Jesús Vioque

Lower Breast Cancer Risk among Women following the World Cancer Research Fund and American Institute for Cancer Research Lifestyle Recommendations: EpiGEICAM Case-Control Study.

Background According to the “World Cancer Research Fund” and the “American Institute of Cancer Research” (WCRF/AICR) one in four cancer cases could be prevented through a healthy diet, weight control and physical activity. Objective To explore the association between the WCRF/AICR recommendations and risk of breast cancer. Methods During the period 2006 to 2011 we recruited 973 incident cases of breast cancer and 973 controls from 17 Spanish Regions. We constructed a score based on 9 of the WCRF/AICR recommendations for cancer prevention:: 1)Maintain adequate body weight; 2)Be physically active; 3)Limit the intake of high density foods; 4)Eat mostly plant foods; 5)Limit the intake of animal foods; 6)Limit alcohol intake; 7)Limit salt and salt preserved food intake; 8)Meet nutritional needs through diet; S1)Breastfeed infants exclusively up to 6 months. We explored its association with BC by menopausal status and by intrinsic tumor subtypes (ER+/PR+ & HER2-; HER2+; ER&PR-&HER2-) using conditional and multinomial logistic models respectively. Results Our results point to a linear association between the degree of noncompliance and breast cancer risk. Taking women who met 6 or more recommendations as reference, those meeting less than 3 showed a three-fold excess risk (OR=2.98(CI95%:1.59-5.59)), especially for postmenopausal women (OR=3.60(CI95%:1.24;10.47)) and ER+/PR+&HER2- (OR=3.60(CI95%:1.84;7.05)) and HER2+ (OR=4.23(CI95%:1.66;10.78)) tumors. Noncompliance of recommendations regarding the consumption of foods and drinks that promote weight gain in premenopausal women (OR=2.24(CI95%:1.18;4.28); p for interaction=0.014) and triple negative tumors (OR=2.93(CI95%:1.12-7.63)); the intake of plant foods in postmenopausal women (OR=2.35(CI95%:1.24;4.44)) and triple negative tumors (OR=3.48(CI95%:1.46-8.31)); and the alcohol consumption in ER+/PR+&HER2- tumors (OR=1.52 (CI95%:1.06-2.19)) showed the strongest associations. Conclusion Breast cancer prevention might be possible by following the “World Cancer Research Fund” and the “American Institute of Cancer Research” recommendations, even in settings like Spain, where a high percentage of women already comply with many of them.

Calorie intake, olive oil consumption and mammographic density among Spanish women

High mammographic density (MD) is one of the main risk factors for development of breast cancer. To date, however, relatively few studies have evaluated the association between MD and diet. In this cross‐sectional study, we assessed the association between MD (measured using Boyds semiquantitative scale with five categories: <10%, 10–25%, 25–50%, 50–75% and >75%) and diet (measured using a food frequency questionnaire validated in a Spanish population) among 3,548 peri‐ and postmenopausal women drawn from seven breast cancer screening programs in Spain. Multivariate ordinal logistic regression models, adjusted for age, body mass index (BMI), energy intake and protein consumption as well as other confounders, showed an association between greater calorie intake and greater MD [odds ratio (OR) = 1.23; 95% confidence interval (CI) = 1.10‐1.38, for every increase of 500 cal/day], yet high consumption of olive oil was nevertheless found to reduce the prevalence of high MD (OR = 0.86;95% CI = 0.76‐0.96, for every increase of 22 g/day in olive oil consumption); and, while greater intake of whole milk was likewise associated with higher MD (OR = 1.10; 95%CI 1.00‐1.20, for every increase of 200 g/day), higher consumption of protein (OR = 0.89; 95% CI 0.80‐1.00, for every increase of 30 g/day) and white meat (p for trend 0.041) was found to be inversely associated with MD. Our study, the largest to date to assess the association between diet and MD, suggests that MD is associated with modifiable dietary factors, such as calorie intake and olive oil consumption. These foods could thus modulate the prevalence of high MD, and important risk marker for breast cancer.

Reproducibility of data-driven dietary patterns in two groups of adult Spanish women from different studies.

The objective of the present study was to assess the reproducibility of data-driven dietary patterns in different samples extracted from similar populations. Dietary patterns were extracted by applying principal component analyses to the dietary information collected from a sample of 3550 women recruited from seven screening centres belonging to the Spanish breast cancer (BC) screening network (Determinants of Mammographic Density in Spain (DDM-Spain) study). The resulting patterns were compared with three dietary patterns obtained from a previous Spanish case-control study on female BC (Epidemiological study of the Spanish group for breast cancer research (GEICAM: grupo Español de investigación en cáncer de mama)) using the dietary intake data of 973 healthy participants. The level of agreement between patterns was determined using both the congruence coefficient (CC) between the pattern loadings (considering patterns with a CC≥0·85 as fairly similar) and the linear correlation between patterns scores (considering as fairly similar those patterns with a statistically significant correlation). The conclusions reached with both methods were compared. This is the first study exploring the reproducibility of data-driven patterns from two studies and the first using the CC to determine pattern similarity. We were able to reproduce the EpiGEICAM Western pattern in the DDM-Spain sample (CC=0·90). However, the reproducibility of the Prudent (CC=0·76) and Mediterranean (CC=0·77) patterns was not as good. The linear correlation between pattern scores was statistically significant in all cases, highlighting its arbitrariness for determining pattern similarity. We conclude that the reproducibility of widely prevalent dietary patterns is better than the reproducibility of more population-specific patterns. More methodological studies are needed to establish an objective measurement and threshold to determine pattern similarity.

Association between the Adherence to the International Guidelines for Cancer Prevention and Mammographic Density

Introduction Mammographic density (MD) is considered a strong predictor of Breast Cancer (BC). The objective of the present study is to explore the association between MD and the compliance with the World Cancer Research Fund and the American Institute for Cancer Research (WCRF/AICR) recommendations for cancer prevention. Methods Data of 3584 women attending screening from a population-based multicenter cross-sectional study (DDM-Spain) collected from October 7, 2007 through July 14, 2008, was used to calculate a score that measures the level of compliance with the WCRF/AICR recommendations: R1)Maintain adequate body weight; R2)Be physically active; 3R)Limit the intake of high density foods; R4)Eat mostly plant foods; R5)Limit the intake of animal foods; R6)Limit alcohol intake; R7)Limit salt and salt preserved food intake; R8)Meet nutritional needs through diet. The association between the score and MD (assessed by a single radiologist using a semi-quantitative scale) was evaluated using ordinal logistic models with random center-specific intercepts adjusted for the main determinants of MD. Stratified analyses by menopausal status and smoking status were also carried out. Results A higher compliance with the WCRF/AICR recommendations was associated with lower MD (OR1-unit increase = 0.93 95%CI:0.86;0.99). The association was stronger in postmenopausal women (OR = 0.91 95%CI:0.84;0.99) and nonsmokers (OR = 0.87;95%CI:0.80;0.96 for nonsmokers, OR = 1.01 95%CI:0.91;1.12 for smokers, P-interaction = 0.042). Among nonsmokers, maintaining adequate body weight (OR = 0.81 95%CI:0.65;1.01), practicing physical activity (OR = 0.68 95%CI:0.48;0.96) and moderating the intake of high-density foods (OR = 0.58 95%CI:0.40;0.86) and alcoholic beverages (OR = 0.76 95%CI:0.55;1.05) were the recommendations showing the strongest associations with MD. Conclusions postmenopausal women and non-smokers with greater compliance with the WCRF/AICR guidelines have lower MD. These results may provide guidance to design specific recommendations for screening attendants with high MD and therefore at higher risk of developing BC.

Efecto del alcohol y sus metabolitos en el cáncer de pulmón: estudio CAPUA

BACKGROUND AND OBJECTIVEnAlcohol and its metabolites play an important role in carcinogenesis. This effect could be modulated by polymorphisms in genes encoding enzymes involved in the metabolism of alcohol and folate. Therefore, we analyzed the effect of alcohol consumption and ADH1B Arg48His, ADH1B Arg370Cys, ADH1C Ile349Val, ALDH2 Glu540Lys, CYP2E1 RsaI, CYP2E1 DraI, CYP2E1 TaqI and MTHFR C677T polymorphisms on the risk of developing lung cancer.nnnPATIENTS AND METHODSnWe included 876 lung cancer cases and 840 controls of the CAPUA hospital-based case-control study. Genotyping was performed using the Sequenom MassArray (iPLEX GOLD) technology.nnnRESULTSnAn alcohol consumption of 0.1-9.9g/day decreased lung cancer risk (ORadjusted=0.71; 95% CI 0.48-1.05), although statistical significance was not achieved. A consumption≥30g/day of alcohol and≥36PY of tobacco increases lung cancer risk (ORadjusted=26.68; 95% CI 12.69-56.10). On the other hand, a high consumption of vegetables (≥116.65g/day) and fruits (≥233.13g/day) decreases lung cancer risk with an alcohol consumption of 0.1-9.9g/day (ORadjusted=0.52; 95% CI 0.30-0.89; ORadjusted=0.58; 95% CI 0.33-1.03, respectively). An alcohol consumption of 10-29.9g/day in ADH1B 48His allele-carriers increases lung cancer risk (ORadjusted=3.32; 95% CI 1.03-10.70).nnnCONCLUSIONSnAlcohol and polymorphisms in genes involved in the metabolism of alcohol and folate are related to the onset of lung cancer.

Cross-sectional associations of objectively-measured sleep characteristics with obesity and type 2 diabetes in the PREDIMED-Plus trial

Study ObjectivesnTo examine independent and combined associations of sleep duration and sleep variability with body composition, obesity and type 2 diabetes (T2D) in elders at high cardiovascular risk.nnnMethodsnCross-sectional analysis of 1986 community-dwelling elders with overweight/obesity and metabolic syndrome from PREDIMED-Plus trial. Associations of accelerometry-derived sleep duration and sleep variability with body mass index (BMI), waist circumference (WC) and body composition were assessed fitting multivariable-adjusted linear regression models. Prevalence ratios (PR) and 95% confidence intervals (CI) for obesity and T2D were obtained using multivariable-adjusted Cox regression with constant time. Bad sleepers (age-specific non-recommended sleep duration plus sleep variability above the median) and good sleepers (age-specific recommended sleep duration plus sleep variability below the median) were characterized by combining sleep duration and sleep variability, and their associations with these outcomes were examined.nnnResultsnOne hour/night increment in sleep duration was inversely associated with BMI (β -0.38 kg/m2 [95% CI -0.54, -0.23]), WC (β -0.86 cm [95% CI -1.25, -0.47]), obesity (PR 0.96 [95% CI 0.93, 0.98]), T2D (PR 0.93 [95% CI 0.88, 0.98]) and other DXA-derived adiposity-related measurements (android fat and trunk fat, all p < .05). Each 1-hour increment in sleep variability was positively associated with T2D (PR 1.14 [95% CI 1.01, 1.28]). Compared with good sleepers, bad sleepers were positively associated with obesity (PR 1.12 [95% CI 1.01, 1.24]) and T2D (PR 1.62 [95% CI 1.28, 2.06]).nnnConclusionsnThis study revealed cross-sectional associations of sleep duration with adiposity parameters and obesity. Sleep duration and sleep variability were associated with T2D. Considering simultaneously sleep duration and sleep variability could have additional value, particularly for T2D, as they may act synergistically.