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Breast cancer prevention in premenopausal women: role of the Mediterranean diet and its components

Published online by Cambridge University Press:  01 October 2019

Daniela Laudisio
Affiliation:
Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131Naples, Italy
Luigi Barrea*
Affiliation:
Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131Naples, Italy
Giovanna Muscogiuri
Affiliation:
Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131Naples, Italy
Giuseppe Annunziata
Affiliation:
Department of Pharmacy, University of Naples ‘Federico II’, Italy; Via Domenico Montesano, 49, 80131Naples, Italy
Annamaria Colao
Affiliation:
Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131Naples, Italy
Silvia Savastano
Affiliation:
Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131Naples, Italy
*
*Corresponding author: Dr Luigi Barrea, fax +39 081 746 3668, email [email protected]
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Abstract

Breast cancer (BC) is a growing public health concern in most developed and developing countries. Since an increasing number of patients with BC are diagnosed before the menopause and premenopausal women show a more aggressive phenotype, there is consistent interest in promoting prevention strategies in order to reduce the incidence of BC in the premenopause. The Mediterranean diet (MD) has been reported to have beneficial effect in terms of cancer prevention. This healthy dietary pattern consists primarily of foods having important antioxidant properties along with a favourable fatty acid profile, all associated with a reduced risk of cancer. Due to the large variability in study subject characteristics, the protective role of the MD on BC still remains controversial and studies that have investigated the association between adherence to the MD and risk of BC in premenopausal women are fewer than those in postmenopausal women. In addition, the possibility that the beneficial effects of the MD are due to a single component or might more probably derive from the synergic effects of all components of the MD remains a scantly explored field. Considering the increased risk of recurrence and mortality rate of BC in premenopausal women as compared with postmenopausal women, the aim of the present report is to provide a general overview of the current evidence on the relationship between BC and the MD specifically in premenopausal women, and to emphasise the potential role of the MD as an effective measure to reduce the risk of developing BC in premenopausal women.

Type
Review Article
Copyright
© The Authors 2019

Introduction

Breast cancer (BC) is a growing public health problem. Despite the current efforts in preventing BC, its incidence is increasing in most developed and developing countries(Reference Eccles, Aboagye and Ali1Reference Colditz and Bohlke4). Approximately 1·4 million new cases of BC are diagnosed worldwide each year, with a mortality rate of about 450 000 per year(Reference DeSantis, Siegel and Bandi5). The risk factors for BC include age, genetic mutations (BRCA1 and BRCA2)(Reference Metcalfe, Lubinski and Lynch6), younger age at menarche, nulliparity, first pregnancy after the age of 30 years, older age at menopause, dense breast tissue(7), hormone replacement therapy, use of oral contraceptives(Reference Gierisch, Coeytaux and Urrutia8) and personal and family history of BC or other breast diseases(Reference Ritte, Tikk and Lukanova9). In this complex scenario, it is of fundamental importance to evaluate accurately the role of modifiable risk factors, such as nutrition. Although BC is generally considered an age-dependent disease, nearly 7 % of BC is diagnosed in premenopausal women under 40 years of age(Reference Anders, Johnson and Litton10), while another 3 and 0·65 % concern women less than 35 years and less than 30 years of age, respectively(Reference Ferlay, Shin and Bray11Reference Johnson, Chien and Bleyer14). Although with some discrepancies, BC in premenopausal women is generally more aggressive than in postmenopausal women, showing higher histological grading, increased proliferation rate, higher rates of vascular invasion(Reference Azim and Partridge15), and a higher proportion of triple-negative BC(Reference Ritte, Tikk and Lukanova9). Consistently, the presence of an extensive intraductal component as adjunctive risk factor for BC recurrence in premenopausal women has been associated with an increased risk of recurrence and mortality rate compared with postmenopausal women(Reference Collins, Marotti and Gelber16,Reference Voogd, Nielsen and Peterse17) . Furthermore, hormone treatment seems to be significantly less efficacious in premenopausal women and the presence in BC of endocrine receptors, including oestrogen receptors (ERα, ERβ) and progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2) and proliferation markers are significantly different in women ≤ 45 years compared with those ≥ 65 years of age(Reference Anders, Hsu and Broadwater18). The incidence of BC among premenopausal women is increasing(19) and represents a significant issue in developing countries because more than 20 % of BC cases and more than 20 % of deaths occur in women aged 45 years, in contrast to developed countries where these figures correspond to less than 12 % and 10 %, respectively(19,Reference Knaul, Bustreo and Ha20) . This increase in BC among premenopausal women is not exclusively attributable to an increase in life expectancy, but rather to several environmental risk factors and unhealthy lifestyles, such as unbalanced diets, lack of exercise and use of alcohol and tobacco(Reference Costa and Saldanha21). The World Cancer Research Fund (WCRF) in 2018 reported that choosing healthier lifestyles could prevent 4 million cases of cancer around the world(22,23) , 30 % of which by simply adopting healthy dietary habits(Reference Heller, Keoleian and Willett24). Notwithstanding the benefits of single nutrients, the dietary pattern as a whole may allow us to better capture the complex inter-relationships between dietary components and represents a more adequate approach toward understanding the relationship between diet and cancer(Reference Jacobs, Gross and Tapsell25). Despite cancer prevention through dietary and lifestyle choices having been identified as a future cancer research priority(Reference Jaffee, Dang and Agus26), evidence on a specific healthy dietary pattern, such as the Mediterranean diet (MD), is limited and weak(23). In particular, no consistent pattern of association between the MD and BC in both pre- and postmenopausal women emerged in the WCRF report. However, the vast majority of the studies included in this report were conducted in non-Mediterranean settings, where a high variability in the compliance with the MD is very likely, and were not specifically conducted in premenopausal women. Thus, the relationship of the MD with BC in premenopausal women still remains an open issue. The aims of the present report are to provide a general overview of the updated evidence on the association of BC and adherence to the MD specifically in premenopausal women, and to emphasise the potential role of the MD and its principal components as an effective measure in the prevention of BC in premenopausal women.

The Mediterranean diet

Although limited by a large variability in study subject characteristics, type and length of interventions, selected end-points and statistical analysis, several epidemiological and clinical studies strongly support the association between nutritional factors and the development or progression of cancer, including BC(Reference Schwingshackl and Hoffmann27Reference Schwingshackl and Hoffmann30). As is it well known, the MD has long been considered as the utmost example of a healthy, well-balanced diet. The term ‘Mediterranean diet’ was originally coined by Ancel Keys, but its definitions may vary across different settings and it is actually difficult to describe in detail a Mediterranean dietary pattern and its components. Indeed, there are many different ‘Mediterranean diets’, based on cultural, ethnical, religious and economical differences existing among the various populations and countries situated along the Mediterranean basin(Reference Simopoulos31). However, different MD models do generally share some important characteristics; specifically, they all have an abundant plant-based food content, such as fruits and vegetables, whole grains, legumes and nuts, including olive oil as the main source of monounsaturated fats; they are all characterised by a limited intake of red and processed meat, saturated fat and refined sugars, low-to-moderate intake of low-fat dairy products and moderate consumption of fish, while a regular, but moderate, alcohol (mostly red wine) consumption with meals is emphasised(Reference Willett, Sacks and Trichopoulou32,Reference da Silva, Bach-Faig and Raido Quintana33) . The main components of a MD, such as fruits and vegetables, fibres, olive oil, fish and red wine, are rich sources of several bioactive compounds, including antioxidants (i.e. carotenoids, flavonoids, resveratrol and other polyphenolic compounds)(Reference Buckland, Travier and Cottet34,Reference Kant35) and n-3 PUFA. In summary, a Mediterranean dietary pattern tends towards a moderate content in total fats (32–35 % of total energy), a relatively low content in saturated fat (9–10 % of total energy), a relatively high quantity of fibres (27–37 g/d) and n-3 PUFA(Reference Trichopoulou, Martinez-Gonzalez and Tong36). This type of diet has been widely studied and several studies have reported a protective effect against various chronic diseases and cancers, including BC(Reference Milner37) and the MD may well be identified as a promising approach for preventing BC(Reference Trichopoulou, Bamia and Lagiou38). Besides the potential role exerted by the anti-inflammatory properties of food antioxidants on overall incidence of cancer, more specifically BC(Reference Griffiths, Aggarwal and Singh39), Carruba et al. (Reference Carruba, Cocciadiferro and Di Cristina40) illustrated that a traditional MD in healthy postmenopausal women may reduce the risk of developing BC also because of its effects on the metabolism of endogenous oestrogens. Adherence to the MD has been extensively evaluated by different standardised indexes(Reference Hernandez-Ruiz, Garcia-Villanova and Guerra Hernandez41Reference Martinez-Gonzalez, Garcia-Arellano and Toledo43). However, there is no objective method to measure MD adherence, nor are there commonly accepted criteria to evaluate the indexes(Reference Bamia, Martimianaki and Kritikou44). To date, one of the most frequently used is the MD score proposed by Trichopoulou et al. (Reference Trichopoulou, Kouris-Blazos and Wahlqvist45,Reference Trichopoulou, Costacou and Bamia46) . This index is based on nine dietary components and the method consists of assigning a value of 0 or 1 to each component, depending or food groups and on food servings per meal, day, and week, with a median as cut-off point. In particular, for components typical of the MD (i.e. fruits and nuts, vegetables, legumes, cereals, fish and seafood, high monounsaturated:saturated dietary lipid ratio, mainly olive oil, and regular but moderate intake of ethanol, red wine) is attributed a value of 1 for an intake greater or equal to the sex-specific median, while a value of 0 is attributed in case of intake lower than the median. Conversely, for components that are not typical of the MD (namely red meats), a value of 1 or 0 is given for a consumption less or more than the sex-specific median, respectively. Thus, the total MD score ranges from 0 (minimal adherence to the traditional MD) to 9 (maximal adherence)(Reference Trichopoulou, Costacou and Bamia46).

Data sources and searches

A literature search was performed using the electronic databases PubMed (August 2018) and Scopus (August 2018). The search strategy for PubMed was: (‘Mediterranean diet’ or ‘Mediterranean’ or ‘diet’ or ‘dietary pattern’ or ‘dietary adherence’) and (‘breast cancer’) and (‘prospective’ or ‘follow-up’ or ‘cohort’ or ‘longitudinal’) and (‘premenopausal women’). The search strategy had language restrictions; only the documents in English have been taken into consideration. Moreover, reference lists from reviews, meta-analyses and the retrieved articles were searched to identify further relevant studies. The literature search was conducted by one author (D. L.), with questions or uncertainties resolved by discussion with another author (S. S.). Cohort studies and case–control studies investigating the association between the MD and risk of BC incidence in the premenopausal female population were selected.

Breast cancer in premenopausal women and the Mediterranean diet: cohort studies and case–control studies

Studies that have investigated the association between adherence to the MD and risk of BC in premenopausal women are fewer than those in postmenopausal women(23). It should also be considered that, although postmenopausal women are at a higher risk for BC development than younger women, BC during pre-menopause seems to be more aggressive than in postmenopause. Some of the epidemiological evidence available suggested that a MD could reduce the risk of BC(Reference Buckland, Travier and Cottet34,Reference Trichopoulou, Bamia and Lagiou38) . As mentioned above, an inconsistent pattern of association between the MD and BC in both pre- and postmenopausal women emerged in the more recent WCRF report(23). Of interest, considering the strict relationship between the MD, BMI and glucose metabolism on one side(Reference Schroder, Marrugat and Vila47Reference White, Nichols and Bradshaw49), and BMI and BC on the other side(Reference Laudisio, Muscogiuri and Barrea50), the association between the MD and BC remained significant also after adjusting or stratifying data for common confounding variables, including BMI and body fatness. However, the association between the MD and BC is more evident for postmenopausal women than in premenopausal women. In fact, for premenopausal women the results are still conflicting(23). Nevertheless, other studies that considered specific cancer subgroups defined by hormone receptor status(Reference Buckland, Travier and Cottet34,Reference van den Brandt and Schulpen51Reference Butler, Wu and Wang53) or menopausal status did not confirm such observation(Reference Couto, Sandin and Lof54Reference Cade, Taylor and Burley56). Trichopoulou et al. (Reference Trichopoulou, Bamia and Lagiou38) evaluated in a cohort study the relationship between conformity and adherence to an MD and BC risk within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort in Greece(Reference Trichopoulou, Bamia and Lagiou38). The sample population used for this analysis consisted of 14 807 women, of which 240 with incident BC, with a follow-up period of approximately 9 years. Increasing conformity to the MD was not associated with a lower BC risk in the entire cohort (hazard ratio (HR) 0·88 for every 2 points; 95 % CI 0·75, 1·03) or in premenopausal women (HR 1·01 for every 2 points; 95 % CI 0·80, 1·28), but there was a marginally significant inverse association among postmenopausal women (HR 0·78 for every 2 points; 95 % CI 0·62, 0·98; P for interaction by menopausal status = 0·05). However, in this study menopausal status was ascertained at enrolment and not at the time of diagnosis of cancer, which is likely to have introduced some sort of misclassification(Reference Trichopoulou, Bamia and Lagiou38). In a cohort study, Cade et al. (Reference Cade, Taylor and Burley56) evaluated the risk of developing BC associated with consumption of two common dietary patterns: a Mediterranean dietary pattern and a dietary pattern conforming to the WHO Healthy Diet Index; the study population included 828 incident cases of BC in 33 731 women, with a mean follow-up of 9 years(Reference Cade, Taylor and Burley56). The compliance to the diet was assessed at baseline using a 219-item self-administered FFQ. This study evidenced that in premenopausal, but not postmenopausal, women, there was a not significant inverse association with an increasing adherence to the MD pattern, but the maximal adherence to the MD was associated with a HR of 0·65 (95 % CI 0·42, 1·02; P trend = 0·09) compared with minimal adherence. Although based on a large sample size, the results of this study were limited by the fact that lifestyle questionnaires were self-filled by the participants in the study(Reference Cade, Taylor and Burley56). In another cohort study, Couto et al. (Reference Couto, Sandin and Lof54) investigated the association between the MD and BC risk in pre- and post-menopausal women, aged 30–49 years, within a span of 16 years(Reference Couto, Sandin and Lof54). Adherence to the MD pattern was not associated with an overall decrease in BC risk or with specific BC characteristics in both pre- and postmenopausal women. However, women that reported a higher adherence to the MD also presented higher risk factors for BC (family history of BC, use of oral contraceptives or postmenopausal hormone therapy, higher alcohol consumption), which might have probably counteracted the beneficial effect of the MD(Reference Couto, Sandin and Lof54). In another prospective cohort study, Buckland et al. (Reference Buckland, Travier and Cottet34) evaluated the association between adherence to the MD and risk of BC among 335 062 women recruited from 1992 to 2000 in ten European countries, and followed for 11 years on average(Reference Buckland, Travier and Cottet34). Adherence to the MD was assessed using a semi‐quantitative FFQ administered through a personal interview. The results showed that a higher adherence to the MD was associated with a lower risk of BC in postmenopausal women only, mainly in ER/PR tumours, while this association was not consistent in premenopausal women. However, the results of this study should be interpreted with caution as a similar weight was given to each component and the foods, with the assumption that they have equivalent effects on BC risk. Similarly, a meta-analysis of only cohort studies by van den Brandt & Schulpen(Reference van den Brandt and Schulpen51) focusing on postmenopausal BC did not show a significant inverse association between overall postmenopausal BC and high adherence to the MD, although the HR estimate of 0·94 was marginally significant. A very recent meta-analysis on primary prevention of overall cancer risk including eighty-three studies indicated an inverse association of adherence to the MD with cancer mortality and risk of BC among postmenopausal women, but not among premenopausal women (pooled relative risk (RR) 1·3)(Reference Schwingshackl, Schwedhelm and Galbete57).

In a case–control study, Castello et al. (Reference Castello, Pollan and Buijsse58) evaluated the association between dietary patterns and risk of BC in Spanish women, stratifying the sample by menopausal status and tumour subtype. The authors recruited 1017 incident BC cases and 1017 matched healthy controls without a history of BC(Reference Castello, Pollan and Buijsse58). Cases and controls completed a structured questionnaire collecting information on demographic and anthropometric measurements, personal and family history, past physical activity and diet and menopausal status. In this study three food models were considered: the Western pattern, characterised by high intakes of fatty and sugary products and red and processed meat; the prudent pattern, characterised by high intakes of low-fat dairy products, vegetables, fruits, whole grains and juices; Mediterranean dietary patterns. Adherence to the Western dietary pattern was associated with a higher risk of BC (OR for the top v. the bottom quartile 1·46; 95 % CI 1·06, 2·01; P = 0·02), especially in premenopausal women (OR 1·75; 95 % CI 1·14, 2·67; P = 0·01). Conversely, the Mediterranean pattern was associated with a lower risk of BC (OR 4th v. 1st quartile 0·56; 95 % CI 0·40, 0·79; P < 0·01). Although the detrimental effect of the Western pattern was equally observed in all tumour subtypes, the protective effect of the Mediterranean pattern was stronger for triple-negative BC (OR 0·32; 95 % CI 0·15, 0·66; P = 0·04). Finally, no association was found between adherence to the prudent pattern and the BC risk(Reference Castello, Pollan and Buijsse58). Subsequently a multicase–control study by Castello et al. (Reference Castello, Boldo and Perez-Gomez59) confirmed these data. The objective of this study was to externally validate the effect of the three food models on BC risk, as reported in a previous study (EpiGEICAM study)(Reference Castello, Boldo and Perez-Gomez59). A high adherence to the Western diet resulted in an increased BC risk in both postmenopausal women (OR 4th v.1st quartile 1·48; 95 % CI 1·07, 2·05; OR1SD-increase 1·14; 95 % CI 1·01, 1·29) and premenopausal women (OR 4th v. 1st quartile 1·68; 95 % CI 1·02, 2·79; OR1SD-increase 1·19; 95 % CI 1·02, 1·40), while a greater adherence to the Mediterranean pattern seemed to afford protection only in postmenopausal women, although this protective effect did not reach statistical significance(Reference Castello, Boldo and Perez-Gomez59). Another case–control study by Murtaugh et al. (Reference Murtaugh, Sweeney and Giuliano60) evaluating the associations of dietary patterns (Western, prudent, Native Mexican, Mediterranean, and dieter) with risk for BC confirmed a significant protective role of the MD on incidence of BC in both Hispanic and non-Hispanic women. These cases had a histologically confirmed diagnosis for either in situ or invasive BC. Controls were healthy women frequency-matched for ethnicity, BMI and menopausal status. Food intake was reported by using a computerised, interviewer-administered dietary history questionnaire(Reference Murtaugh, Sweeney and Giuliano60). The Western and prudent dietary patterns were associated with greater risk of BC (OR 4th v. 1st quartile 1·32; 95 % CI 1·04, 168; P < 0·01; OR 4th v. 1st quartile 1·42; 95 % CI 1·14, 1·77; P < 0·01), and the Native Mexican and MD patterns were associated with lower risk of BC (OR 4th v. 1st quartile 0·68; 95 % CI 0·55, 0·85; P < 0·01; OR 4th v. 1st quartile 0·76; 95 % CI 0·63, 0·92; P < 0·01)(Reference Murtaugh, Sweeney and Giuliano60). In a very recent study, Turati et al. (Reference Turati, Carioli and Bravi61) investigated the association between adherence to the MD and BC risk in a case–control study conducted in Italy and Switzerland. This analysis included 3034 BC cases and 3392 controls. Information on dietary habits before diagnosis (for cases) or hospital admission (for controls) was based on a validated and reproducible FFQ, and conformity to the traditional MD was assessed through MD score. The Mediterranean dietary pattern was associated with a reduced risk of BC. In particular, women with the highest level of adherence to the MD reported an approximately 20 % decrease in risk compared with women with the lowest adherence. As far as the MD score is concerned, a score of 0–3 was associated with OR for BC of 0·86 (95 % CI 0·76, 0·98), 0·82 for a MD score of 4–5 (95 % CI 0·71, 0·95) and 0·95 for a MD score of 6–9 (95 CI % 0·92, 0·99) with a significant downward trend of BC risk (P = 0·008). The exclusion of the alcohol component from the MD score did not materially modify the OR (OR 0·81; 95 % CI 0·70, 0·95, for MD score ≥ 6). Of interest, pre- and postmenopausal women reported almost the same results(Reference Turati, Carioli and Bravi61). Although encouraging, the global examination of these results on the protective effect of the MD on BC still remains controversial, as reported in Table 1, and did not shed light upon the possibility that the beneficial effects are due to a single component or to the synergic effects of all components of the MD.

Table 1. Characteristics of cohort studies and case–control studies, of breast cancer (BC) incidence and adherence to the Mediterranean diet (MD), in premenopausal and postmenopausal women

Breast cancer in premenopausalwomen and the Mediterranean diet: components

Fruit and vegetables

There is limited/suggestive evidence that intake of fruit and vegetables is inversely associated with BC risk in ER BC(Reference Freudenheim, Marshall and Vena62,Reference Boggs, Palmer and Wise63) . Fruit and vegetable intake could represent a protective factor on BC due to high concentrations of bioactive components, such as carotenoids and polyphenols, substances with antioxidant and anti-inflammatory properties(Reference Turati, Rossi and Pelucchi64,Reference Kang and Grodstein65) .

Carotenoids

Carotenoids are a family of pigmented compounds present in fruits and vegetables, which may protect against DNA damage by neutralising reactive oxygen species (ROS)(Reference Elliott66) and activating the antioxidant response element transcription system(Reference Ben-Dor, Steiner and Gheber67). In fact, carotenoids act as scavengers of ROS and peroxyl radicals(Reference Stahl and Sies68). Carotenoids can neutralise radicals by different mechanisms: electron transfer, hydrogen abstraction and hydrogen addition. Due to the presence of conjugated double bonds, carotenoids can accept electrons from ROS, thus neutralising free radicals(Reference Rutz, Borges and Zambiazi69). In addition to their antioxidant action, carotenoids also have anti-proliferative and pro-apoptotic actions; in an in vitro study, Gloria et al. (Reference Gloria, Soares and Brand70) incubated human breast adenocarcinoma cell lines (MCF-7, MDA-MB-231 and MDA-MB-235) with lycopene and β-carotene (0·5–10 μm) for 48 and 96 h. After 96 h of treatment, lycopene significantly changed the cell viability in all cell lines. Lycopene treatment inhibited cell viability of MCF-7 and MDA-MB-235 cells by 30 and 20 %, respectively, while MDA-MB-231 cells were inhibited up to 75 %, showing the best response after 48 h, with a reduction of 30 %. After 48 h of treatment, β-carotene caused significant changes in cell viability of the three cell lines. The reduction was in the order of 40 % in the MCF-7 cell line, 30 % in MDA-MB-235 cells and 70 % in MDA-MB-231 cells. Furthermore, this study showed that lycopene increased the percentage of cells in the G0/G1 phase in the MCF-7 and MDA-MB-235 lines and also decreased the percentage of cells in the G2/M phase, thus highlighting the role of carotenoids as potential anti-tumour agents because of their ability to arrest cell proliferation and to induce apoptosis(Reference Karas, Amir and Fishman71,Reference Prakash, Russell and Krinsky72) .

Polyphenols

Polyphenols present in fruit and vegetables have a wide range of biological functions(Reference Abdal Dayem, Choi and Yang73). Antioxidant activity is one of the key mechanisms that contributes to their protective effect against oxidative damage. Polyphenols are able to scavenge a broad spectrum of highly reactive species, such as ROS, oxidative N species, chlorine species, peroxynitrous acid (ONOOH) and hypochlorous acid (HClO); they also block the chain reactions of lipid peroxidation (chain breakers)(Reference Abdal Dayem, Choi and Yang73). Furthermore, polyphenols are involved in the reduction of the Fenton reaction, by chelation of Fe, thus protecting cells from oxidation from reactive hydroxyl radicals(Reference Perron and Brumaghim74). Moreover, the anti-cancer action of polyphenols might also be due to their anti-inflammatory activity, as they block the up-regulation of NF-κB, inhibit the phosphorylation and/or proteasomal degradation of IκB, inhibit the liberation of NF-κB dimers from the cytoplasm into the nucleus, and its interaction with target DNA sequences(Reference Mackenzie and Oteiza75,Reference Mackenzie, Carrasquedo and Delfino76) . Another function of polyphenols is modulation of apoptosis. Chou et al. (Reference Chou, Yang and Lu77) incubated human breast adenocarcinoma cell lines MCF-7 with quercetin for 24 and 48 h and at various doses (10–175 μm), resulting in an approximate 90·25 % decrease in viable cells. Quercetin caused a remarkable increase in the number of S phase (14·56 to 61·35 %) and sub-G1 phase cells (0·1 to 8·32 %) in a dose- and time-dependent manner. Following incubation with quercetin for 48 h, MCF-7 cells showed apoptotic cell death, with a reduction in mitochondrial membrane potential, down-regulation of Bcl-2 protein and activation of the initiator caspases, caspase-8 and caspase-9, and the effector caspase, caspase-6, probably due to the binding of quercetin to the Fas/CD95 receptor(Reference Chou, Yang and Lu77). Besides, some groups of flavonoids (the largest category of the polyphenols) act as a phyto-oestrogen and their anti-cancer action can be ascribed to their property of inhibiting aromatase activity(Reference Limer and Speirs78). In particular, there is a similarity between the A and C rings of flavonoids with the D and C rings of androstenedione, the substrate of aromatase(Reference Brueggemeier, Hackett and Diaz-Cruz79). In addition, flavones and isoflavones bind to oestrogen receptors (ER) and to the active sites of aromatase, thus influencing the promoter activity of aromatase(Reference Chan, Wang and Leung80,Reference Ye, Gho and Chan81) .

Cohort studies and case–control studies

In a prospective cohort study, the association between fruit and vegetable intake and BC risk was evaluated in 47 289 Japanese women(Reference Suzuki, Iwasaki and Hara82). During an average of 10·2 years of follow-up, 452 new cases of BC were diagnosed. Cruciferous vegetable intake was associated with a statistically significant decrease in the risk of premenopausal BC (RR 4th v. 1st quartile 0·64; 95 % CI 0·38, 1·10; P = 0·046), with a marginal inverse association with ER+/PR+ tumours (RR per 100 g increment 0·64; 95 % CI 0·41, 1·00)(Reference Suzuki, Iwasaki and Hara82); in addition, a positive association was observed between both total intake of fruits and citrus fruits and BC risk in post- and premenopausal women(Reference Suzuki, Iwasaki and Hara82). Nevertheless, the bias in this study was the contemporary supplementary vitamin C intake and an extremely high intake of citrus fruit might lead to an increased risk of BC due to the extremely high dose of vitamin C(Reference Suzuki, Iwasaki and Hara82). Recently, Fervid et al. (Reference Farvid, Chen and Michels83) evaluated the association between fruit and vegetable intake during adolescence and early adulthood and risk of BC in a cohort study including 90 476 women. The study participants completed a supplemental FFQ during high school (age range 13–18 years). During a follow-up of 22 years, a questionnaire was administered every 2 years, which allowed documentation of 3235 cases of invasive BC. A higher total fruit intake during adolescence was associated with a lower risk of premenopausal BC (HR 4th v. 1st quartile 0·75; 95 % CI 0·62, 0·90; P = 0·01). A high early adulthood intake of fruits and vegetables rich in α-carotene during early adulthood was also associated with a lower risk of premenopausal BC (HR 0·82; 95 % CI 0·70, 0·96) in those subjects in the highest quintile (median intake 0·5 servings/d) compared with those in the lowest quintile (median intake 0·03 servings/d)(Reference Farvid, Chen and Michels83).

Whole grains

Evidence on the inverse association between intake of whole grains and BC risk still remains limited/inconclusive(Reference Park, Brinton and Subar84,Reference Huang, Xu and Lee85) . The protective action of whole grains is attributable to a high content of fibres and it has also been suggested that soluble and insoluble subtypes of dietary fibres may play a different role in the pathophysiological processes related to BC risk. Soluble fibres exert a protective role in the development of BC through various mechanisms, such as the insulin growth factor (IGF) pathway(Reference Yu and Rohan86). In particular, it has been reported that soluble fibres reduce the bioactivity of IGF-1, a major determinant in the pathogenesis and progression of a number of different cancers, notably by increasing IGF binding protein 3 (IGFBP3) concentration(Reference Probst-Hensch, Wang and Goh87,Reference Kerver, Gardiner and Dorgan88) . In addition, soluble fibres represent an effective controller of glucose and insulin homeostasis by slowing down glucose absorption, reducing insulin secretion and regulating the bioavailability of IGF. Instead, insoluble fibres, mainly found in seeds and whole grains, may help by down-regulating the enterohepatic cycling of oestrogens with the consequent increase in their faecal excretion and decrease in their blood concentrations(Reference Rose, Goldman and Connolly89). Moreover, fibres, especially soluble fibres, reduce inflammation as their fermentation in the colon produces SCFA that may exert an anti-inflammatory role(Reference Ma, Hebert and Li90Reference Nilsson, Ostman and Knudsen92) once penetrated into the bloodstream(Reference King, Egan and Woolson93). In fact, higher soluble fibre intake is associated with lower plasma levels of the pro-inflammatory cytokines IL-6(Reference King, Egan and Woolson93,Reference Deschasaux, Zelek and Pouchieu94) .

Cohort studies and case–control studies

Several studies have examined the relationship between whole grain food intake and BC risk, but most analyses were focused on postmenopausal women(Reference Chatenoud, Tavani and La Vecchia95Reference Egeberg, Olsen and Loft97). Data regarding the association of fibres from whole grains and BC are, however, inconsistent, probably due to different effects from soluble v. insoluble fibres(Reference Aune, Chan and Vieira98). In a large cohort study, Cade et al. (Reference Cade, Burley and Greenwood99) evaluated the risk of developing BC and consumption of dietary fibres, in pre- and postmenopausal women. Data were collected from 35 792 women between 1995 and 1998 by using a postal questionnaire that included general questions on diet. During 240 959 subject-years of follow-up, 350 postmenopausal and 257 premenopausal developed invasive BC. In premenopausal, but not postmenopausal, women, a statistically significant inverse relationship between total fibre intake and risk of BC was found (RR 5th v. 1st quintile 0·48; 95 % CI 0·24, 0·96; P = 0·01). In particular, insoluble fibres from cereals were inversely associated with risk of BC (P = 0·05)(Reference Cade, Burley and Greenwood99). Farvid at al.(Reference Farvid, Cho and Eliassen100) evaluated individual grain-containing foods and whole and refined grain intake during adolescence, early adulthood, and premenopausal years in relation to BC risk in a population of 90 516 premenopausal women, within an age range of 25 to 42 years, from the Nurses’ Health Study II. During the 22 years of follow-up 3235 women developed invasive BC. After adjustment for known BC risk factors, the authors concluded that intake in both adulthood and adolescence of whole-grain foods was associated with lower premenopausal BC risk (highest v. lowest quintile: RR 0·82; 95 % CI 0·70, 0·97; P = 0·03; RR 0·74; 95 % CI 0·56, 0·99; P = 0·09, respectively), but not with postmenopausal BC risk. It is interesting to note that these associations were mainly mediated by fibre intake in general, while no single food or type of grain appeared to account for these findings(Reference Farvid, Cho and Eliassen100). However, Ferrari et al. (Reference Ferrari, Rinaldi and Jenab101) in a cohort study, including 334 849 women, BC risk was inversely associated with total dietary fibre intake (HR 5th v. 1st quintile 0·95; 95 % CI 0·89, 1·01; P = 0·03) and fibre from vegetables (HR 5th v. 1st quintile 0·90; 95 % CI 0·84, 0·96; P < 0·01) but not with fibre from fruit, cereals or legumes. In line with these results, a case–control study conducted by Mourouti et al. (Reference Mourouti, Kontogianni and Papavagelis102) investigating the risk of developing BC in relation to consumption of whole grains in 250 cases and 250 controls evidenced that the consumption of whole grain for more than seven times per week was consistently associated with reduced risk of BC, especially in premenopausal women, whereas no significant association was observed in postmenopausal women. More specifically, whole grain consumption of more than seven times per week was associated with a 0·22-fold lesser risk of developing BC in premenopausal women (OR 0·22; 95 % CI 0·09, 0·54; P = 0·001)(Reference Mourouti, Kontogianni and Papavagelis102). More recently, based on food frequency data from a population-based case–control study including 2135 BC cases in subjects of different ethnicity from the San Francisco Bay Area Breast Cancer Study, Sangaramoorthy et al. (Reference Sangaramoorthy, Koo and John103) also reported an association between dietary fibre intake and specific BC subtypes defined by ER and PR status. In this study, the authors confirmed that a high dietary intake of fibre-rich foods, such as beans and grains, may lower the risk of BC in both pre- and postmenopausal women. Of note, this study revealed a significant association between high dietary fibre intake and the aggressive BC subtype, such as ER and PR BC, for which few risk factors have been identified, thus supporting the importance of non-oestrogen-mediated mechanisms, for example, the IGF pathway(Reference Sangaramoorthy, Koo and John103).

Olive oil

Several studies have suggested that olive oil may be associated with a decreased BC risk(Reference Psaltopoulou, Kosti and Haidopoulos104,Reference Garcia-Segovia, Sanchez-Villegas and Doreste105) , even if such a relationship has not been extensively studied in premenopausal women. The main active components of olive oil, the major source of energy in the MD, include monounsaturated lipids (especially oleic acid), phenolic constituents such as hydroxytyrosol, tyrosol (TY), glycoside-OL (oleuropein) and squalene(Reference Sotiroudis and Kyrtopoulos106). Data from previous research studies attribute the anticancer effects of olive oil to its high content in oleic acid, the main MUFA in olive oil. In particular, oleic acid (18 : 1n-9) has been reported to suppress the overexpression of HER-2/ErbB-2, a well-characterised oncogene playing a key role in the aetiology, invasive progression and metastasis in several human cancers(Reference Menendez, Vazquez-Martin and Garcia-Villalba107). As mentioned above, olive oil is also an important reservoir of polyphenolic compounds, which are widely known for their anticancer properties. In particular, OL, 3,4-dihydroxyphenylethanol (HT) and TY(Reference Servili, Esposto and Fabiani108,Reference Servili109) are potent antioxidants able to scavenge the superoxide anion, H2O2 and hypochlorous acid(Reference Gonzalez-Santiago, Martin-Bautista and Carrero110). Phenolic compounds also possess anti-atherogenic, anti-thrombotic and anti-inflammatory properties(Reference Marrugat, Covas and Fito111,Reference Puel, Mardon and Agalias112) . Han et al. (Reference Han, Talorete and Yamada113) demonstrated that HT and OL, at the dosage of 0·1 %, were able to decrease cell viability, inhibit cell proliferation and induce cell apoptosis in MCF-7 cells, with an increase in the number of cells in the G0/G1 phase. Moreover, olive oil polyphenols are able to interact with the NF-κB signalling pathway, which plays a pivotal role in the inflammatory response of the organism and represents an important target for preventing inflammation(Reference Richard, Arnold and Hoeller114). Briefly, the induction by any inflammatory stimulus of cyclo-oxygenase (COX)-2 gene, the master switch that activates the inflammatory response, is a prominent feature of all stages of BC(Reference Liu, Chang and Narko115Reference Harris, Robertson and Abou-Issa117). COX-2 induction quickly results in the biosynthesis of prostaglandins of the E-series, particularly PGE2, which in turn orchestrate the inflammatory response. Amplification of the COX-2 inflammatory cascade is triggered by recognition of proinflammatory stimuli by toll-like receptors on the cell membranes of exposed cells and activation of NF-κB, thereby initiating the production of cytokines, such as TNF-α, IL-1, IL-6 and IL-17, prostaglandins, chemokines and adhesion molecules(Reference Lawrence118). In an in vitro study, Scoditti et al. (Reference Scoditti, Calabriso and Massaro119) studied the effects of antioxidant polyphenols from virgin olive oil (OL and HT) on the angiogenic response in human vascular endothelial cells. The results of this study supported the potential protective role for dietary polyphenols in cancer as the authors reported a decreased angiogenesis via the inhibition of matrix metallopeptidase-9 (MM-9) and COX-2, in association with a significant reduction in the stimulated intracellular ROS levels and in the activation of the redox-sensitive NF-κB(Reference Scoditti, Calabriso and Massaro119).

Cohort studies and case–control studies

The largest case–control study providing data on BC risk and olive oil intake is an Italian investigation of 2569 cases and 2588 controls. In this study, La Vecchia et al. (Reference La Vecchia, Negri and Franceschi120) examined the intake of olive oil and other dietary fats by FFQ. The OR for subsequent quintiles of olive oil intake compared with the lowest one were 1·05 (95 % CI 0·9, 1·3), 0·99 (95 % CI 0·8, 1·2), 0·93 (95 % CI 0·7, 1·2) and 0·87 (95 % CI 0·7, 1·1; P = 0·08); however, no substantial differences were observed between pre- and postmenopausal women(Reference La Vecchia, Negri and Franceschi120). Subsequently, in a case–control study, Garcia-Segovia et al. (Reference Garcia-Segovia, Sanchez-Villegas and Doreste105) evaluated the risk of developing BC in relation to consumption of monounsaturated fat, in pre- and postmenopausal women. The study included a total of 755 women: 291 incident cases with confirmed BC and 464 controls randomly selected from the Canary Island Nutrition Survey (ENCA). Data regarding the usual dietary patterns were collected by using FFQ, and the results supported the protective role of olive oil consumption on BC in Canary Islands women (OR 5th v. 1st quintile 0·27; 95 % CI 0·17, 0·42; P = 0·07), but the authors did not investigate the differences related to menopausal status(Reference Garcia-Segovia, Sanchez-Villegas and Doreste105). Furthermore, an increased risk of BC was shown to be associated with higher mammographic density(Reference Harvey and Bovbjerg121Reference Pollan, Ascunce and Ederra123), and, currently, it is proposed as an intermediate phenotype for identifying women with a higher risk of BC(Reference Boyd, Rommens and Vogt124,Reference Boyd, Martin and Yaffe125) . In a cross-sectional study, García-Arenzana et al. (Reference García-Arenzana, Navarrete-Munoz and Lope126) assessed the association between mammographic density and diet among 3548 pre- and postmenopausal women extracted from seven BC screening programmes in Spain. The results showed that an increase in olive oil consumption of two tablespoons per d (22 g) was associated with a lower mammographic density (OR 0·72; 95 % CI 0·56, 0·93; P = 0·008), with no differences concerning menopausal status(Reference García-Arenzana, Navarrete-Munoz and Lope126).

Fish

Some studies indicate the existence of an inverse association between high intake of fish food and BC risk(Reference Zheng, Hu and Zhao127,Reference Haraldsdottir, Steingrimsdottir and Valdimarsdottir128) , but again most analyses were focused on postmenopausal women(Reference Rigon, Saggia and Rossi129). The protective effect of the consumption of seafood is mainly due to the high content of n-3 PUFA. α-Linolenic acid (18 : 3n-3) is the precursor of the n-3 PUFA family, which can be further elongated and desaturated to two important long-chain n-3 PUFA: EPA (20 : 5n-3) and DHA (22 : 6n-3)(Reference Anderson and Ma130). These classes of PUFA inhibit mammary carcinogenesis at all stages of cancer: initiation(Reference Anderson, MacLennan and Hillyer131), promotion(Reference Erickson and Hubbard132) and progression(Reference Chen, Zhang and Jia133), in both in vitro and animal studies. One of the key cellular functions of PUFA in reducing tumour development is the inhibition of the synthesis of inflammatory eicosanoids derived from arachidonic acid (AA)(Reference Larsson, Kumlin and Ingelman-Sundberg134). In fact, higher intakes of α-linolenic acid reduce the synthesis of AA from linoleic acid (18 : 2n-6) and, thus, less AA is available for the synthesis of inflammatory eicosanoids(Reference Burdge and Calder135,Reference Young, Kurzer and Thomas136) . Moreover, EPA also has other complementary actions on COX-2, as it displaces AA as an enzymic substrate of COX-2 and decreases expression of COX-2(Reference Hardman137), thus limiting the rate of PGE2 synthesis(Reference Wojcik, Lohe and Kuang138,Reference Horia and Watkins139) .

Cohort studies and case–control studies

In a case–control study, Goodstine et al. (Reference Goodstine, Zheng and Holford140) investigated the association between the intake of n-3 and other fatty acids and the n-3:n-6 PUFA ratio and BC risk. In premenopausal women, the consumption of the lowest ratio of n-6 to n-3 was associated with a non-statistically significant 41 % reduction of BC risk (OR 0·59, 95 % CI 0·29, 1·19; P = 0·09)(Reference Goodstine, Zheng and Holford140). In a subsequently case–control study, Kim et al. (Reference Kim, Lim and Shin141) confirmed these data. The authors investigated the association between fish intake and the incidence of BC in Korean women in 362 patients with incident BC, within an age range of 25 to 77 years. Premenopausal women revealed a significant reduction in BC risk for the highest intake quartiles of n-3 fatty acids (OR 4th v. 1st quartile 0·46; 95 % CI 0·22, 0·96), compared with the lowest quartile taken as reference group(Reference Kim, Lim and Shin141). In the Japan cohort study, a significant decrease in the risk of BC was detected in women with the highest dietary intake of fish fat and long-chain n-3 PUFA. In this study, Wakai et al. (Reference Wakai, Tamakoshi and Date142) examined 26 291 women within an age range of 40 to 79 years, who completed a questionnaire on dietary and other factors. During the period of 7·6 years of follow-up 129 incident cases of BC were documented. A significant decrease in risk was detected for the highest quartile of intake compared with the lowest quartile for fish fat and long-chain n-3 fatty acids intake; the RR were 0·56 (95 % CI 0·33, 0·94; P = 0·034) and 0·50 (95 % CI 0·30, 0·85; P = 0·042), respectively. For premenopausal women at baseline, the RR for the higher quartiles of long-chain n-3 fatty acids were lesser than 1, but far from significant levels(Reference Wakai, Tamakoshi and Date142). Similar results were found in another cohort study, where Murff et al. (Reference Murff, Shu and Li143) investigated the association of dietary PUFA and the ratio of n-6 PUFA:marine-derived n-3 PUFA with BC risk in the Shanghai Women’s Health Study. The authors determined dietary fatty acid and fish intake by using FFQ. This study showed no association between n-3 PUFA intake and BC risk, while a low n-3 PUFA intake in women who had the highest n-6 PUFA was positively correlated with an elevated BC risk. These studies indicated the necessity of higher n-3 PUFA intakes, n-6 intakes being generally adequate in all populations, and thus emphasising the potential value of n-3 PUFA as effective agents against BC. No significant differences in individual PUFA effect were observed between pre- and postmenopausal women(Reference Murff, Shu and Li143).

Moderate red wine drinking

Alcohol consumption, including wine, has been consistently associated not only with an increased risk of BC(Reference Allen, Beral and Casabonne144Reference Chen, Rosner and Hankinson146), but also with breast density in both pre- and postmenopausal women(Reference Boyd, Martin and Li147Reference Flom, Ferris and Tehranifar149). The mammary epithelium expresses class I alcohol dehydrogenase and the tissue may be susceptible to an intermediate metabolite of ethanol oxidation (acetaldehyde), responsible for DNA damage and activation of the Fantoni anaemia-BC susceptibility (FA-BRCA)(Reference Allen, Beral and Casabonne144,Reference Abraham, Balbo and Crabb150) . Marietta et al. (Reference Marietta, Thompson and Lamerdin151), in fact, recently showed that the exposure of human cells to acetaldehyde resulted in activation of the FA-BRCA network, as indicated by increased FANCD2 mono-ubiquitination and phosphorylation of BRCA1. Consistent with a DNA damage response, acetaldehyde generates several different types of DNA adducts that can block DNA replication in humans(Reference Brooks and Theruvathu152). However, considering the healthy effects of red wine in the prevention and treatment of several chronic diseases(Reference Shufelt, Merz and Yang153), it is questionable whether also a moderate intake red wine could raise the risk of BC (WCRF)(23). Indeed, red wine is rich in phenolic compounds, such as resveratrol, which exert anti-inflammatory and antioxidant effects and could act as protective factors in BC development(Reference Zhu, Qin and Zhang154). Resveratol is a natural polyphenol present in fruit with red skins, including grapes, and it is therefore also present in high concentration in wine, especially red wine. Resveratrol is also involved in the activation of the protein SIRT1, an enzyme that is a member of the sirtuin family of proteins, which is capable of regulating the activity of certain transcription genes that are involved in the regulation of appetite(Reference Lagouge, Argmann and Gerhart-Hines155). Thus, SIRT1 affects the regulation of energy balance, which in turn can aid in the prevention of diet-dependent obesity and related metabolic disorders(Reference Lagouge, Argmann and Gerhart-Hines155). Also, resveratrol plays a key role in the prevention of cancer by blocking the process of initiation, promotion and progression(Reference Lagouge, Argmann and Gerhart-Hines155). As a phyto-oestrogen, it regulates the expression of numerous genes associated with the development of BC, including a tumour suppressor BRCA1 gene(Reference Cosan, Soyocak and Basaran156). Phytochemicals could also account for different potential mechanistic pathways as red wine is also endowed with anti-oestrogenic activity(Reference Ruotolo, Calani and Fietta157) and may serve as a nutritional aromatase inhibitor(Reference Shufelt, Merz and Yang153). Nonetheless, the protective role of moderate quantities of red wine at meals for reducing BC risks remains questionable.

Cohort studies and case–control studies

In a cross-over study conducted in healthy premenopausal women, Shufelt et al. (Reference Shufelt, Merz and Yang153) compared red wine and white wine consumption and showed that red wine was associated with significantly lower levels of total and free testosterone and sex hormone-binding globulin, as well as a significantly higher levels of luteinising hormone, although without significant differences in oestradiol levels. In a case–control study in Southern France, Bessaoud & Daures(Reference Bessaoud and Daures158) evaluated the effects of drinking patterns of alcoholic beverages on BC risk, focusing on wine consumption in particular. The study reported a lower risk of BC among women consuming 10–12 g/d of wine (OR 0·51; 95 % CI 0·30, 0·97) when compared with non-wine drinkers, but they did not evaluate red and white wine separately, or the difference of risk between pre- and postmenopausal women(Reference Bessaoud and Daures158). Nevertheless, in a cohort study, Fagherazzi et al. (Reference Fagherazzi, Vilier and Boutron-Ruault159) evaluated the interaction between alcohol intake and BC risk in pre- and postmenopausal women. This study showed a positive trend in BC risk with increasing alcohol intake in the overall population (P trend = 0·0003), and women who consumed more than two standard drinks per d had a significant 19 % increase in risk (HR 1·19; 95 % CI 1·04, 1·36), but, this association was limited to postmenopausal women (P trend < 0·0001 and HR 1·24; 95 % CI 1·07, 1·44)(Reference Fagherazzi, Vilier and Boutron-Ruault159).

Red meat

It is known that processed or cooked red meat is a source of carcinogens, due to the generation of heterocyclic amines, N-nitroso compounds and polycyclic aromatic hydrocarbons generated during high-temperature cooking, which are responsible for an increase in BC risk in humans, as demonstrated in numerous in vitro and in vivo test systems(Reference Felton, Knize and Salmon160). In particular, heterocyclic amines display oestrogenic activity and breast tissue-specific carcinogenic activity has been reported(Reference Lauber, Ali and Gooderham161). In addition, several studies have suggested that induction of lipid peroxidation mediated by free radicals of the fats found in red and processed meats could be another mechanism by which processed red meat may promote carcinogenesis(Reference Santarelli, Pierre and Corpet162,Reference Diallo, Deschasaux and Partula163) .

Cohort studies and case–control studies

Several studies have investigated the relationship between intake of red meat and risk of BC in premenopausal women(Reference Linos, Willett and Cho164,Reference Taylor, Misra and Mukherjee165) . In a prospective study, Linos et al. (Reference Linos, Willett and Cho164) investigated red meat intake during adolescence and BC incidence in a group of 39 268 premenopausal women, within an age range of 25 to 43 years. During a 7-year follow-up, 455 women developed invasive BC(Reference Linos, Willett and Cho164). Women who consumed the greatest quantity of red meat during high school had a 30 to 40 % higher risk of BC as compared with women with the lowest intake of red meat (RR 5th v. 1st quintile 1·34; 95 % CI 0·94, 1·89; P = 0·05). A significant linear association was observed with every additional 100 g of red meat consumed per d (RR 1·20; 95 % CI 1·00, 1·43; P = 0·05). Furthermore, this association was more pronounced in ER-positive subjects (RR 1·36; 95 % CI 1·08, 1·70; P = 0·008) and was not significant in ER-negative women (RR 0·99; 95 % CI 0·61, 1·61; P = 0·97)(Reference Linos, Willett and Cho164). Later, these results were confirmed by Farvid et al. (Reference Farvid, Cho and Chen166) in a population study. The authors investigated the consumption of red meat during adolescence as related to BC risk in the Nurses’ Health Study II cohort(Reference Farvid, Cho and Chen166). The cohort consisted of a total of 116 430 females that completed an FFQ about their diet while in high school. During a 13-year follow-up, 1132 new cases of BC were documented. In this study a greater consumption of total red meat was significantly associated with a higher risk of premenopausal BC (RR 5th v. 1st quintile 1·42; 95 % CI 1·05, 1·94; P = 0·007), contrary to what was observed in postmenopausal BC(Reference Farvid, Cho and Chen166). In line with these results, in a very recent prospective study, Diallo et al. (Reference Diallo, Deschasaux and Latino-Martel167) evaluated the prospective associations between red and processed meat intakes and overall, breast and prostate cancer risk. The study included 61 476 men and women with an age of at least 35 years who completed three 24 h dietary records during the first years of follow-up. During the follow-up 1609 incident cancer cases were diagnosed, among which 544 BC. Red meat intake was associated with increased overall cancer risk (HR 5th v. 1st quintile 1·31; 95 % CI 1·10, 1·55; P = 0·01) and increased BC risk (HR 5th v. 1st quintile 1·83; 95 % CI 1·33, 2·51; P = 0·002). This association between red meat intake and increased BC risk was observed in both premenopausal women (HR 5th v. 1st quintile 2·04; 95 % CI 1·03, 4·06) and postmenopausal women (HR 5th v. 1st quintile 1·79; 95 % CI 1·26, 2·55)(Reference Diallo, Deschasaux and Latino-Martel167).

Nuts

Nuts are a rich source of nutrients, such as PUFA, proteins, fibres, vitamins, minerals, antioxidants and phytochemicals, including phenolic compounds and phytosterols(Reference Awad, Chan and Downie168). The multiple mechanisms of the anti-tumoural effect of these components are related to their antioxidant activity, regulation of cell differentiation and proliferation, reduction of tumour initiation or promotion, repair of DNA damage, anti-inflammatory effects, immunoregulatory activity, induction or inhibition of metabolic enzymes and hormonal mechanisms(Reference Kris-Etherton, Hecker and Bonanome169,Reference Gonzalez and Salas-Salvado170) .

Cohort studies and case–control studies

The evidence of nut intake and BC risk is only limited and focused on postmenopausal women(Reference van den Brandt and Nieuwenhuis171). Extrapolating data from the above-mentioned cohort study by Farvid et al. (Reference Farvid, Cho and Chen166) on adolescent meat intake and BC risk, the authors found that there was no significant association between adolescent intake of nuts and premenopausal BC. In a case–control study, Liu et al. (Reference Liu, Colditz and Cotterchio172) investigated the associations of dietary fibres, vegetable proteins, vegetable fat and nuts consumed during adolescence with adult BC risk (OR 5th v. 1st quintile 0·76; 95 % CI 0·61, 0·95 for > serving/d v. < 1 serving/month intake; P = 0·04). The study included 2865 cases and 3299 controls who furnished information on their diet habits during adolescence through an FFQ(Reference Liu, Colditz and Cotterchio172). The results showed that nut intake during adolescence was inversely associated with BC risk. These results were comparable in pre- and postmenopausal BC(Reference Liu, Colditz and Cotterchio172).

Legumes

Some studies indicate the existence of an inverse association between high intake of legumes and BC risk. However, considering the limited number of studies it was not possible to conduct analyses according to menopausal status(Reference Buckland, Travier and Cottet34,Reference Bessaoud, Daures and Gerber173) . As reported above, the protective effect of legumes is attributable to their high content of fibres, in particular soluble fibres. In addition, lignans and phytic acid from legumes have shown antioxidative and anticarcinogenic potential(Reference Norhaizan, Ng and Norashareena174).

Cohort studies and case–control studies

In a case–control study, Sangaramoorthy et al. (Reference Sangaramoorthy, Koo and John103) evaluated the risk of developing BC and consumption of dietary bean fibre in pre- and postmenopausal women. Data were collected from 17 581 women aged 35–79 years and newly diagnosed with a first primary invasive BC by using a FFQ that included general questions on diet and on fibre intake. The authors reported that there was a 20 % reduction in BC risk with high intake (high v. low quartile) of bean fibre (P trend = 0·01), total beans (P trend = 0·03) or total grains (P trend = 0·05). Inverse associations were strongest for ER/PR BC, with a risk reduction associated with high intake ranging from 28 to 36 %, without differences in pre- and postmenopausal women(Reference Sangaramoorthy, Koo and John103). In the Nurses’ Health Study, Adebamowo et al. (Reference Adebamowo, Cho and Sampson175) evaluated the risk of developing BC and consumption of flavonol‐rich foods intake in premenopausal women, aged between 26 and 46 years. Among the major food sources of flavonols, a significant inverse association with the intake of beans or lentils has been reported. The multivariate RR, comparing the highest category (or more times per week) of cumulative average beans or lentils intake with the lowest category (less than once per month), was 0·76 (95 % CI 0·57, 1·00; P for test of trend = 0·03)(Reference Adebamowo, Cho and Sampson175).

Conclusions

Diet is a modifiable factor risk for BC and several studies have reported that low intake of vegetables and fruit and high consumption of red and processed meat increase the risk of developing BC. Epidemiological studies indicate an increase in cases of BC in a younger age at diagnosis. Premenopausal BC is also highly associated with a significantly increased risk of cancer recurrence and higher mortality rate. Despite there being a growing interest in preventive strategies to tackle the increasing rate of premenopausal BC incidence, the role of the MD and its main components in premenopausal women has not yet been sufficiently investigated. Prospective cohort and case–control studies suggested that high adherence to a diet based on the MD pattern, rich in n-3 PUFA, fruits, vegetables, fibres, in association with a reduced intake of red meat and a moderate red wine consumption, gives a significant protection against incidence of BC in postmenopausal women. The protective effects of the MD might be due to several mechanisms, involving the regulation of cell proliferation, induction of apoptosis, and antioxidant action. Although limited by several methodological biases that might potentially affect or influence the interpretation of the findings, including sampling methodology and characteristics of the population included, the studies included in the present review indicate that currently there is no sufficient scientific evidence to support that adherence to the MD pattern is associated with a decrease in BC risk or with specific BC characteristics in premenopausal women. This evidence is in striking contrast to the well-known anti-cancer effects of the MD. Nevertheless, focusing separately on the effects of the main components of the MD, there is an overall agreement that in premenopausal women a high total fruit intake, as well as the intake of insoluble fibres, the regular consumption of whole grains or the intake of nuts, especially during adolescence, are consistently associated with a reduced risk of BC, whereas a high consumption of red meat during adolescence is associated with a high risk of BC. On the contrary, an increase in olive oil and PUFA-rich food consumption, such as fish, and moderate red wine consumption are associated with a lower risk of BC, but without differences concerning menopausal status. On these bases, the clinical and experimental evidence reported in the present review underlines that an accurate nutritional counselling based on healthy dietary choices and lifestyle modifications should be an integral part of the management of premenopausal women with BC and might be of strategic relevance in terms of the prevention of BC. These recommendations should become part of a normal lifestyle during early childhood, when the mammary glands may be particularly vulnerable to breast carcinogenesis due to rapid proliferation of cells and lack of terminal differentiation. However, long-term studies are needed to further confirm the beneficial effect of the MD and of its components in the prevention of BC in premenopausal women.

Acknowledgements

The present review received no specific grant from any funding agency, commercial or not-for-profit sectors.

The authors’ responsibilities were as follows: D. L., L. B. and S. S. were responsible for the concept of this paper and drafted the manuscript; G. M., G. A. and A. C. provided a critical review of the paper. All authors contributed to and agreed on the final version of the manuscript.

There are no conflicts of interest.

References

Eccles, SA, Aboagye, EO, Ali, S, et al. (2013) Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer. Breast Cancer Res 15, R92.CrossRefGoogle ScholarPubMed
Arnold, M, Karim-Kos, HE, Coebergh, JW, et al. (2015) Recent trends in incidence of five common cancers in 26 European countries since 1988: analysis of the European Cancer Observatory. Eur J Cancer 51, 11641187.CrossRefGoogle ScholarPubMed
Rahib, L, Smith, BD, Aizenberg, R, et al. (2014) Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res 74, 29132921.CrossRefGoogle ScholarPubMed
Colditz, GA & Bohlke, K (2014) Priorities for the primary prevention of breast cancer. CA Cancer J Clin 64, 186194.CrossRefGoogle ScholarPubMed
DeSantis, C, Siegel, R, Bandi, P, et al. (2011) Breast cancer statistics, 2011. CA Cancer J Clin 61, 409418.CrossRefGoogle ScholarPubMed
Metcalfe, K, Lubinski, J, Lynch, HT, et al. (2010) Family history of cancer and cancer risks in women with BRCA1 or BRCA2 mutations. J Natl Cancer Inst 102, 18741878.CrossRefGoogle ScholarPubMed
Collaborative Group on Hormonal Factors in Breast Cancer (2012) Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies. Lancet Oncol 13, 11411151.CrossRefGoogle Scholar
Gierisch, JM, Coeytaux, RR, Urrutia, RP, et al. (2013) Oral contraceptive use and risk of breast, cervical, colorectal, and endometrial cancers: a systematic review. Cancer Epidemiol Biomarkers Prev 22, 19311943.CrossRefGoogle ScholarPubMed
Ritte, R, Tikk, K, Lukanova, A, et al. (2013) Reproductive factors and risk of hormone receptor positive and negative breast cancer: a cohort study. BMC Cancer 13, 584.CrossRefGoogle ScholarPubMed
Anders, CK, Johnson, R, Litton, J, et al. (2009) Breast cancer before age 40 years. Semin Oncol 36, 237249.CrossRefGoogle ScholarPubMed
Ferlay, J, Shin, HR, Bray, F, et al. (2010) Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer 127, 28932917.CrossRefGoogle ScholarPubMed
Narod, SA (2012) Breast cancer in young women. Nat Rev Clin Oncol 9, 460470.CrossRefGoogle ScholarPubMed
Brinton, LA, Sherman, ME, Carreon, JD, et al. (2008) Recent trends in breast cancer among younger women in the United States. J Natl Cancer Inst 100, 16431648.CrossRefGoogle ScholarPubMed
Johnson, RH, Chien, FL & Bleyer, A (2013) Incidence of breast cancer with distant involvement among women in the United States, 1976 to 2009. JAMA 309, 800805.CrossRefGoogle ScholarPubMed
Azim, HA Jr & Partridge, AH (2014) Biology of breast cancer in young women. Breast Cancer Res 16, 427.CrossRefGoogle ScholarPubMed
Collins, LC, Marotti, JD, Gelber, S, et al. (2012) Pathologic features and molecular phenotype by patient age in a large cohort of young women with breast cancer. Breast Cancer Res Treat 131, 10611066.CrossRefGoogle Scholar
Voogd, AC, Nielsen, M, Peterse, JL, et al. (2001) Differences in risk factors for local and distant recurrence after breast-conserving therapy or mastectomy for stage I and II breast cancer: pooled results of two large European randomized trials. J Clin Oncol 19, 16881697.CrossRefGoogle ScholarPubMed
Anders, CK, Hsu, DS, Broadwater, G, et al. (2008) Young age at diagnosis correlates with worse prognosis and defines a subset of breast cancers with shared patterns of gene expression. J Clin Oncol 26, 33243330.CrossRefGoogle ScholarPubMed
Anonymous (2011) Breast cancer onset age: distribution in developing countries. Global and regional patterns of age at onset and mortality 180811. http://www.scribd.com/doc/91316254/Breast-cancer-onset-age-distribution-in-developing-countries-Global-and-regional-patterns-of-age-at-onset-and-mortality-180811 (accessed July 2019).Google Scholar
Knaul, F, Bustreo, F, Ha, E, et al. (2009) Breast cancer: why link early detection to reproductive health interventions in developing countries? Salud Publica Mex 51, Suppl. 2, s220s227.CrossRefGoogle ScholarPubMed
Costa, M & Saldanha, P (2017) Risk reduction strategies in breast cancer prevention. Eur J Breast Health 13, 103112.CrossRefGoogle ScholarPubMed
World Cancer Research Fund International (2017) About the Continuous Update Project. http://www.wcrf.org/int/research-we-fund/continuous-update-project-cup (accessed September 2019).Google Scholar
World Cancer Research Fund International (2018) Breast cancer: how diet, nutrition and physical activity affect breast cancer risk. https://www.wcrf.org/dietandcancer/breast-cancer (accessed July 2019).Google Scholar
Heller, MC, Keoleian, GA & Willett, WC (2013) Toward a life cycle-based, diet-level framework for food environmental impact and nutritional quality assessment: a critical review. Environ Sci Technol 47, 1263212647.CrossRefGoogle Scholar
Jacobs, DR Jr, Gross, MD & Tapsell, LC (2009) Food synergy: an operational concept for understanding nutrition. Am J Clin Nutr 89, 1543S1548S.CrossRefGoogle ScholarPubMed
Jaffee, EM, Dang, CV, Agus, DB, et al. (2017) Future cancer research priorities in the USA: a Lancet Oncology Commission. Lancet Oncol 18, e653e706.CrossRefGoogle ScholarPubMed
Schwingshackl, L & Hoffmann, G (2014) Adherence to Mediterranean diet and risk of cancer: a systematic review and meta-analysis of observational studies. Int J Cancer 135, 18841897.CrossRefGoogle ScholarPubMed
Schwingshackl, L & Hoffmann, G (2015) Adherence to Mediterranean diet and risk of cancer: an updated systematic review and meta-analysis of observational studies. Cancer Med 4, 19331947.CrossRefGoogle ScholarPubMed
Sofi, F, Macchi, C, Abbate, R, et al. (2014) Mediterranean diet and health status: an updated meta-analysis and a proposal for a literature-based adherence score. Public Health Nutr 17, 27692782.CrossRefGoogle Scholar
Schwingshackl, L & Hoffmann, G (2016) Does a Mediterranean-type diet reduce cancer risk? Curr Nutr Rep 5, 917.CrossRefGoogle ScholarPubMed
Simopoulos, AP (2001) The Mediterranean diets: what is so special about the diet of Greece? The scientific evidence. J Nutr 131, 3065S3073S.CrossRefGoogle ScholarPubMed
Willett, WC, Sacks, F, Trichopoulou, A, et al. (1995) Mediterranean diet pyramid: a cultural model for healthy eating. Am J Clin Nutr 61, 1402S1406S.CrossRefGoogle ScholarPubMed
da Silva, R, Bach-Faig, A, Raido Quintana, B, et al. (2009) Worldwide variation of adherence to the Mediterranean diet, in 1961–1965 and 2000–2003. Public Health Nutr 12, 16761684.CrossRefGoogle ScholarPubMed
Buckland, G, Travier, N, Cottet, V, et al. (2013) Adherence to the Mediterranean diet and risk of breast cancer in the European Prospective Investigation into Cancer and Nutrition cohort study. Int J Cancer 132, 29182927.CrossRefGoogle ScholarPubMed
Kant, AK (1996) Indexes of overall diet quality: a review. J Am Diet Assoc 96, 785791.CrossRefGoogle ScholarPubMed
Trichopoulou, A, Martinez-Gonzalez, MA, Tong, TY, et al. (2014) Definitions and potential health benefits of the Mediterranean diet: views from experts around the world. BMC Med 12, 112.CrossRefGoogle ScholarPubMed
Milner, JA (2004) Molecular targets for bioactive food components. J Nutr 134, 2492S2498S.CrossRefGoogle ScholarPubMed
Trichopoulou, A, Bamia, C, Lagiou, P, et al. (2010) Conformity to traditional Mediterranean diet and breast cancer risk in the Greek EPIC (European Prospective Investigation into Cancer and Nutrition) cohort. Am J Clin Nutr 92, 620625.CrossRefGoogle ScholarPubMed
Griffiths, K, Aggarwal, BB, Singh, RB, et al. (2016) Food antioxidants and their anti-inflammatory properties: a potential role in cardiovascular diseases and cancer prevention. Diseases 4, E28.CrossRefGoogle ScholarPubMed
Carruba, G, Cocciadiferro, L, Di Cristina, A, et al. (2016) Nutrition, aging and cancer: lessons from dietary intervention studies. Immun Ageing 13, 13.CrossRefGoogle ScholarPubMed
Hernandez-Ruiz, A, Garcia-Villanova, B, Guerra Hernandez, EJ, et al. (2015) Description of indexes based on the adherence to the Mediterranean dietary pattern: a review. Nutr Hosp 32, 18721884.Google ScholarPubMed
Reedy, J, Krebs-Smith, SM, Miller, PE, et al. (2014) Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 144, 881889.CrossRefGoogle ScholarPubMed
Martinez-Gonzalez, MA, Garcia-Arellano, A, Toledo, E, et al. (2012) A 14-item Mediterranean diet assessment tool and obesity indexes among high-risk subjects: the PREDIMED trial. PLOS ONE 7, e43134.CrossRefGoogle ScholarPubMed
Bamia, C, Martimianaki, G, Kritikou, M, et al. (2017) Indexes for assessing adherence to a Mediterranean diet from data measured through brief questionnaires: issues raised from the analysis of a Greek population study. Curr Dev Nutr 1, e000075.CrossRefGoogle ScholarPubMed
Trichopoulou, A, Kouris-Blazos, A, Wahlqvist, ML, et al. (1995) Diet and overall survival in elderly people. BMJ 311, 14571460.CrossRefGoogle ScholarPubMed
Trichopoulou, A, Costacou, T, Bamia, C, et al. (2003) Adherence to a Mediterranean diet and survival in a Greek population. N Engl J Med 348, 25992608.CrossRefGoogle Scholar
Schroder, H, Marrugat, J, Vila, J, et al. (2004) Adherence to the traditional Mediterranean diet is inversely associated with body mass index and obesity in a Spanish population. J Nutr 134, 33553361.CrossRefGoogle Scholar
Ajala, O, English, P & Pinkney, J (2013) Systematic review and meta-analysis of different dietary approaches to the management of type 2 diabetes. Am J Clin Nutr 97, 505516.CrossRefGoogle ScholarPubMed
White, AJ, Nichols, HB, Bradshaw, PT, et al. (2015) Overall and central adiposity and breast cancer risk in the Sister Study. Cancer 121, 37003708.CrossRefGoogle ScholarPubMed
Laudisio, D, Muscogiuri, G, Barrea, L, et al. (2018) Obesity and breast cancer in premenopausal women: current evidence and future perspectives. Eur J Obstet Gynecol Reprod Biol 230, 217221.CrossRefGoogle ScholarPubMed
van den Brandt, PA & Schulpen, M (2017) Mediterranean diet adherence and risk of postmenopausal breast cancer: results of a cohort study and meta-analysis. Int J Cancer 140, 22202231.CrossRefGoogle ScholarPubMed
Fung, TT, Hu, FB, McCullough, ML, et al. (2006) Diet quality is associated with the risk of estrogen receptor-negative breast cancer in postmenopausal women. J Nutr 136, 466472.CrossRefGoogle ScholarPubMed
Butler, LM, Wu, AH, Wang, R, et al. (2010) A vegetable–fruit–soy dietary pattern protects against breast cancer among postmenopausal Singapore Chinese women. Am J Clin Nutr 91, 10131019.CrossRefGoogle ScholarPubMed
Couto, E, Sandin, S, Lof, M, et al. (2013) Mediterranean dietary pattern and risk of breast cancer. PLOS ONE 8, e55374.CrossRefGoogle ScholarPubMed
Demetriou, CA, Hadjisavvas, A, Loizidou, MA, et al. (2012) The Mediterranean dietary pattern and breast cancer risk in Greek-Cypriot women: a case–control study. BMC Cancer 12, 113.CrossRefGoogle ScholarPubMed
Cade, JE, Taylor, EF, Burley, VJ, et al. (2011) Does the Mediterranean dietary pattern or the Healthy Diet Index influence the risk of breast cancer in a large British cohort of women? Eur J Clin Nutr 65, 920928.CrossRefGoogle ScholarPubMed
Schwingshackl, L, Schwedhelm, C, Galbete, C, et al. (2017) Adherence to Mediterranean diet and risk of cancer: an updated systematic review and meta-analysis. Nutrients 9, E1063.CrossRefGoogle ScholarPubMed
Castello, A, Pollan, M, Buijsse, B, et al. (2014) Spanish Mediterranean diet and other dietary patterns and breast cancer risk: case–control EpiGEICAM study. Br J Cancer 111, 14541462.CrossRefGoogle ScholarPubMed
Castello, A, Boldo, E, Perez-Gomez, B, et al. (2017) Adherence to the Western, Prudent and Mediterranean dietary patterns and breast cancer risk: MCC-Spain study. Maturitas 103, 815.CrossRefGoogle ScholarPubMed
Murtaugh, MA, Sweeney, C, Giuliano, AR, et al. (2008) Diet patterns and breast cancer risk in Hispanic and non-Hispanic white women: the Four-Corners Breast Cancer Study. Am J Clin Nutr 87, 978984.CrossRefGoogle ScholarPubMed
Turati, F, Carioli, G, Bravi, F, et al. (2018) Mediterranean diet and breast cancer risk. Nutrients 10, E326.CrossRefGoogle ScholarPubMed
Freudenheim, JL, Marshall, JR, Vena, JE, et al. (1996) Premenopausal breast cancer risk and intake of vegetables, fruits, and related nutrients. J Natl Cancer Inst 88, 340348.CrossRefGoogle ScholarPubMed
Boggs, DA, Palmer, JR, Wise, LA, et al. (2010) Fruit and vegetable intake in relation to risk of breast cancer in the Black Women’s Health Study. Am J Epidemiol 172, 12681279.CrossRefGoogle ScholarPubMed
Turati, F, Rossi, M, Pelucchi, C, et al. (2015) Fruit and vegetables and cancer risk: a review of southern European studies. Br J Nutr 113, Suppl. 2, S102S110.CrossRefGoogle ScholarPubMed
Kang, JH & Grodstein, F (2008) Plasma carotenoids and tocopherols and cognitive function: a prospective study. Neurobiol Aging 29, 13941403.CrossRefGoogle ScholarPubMed
Elliott, R (2005) Mechanisms of genomic and non-genomic actions of carotenoids. Biochim Biophys Acta 1740, 147154.CrossRefGoogle ScholarPubMed
Ben-Dor, A, Steiner, M, Gheber, L, et al. (2005) Carotenoids activate the antioxidant response element transcription system. Mol Cancer Ther 4, 177186.Google ScholarPubMed
Stahl, W & Sies, H (2005) Bioactivity and protective effects of natural carotenoids. Biochim Biophys Acta 1740, 101107.CrossRefGoogle ScholarPubMed
Rutz, JK, Borges, CD, Zambiazi, RC, et al. (2016) Elaboration of microparticles of carotenoids from natural and synthetic sources for applications in food. Food Chem 202, 324333.CrossRefGoogle ScholarPubMed
Gloria, NF, Soares, N, Brand, C, et al. (2014) Lycopene and β-carotene induce cell-cycle arrest and apoptosis in human breast cancer cell lines. Anticancer Res 34, 13771386.Google ScholarPubMed
Karas, M, Amir, H, Fishman, D, et al. (2000) Lycopene interferes with cell cycle progression and insulin-like growth factor I signaling in mammary cancer cells. Nutr Cancer 36, 101111.CrossRefGoogle ScholarPubMed
Prakash, P, Russell, RM & Krinsky, NI (2001) In vitro inhibition of proliferation of estrogen-dependent and estrogen-independent human breast cancer cells treated with carotenoids or retinoids. J Nutr 131, 15741580.CrossRefGoogle ScholarPubMed
Abdal Dayem, A, Choi, HY, Yang, GM, et al. (2016) The anti-cancer effect of polyphenols against breast cancer and cancer stem cells: molecular mechanisms. Nutrients 8, E581.CrossRefGoogle ScholarPubMed
Perron, NR & Brumaghim, JL (2009) A review of the antioxidant mechanisms of polyphenol compounds related to iron binding. Cell Biochem Biophys 53, 75100.CrossRefGoogle ScholarPubMed
Mackenzie, GG & Oteiza, PI (2006) Modulation of transcription factor NF-κB in Hodgkin’s lymphoma cell lines: effect of (–)-epicatechin. Free Radic Res 40, 10861094.CrossRefGoogle ScholarPubMed
Mackenzie, GG, Carrasquedo, F, Delfino, JM, et al. (2004) Epicatechin, catechin, and dimeric procyanidins inhibit PMA-induced NF-κB activation at multiple steps in Jurkat T cells. FASEB J 18, 167169.CrossRefGoogle ScholarPubMed
Chou, CC, Yang, JS, Lu, HF, et al. (2010) Quercetin-mediated cell cycle arrest and apoptosis involving activation of a caspase cascade through the mitochondrial pathway in human breast cancer MCF-7 cells. Arch Pharm Res 33, 11811191.CrossRefGoogle ScholarPubMed
Limer, JL & Speirs, V (2004) Phyto-oestrogens and breast cancer chemoprevention. Breast Cancer Res 6, 119127.CrossRefGoogle ScholarPubMed
Brueggemeier, RW, Hackett, JC & Diaz-Cruz, ES (2005) Aromatase inhibitors in the treatment of breast cancer. Endocr Rev 26, 331345.CrossRefGoogle ScholarPubMed
Chan, HY, Wang, H & Leung, LK (2003) The red clover (Trifolium pratense) isoflavone biochanin A modulates the biotransformation pathways of 7,12-dimethylbenz[a]anthracene. Br J Nutr 90, 8792.CrossRefGoogle ScholarPubMed
Ye, L, Gho, WM, Chan, FL, et al. (2009) Dietary administration of the licorice flavonoid isoliquiritigenin deters the growth of MCF-7 cells overexpressing aromatase. Int J Cancer 124, 10281036.CrossRefGoogle ScholarPubMed
Suzuki, R, Iwasaki, M, Hara, A, et al. (2013) Fruit and vegetable intake and breast cancer risk defined by estrogen and progesterone receptor status: the Japan Public Health Center-based Prospective Study. Cancer Causes Control 24, 21172128.CrossRefGoogle ScholarPubMed
Farvid, MS, Chen, WY, Michels, KB, et al. (2016) Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study. BMJ 353, i2343.CrossRefGoogle ScholarPubMed
Park, Y, Brinton, LA, Subar, AF, et al. (2009) Dietary fiber intake and risk of breast cancer in postmenopausal women: the National Institutes of Health-AARP Diet and Health Study. Am J Clin Nutr 90, 664671.CrossRefGoogle ScholarPubMed
Huang, T, Xu, M, Lee, A, et al. (2015) Consumption of whole grains and cereal fiber and total and cause-specific mortality: prospective analysis of 367,442 individuals. BMC Med 13, 59.CrossRefGoogle ScholarPubMed
Yu, H & Rohan, T (2000) Role of the insulin-like growth factor family in cancer development and progression. J Natl Cancer Inst 92, 14721489.CrossRefGoogle ScholarPubMed
Probst-Hensch, NM, Wang, H, Goh, VH, et al. (2003) Determinants of circulating insulin-like growth factor I and insulin-like growth factor binding protein 3 concentrations in a cohort of Singapore men and women. Cancer Epidemiol Biomarkers Prev 12, 739746.Google Scholar
Kerver, JM, Gardiner, JC, Dorgan, JF, et al. (2010) Dietary predictors of the insulin-like growth factor system in adolescent females: results from the Dietary Intervention Study in Children (DISC). Am J Clin Nutr 91, 643650.CrossRefGoogle Scholar
Rose, DP, Goldman, M, Connolly, JM, et al. (1991) High-fiber diet reduces serum estrogen concentrations in premenopausal women. Am J Clin Nutr 54, 520525.CrossRefGoogle ScholarPubMed
Ma, Y, Hebert, JR, Li, W, et al. (2008) Association between dietary fiber and markers of systemic inflammation in the Women’s Health Initiative Observational Study. Nutrition 24, 941949.CrossRefGoogle ScholarPubMed
Topping, DL & Clifton, PM (2001) Short-chain fatty acids and human colonic function: roles of resistant starch and nonstarch polysaccharides. Physiol Rev 81, 10311064.CrossRefGoogle ScholarPubMed
Nilsson, AC, Ostman, EM, Knudsen, KE, et al. (2010) A cereal-based evening meal rich in indigestible carbohydrates increases plasma butyrate the next morning. J Nutr 140, 19321936.CrossRefGoogle Scholar
King, DE, Egan, BM, Woolson, RF, et al. (2007) Effect of a high-fiber diet vs a fiber-supplemented diet on C-reactive protein level. Arch Intern Med 167, 502506.CrossRefGoogle Scholar
Deschasaux, M, Zelek, L, Pouchieu, C, et al. (2013) Prospective association between dietary fiber intake and breast cancer risk. PLOS ONE 8, e79718.CrossRefGoogle ScholarPubMed
Chatenoud, L, Tavani, A, La Vecchia, C, et al. (1998) Whole grain food intake and cancer risk. Int J Cancer 77, 2428.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Nicodemus, KK, Jacobs, DR Jr & Folsom, AR (2001) Whole and refined grain intake and risk of incident postmenopausal breast cancer (United States). Cancer Causes Control 12, 917925.CrossRefGoogle Scholar
Egeberg, R, Olsen, A, Loft, S, et al. (2009) Intake of whole grain products and risk of breast cancer by hormone receptor status and histology among postmenopausal women. Int J Cancer 124, 745750.CrossRefGoogle ScholarPubMed
Aune, D, Chan, DS, Vieira, AR, et al. (2012) Fruits, vegetables and breast cancer risk: a systematic review and meta-analysis of prospective studies. Breast Cancer Res Treat 134, 479493.CrossRefGoogle ScholarPubMed
Cade, JE, Burley, VJ, Greenwood, DC, et al. (2007) Dietary fibre and risk of breast cancer in the UK Women’s Cohort Study. Int J Epidemiol 36, 431438.CrossRefGoogle ScholarPubMed
Farvid, MS, Cho, E, Eliassen, AH, et al. (2016) Lifetime grain consumption and breast cancer risk. Breast Cancer Res Treat 159, 335345.CrossRefGoogle ScholarPubMed
Ferrari, P, Rinaldi, S, Jenab, M, et al. (2013) Dietary fiber intake and risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition study. Am J Clin Nutr 97, 344353.CrossRefGoogle ScholarPubMed
Mourouti, N, Kontogianni, MD, Papavagelis, C, et al. (2016) Whole grain consumption and breast cancer: a case–control study in women. J Am Coll Nutr 35, 143149.CrossRefGoogle ScholarPubMed
Sangaramoorthy, M, Koo, J & John, EM (2018) Intake of bean fiber, beans, and grains and reduced risk of hormone receptor-negative breast cancer: the San Francisco Bay Area Breast Cancer Study. Cancer Med 7, 21312144.CrossRefGoogle ScholarPubMed
Psaltopoulou, T, Kosti, RI, Haidopoulos, D, et al. (2011) Olive oil intake is inversely related to cancer prevalence: a systematic review and a meta-analysis of 13,800 patients and 23,340 controls in 19 observational studies. Lipids Health Dis 10, 127.CrossRefGoogle Scholar
Garcia-Segovia, P, Sanchez-Villegas, A, Doreste, J, et al. (2006) Olive oil consumption and risk of breast cancer in the Canary Islands: a population-based case–control study. Public Health Nutr 9, 163167.CrossRefGoogle ScholarPubMed
Sotiroudis, TG & Kyrtopoulos, SA (2008) Anticarcinogenic compounds of olive oil and related biomarkers. Eur J Nutr 47, Suppl. 2, 6972.CrossRefGoogle ScholarPubMed
Menendez, JA, Vazquez-Martin, A, Garcia-Villalba, R, et al. (2008) tabAnti-HER2 (erbB-2) oncogene effects of phenolic compounds directly isolated from commercial extra-virgin olive oil (EVOO). BMC Cancer 8, 377.CrossRefGoogle Scholar
Servili, M, Esposto, S, Fabiani, R, et al. (2009) Phenolic compounds in olive oil: antioxidant, health and organoleptic activities according to their chemical structure. Inflammopharmacology 17, 7684.CrossRefGoogle ScholarPubMed
Servili, M (2002) Contribution of phenolic compounds to virgin olive oil quality. Eur J Lipid Sci Technol 104, 602613.3.0.CO;2-X>CrossRefGoogle Scholar
Gonzalez-Santiago, M, Martin-Bautista, E, Carrero, JJ, et al. (2006) One-month administration of hydroxytyrosol, a phenolic antioxidant present in olive oil, to hyperlipemic rabbits improves blood lipid profile, antioxidant status and reduces atherosclerosis development. Atherosclerosis 188, 3542.CrossRefGoogle ScholarPubMed
Marrugat, J, Covas, MI, Fito, M, et al. (2004) Effects of differing phenolic content in dietary olive oils on lipids and LDL oxidation – a randomized controlled trial. Eur J Nutr 43, 140147.CrossRefGoogle ScholarPubMed
Puel, C, Mardon, J, Agalias, A, et al. (2008) Major phenolic compounds in olive oil modulate bone loss in an ovariectomy/inflammation experimental model. J Agric Food Chem 56, 94179422.CrossRefGoogle Scholar
Han, J, Talorete, TP, Yamada, P, et al. (2009) Anti-proliferative and apoptotic effects of oleuropein and hydroxytyrosol on human breast cancer MCF-7 cells. Cytotechnology 59, 4553.CrossRefGoogle ScholarPubMed
Richard, N, Arnold, S, Hoeller, U, et al. (2011) Hydroxytyrosol is the major anti-inflammatory compound in aqueous olive extracts and impairs cytokine and chemokine production in macrophages. Planta Med 77, 18901897.CrossRefGoogle ScholarPubMed
Liu, CH, Chang, SH, Narko, K, et al. (2001) Overexpression of cyclooxygenase-2 is sufficient to induce tumorigenesis in transgenic mice. J Biol Chem 276, 1856318569.CrossRefGoogle ScholarPubMed
Zhao, Y, Agarwal, VR, Mendelson, CR, et al. (1996) Estrogen biosynthesis proximal to a breast tumor is stimulated by PGE2 via cyclic AMP, leading to activation of promoter II of the CYP19 (aromatase) gene. Endocrinology 137, 57395742.CrossRefGoogle ScholarPubMed
Harris, RE, Robertson, FM, Abou-Issa, HM, et al. (1999) Genetic induction and upregulation of cyclooxygenase (COX) and aromatase (CYP19): an extension of the dietary fat hypothesis of breast cancer. Med Hypotheses 52, 291292.CrossRefGoogle ScholarPubMed
Lawrence, T (2009) The nuclear factor NF-κB pathway in inflammation. Cold Spring Harb Perspect Biol 1, a001651.CrossRefGoogle ScholarPubMed
Scoditti, E, Calabriso, N, Massaro, M, et al. (2012) Mediterranean diet polyphenols reduce inflammatory angiogenesis through MMP-9 and COX-2 inhibition in human vascular endothelial cells: a potentially protective mechanism in atherosclerotic vascular disease and cancer. Arch Biochem Biophys 527, 8189.CrossRefGoogle ScholarPubMed
La Vecchia, C, Negri, E, Franceschi, S, et al. (1995) Olive oil, other dietary fats, and the risk of breast cancer (Italy). Cancer Causes Control 6, 545550.CrossRefGoogle Scholar
Harvey, JA & Bovbjerg, VE (2004) Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology 230, 2941.CrossRefGoogle ScholarPubMed
Torres-Mejia, G, De Stavola, B, Allen, DS, et al. (2005) Mammographic features and subsequent risk of breast cancer: a comparison of qualitative and quantitative evaluations in the Guernsey prospective studies. Cancer Epidemiol Biomarkers Prev 14, 10521059.CrossRefGoogle ScholarPubMed
Pollan, M, Ascunce, N, Ederra, M, et al. (2013) Mammographic density and risk of breast cancer according to tumor characteristics and mode of detection: a Spanish population-based case–control study. Breast Cancer Res 15, R9.CrossRefGoogle ScholarPubMed
Boyd, NF, Rommens, JM, Vogt, K, et al. (2005) Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6, 798808.CrossRefGoogle ScholarPubMed
Boyd, NF, Martin, LJ, Yaffe, MJ, et al. (2011) Mammographic density and breast cancer risk: current understanding and future prospects. Breast Cancer Res 13, 223.CrossRefGoogle ScholarPubMed
García-Arenzana, N, Navarrete-Munoz, EM, Lope, V, et al. (2014) Calorie intake, olive oil consumption and mammographic density among Spanish women. Int J Cancer 134, 19161925.CrossRefGoogle ScholarPubMed
Zheng, JS, Hu, XJ, Zhao, YM, et al. (2013) Intake of fish and marine n-3 polyunsaturated fatty acids and risk of breast cancer: meta-analysis of data from 21 independent prospective cohort studies. BMJ 346, f3706.CrossRefGoogle ScholarPubMed
Haraldsdottir, A, Steingrimsdottir, L, Valdimarsdottir, UA, et al. (2017) Early life residence, fish consumption, and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 26, 346354.CrossRefGoogle ScholarPubMed
Rigon, E, Saggia, C, Rossi, V, et al. (2015) FISH in triple-negative breast cancer: a possible strategy for the future? Future Oncol 11, 10231026.CrossRefGoogle ScholarPubMed
Anderson, BM & Ma, DW (2009) Are all n-3 polyunsaturated fatty acids created equal? Lipids Health Dis 8, 33.CrossRefGoogle ScholarPubMed
Anderson, BM, MacLennan, MB, Hillyer, LM, et al. (2014) Lifelong exposure to n-3 PUFA affects pubertal mammary gland development. Appl Physiol Nutr Metab 39, 699706.CrossRefGoogle ScholarPubMed
Erickson, KL & Hubbard, NE (2010) Fatty acids and breast cancer: the role of stem cells. Prostaglandins Leukot Essent Fatty Acids 82, 237241.CrossRefGoogle ScholarPubMed
Chen, Z, Zhang, Y, Jia, C, et al. (2014) mTORC1/2 targeted by n-3 polyunsaturated fatty acids in the prevention of mammary tumorigenesis and tumor progression. Oncogene 33, 45484557.CrossRefGoogle ScholarPubMed
Larsson, SC, Kumlin, M, Ingelman-Sundberg, M, et al. (2004) Dietary long-chain n-3 fatty acids for the prevention of cancer: a review of potential mechanisms. Am J Clin Nutr 79, 935945.CrossRefGoogle ScholarPubMed
Burdge, GC & Calder, PC (2005) Conversion of α-linolenic acid to longer-chain polyunsaturated fatty acids in human adults. Reprod Nutr Dev 45, 581597.CrossRefGoogle ScholarPubMed
Young, LR, Kurzer, MS, Thomas, W, et al. (2011) Effect of dietary fat and omega-3 fatty acids on urinary eicosanoids and sex hormone concentrations in postmenopausal women: a randomized controlled feeding trial. Nutr Cancer 63, 930939.CrossRefGoogle ScholarPubMed
Hardman, WE (2002) Omega-3 fatty acids to augment cancer therapy. J Nutr 132, 3508S3512S.CrossRefGoogle ScholarPubMed
Wojcik, C, Lohe, K, Kuang, C, et al. (2014) Modulation of adipocyte differentiation by omega-3 polyunsaturated fatty acids involves the ubiquitin–proteasome system. J Cell Mol Med 18, 590599.CrossRefGoogle ScholarPubMed
Horia, E & Watkins, BA (2005) Comparison of stearidonic acid and α-linolenic acid on PGE2 production and COX-2 protein levels in MDA-MB-231 breast cancer cell cultures. J Nutr Biochem 16, 184192.CrossRefGoogle ScholarPubMed
Goodstine, SL, Zheng, T, Holford, TR, et al. (2003) Dietary (n-3)/(n-6) fatty acid ratio: possible relationship to premenopausal but not postmenopausal breast cancer risk in U.S. women. J Nutr 133, 14091414.CrossRefGoogle Scholar
Kim, J, Lim, SY, Shin, A, et al. (2009) Fatty fish and fish omega-3 fatty acid intakes decrease the breast cancer risk: a case–control study. BMC Cancer 9, 216.CrossRefGoogle ScholarPubMed
Wakai, K, Tamakoshi, K, Date, C, et al. (2005) Dietary intakes of fat and fatty acids and risk of breast cancer: a prospective study in Japan. Cancer Sci 96, 590599.CrossRefGoogle ScholarPubMed
Murff, HJ, Shu, XO, Li, H, et al. (2011) Dietary polyunsaturated fatty acids and breast cancer risk in Chinese women: a prospective cohort study. Int J Cancer 128, 14341441.CrossRefGoogle ScholarPubMed
Allen, NE, Beral, V, Casabonne, D, et al. (2009) Moderate alcohol intake and cancer incidence in women. J Natl Cancer Inst 101, 296305.CrossRefGoogle ScholarPubMed
Smith-Warner, SA, Spiegelman, D, Yaun, SS, et al. (1998) Alcohol and breast cancer in women: a pooled analysis of cohort studies. JAMA 279, 535540.CrossRefGoogle ScholarPubMed
Chen, WY, Rosner, B, Hankinson, SE, et al. (2011) Moderate alcohol consumption during adult life, drinking patterns, and breast cancer risk. JAMA 306, 18841890.CrossRefGoogle ScholarPubMed
Boyd, NF, Martin, LJ, Li, Q, et al. (2006) Mammographic density as a surrogate marker for the effects of hormone therapy on risk of breast cancer. Cancer Epidemiol Biomarkers Prev 15, 961966.CrossRefGoogle ScholarPubMed
Byrne, C, Webb, PM, Jacobs, TW, et al. (2002) Alcohol consumption and incidence of benign breast disease. Cancer Epidemiol Biomarkers Prev 11, 13691374.Google ScholarPubMed
Flom, JD, Ferris, JS, Tehranifar, P, et al. (2009) Alcohol intake over the life course and mammographic density. Breast Cancer Res Treat 117, 643651.CrossRefGoogle ScholarPubMed
Abraham, J, Balbo, S, Crabb, D, et al. (2011) Alcohol metabolism in human cells causes DNA damage and activates the Fanconi anemia-breast cancer susceptibility (FA-BRCA) DNA damage response network. Alcohol Clin Exp Res 35, 21132120.CrossRefGoogle ScholarPubMed
Marietta, C, Thompson, LH, Lamerdin, JE, et al. (2009) Acetaldehyde stimulates FANCD2 monoubiquitination, H2AX phosphorylation, and BRCA1 phosphorylation in human cells in vitro: implications for alcohol-related carcinogenesis. Mutat Res 664, 7783.CrossRefGoogle ScholarPubMed
Brooks, PJ & Theruvathu, JA (2005) DNA adducts from acetaldehyde: implications for alcohol-related carcinogenesis. Alcohol 35, 187193.CrossRefGoogle ScholarPubMed
Shufelt, C, Merz, CN, Yang, Y, et al. (2012) Red versus white wine as a nutritional aromatase inhibitor in premenopausal women: a pilot study. J Womens Health (Larchmt) 21, 281284.CrossRefGoogle ScholarPubMed
Zhu, W, Qin, W, Zhang, K, et al. (2012) Trans-resveratrol alters mammary promoter hypermethylation in women at increased risk for breast cancer. Nutr Cancer 64, 393400.CrossRefGoogle ScholarPubMed
Lagouge, M, Argmann, C, Gerhart-Hines, Z, et al. (2006) Resveratrol improves mitochondrial function and protects against metabolic disease by activating SIRT1 and PGC-1α. Cell 127, 11091122.CrossRefGoogle ScholarPubMed
Cosan, D, Soyocak, A, Basaran, A, et al. (2009) The effects of resveratrol and tannic acid on apoptosis in colon adenocarcinoma cell line. Saudi Med J 30, 191195.Google ScholarPubMed
Ruotolo, R, Calani, L, Fietta, E, et al. (2013) Anti-estrogenic activity of a human resveratrol metabolite. Nutr Metab Cardiovasc Dis 23, 10861092.CrossRefGoogle ScholarPubMed
Bessaoud, F & Daures, JP (2008) Patterns of alcohol (especially wine) consumption and breast cancer risk: a case–control study among a population in Southern France. Ann Epidemiol 18, 467475.CrossRefGoogle ScholarPubMed
Fagherazzi, G, Vilier, A, Boutron-Ruault, MC, et al. (2015) Alcohol consumption and breast cancer risk subtypes in the E3N-EPIC cohort. Eur J Cancer Prev 24, 209214.CrossRefGoogle ScholarPubMed
Felton, JS, Knize, MG, Salmon, CP, et al. (2002) Human exposure to heterocyclic amine food mutagens/carcinogens: relevance to breast cancer. Environ Mol Mutagen 39, 112118.CrossRefGoogle ScholarPubMed
Lauber, SN, Ali, S & Gooderham, NJ (2004) The cooked food derived carcinogen 2-amino-1-methyl-6-phenylimidazo [4,5-b] pyridine is a potent oestrogen: a mechanistic basis for its tissue-specific carcinogenicity. Carcinogenesis 25, 25092517.CrossRefGoogle ScholarPubMed
Santarelli, RL, Pierre, F & Corpet, DE (2008) Processed meat and colorectal cancer: a review of epidemiologic and experimental evidence. Nutr Cancer 60, 131144.CrossRefGoogle ScholarPubMed
Diallo, A, Deschasaux, M, Partula, V, et al. (2016) Dietary iron intake and breast cancer risk: modulation by an antioxidant supplementation. Oncotarget 7, 7900879016.CrossRefGoogle ScholarPubMed
Linos, E, Willett, WC, Cho, E, et al. (2008) Red meat consumption during adolescence among premenopausal women and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 17, 21462151.CrossRefGoogle ScholarPubMed
Taylor, VH, Misra, M & Mukherjee, SD (2009) Is red meat intake a risk factor for breast cancer among premenopausal women? Breast Cancer Res Treat 117, 18.CrossRefGoogle ScholarPubMed
Farvid, MS, Cho, E, Chen, WY, et al. (2015) Adolescent meat intake and breast cancer risk. Int J Cancer 136, 19091920.CrossRefGoogle ScholarPubMed
Diallo, A, Deschasaux, M, Latino-Martel, P, et al. (2018) Red and processed meat intake and cancer risk: results from the prospective NutriNet-Sante cohort study. Int J Cancer 142, 230237.CrossRefGoogle ScholarPubMed
Awad, AB, Chan, KC, Downie, AC, et al. (2000) Peanuts as a source of β-sitosterol, a sterol with anticancer properties. Nutr Cancer 36, 238241.CrossRefGoogle ScholarPubMed
Kris-Etherton, PM, Hecker, KD, Bonanome, A, et al. (2002) Bioactive compounds in foods: their role in the prevention of cardiovascular disease and cancer. Am J Med 113, Suppl. 9B, 71s88s.CrossRefGoogle ScholarPubMed
Gonzalez, CA & Salas-Salvado, J (2006) The potential of nuts in the prevention of cancer. Br J Nutr 96, Suppl. 2, S87S94.CrossRefGoogle ScholarPubMed
van den Brandt, PA & Nieuwenhuis, L (2018) Tree nut, peanut, and peanut butter intake and risk of postmenopausal breast cancer: the Netherlands Cohort Study. Cancer Causes Control 29, 6375.CrossRefGoogle ScholarPubMed
Liu, Y, Colditz, GA, Cotterchio, M, et al. (2014) Adolescent dietary fiber, vegetable fat, vegetable protein, and nut intakes and breast cancer risk. Breast Cancer Res Treat 145, 461470.CrossRefGoogle ScholarPubMed
Bessaoud, F, Daures, JP & Gerber, M (2008) Dietary factors and breast cancer risk: a case control study among a population in Southern France. Nutr Cancer 60, 177187.CrossRefGoogle ScholarPubMed
Norhaizan, ME, Ng, SK, Norashareena, MS, et al. (2011) Antioxidant and cytotoxicity effect of rice bran phytic acid as an anticancer agent on ovarian, breast and liver cancer cell lines. Malays J Nutr 17, 367375.Google ScholarPubMed
Adebamowo, CA, Cho, E, Sampson, L, et al. (2005) Dietary flavonols and flavonol-rich foods intake and the risk of breast cancer. Int J Cancer 114, 628633.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Characteristics of cohort studies and case–control studies, of breast cancer (BC) incidence and adherence to the Mediterranean diet (MD), in premenopausal and postmenopausal women