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Associations between dietary patterns and the risk of breast cancer: a systematic review and meta-analysis of observational studies

Breast Cancer Research volume 21, Article number: 16 (2019) Cite this article

Abstract

Background

Epidemiologic evidence suggests that certain dietary patterns were associated with breast cancer risk, but the results have been inconclusive. We assessed the associations between different dietary patterns and the risk of breast cancer by conducting a meta-analysis of observational studies.

Methods

Relevant articles were searched in PubMed, Embase, and Cochrane library databases through September 2017. Multivariable-adjusted relative risks (RRs) and 95% confidence intervals (CIs) comparing the highest and lowest categories of Western and prudent dietary patterns were combined by using the random-effects meta-analyses.

Results

We identified 32 eligible articles including 14 cohort and 18 case-control studies (34 Western and 35 prudent studies). The pooled analyses found that a Western dietary pattern was associated with a 14% increased risk (RR 1.14, 95% CI 1.02, 1.28), whereas a prudent dietary pattern was associated with an 18% reduced risk of breast cancer (RR 0.82, 95% CI 0.75, 0.89). In addition, sub-group analyses showed that the positive association between a Western dietary pattern and breast cancer risk was significant among postmenopausal (RR 1.20, 95% CI 1.06, 1.35), but not premenopausal women (RR 1.18, 95% CI 0.99, 1.40), and significant for hormone receptor-positive tumors (RR 1.18, 95% CI 1.04, 1.33), but not receptor-negative tumors (RR 0.97, 95% CI 0.83, 1.12). In contrast, the inverse association between a prudent dietary pattern and breast cancer was significant in premenopausal (RR 0.77, 95% CI 0.61, 0.98), but not postmenopausal women (RR 0.88, 95% CI 0.74, 1.03), and significant for both hormone receptor-positive and receptor-negative tumors.

Conclusions

The results of the current meta-analysis suggest a possible increased risk of breast cancer associated with a Western dietary pattern and a reduced risk with a prudent dietary pattern. Large-scale cohort studies with a high quality need to be conducted to further confirm the findings of the current meta-analysis. As dietary patterns are modifiable, these findings may provide viable strategies for breast cancer prevention through changes in dietary intake.

Background

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women in both developed and developing countries. Globally, the incidence rate of breast cancer has been rising rapidly over the past few decades [1]. Most of the well-established breast cancer risk factors, such as family history, age at menarche, age at menopause, and reproductive history, e.g., age at first birth and parity, are, in general, not readily modifiable [2]. Migrant studies suggest that potentially modifiable lifestyle factors, in particular diet, also play an important role in breast cancer prevention [3].

A substantial number of epidemiological studies have examined the associations between individual foods and the risk of breast cancer. High intakes of red meat, animal fats, and refined carbohydrates have been shown to be associated with an increased risk [4,5,6], whereas intake of fruits, vegetables, whole grains, and dietary fiber has been linked with a reduced risk of breast cancer [6,7,8]. However, foods contain many nutrients and the different nutrients interact with each other. Although these individual food items have been associated with breast cancer in some instances, the totality of evidence is inclusive, as supported by the World Cancer Research Fund (WCRF) Report on Nutrition and Physical Activity [9]. Therefore, dietary patterns, which are derived from factor analysis and/or principal component analysis, have been adopted and considered as better indicators of overall dietary intake and nutritional status than individual food items.

Numerous epidemiological studies have assessed the associations between different dietary patterns and the risk of breast cancer. Some studies have found a positive association between a Western dietary pattern and breast cancer risk [10, 11], and others observed an inverse association between prudent or healthy dietary patterns and breast cancer risk [12, 13]. However, contradictory results have also been reported [11, 14]. In addition, no association between different dietary patterns and the risk of breast cancer has been reported in some other studies [15,16,17]. A previous meta-analysis published in 2010 which included 8 case-control studies and 8 cohort studies showed that a prudent/healthy dietary pattern was associated with a reduction in the risk of breast cancer, but no association between a Western/unhealthy dietary pattern and breast cancer risk. Since then, additional 16 original observational studies have been published including 6 cohort and 10 case-control studies, more than double the number of breast cancer cases (n = 43,285 vs. 19,908 cases) than in the previous meta-analysis. Considering the inconsistent results in the current evidence and the insufficient statistical power of the previous meta-analysis due to the small number of studies and breast cancer cases, we conducted an updated meta-analysis of observational studies to review and summarize the epidemiologic evidence on the association between dietary patterns and the risk of breast cancer. We further examined these associations by study designs and characteristics of study populations.

Methods

Search strategy

We followed the PRISMA standard guidelines to perform the meta-analyses of observation studies and write the manuscript according to the PRISMA checklist (Additional file 1). PubMed, EMBASE, and Cochrane Library databases were searched through September 2017 for relevant articles that reported the association between different dietary patterns and the risk of breast cancer. To avoid missing any relevant study, reference lists and review papers on this topic were also reviewed. The following keywords or phrases were used in the structured literature search, including “diet”, or “dietary”, or “pattern”, or “risk” in combination with “breast”, or “breast cancer”, or “breast neoplasm”, or “cancer”, or “tumor”, or “carcinoma”, or “neoplasm”, or “mammary”, and “human” to search articles published in English.

Study selection

Studies were included if they met the following inclusion criteria: (1) it was a case-control or a cohort study; (2) the exposure of interest was the most common dietary consumption pattern derived from factor analysis and/or principal component analysis. To reduce the heterogeneity across the studies, only the dietary patterns with similar factor loadings of foods were selected. For example, the Western or Western-like dietary pattern with high loadings of foods including red and/or processed meats, high-fat dairy products, potatoes, and sweets was selected as a representative unhealthy dietary pattern, whereas a prudent or similar dietary pattern with high loadings of foods such as fruits, vegetables, fish, whole grains, and low-fat dairy products was considered as a healthy dietary pattern; (3) the outcome of interest was incident breast cancer cases excluding recurrent cases; all incident breast cancer cases were diagnosed and verified by pathological biopsies or other standard methods, with controls/non-cases being females without breast cancer; all breast cancer types were included such as in situ or invasive cancer; (4) the relative risks (RRs), hazards ratios (HRs), or odds ratios (ORs) and the corresponding 95% CI for the highest compared with the lowest category of dietary patterns were reported.

Two reviewers independently screened the titles and abstracts of the searched papers and excluded the articles which did not meet the above-described inclusion criteria. For those that were difficult to determine their eligibility, a full-text assessment was conducted. All disputes, if any, were resolved by discussion.

We initially identified 2517 potentially relevant articles from the databases, and 370 records were excluded because they were duplicates. After title and abstract review, 2080 articles were further excluded. After reviewing the full text of the remaining 67 articles, 35 papers were excluded due to the following reasons: one article was not an observational study [18]; eight studies did not assess the relevant exposure of dietary patterns [19,20,21,22,23,24,25,26]; three were meta-analyses [8, 27, 28]; one was a review paper [29]; one study reported breast density as the outcome [30]; one used benign breast disease as the outcome [31], seven studies looked at breast cancer survival, not breast cancer risk [32,33,34,35,36,37,38], and an additional 13 papers did not use dietary patterns that were derived by factor analysis and/or principal components analysis [39,40,41,42,43,44,45,46,47,48,49,50,51]. Because one article reported on two cohort studies [52] and another article reported on three cohort studies within the single article [14], finally, 32 eligible articles that reported 34 studies (17 case-control and 17 cohort studies) of Western and 35 studies (18 case-control and 17 cohort studies) of prudent dietary patterns with breast cancer risk were included in the current meta-analysis. A flow chart of the study selection process is presented in Fig. 1.

Fig. 1
figure 1

Flow chart of literature search and selection of studies on dietary patterns and the risk of breast cancer

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Data extraction and quality assessment

Two reviewers independently abstracted data on study characteristics and results by using a standardized data collection form. Discrepancies in data extraction between the reviewers were resolved by consensus. Data extracted included the following: first author’s last name; year of publication; location of the study; study design; sample size; average age of participants; dietary assessment methods; dietary patterns; RRs, HRs, and ORs with the corresponding 95% CIs from the fully adjusted model for the highest compared with the lowest category of dietary patterns; and potential confounders adjusted in the multivariate analysis.

We also systematically assessed the study quality. Briefly, a nine-score system on the basis of the Newcastle Ottawa Scale (NOS) was used to assess the quality of the included studies. Each study was evaluated on three broad criteria: (1) the proper selection of study population, (2) the comparability of the study groups, and (3) the ascertainment of the exposure or outcome of interest. Two reviewers independently assessed the quality of each study. Disagreements were resolved through discussion to reach a consensus. Studies scored greater or equal to 7, out of a maximum 9 points, were considered to be high-quality studies.

Statistical analyses

RRs were used as a common measure of the association between dietary patterns and the risk of breast cancer across studies. HRs, ORs, or incidence rate ratios (IRRs) were directly considered as estimates of RR. To calculate summary RR and its 95% CI, we pooled the results by using random-effects meta-analysis. The random-effects analysis was chosen a priori because of the anticipated clinical and methodological heterogeneity and because it is considered more conservative than the fixed-effects analysis, as it accounts for both within- and between-study heterogeneity [53]. Heterogeneity across studies was evaluated by using the Q statistics at the P < 0.10 level of significance. We also calculated the I2 statistic, which describes the total variation across studies attributable to heterogeneity rather than chance; an I2 value greater than 50% indicates at least moderate heterogeneity [54].

Because participant characteristics and confounder adjustment differed across the studies, which may result in different associations between dietary patterns and breast cancer risk among the studies, we further conducted stratified analyses to explore possible sources of heterogeneity and to examine the influence of various inclusion criteria on the overall risk estimate. Pre-specified subgroup analyses by menopausal status, hormone receptor status, study design, number of breast cancer cases, number of adjusted variables, quality scores of studies, and with or without adjustment for certain risk factors were performed to assess whether these variables modify the overall risk estimate. We also conducted a sensitivity analysis to investigate the influence of each individual study or a group of studies, for example, studies that used diet history questionnaires, or with the low quality score, on the overall risk estimate by removing one study or a group of studies at a time.

Potential publication bias was assessed by visual inspection of Begg’s funnel plots in which the log RRs were plotted against their standard errors (SEs). We also performed Begg’s rank correlation test and Egger’s linear regression test [55, 56]. All analyses were performed using STATA version 11.0 (StataCorp LP, College Station, Texas). A P value < 0.05 was considered statistically significant, except where otherwise specified.

Results

Study characteristics

The characteristics of the included 32 articles are presented in Table 1. Eighteen articles reported results from case-control studies [11, 12, 15, 16, 57,58,59,60,61,62,63,64,65,66,67,68,69,70], and 14 articles reported findings from cohort studies [10, 13, 14, 17, 52, 71,72,73,74,75,76,77,78,79], of which one article reported on two cohort studies [52] and another article reported on three cohort studies within the single article [14]. Therefore, there are a total of 18 case-control studies and 17 cohort studies included in the current meta-analysis. The articles were published between 2001 and 2016. Of these, 11 studies were conducted in North America, 4 in South America, 11 in Europe, and 8 in Asia. Sample sizes of studies ranged from 274 to 91,779. The number of breast cancer cases varied from 100 to 4140. Dietary intake was assessed using food-frequency questionnaire (FFQ) in 33 studies and diet history questionnaire in two studies [10, 11]. A wide range of potential confounding factors were adjusted, including age at interview, age at menarche, age at first delivery, body mass index (BMI), smoking, alcohol consumption, energy intake, family history of breast cancer, physical activity, hormone use, and menopausal status.

Table 1 Characteristics of the studies included in the systematic review and meta-analysis of dietary patterns and breast cancer risk
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Table 2 shows the methodological quality of the included studies. The NOS scores ranged from 6 to 9, with 30 high- and 5 low-quality studies. Bias related to exposure assessment and selection bias were found, and non-response rates were not reported in most case-control studies; bias related to exposure assessment was also found, and follow-up rates were not reported in most cohort studies.

Table 2 Assessment of study quality included in the meta-analysis by Newcastle Ottawa Scale (NOS)
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Associations between dietary patterns and the risk of breast cancer

The multivariable-adjusted RRs for each study and the combined RR for the highest compared with the lowest categories of a Western dietary pattern are shown in Fig. 2. The pooled result found a positive association between the Western dietary pattern and the risk of breast cancer (RR 1.14, 95% CI 1.02, 1.28, P = 0.017), with significant heterogeneity (I2 = 85.3%, P < 0.001). The positive association was only significant in case-control studies (RR 1.36, 95% CI 1.08, 1.71, P < 0.001) with significant heterogeneity (I2 = 91.1%, P < 0.001), but not in cohort studies (RR 1.02, 95% CI 0.96, 1.09, P = 0.49) with no evidence of significant heterogeneity (I2 = 30.9%, P = 0.109).

Fig. 2
figure 2

Forest plot shows the association between the highest category of a Western dietary pattern and the risk of breast cancer

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Overall, the combined RR of breast cancer for the highest compared with the lowest category of a prudent pattern was 0.82 (95% CI 0.75, 0.89; P < 0.001), with large heterogeneity (I2 = 78.1%, P < 0.001) (Fig. 3). A significantly reduced risk of breast cancer was observed in case-control studies (RR 0.70, 95% CI 0.58, 0.85, P < 0.001), with large heterogeneity (I2 = 87.4%, P < 0.001). In addition, an inverse association between prudent dietary and breast cancer risk was also observed in cohort studies (RR 0.89, 95% CI 0.85, 0.93, P < 0.001), with no heterogeneity (I2 = 0.0%, P = 0.58).

Fig. 3
figure 3

Forest plot shows the association between the highest category of a prudent dietary pattern and the risk of breast cancer

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Dietary patterns and the risk of breast cancer by menopausal status

Because breast cancers diagnosed at premenopausal stage are different from those diagnosed at postmenopausal stage, stratified analysis was performed to examine whether the association between dietary patterns and breast cancer risk differs by menopausal status. No significant association between a Western dietary pattern and breast cancer risk was observed among premenopausal women (15 studies, RR 1.18, 95% CI 0.99, 1.40, P = 0.058) (Fig. 4A), with significant heterogeneity (I2 = 60.9%, P = 0.001). However, a significantly increased risk of breast cancer was found among postmenopausal women (16 studies, RR 1.20, 95% CI 1.06, 1.35, P = 0.004) (Fig. 4B), with significant heterogeneity (I2 = 57.6%, P = 0.002). In contrast, a significant inverse association comparing the highest to the lowest category of prudent dietary patterns and breast cancer risk was observed among premenopausal women (13 studies, RR 0.77, 95% CI 0.61, 0.98, P = 0.034; I2 = 78.3%, P < 0.001; Fig. 4C), but not among postmenopausal women (15 studies, RR 0.88, 95% CI 0.74, 1.03, P = 0.112; I2 = 79.2%, P < 0.001; Fig. 4D).

Fig. 4
figure 4

Forest plot shows the association between dietary patterns and the risk of breast cancer by menopause status. a Western dietary pattern in premenopausal women. b Western dietary pattern in postmenopausal women. c Prudent dietary pattern in premenopausal women d Prudent dietary pattern in postmenopausal women

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Dietary patterns and the risk of breast cancer by hormone receptor status

The Western dietary pattern was significantly associated with an 18% increase in the risk of estrogen receptor (ER+) and/or progesterone (PR+) breast tumors (12 studies, RR 1.18, 95% CI 1.04, 1.33, P = 0.012; I2 = 59.2%, P = 0.005; Fig. 5A). However, no association was found for the ER− and/or PR− tumors (12 studies, RR 0.97, 95% CI 0.83, 1.12, P = 0.671; I2 = 14.1%, P = 0.307; Fig. 5B). In addition, the prudent dietary pattern was significantly associated with a 20% reduction in the risk of ER+ and/or PR+ tumors (11 studies, RR 0.80, 95% CI 0.66, 0.98, P = 0.03; I2 = 84.5%, P < 0.001; Fig. 5C) and 32% reduction in the risk of ER− and/or PR− tumors (11 studies, RR 0.68, 95% CI 0.55, 0.83, P < 0.001; I2 = 54.8%, P = 0.014; Fig. 5D), respectively. Further meta-analyses according to ER subtypes within strata of menopausal status found no significant association between Western or prudent dietary patterns and breast cancer risk (Table 3).

Fig. 5
figure 5

Forest plot shows the association between dietary patterns and the risk of breast cancer by hormone receptor status. a Western dietary pattern in breast cancer patients with estrogen and/or progesterone receptor positive. b Western dietary pattern in breast cancer patients with estrogen and/or progesterone receptor negative. c Prudent dietary pattern in breast cancer patients with estrogen and/or progesterone receptor positive. d Prudent dietary pattern in breast cancer patients with estrogen and/or progesterone receptor negative

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Table 3 Meta-analyses on the association between dietary patterns and breast cancer risk according to ER subtypes within strata of menopausal status
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Subgroups, meta-regression, and sensitivity analyses

Table 4 presents the results of the subgroup analyses. In stratified analyses by study design, number of cases, geographical location, number of adjusted covariates, study quality score, and with or without adjustment for several confounders, we found that the Western dietary pattern was positively associated with the risk of breast cancer in some subgroups with significant heterogeneity in the subgroups. In comparison, the prudent dietary pattern was inversely associated with the risk of breast cancer among the subgroups also with significant heterogeneity. However, no evidence of heterogeneity was observed among the subgroups with meta-regression analyses.

Table 4 Meta-analyses on the association between dietary patterns and breast cancer risk
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Sensitivity analyses were also conducted to determine whether the results would change when one study was removed at a time. The results were fairly robust. The summary estimates ranged from 1.08 (95% CIs 1.01, 1.18) to 1.16 (95% CIs 1.04, 1.30) for the Western dietary pattern (Additional file 2: Figure S1) and from 0.81 (95% CIs 0.74, 0.88) to 0.84 (95% CIs 0.78, 0.91) for the prudent dietary pattern (Additional file 3: Figure S2). When the two studies [10, 11] that used diet history questionnaires were excluded, the Western dietary pattern was still significantly associated with an increased (RR 1.14, 95% CI 1.01, 1.28, P = 0.036) and the prudent dietary pattern was significantly associated with a reduced risk of breast cancer (RR 0.80, 95% CI 0.73, 0.87, P < 0.001), respectively. In addition, when the five studies [13, 14, 59, 64, 72] with the low quality score of less than seven were removed, the results did not materially change.

Publication bias

Although the funnel plot was slightly asymmetric, after using the trim-and-fill method, visual inspection of Begg’s funnel plot did not identify substantial asymmetry (Additional file 4: Figure S3 and Additional file 5: Figure S4). In addition, Begg’s and Egger’s tests showed no evidence of publication bias for Western dietary pattern studies (Begg’s test P = 0.138, Egger’s test P = 0.347). Although there was marginally significant publication bias for prudent dietary pattern studies (Begg’s test P = 0.088, Egger’s test P = 0.049), no evidence of publication bias was observed after using the trim-and-fill method (Begg’s test P = 0.687, Egger’s test P = 0.975), and the association remained significant (RR 0.87, 95% CI 0.79, 0.97, P = 0.009).

Discussion

This meta-analysis of 32 observational studies including 43,285 breast cancer cases supports a positive association of a Western dietary pattern and an inverse association of a prudent dietary pattern with the risk of breast cancer. The Western dietary pattern was overall associated with a 14% increased risk, when comparing high vs. low groups, which was only significant in case-control studies (35% increased risk) but not in cohort studies (2% increase), suggesting that recall bias might at least partially explain the discrepant results in different study designs. The prudent dietary pattern, comparing high vs. low groups, was associated with a reduced risk (overall 18% decrease) of breast cancer in both case-control (30% decreased risk) and cohort studies (11% decrease). Furthermore, results of a Western dietary pattern are null in study designs with greater covariate adjustment and higher study quality, suggesting that the observed association may be limited to study designs with more limitations. Other stratified-analyses showed that the positive association between a Western dietary pattern and breast cancer risk was statistically significant among postmenopausal women, but not significant among premenopausal women. In contrast, the inverse association between a prudent dietary pattern and the risk of breast cancer was significant among premenopausal women, but not significant among postmenopausal women. In addition, the Western dietary pattern was significantly associated with an increased risk of ER+ and/or PR+, but not ER− and/or PR− breast tumors. In comparison, the prudent dietary pattern was significantly associated with a lowered risk of both ER+ and/or PR+ and ER− and/or PR− tumors.

In 2007, the WCRF report concluded that there was insufficient evidence to make a judgment about the relationship between dietary patterns and the risk of breast cancer [9]. Subsequently, a meta-analysis published in 2010 including eight case-control and eight cohort studies showed that a prudent/healthy dietary pattern was associated with an 11% reduction in the risk of breast cancer, whereas no association was found between a Western/unhealthy dietary pattern and breast cancer risk [27]. The results from our analyses are consistent with those of the previous meta-analysis to some extent. The 18% reduction in breast cancer risk associated with the prudent dietary pattern was stronger than the result in the previous meta-analysis. We also found a 14% increase in breast cancer risk associated with the Western dietary pattern. The result of a positive association between the Western dietary pattern and breast cancer risk in case–control but not cohort studies is also in line with the finding of subgroup analyses in the previous meta-analysis. However, an inverse association between the prudent dietary pattern and the risk of breast cancer was observed only in cohort but not case-control studies in that meta-analysis, whereas an inverse association was observed in both case-control and cohort studies in our meta-analysis. With an additional 10 case-control [15, 62,63,64,65,66,67,68,69,70] and 6 cohort studies [13, 17, 52, 77,78,79] and more than double the number of breast cancer cases (n = 43,285 vs. 19,908 cases) than in the previous meta-analysis, the current study had greater statistical power to detect significant associations.

Because estrogens have long been hypothesized to play an essential role in breast cancer development and the source and metabolic pathway of estrogens are different between premenopausal and postmenopausal women [80], the etiology and risk factors of breast cancer differs by menopausal status. Hence, we further conducted stratified analysis to examine the dietary pattern-breast cancer association by menopausal status. Interestingly, the Western dietary pattern was associated with a 20% increased risk of breast cancer among postmenopausal but not among premenopausal women. In contrast, the prudent dietary pattern was associated with a 23% reduction in breast cancer risk among premenopausal but not among postmenopausal women. The different associations between dietary patterns and breast cancer risk by menopausal status may be explained by the diet-estrogen pathway. After menopause, when ovarian production of estrogen ceases, the serum levels of estrogen come from aromatization of androstenedione to estrone in the stroma of fat cells followed by conversion to estradiol; therefore, adipose tissue is the major source of estrogen among postmenopausal women [81]. Obese postmenopausal women have both relatively high serum concentrations of estradiol and an increased risk of breast cancer [82]. Our results also showed that adjustment for BMI attenuated the magnitude of the positive Western dietary pattern-breast cancer risk. Therefore, one plausible mechanism that the Western dietary pattern, characterized by high intakes of energy, red meat and processed meat, and animal fat, can increase breast cancer risk is through increased BMI and increased levels of estrogen, and particularly among postmenopausal women. These explanations need to be further examined in future studies. As diet is advocated by the WCRF as a potentially modifiable means to reduce cancer risk, the prudent dietary pattern should be adopted, particularly among younger premenopausal women, to protect against the development of breast cancer. The prudent dietary pattern is characterized by high intakes of fruit, vegetables, and whole grains. Fruits and vegetables contain a variety of micronutrients with anti-cancer properties, including antioxidant vitamins such as vitamin E and vitamin C, folate, dietary fiber, dithiolthiones, isothiocyanates, glucosinolates, indoles, protease inhibitors, and phytochemicals (lycopene, phenolic compounds, and flavonoids). These nutrients may influence carcinogenic process by affecting the immune system and oxidative stress, altering hormonal status, modifying the structure and function of cell membranes, and modulating cell signaling transduction pathways and gene expression [83, 84]. The inverse association between a prudent dietary pattern and breast cancer observed among premenopausal women may be due to the high estrogen levels and potentially stronger protective effect of various nutrients rich in fruits and vegetables of this dietary pattern.

Hormone receptor status is an important diagnostic and prognostic characteristic of breast tumor and, therefore, merits consideration. Among the studies which examined the dietary patterns and breast cancer association by hormone receptor status [10, 13, 16, 17, 58, 62, 64, 67, 74, 76,77,78], the Western dietary pattern has been found to be associated with an increased risk of hormone receptor-positive breast tumors in some studies [58, 67, 76, 78], whereas no association was found regardless of hormone receptor status in some other studies [13, 17, 74]. Conflicting results were also reported for the association between the prudent dietary pattern and breast cancer risk by hormone receptor status. In our stratified analyses, the Western dietary pattern was associated with an 18% increased risk of ER- and/or PR-positive tumors but not ER- and/or PR-negative tumors. In contrast, the prudent dietary pattern was associated with a 20% reduced risk of ER- and/or PR-positive tumors and 32% reduced risk of ER- and/or PR-negative tumors, respectively. The prudent dietary pattern may play an important role in estrogen metabolism and breast cancer protection, as it is characterized by high intakes of fruit, vegetables, and whole grains, which are rich sources of phytoestrogens, isothiocyanates, flavonoids, antioxidants, and folate, all of which have been found to be associated with a reduced breast cancer risk [85, 86]. The positive association between the Western dietary pattern and hormone receptor-positive tumors is consistent with the results from a previous intervention study which found that decreased fat intake was associated with risk reduction mainly in ER+ tumors [87].

Our study had several strengths. With a larger number of studies and breast cancer cases than the previous meta-analysis, our meta-analysis had more statistical power to detect a significant association between the Western dietary pattern and breast cancer risk and to calculate a more reliable estimate for the prudent dietary pattern and breast cancer association. In addition, to the best of our knowledge, this is the first meta-analysis to analyze the dietary pattern and breast cancer risk by menopausal status and hormone receptor status. We also carried out sensitivity analyses to show that the results were fairly robust.

Potential limitations of this study should also be considered. First, the quality of meta-analyses is largely dependent on the quality of the original studies included in the meta-analyses. The current meta-analysis included 18 case-control studies and 14 cohort studies. Therefore, the possibility of recall bias related to differential recalls of dietary intake between cases and controls and control selection bias in case-control studies cannot be completely ruled out. Due to a lack of significance in association between a Western dietary pattern and breast cancer in cohort studies, the significant association in case-control studies may not be a true association as a result of recall bias. Second, unmeasured and uncontrolled confounding is always of a concern in observational studies, although most included studies adjusted a large number of factors which may potentially confound the dietary patterns and breast cancer association. However, not all potential confounders were adjusted for in every study, such as breast density [88] and history of chest exposure to high doses of radiation [89]. Third, because the two dietary patterns were identified and classified differently in the studies reviewed, it is also possible that the two dietary patterns may be misclassified and the results may be influenced. To minimize potential misclassification, we selected only the most commonly identified dietary patterns across studies and ensured as far as possible that the dietary patterns were similar with regard to factor loadings of foods most commonly consumed. Furthermore, we estimated the summary RRs comparing the highest category of the particular dietary patterns to the lowest category. Fourth, the FFQs and diet histories were used to assess dietary patterns in the studies. Although the reproducibility and validity of these methods was reported [90], the variability in the factor analysis and/or principal component analysis may still exist [91]. As a result of the uncorrelated data-driven patterns, only certain aspects of diet were captured within a given pattern. For example, a prudent pattern often had factor loading near 0 for animal products; thus, these diet high in both plants and animal products were not penalized for consuming some processed/animal products that may be harmful. Finally, publication bias was found among the studies which reported a prudent dietary pattern. However, after using a trim-and-fill method, the inverse association remained significant.

Conclusions

In summary, our meta-analysis provides potential evidence of a possible positive association between the Western dietary pattern and an inverse association between the prudent dietary pattern and breast cancer risk. However, the results should be interpreted with caution, as the observed positive association may be limited to study designs with more limitations. Subgroup analyses found that these associations differed by menopausal status and hormone receptor status. As diet is potentially modifiable, the findings may have important implications to promote a prudent dietary pattern for breast cancer prevention.

Abbreviations

BMI:

Body mass index

CIs:

Confidence intervals

ER:

Estrogen receptor

FFQ:

Food-frequency questionnaire

HRs:

Hazards ratios

IRRs:

Incidence rate ratios

NOS:

Newcastle Ottawa Scale

ORs:

Odds ratios

PR:

Progesterone

RRs:

Relative risks

References

  1. Jemal A, Siegel R, Xu J, Ward E. Cancer statistics, 2010. CA Cancer J Clin. 2010;60(5):277–300.

    PubMed  Article  PubMed Central  Google Scholar 

  2. Thomson CA. Diet and breast cancer: understanding risks and benefits. Nutrit Clin Pract. 2012;27(5):636–50.

    Article  Google Scholar 

  3. Ziegler RG, Hoover RN, Pike MC, Hildesheim A, Nomura AM, West DW, Wu-Williams AH, Kolonel LN, Horn-Ross PL, Rosenthal JF, et al. Migration patterns and breast cancer risk in Asian-American women. J Natl Cancer Inst. 1993;85(22):1819–27.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  4. Levi F, La Vecchia C, Gulie C, Negri E. Dietary factors and breast cancer risk in Vaud, Switzerland. Nutr Cancer. 1993;19(3):327–35.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  5. La Vecchia C, Decarli A, Franceschi S, Gentile A, Negri E, Parazzini F. Dietary factors and the risk of breast cancer. Nutr Cancer. 1987;10(4):205–14.

    PubMed  Article  PubMed Central  Google Scholar 

  6. Nicodemus KK, Jacobs DR Jr, Folsom AR. Whole and refined grain intake and risk of incident postmenopausal breast cancer (United States). Cancer Causes Control. 2001;12(10):917–25.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  7. Malin AS, Qi D, Shu XO, Gao YT, Friedmann JM, Jin F, Zheng W. Intake of fruits, vegetables and selected micronutrients in relation to the risk of breast cancer. Int J Cancer. 2003;105(3):413–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  8. Dong JY, He K, Wang P, Qin LQ. Dietary fiber intake and risk of breast cancer: a meta-analysis of prospective cohort studies. Am J Clin Nutr. 2011;94(3):900–5.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. Wiseman M. The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: a global perspective. Proc Nutr Soc. 2008;67(3):253–6.

    PubMed  Article  PubMed Central  Google Scholar 

  10. Cottet V, Touvier M, Fournier A, Touillaud MS, Lafay L, Clavel-Chapelon F, Boutron-Ruault MC. Postmenopausal breast cancer risk and dietary patterns in the E3N-EPIC prospective cohort study. Am J Epidemiol. 2009;170(10):1257–67.

    PubMed  Article  PubMed Central  Google Scholar 

  11. Murtaugh MA, Sweeney C, Giuliano AR, Herrick JS, Hines L, Byers T, Baumgartner KB, Slattery ML. Diet patterns and breast cancer risk in Hispanic and non-Hispanic white women: the Four-Corners Breast Cancer Study. Am J Clin Nutr. 2008;87(4):978–84.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  12. Wu AH, Yu MC, Tseng CC, Stanczyk FZ, Pike MC. Dietary patterns and breast cancer risk in Asian American women. Am J Clin Nutr. 2009;89(4):1145–54.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  13. Link LB, Canchola AJ, Bernstein L, Clarke CA, Stram DO, Ursin G, Horn-Ross PL. Dietary patterns and breast cancer risk in the California Teachers Study cohort. Am J Clin Nutr. 2013;98(6):1524–32.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  14. Mannisto S, Dixon LB, Balder HF, Virtanen MJ, Krogh V, Khani BR, Berrino F, van den Brandt PA, Hartman AM, Pietinen P, et al. Dietary patterns and breast cancer risk: results from three cohort studies in the DIETSCAN project. Cancer Causes Control. 2005;16(6):725–33.

    PubMed  Article  PubMed Central  Google Scholar 

  15. Bessaoud F, Tretarre B, Daures JP, Gerber M. Identification of dietary patterns using two statistical approaches and their association with breast cancer risk: a case-control study in southern France. Ann Epidemiol. 2012;22(7):499–510.

    PubMed  Article  PubMed Central  Google Scholar 

  16. Cui X, Dai Q, Tseng M, Shu XO, Gao YT, Zheng W. Dietary patterns and breast cancer risk in the shanghai breast cancer study. Cancer Epidemiol Biomarkers Prev. 2007;16(7):1443–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  17. Harris HR, Willett WC, Vaidya RL, Michels KB. Adolescent dietary patterns and premenopausal breast cancer incidence. Carcinogenesis. 2016;37(4):376–84.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  18. Prieto-Ramos F, Serra-Majem L, La Vecchia C, Ramon JM, Tresserras R, Salleras L. Mortality trends and past and current dietary factors of breast cancer in Spain. Eur J Epidemiol. 1996;12(2):141–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  19. Woo HD, Park KS, Shin A, Ro J, Kim J. Glycemic index and glycemic load dietary patterns and the associated risk of breast cancer: a case-control study. Asian Pac J Cancer Prev. 2013;14(9):5193–8.

    PubMed  Article  PubMed Central  Google Scholar 

  20. Ronco AL, de Stefani E, Aune D, Boffetta P, Deneo-Pellegrini H, Acosta G, Mendilaharsu M. Nutrient patterns and risk of breast cancer in Uruguay. Asian Pac J Cancer Prev. 2010;11(2):519–24.

    PubMed  PubMed Central  Google Scholar 

  21. Pala V, Krogh V, Muti P, Chajes V, Riboli E, Micheli A, Saadatian M, Sieri S, Berrino F. Erythrocyte membrane fatty acids and subsequent breast cancer: a prospective Italian study. J Natl Cancer Inst. 2001;93(14):1088–95.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  22. Favero A, Parpinel M, Franceschi S. Diet and risk of breast cancer: major findings from an Italian case-control study. Biomed Pharmacother. 1998;52(3):109–15.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  23. De Stefani E, Correa P, Ronco A, Mendilaharsu M, Guidobono M, Deneo-Pellegrini H. Dietary fiber and risk of breast cancer: a case-control study in Uruguay. Nutr Cancer. 1997;28(1):14–9.

    PubMed  Article  PubMed Central  Google Scholar 

  24. Sanchez-Zamorano LM, Flores-Luna L, Angeles-Llerenas A, Romieu I, Lazcano-Ponce E, Miranda-Hernandez H, Mainero-Ratchelous F, Torres-Mejia G. Healthy lifestyle on the risk of breast cancer. Cancer Epidemiol Biomarkers Prev. 2011;20(5):912–22.

    PubMed  Article  PubMed Central  Google Scholar 

  25. Jonas CR, McCullough ML, Teras LR, Walker-Thurmond KA, Thun MJ, Calle EE. Dietary glycemic index, glycemic load, and risk of incident breast cancer in postmenopausal women. Cancer Epidemiol Biomarkers Prev. 2003;12(6):573–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Winters BL, Mitchell DC, Smiciklas-Wright H, Grosvenor MB, Liu W, Blackburn GL. Dietary patterns in women treated for breast cancer who successfully reduce fat intake: the Women's Intervention Nutrition Study (WINS). J Am Diet Assoc. 2004;104(4):551–9.

    PubMed  Article  PubMed Central  Google Scholar 

  27. Brennan SF, Cantwell MM, Cardwell CR, Velentzis LS, Woodside JV. Dietary patterns and breast cancer risk: a systematic review and meta-analysis. Am J Clin Nutr. 2010;91(5):1294–302.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  28. Lai JS, Hiles S, Bisquera A, Hure AJ, McEvoy M, Attia J. A systematic review and meta-analysis of dietary patterns and depression in community-dwelling adults. Am J Clin Nutr. 2014;99(1):181–97.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  29. Albuquerque RC, Baltar VT, Marchioni DM. Breast cancer and dietary patterns: a systematic review. Nutr Rev. 2014;72(1):1–17.

    PubMed  Article  PubMed Central  Google Scholar 

  30. Mishra GD, dos Santos SI, McNaughton SA, Stephen A, Kuh D. Energy intake and dietary patterns in childhood and throughout adulthood and mammographic density: results from a British prospective cohort. Cancer Causes Control. 2011;22(2):227–35.

    PubMed  Article  PubMed Central  Google Scholar 

  31. Tiznobeyk Z, Sheikhi Mobarakeh Z, Qorbani M, Koohdani F, Sotoudeh G, Khajehnasiri F, Khosravi S, Doostan F. Dietary patterns and benign breast diseases: a case-control study. Br J Nutr. 2016;116(2):353–9.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  32. Palacios C, Daniel CR, Tirado-Gomez M, Gonzalez-Mercado V, Vallejo L, Lozada J, Ortiz A, Hughes DC, Basen-Engquist K. Dietary patterns in Puerto Rican and Mexican-American breast cancer survivors: a pilot study. J Immigr Minor Health. 2017;19(2):341–8.

  33. Vrieling A, Buck K, Seibold P, Heinz J, Obi N, Flesch-Janys D, Chang-Claude J. Dietary patterns and survival in German postmenopausal breast cancer survivors. Br J Cancer. 2013;108(1):188–92.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  34. George SM, Irwin ML, Smith AW, Neuhouser ML, Reedy J, McTiernan A, Alfano CM, Bernstein L, Ulrich CM, Baumgartner KB, et al. Postdiagnosis diet quality, the combination of diet quality and recreational physical activity, and prognosis after early-stage breast cancer. Cancer Causes Control. 2011;22(4):589–98.

    PubMed  PubMed Central  Article  Google Scholar 

  35. Izano MA, Fung TT, Chiuve SS, Hu FB, Holmes MD. Are diet quality scores after breast cancer diagnosis associated with improved breast cancer survival? Nutr Cancer. 2013;65(6):820–6.

    PubMed  PubMed Central  Article  Google Scholar 

  36. Kwan ML, Weltzien E, Kushi LH, Castillo A, Slattery ML, Caan BJ. Dietary patterns and breast cancer recurrence and survival among women with early-stage breast cancer. J Clin Oncol. 2009;27(6):919–26.

    PubMed  Article  PubMed Central  Google Scholar 

  37. Kroenke CH, Fung TT, Hu FB, Holmes MD. Dietary patterns and survival after breast cancer diagnosis. J Clin Oncol. 2005;23(36):9295–303.

    PubMed  Article  PubMed Central  Google Scholar 

  38. McCullough ML, Gapstur SM, Shah R, Campbell PT, Wang Y, Doyle C, Gaudet MM. Pre- and postdiagnostic diet in relation to mortality among breast cancer survivors in the CPS-II nutrition cohort. Cancer Causes Control. 2016;27(11):1303–14.

    PubMed  Article  PubMed Central  Google Scholar 

  39. Penniecook-Sawyers JA, Jaceldo-Siegl K, Fan J, Beeson L, Knutsen S, Herring P, Fraser GE. Vegetarian dietary patterns and the risk of breast cancer in a low-risk population. Br J Nutr. 2016;115(10):1790–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  40. Hirko KA, Willett WC, Hankinson SE, Rosner BA, Beck AH, Tamimi RM, Eliassen AH. Healthy dietary patterns and risk of breast cancer by molecular subtype. Breast Cancer Res Treat. 2016;155(3):579–88.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  41. Ahmadnia Z, Joukar F, Hasavari F, Roushan ZA, Khalili M. Dietary patterns and risk of breast cancer in women in Guilan Province, Iran. Asian Pac. J. Cancer Prev. 2016;17(4):2035–40.

    PubMed  Article  PubMed Central  Google Scholar 

  42. Pot GK, Stephen AM, Dahm CC, Key TJ, Cairns BJ, Burley VJ, Cade JE, Greenwood DC, Keogh RH, Bhaniani A, et al. Dietary patterns derived with multiple methods from food diaries and breast cancer risk in the UK dietary cohort consortium. Eur J Clin Nutr. 2014;68(12):1353–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  43. Jordan I, Hebestreit A, Swai B, Krawinkel MB. Dietary patterns and breast cancer risk among women in northern Tanzania: a case-control study. Eur J Nutr. 2013;52(3):905–15.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  44. Cade JE, Taylor EF, Burley VJ, Greenwood DC. 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. 2011;65(8):920–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  45. Cade JE, Taylor EF, Burley VJ, Greenwood DC. Common dietary patterns and risk of breast cancer: analysis from the United Kingdom Women’s Cohort Study. Nutr Cancer. 2010;62(3):300–6.

    PubMed  Article  PubMed Central  Google Scholar 

  46. Assi N, Moskal A, Slimani N, Viallon V, Chajes V, Freisling H, Monni S, Knueppel S, Forster J, Weiderpass E, et al. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2016;19(2):242–54.

    PubMed  Article  PubMed Central  Google Scholar 

  47. Engeset D, Dyachenko A, Ciampi A, Lund E. Dietary patterns and risk of cancer of various sites in the Norwegian European prospective investigation into cancer and nutrition cohort: the Norwegian Women and Cancer study. Eur. J. Cancer Prev. 2009;18(1):69–75.

    PubMed  Article  PubMed Central  Google Scholar 

  48. Sant M, Allemani C, Sieri S, Krogh V, Menard S, Tagliabue E, Nardini E, Micheli A, Crosignani P, Muti P, et al. Salad vegetables dietary pattern protects against HER-2-positive breast cancer: a prospective Italian study. Int J Cancer. 2007;121(4):911–4.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  49. Bessaoud F, Daures JP, Gerber M. Dietary factors and breast cancer risk: a case control study among a population in southern France. Nutr Cancer. 2008;60(2):177–87.

    PubMed  Article  PubMed Central  Google Scholar 

  50. Edefonti V, Randi G, Decarli A, La Vecchia C, Bosetti C, Franceschi S, Dal Maso L, Ferraroni M. Clustering dietary habits and the risk of breast and ovarian cancers. Ann Oncol. 2009;20(3):581–90.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  51. McCann SE, McCann WE, Hong CC, Marshall JR, Edge SB, Trevisan M, Muti P, Freudenheim JL. Dietary patterns related to glycemic index and load and risk of premenopausal and postmenopausal breast cancer in the Western New York Exposure and Breast Cancer Study. Am J Clin Nutr. 2007;86(2):465–71.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  52. Catsburg C, Kim RS, Kirsh VA, Soskolne CL, Kreiger N, Rohan TE. Dietary patterns and breast cancer risk: a study in 2 cohorts. Am J Clin Nutr. 2015;101(4):817–23.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  53. Riley RD, Higgins JP, Deeks JJ. Interpretation of random effects meta-analyses. BMJ (Clinical research ed). 2011;342:d549.

    Article  Google Scholar 

  54. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ (Clinical research ed). 2003;327(7414):557–60.

    Article  Google Scholar 

  55. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ (Clinical research ed). 1997;315(7109):629–34.

    CAS  Article  Google Scholar 

  56. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50(4):1088–101.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  57. Nkondjock A, Ghadirian P. Associated nutritional risk of breast and colon cancers: a population-based case-control study in Montreal, Canada. Cancer Lett. 2005;223(1):85–91.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  58. Ronco AL, De Stefani E, Boffetta P, Deneo-Pellegrini H, Acosta G, Mendilaharsu M. Food patterns and risk of breast cancer: a factor analysis study in Uruguay. Int J Cancer. 2006;119(7):1672–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  59. Hirose K, Matsuo K, Iwata H, Tajima K. Dietary patterns and the risk of breast cancer in Japanese women. Cancer Sci. 2007;98(9):1431–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  60. Edefonti V, Decarli A, La Vecchia C, Bosetti C, Randi G, Franceschi S, Dal Maso L, Ferraroni M. Nutrient dietary patterns and the risk of breast and ovarian cancers. Int J Cancer. 2008;122(3):609–13.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  61. De Stefani E, Deneo-Pellegrini H, Boffetta P, Ronco AL, Aune D, Acosta G, Mendilaharsu M, Brennan P, Ferro G. Dietary patterns and risk of cancer: a factor analysis in Uruguay. Int J Cancer. 2009;124(6):1391–7.

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  62. Cho YA, Kim J, Shin A, Park KS, Ro J. Dietary patterns and breast cancer risk in Korean women. Nutr Cancer. 2010;62(8):1161–9.

    PubMed  Article  PubMed Central  Google Scholar 

  63. Ronco AL, De Stefani E, Deneo-Pellegrini H, Boffetta P, Aune D, Silva C, Lando G, Luaces ME, Acosta G, Mendilaharsu M. Dietary patterns and risk of ductal carcinoma of the breast: a factor analysis in Uruguay. Asian Pac. J. Cancer Prev. 2010;11(5):1187–93.

    PubMed  PubMed Central  Google Scholar 

  64. Buck K, Vrieling A, Flesch-Janys D, Chang-Claude J. Dietary patterns and the risk of postmenopausal breast cancer in a German case-control study. Cancer Causes Control. 2011;22(2):273–82.

    PubMed  Article  PubMed Central  Google Scholar 

  65. Zhang CX, Ho SC, Fu JH, Cheng SZ, Chen YM, Lin FY. Dietary patterns and breast cancer risk among Chinese women. Cancer Causes Control. 2011;22(1):115–24.

    PubMed  Article  PubMed Central  Google Scholar 

  66. Demetriou CA, Hadjisavvas A, Loizidou MA, Loucaides G, Neophytou I, Sieri S, Kakouri E, Middleton N, Vineis P, Kyriacou K. The Mediterranean dietary pattern and breast cancer risk in Greek-Cypriot women: a case-control study. BMC Cancer. 2012;12:113.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  67. Castello A, Pollan M, Buijsse B, Ruiz A, Casas AM, Baena-Canada JM, Lope V, Antolin S, Ramos M, Munoz M, et al. Spanish Mediterranean diet and other dietary patterns and breast cancer risk: case-control EpiGEICAM study. Br J Cancer. 2014;111(7):1454–62.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  68. Karimi Z, Jessri M, Houshiar-Rad A, Mirzaei HR, Rashidkhani B. Dietary patterns and breast cancer risk among women. Public Health Nutr. 2014;17(5):1098–106.

    PubMed  Article  PubMed Central  Google Scholar 

  69. Tumas N, Niclis C, Aballay LR, Osella AR, Diaz Mdel P. Traditional dietary pattern of South America is linked to breast cancer: an ongoing case-control study in Argentina. Eur J Nutr. 2014;53(2):557–66.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  70. Mourouti N, Papavagelis C, Plytzanopoulou P, Kontogianni M, Vassilakou T, Malamos N, Linos A, Panagiotakos D. Dietary patterns and breast cancer: a case-control study in women. Eur J Nutr. 2015;54(4):609–17.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  71. Terry P, Suzuki R, Hu FB, Wolk A. A prospective study of major dietary patterns and the risk of breast cancer. Cancer Epidemiol Biomarkers Prev. 2001;10(12):1281–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  72. Sieri S, Krogh V, Pala V, Muti P, Micheli A, Evangelista A, Tagliabue G, Berrino F. Dietary patterns and risk of breast cancer in the ORDET cohort. Cancer Epidemiol. Biomarkers Prev. 2004;13(4):567–72.

    PubMed  PubMed Central  Google Scholar 

  73. Adebamowo CA, Hu FB, Cho E, Spiegelman D, Holmes MD, Willett WC. Dietary patterns and the risk of breast cancer. Ann Epidemiol. 2005;15(10):789–95.

    PubMed  Article  PubMed Central  Google Scholar 

  74. Fung TT, Hu FB, Holmes MD, Rosner BA, Hunter DJ, Colditz GA, Willett WC. Dietary patterns and the risk of postmenopausal breast cancer. Int J Cancer. 2005;116(1):116–21.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  75. Velie EM, Schairer C, Flood A, He JP, Khattree R, Schatzkin A. Empirically derived dietary patterns and risk of postmenopausal breast cancer in a large prospective cohort study. Am J Clin Nutr. 2005;82(6):1308–19.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  76. Agurs-Collins T, Rosenberg L, Makambi K, Palmer JR, Adams-Campbell L. Dietary patterns and breast cancer risk in women participating in the Black Women’s Health Study. Am J Clin Nutr. 2009;90(3):621–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  77. Baglietto L, Krishnan K, Severi G, Hodge A, Brinkman M, English DR, McLean C, Hopper JL, Giles GG. Dietary patterns and risk of breast cancer. Br J Cancer. 2011;104(3):524–31.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  78. Shin S, Saito E, Inoue M, Sawada N, Ishihara J, Takachi R, Nanri A, Shimazu T, Yamaji T, Iwasaki M, et al. Dietary pattern and breast cancer risk in Japanese women: the Japan Public Health Center-based Prospective Study (JPHC Study). Br J Nutr. 2016;115(10):1769–79.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  79. Kojima R, Okada E, Ukawa S, Mori M, Wakai K, Date C, Iso H, Tamakoshi A. Dietary patterns and breast cancer risk in a prospective Japanese study. Breast cancer (Tokyo, Japan). 2017;24(1):152–60.

    Article  Google Scholar 

  80. Muti P, Bradlow HL, Micheli A, Krogh V, Freudenheim JL, Schunemann HJ, Stanulla M, Yang J, Sepkovic DW, Trevisan M, et al. Estrogen metabolism and risk of breast cancer: a prospective study of the 2:16alpha-hydroxyestrone ratio in premenopausal and postmenopausal women. Epidemiology (Cambridge, Mass). 2000;11(6):635–40.

    CAS  Article  Google Scholar 

  81. Rose DP, Komninou D, Stephenson GD. Obesity, adipocytokines, and insulin resistance in breast cancer. Obes Rev. 2004;5(3):153–65.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  82. Key TJ. Endogenous oestrogens and breast cancer risk in premenopausal and postmenopausal women. Steroids. 2011;76(8):812–5.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  83. Steinmetz K, Potter J. Vegetables, fruit, and cancer prevention: a review. J Am Diet Assoc. 1996;96(10):1027–39.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  84. Steinmetz K, Potter J. Vegetables, fruit, and cancer. II. Mechanisms. Cancer Causes Control. 1991;2(6):427–42.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  85. Rose P, Huang Q, Ong CN, Whiteman M. Broccoli and watercress suppress matrix metalloproteinase-9 activity and invasiveness of human MDA-MB-231 breast cancer cells. Toxicol Appl Pharmacol. 2005;209(2):105–13.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  86. Johnson IT. Phytochemicals and cancer. Proc Nutr Soc. 2007;66(2):207–15.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  87. Martin LJ, Li Q, Melnichouk O, Greenberg C, Minkin S, Hislop G, Boyd NF. A randomized trial of dietary intervention for breast cancer prevention. Cancer Res. 2011;71(1):123–33.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  88. Oskar S, Engmann N, Azus A, Tehranifar P. Gestational diabetes, type II diabetes, and mammographic breast density in a U.S. racially diverse population screened for breast cancer. Cancer Causes Control. 2018;29(8):731–6.

    PubMed  Article  PubMed Central  Google Scholar 

  89. Kelsey J. Breast cancer epidemiology: summary and future directions. Epidemiol Rev. 1993;15(1):256–63.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  90. Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L, Willett WC. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999;69(2):243–9.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  91. Newby PK, Weismayer C, Akesson A, Tucker KL, Wolk A. Long-term stability of food patterns identified by use of factor analysis among Swedish women. J Nutr. 2006;136(3):626–33.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

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Acknowledgements

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Funding

This study was supported by the Hong Kong Research Grants Council General Research Fund (14113414), The Chinese University of Hong Kong Office of Research and Knowledge Transfer Services Knowledge Transfer Project Fund (KPF15ICF16), the Li Ka Shing Foundation, and the Shenzhen Science and Technology Planning Project (JCYJ20170306160008504).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Affiliations

  1. Department of Molecular Epidemiology, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China

    Yunjun Xiao, Junjie Xia, Yuebin Ke & Jinquan Cheng

  2. MPH Education Center, Shantou University Medical College, Shantou, Guangdong, China

    Liping Li & Xuefen Su

  3. School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China

    Yaojie Xie

  4. Department of Imaging & Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China

    Winnie Chu

  5. Hong Kong Breast Cancer Foundation, Hong Kong, China

    Polly Cheung

  6. School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China

    Jean Hee Kim

  7. Alvin J. Siteman Cancer Center and Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA

    Graham A. Colditz

  8. Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Rulla M. Tamimi

  9. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA

    Rulla M. Tamimi

Authors
  1. Yunjun Xiao
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  2. Junjie Xia
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  3. Liping Li
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  4. Yuebin Ke
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  6. Yaojie Xie
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  7. Winnie Chu
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  8. Polly Cheung
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  9. Jean Hee Kim
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  10. Graham A. Colditz
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  11. Rulla M. Tamimi
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  12. Xuefen Su
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Contributions

YX and XS conceived of and coordinated the study. YX, JX, YK, and JC searched the literature, extracted and analyzed the data, and drafted the manuscript. LL, YX, WC, PC, JHK, GAC, RMT, and XS interpreted the results, and drafted and revised the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Rulla M. Tamimi or Xuefen Su.

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Additional files

Additional file 1:

PRISMA checklist. (DOC 71 kb)

Additional file 2:

Figure S1. Sensitivity analysis of the associations between a Western dietary pattern and the risk of breast cancer by eliminating one study at a time. (JPG 190 kb)

Additional file 3:

Figure S2. Sensitivity analysis of the associations between a prudent dietary pattern and the risk of breast cancer by eliminating one study at a time. (JPG 190 kb)

Additional file 4:

Figure S3. Funnel plots of associations between a Western dietary pattern and risk of breast cancer. (JPG 34 kb)

Additional file 5:

Figure S4. Funnel plots of associations between a prudent dietary pattern and risk of breast cancer. On the left is the plot before using the trim-and-fill method, and on the right is the plot after using the trim-and-fill method. The boxes represent the filled studies. (JPG 82 kb)

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Xiao, Y., Xia, J., Li, L. et al. Associations between dietary patterns and the risk of breast cancer: a systematic review and meta-analysis of observational studies. Breast Cancer Res 21, 16 (2019). https://doi.org/10.1186/s13058-019-1096-1

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  • DOI: https://doi.org/10.1186/s13058-019-1096-1

Keywords

  • Dietary patterns
  • Breast cancer
  • Observational studies
  • Meta-analysis

Breast Cancer Research

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