Inflammatory potential of the diet and risk of breast cancer in the European Investigation into Cancer and Nutrition (EPIC) study

Castro-Espin, Carlota; Agudo, Antonio; Bonet, Catalina; Katzke, Verena; Fortner, Renée T.; Aleksandrova, Krasimira; Schulze, Matthias B.; Tjønneland, Anne; Dahm, Christina C.; Quiŕos, J. Ramón; Sánchez, María José; Amiano, Pilar; Chirlaque, María Dolores; Ardanaz, Eva; Masala, Giovanna; Sieri, Sabina; Tumino, Rosario; Sacerdote, Carlotta; Panico, Salvatore; May, Anne M.; Bodén, Stina; Gram, Iger T; Skeie, Guri; Laouali, Nasser; Shah, Sanam; Severi, Gianluca; Aune, Dagfinn; Merritt, Melissa A.; Cairat, Manon; Weiderpass, Elisabete; Riboli, Elio; Dossus, Laure; Jakszyn, Paula

doi:10.1007/s10654-021-00772-2

Cited by 13 publications

(13 citation statements)

References 28 publications

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“…In addition, a high inflammatory diet score was positively associated with breast cancer risk in the 318,686 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. However, here, the association was strongest among premenopausal women compared to postmenopausal women 64 . Finally, DII was not associated with breast cancer risk in the prospective study of 122,788 postmenopausal women in the Women's Health Initiative 65 .…”

Section: Amn Identifies Inflammation Linking Lifestyle Factors To Bre...contrasting

confidence: 54%

Active molecular network discovery links lifestyle variables to breast cancer in the Long Island Breast Cancer Study Project

Dolios

et al. 2022

Preprint

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Background/Aim: Healthy lifestyle has been associated with decreased risk of developing breast cancer. Using untargeted metabolomics profiling, which provides unbiased information regarding lifestyle choices such as diet and exercise, we aim to identify the molecular mechanisms connecting lifestyle and breast cancer through network analysis. Methods: A total of 100 post-menopausal women, 50 with breast cancer and 50 cancer-free controls were selected from the Long Island Breast Cancer Study Project (LIBCSP). We measured untargeted plasma metabolomics using liquid chromatography-high resolution mass spectrometry (LC-HRMS). Using the ‘enet’ package, we retained highly correlated metabolites representing active molecular network (AMN) clusters for analysis. A typical machine learning workflow (LASSO) was used to examine associations between cancer status and AMN metabolites and covariates such as BMI, age, and reproductive factors. LASSO was then repeated to examine associations between AMN metabolites and 10 lifestyle related variables including smoking, physical activity, alcohol consumption, meat consumption, fruit and vegetables consumption, and supplemental vitamin use. Results were displayed as a network to uncover biological pathways linking lifestyle factors to breast cancer status. Results: After filtering, there were 1797 metabolomics peaks in the plasma samples. Of these, 851 “active” metabolites were retained in 197 correlation AMN clusters. Using LASSO, breast cancer status was associated with 71 “active” metabolites. Several of these metabolites were associated with lifestyle variables including meat consumption, alcohol consumption, and supplemental β-carotene, B12 and folate use. No individual lifestyle factors were significantly associated with breast cancer status using LASSO, suggesting that metabolites may act as biological intermediaries between healthy lifestyle factors and breast cancer. In particular, DiHODE, a metabolite linked with inflammation, was associated with breast cancer status and connected to β-carotene supplement usage through an AMN. Conclusions: We found several plasma metabolites associated with lifestyle factors and breast cancer status. Future studies investigating the mechanistic role of inflammation in linking supplement usage to breast cancer status are warranted.

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Section: Amn Identifies Inflammation Linking Lifestyle Factors To Bre...contrasting

confidence: 54%

Active molecular network discovery links lifestyle variables to breast cancer in the Long Island Breast Cancer Study Project

Dolios

et al. 2022

Preprint

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“…This finding is consistent with that of previous studies such as Wang et al (2016), who reported a significant association of obesity with breast cancer in premenopausal women. The study performed by Castro-Espin et al (2021) showed that premenopausal women consuming pro-inflammatory diets had higher risk of developing breast cancer. In this line, proper nutritional education and guidance by nursing professionals could help women to become aware of the advantages of a balanced diet.…”

Section: Discussionmentioning

confidence: 99%

Short Breastfeeding Duration is Associated With Premature Onset of Female Breast Cancer

et al. 2022

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Currently, there is controversy concerning potential factors that contribute to the development of breast cancer. Our study analyzed the possible association between weight status, cigarette consumption, lactation period, serum estrogen levels, family history of breast cancer, and age at breast cancer diagnosis. We conducted a retrospective study at a University Hospital in Granada (Spain) by consulting the medical records of 524 women aged 19 to 91 years, all of them diagnosed and treated for breast cancer from 2011 to 2019. Our findings indicated that in non-morbidly obese females who were also non-smokers, a maternal lactation period of more than 3 months ( p = .013) and the absence of family antecedents of cancer ( p = .025) were statistically significant factors that led to a more advanced age at breast cancer diagnosis. Thus, maternal lactation seems to have a potential protective effect on breast cancer.

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“…Model 4 adjusted for determinants considered potential mediators, namely, SBP, FPG, TC, and self-rated health. In addition, the non-linearity of the effect of the LCD score on mortality risk was estimated by adding a quadratic term to the model with the quartiles of LCD scores as a continuous variable, and the fitness of the models with and without the quadratic term was compared using the likelihood ratio (LR) test [ 21 ]. A non-significant p -value was interpreted as an indication of a linear effect of the LCD score on mortality risk.…”

Section: Methodsmentioning

confidence: 99%

“…As many statistical tests were performed in the subgroup analysis, we used the Bonferroni correction to account for multiple testings, and the significance level was set at p < 0.002 (0.05/8 [subgroups] × 3 [dietary scores]). To assess the extent to which baseline risk factors explained the associations of the LCD score with mortality, the percentage of excess risk mediated (PERM) was calculated as PERM = [HR (E + C) − HR (E + C + M)]/[HR (E + C) − 1] × 100, where E = exposure (types of LCD score), C = covariates (sex, age, education, family income, smoking, drinking, BMI, physical activity, and history of cancer and CVD), and M = explanatory variable being tested [ 21 ]. The following four groups of explanatory variables, (1) SBP; (2) FPG; (3) TC; (4) self-rated health, were included the PERM model.…”

Section: Methodsmentioning

confidence: 99%

Low-Carbohydrate Diets and Mortality in Older Asian People: A 15-Year Follow-Up from a Prospective Cohort Study

et al. 2022

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The long-term effects of a low-carbohydrate diet (LCD) on mortality, accounting for the quality and source of the carbohydrate, are unclear. Hence, we examined the associations of LCDs with all-cause and cause-specific mortality in a prospective cohort study. A total of 20,206 participants (13.8% diabetes) aged 50+ years were included. Overall, vegetable-based and meat-based LCD scores were calculated based on the percentage of energy as total and subtypes of carbohydrates, fat, and protein. Cox regression analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). During 294,848 person-years of follow-up, 4624 deaths occurred, including 3661 and 963 deaths in participants without and with diabetes, respectively. In all participants, overall LCD score was not associated with all-cause and cause-specific mortality, after multivariable adjustment. However, for the highest versus the lowest quartiles of vegetable-based LCD, the adjusted HRs (95%CIs) of all-cause and CVD mortality were 1.16 (1.05–1.27) and 1.39 (1.19–1.62), respectively. The corresponding values for highest versus lowest quartiles of meat-based LCD for all-cause and CVD mortality were 0.89 (0.81–0.97) and 0.81 (0.70–0.93), respectively. Similar associations were found in participants without diabetes. In patients with diabetes, the adjusted HR (95%CI) of CVD mortality for the highest versus the lowest quartiles of vegetable-based LCD was 1.54 (1.11–2.14). Although there were no significant associations with overall LCD score, we found that the vegetable-based LCD score was positively, whereas the meat-based LCD score was negatively, associated with all-cause and CVD mortality in older Asian people.

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Inflammatory potential of the diet and risk of breast cancer in the European Investigation into Cancer and Nutrition (EPIC) study

Cited by 13 publications

References 28 publications

Active molecular network discovery links lifestyle variables to breast cancer in the Long Island Breast Cancer Study Project

Active molecular network discovery links lifestyle variables to breast cancer in the Long Island Breast Cancer Study Project

Short Breastfeeding Duration is Associated With Premature Onset of Female Breast Cancer

Low-Carbohydrate Diets and Mortality in Older Asian People: A 15-Year Follow-Up from a Prospective Cohort Study

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