), the test for heterogeneity by hormone receptor status was not significant (P-heterogeneity = 0.09). Fruit intake was not significantly associated with total and hormone receptor–defined breast cancer risk.Conclusion: This study supports evidence that a high vegetable intake is associated with lower (mainly hormone receptor–negative) breast cancer risk.
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| 2. |
- Ferrari, Pietro, et al.
(författare)
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Challenges in estimating the validity of dietary acrylamide measurements
- 2013
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Ingår i: European Journal of Nutrition. - : Springer Science and Business Media LLC. - 1436-6215 .- 1436-6207. ; 52:5, s. 1503-1512
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Tidskriftsartikel (refereegranskat)abstract
- Acrylamide is a chemical compound present in tobacco smoke and food, classified as a probable human carcinogen and a known human neurotoxin. Acrylamide is formed in foods, typically carbohydrate-rich and protein-poor plant foods, during high-temperature cooking or other thermal processing. The objectives of this study were to compare dietary estimates of acrylamide from questionnaires (DQ) and 24-h recalls (R) with levels of acrylamide adduct (AA) in haemoglobin. In the European Prospective Investigation into Cancer and Nutrition (EPIC) study, acrylamide exposure was assessed in 510 participants from 9 European countries, randomly selected and stratified by age, sex, with equal numbers of never and current smokers. After adjusting for country, alcohol intake, smoking status, number of cigarettes and energy intake, correlation coefficients between various acrylamide measurements were computed, both at the individual and at the aggregate (centre) level. Individual level correlation coefficient between DQ and R measurements (r (DQ,R)) was 0.17, while r (DQ,AA) and r (R,AA) were 0.08 and 0.06, respectively. In never smokers, r (DQ,R), r (DQ,AA) and r (R,AA) were 0.19, 0.09 and 0.02, respectively. The correlation coefficients between means of DQ, R and AA measurements at the centre level were larger (r > 0.4). These findings suggest that estimates of total acrylamide intake based on self-reported diet correlate weakly with biomarker AA Hb levels. Possible explanations are the lack of AA levels to capture dietary acrylamide due to individual differences in the absorption and metabolism of acrylamide, and/or measurement errors in acrylamide from self-reported dietary assessments, thus limiting the possibility to validate acrylamide DQ measurements.
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| 3. |
- Ferrari, Pietro, et al.
(författare)
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Dietary fiber intake and risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition study
- 2013
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Ingår i: American Journal of Clinical Nutrition. - : Elsevier BV. - 0002-9165 .- 1938-3207. ; 97:2, s. 344-353
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Tidskriftsartikel (refereegranskat)abstract
- Background: Limited scientific evidence has characterized the association between dietary fiber intake and risk of breast cancer (BC) by menopausal status and hormone receptor expression in tumors. ' Objective: We investigated the relation between total dietary fiber and its main food sources (vegetables, fruit, cereals, and legumes) and BC risk by using data from the European Prospective Investigation into Cancer and Nutrition (EPIC). Design: A total of 11,576 invasive BC cases in 334,849 EPIC women mostly aged 35-70 y at baseline were identified over a median follow-up of 11.5 y. Dietary fiber was estimated from country-specific dietary questionnaires. Multivariable Cox proportional hazards regression models were used to quantify the association between dietary variables and BC risk with energy adjustment by using the residual method. Subgroup analyses were performed by menopausal status and estrogen receptor (ER) and progesterone receptor (PR) expression in tumors. Results: BC risk was inversely associated with intakes of total dietary fiber [hazard ratio comparing fifth quintile to first quintile (HRQ5-Q1): 0.95; 95% CI: 0.89, 1.01; P-trend = 0.03] and fiber from vegetables (0.90; 0.84, 0.96; P-trend < 0.01) but not with fiber from fruit, cereals, or legumes. Overall, associations were homogeneous by menopausal status and ER and PR expression in tumors. For vegetable fiber, stronger associations were observed for estrogen receptor-negative and progesterone receptor-negative (HRQ5-Q1: 0.74; 95% CI: 0.59, 0.93; P-trend = 0.01) than for estrogen receptor-positive and progesterone receptor-positive tumors (0.92: 0.81, 1.03; P-trend = 0.05), with P-heterogeneity = 0.09. Conclusion: Diets rich in dietary fiber and, particularly, fiber from vegetables may be associated with a small reduction in risk of BC, independently of menopausal status.
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| 4. |
- Freisling, Heinz, et al.
(författare)
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Dietary acrylamide intake of adults in the European Prospective Investigation into Cancer and Nutrition differs greatly according to geographical region
- 2013
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Ingår i: European Journal of Nutrition. - : Springer. - 1436-6207 .- 1436-6215. ; 52:4, s. 1369-1380
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Tidskriftsartikel (refereegranskat)abstract
- Methodological differences in assessing dietary acrylamide (AA) often hamper comparisons of intake across populations. Our aim was to describe the mean dietary AA intake in 27 centers of 10 European countries according to selected lifestyle characteristics and its contributing food sources in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. In this cross-sectional analysis, 36 994 men and women, aged 35-74 years completed a single, standardized 24-hour dietary recall using EPIC-Soft. Food consumption data were matched to a harmonized AA database. Intake was computed by gender and center, and across categories of habitual alcohol consumption, smoking status, physical activity, education, and body mass index (BMI). Adjustment was made for participants' age, height, weight, and energy intake using linear regression models. Adjusted mean AA intake across centers ranged from 13 to 47 mu g/day in men and from 12 to 39 mu g/day in women; intakes were higher in northern European centers. In most centers, intake in women was significantly higher among alcohol drinkers compared with abstainers. There were no associations between AA intake and physical activity, BMI, or education. At least 50 % of AA intake across centers came from two food groups "bread, crisp bread, rusks" and "coffee." The third main contributing food group was "potatoes". Dietary AA intake differs greatly among European adults residing in different geographical regions. This observed heterogeneity in AA intake deserves consideration in the design and interpretation of population-based studies of dietary AA intake and health outcomes.
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| 5. |
- Perrier, Flavie, et al.
(författare)
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Identifying and correcting epigenetics measurements for systematic sources of variation
- 2018
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Ingår i: Clinical Epigenetics. - London : BioMed Central. - 1868-7083 .- 1868-7075. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- Background: Methylation measures quantified by microarray techniques can be affected by systematic variation due to the technical processing of samples, which may compromise the accuracy of the measurement process and contribute to bias the estimate of the association under investigation. The quantification of the contribution of the systematic source of variation is challenging in datasets characterized by hundreds of thousands of features.In this study, we introduce a method previously developed for the analysis of metabolomics data to evaluate the performance of existing normalizing techniques to correct for unwanted variation. Illumina Infinium HumanMethylation450K was used to acquire methylation levels in over 421,000 CpG sites for 902 study participants of a case-control study on breast cancer nested within the EPIC cohort. The principal component partial R-square (PC-PR2) analysis was used to identify and quantify the variability attributable to potential systematic sources of variation. Three correcting techniques, namely ComBat, surrogate variables analysis (SVA) and a linear regression model to compute residuals were applied. The impact of each correcting method on the association between smoking status and DNA methylation levels was evaluated, and results were compared with findings from a large meta-analysis.Results: A sizeable proportion of systematic variability due to variables expressing 'batch' and 'sample position' within 'chip' was identified, with values of the partial R-2 statistics equal to 9.5 and 11.4% of total variation, respectively. After application of ComBat or the residuals' methods, the contribution was 1.3 and 0.2%, respectively. The SVA technique resulted in a reduced variability due to 'batch' (1.3%) and 'sample position' (0.6%), and in a diminished variability attributable to 'chip' within a batch (0.9%). After ComBat or the residuals' corrections, a larger number of significant sites (k = 600 and k = 427, respectively) were associated to smoking status than the SVA correction (k = 96).Conclusions: The three correction methods removed systematic variation in DNA methylation data, as assessed by the PC-PR2, which lent itself as a useful tool to explore variability in large dimension data. SVA produced more conservative findings than ComBat in the association between smoking and DNA methylation.
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