Abstract
Purpose
Flavonoids, concentrated in fruits and vegetables, demonstrate in experimental studies chemopreventive properties in relation to Barrett's esophagus (BE), a precursor lesion for esophageal adenocarcinoma. One case-control investigation reported an inverse association between isoflavone intake and odds of BE, yet no epidemiologic study has considered other flavonoid classes, which are more commonly consumed by Americans.
Methods
We examined intake of total flavonoids, six flavonoid classes, and lignans among case-control study participants in western Washington state. Food frequency questionnaires were self-completed by BE cases with specialized intestinal metaplasia (SIM) (n=170) and matched controls (n=183).
Results
In logistic regression models adjusted for age, sex, body mass index, and energy intake, the odds ratio for SIM BE associated with anthocyanidin intake was 0.49 (95% Confidence Interval: 0.30, 0.80, for quartiles 2-4 combined vs. quartile 1), for which wine and fruit juice were major dietary sources. More moderate decreased odds ratios were noted for flavanones, flavonols, isoflavones, and lignans. A modest increased odds ratio was observed for flavones, for which pizza was the main dietary source in our population.
Conclusions
Our findings of an inverse association between anthocyanidins and odds of BE suggests that adequate dietary intake of these compounds may lower risk of this cancer precursor lesion.
Keywords: Barrett's esophagus, diet, epidemiologic studies, flavonoids
Introduction
Over the last two decades, the incidence rate for esophageal adenocarcinoma has been among the most rapidly increasing of any cancer type in the United States (U.S.) [1, 2]. Esophageal adenocarcinoma is thought to arise in Barrett's esophagus (BE), specialized intestinal metaplasia of the lower esophageal epithelium [3]. Studying precursor lesions may provide insight into the etiology of cancer by elucidating risk factors that act early in disease initiation. Epidemiologic studies have shown that diets high in fruit and vegetable intake are inversely associated with odds of BE [4]. Flavonoids, a group of bioactive polyphenolic compounds naturally occurring in fruits, vegetables, and beverages of plant origin, may partially account for the inverse dietary association of fruits and vegetables with BE [5, 6].
Experimental studies support the hypothesis of an inverse association between flavonoid exposure and BE. For example, flavan-3-ol inhibited BE cell growth through down-regulation of cyclin D1 protein expression [7]. Lignans are other polyphenolic compounds that have antioxidant properties, anti-inflammatory and pro-apoptosis effects, and promote cell cycle arrest [8]. One epidemiologic investigation to date has examined the association between dietary flavonoid intake and odds of BE. This Texas case-control study of 151 BE cases, considered one class of flavonoids, isoflavones, and found an inverse association [9]. However, intake of isoflavone-containing foods in the U.S. is limited; whereas the other five flavonoid classes are found in foods more commonly consumed by Americans [10], yet their associations with BE have not been considered.
To determine whether intakes of total flavonoids or specific flavonoid classes are associated with odds of BE, we compared flavonoid intake between patients newly diagnosed with BE and general population controls who participated in a community-based case-control study.
Materials and Methods
To conduct this ancillary study, we built upon resources collected for the Study of Reflux Disease, a case-control investigation conducted in western Washington state [11, 12]. This study was approved by the Institutional Review Boards of the participating institutions.
Study Population
Eligible case participants were men and women, aged 20-80 years without previously diagnosed BE who underwent upper endoscopy for gastroesophageal reflux disease (GERD) symptoms between 1997 and 2000 at community gastroenterology clinics. Consenting participants had four-quadrant biopsy specimens collected. Specimens were evaluated by one of three university-based pathologists, who were blinded to the endoscopy findings. BE was considered present if at least one biopsy specimen had specialized intestinal metaplasia (SIM). Case participants were classified into one, two, or three diagnostic categories indicating disease progression, based on the presence (and length) or absence of visible columnar epithelium [visible BE (VBE)] during endoscopy: 1) SIM (i.e., all cases), 2) SIM and VBE (VBE cases), and 3) SIM and VBE greater than two centimeters [long-segment BE (LSBE) cases]. The first and most inclusive category (SIM cases) adheres to the concept of “ultra-short segment BE” [13]. The latter two categories were selected because they are consistent with the American College of Gastroenterology definition of BE [14], enhancing the clinical relevance of our study results.
Community-based control participants were identified using a modified Waksberg random digit dialing technique [15], which identifies individuals living in the same geographic area as case participants [16]. Controls were matched to cases on age (±3 years) and sex.
In the parent study, SIM was identified in 208 individuals providing biopsy specimens. However, only 193 of these cases successfully completed interviews. Thus, study participants included 193 cases (92.8% of eligible) and 211 community controls (68.7% of eligible) [11]. Of those, 87.4% (170 cases, 183 controls) provided adequate dietary intake information (see Exposure Assessment below) and are the focus of the current report. Their demographic characteristics are shown in Supplementary Table 1.
Exposure Assessment
Information on potential risk factors was obtained by a 45-minute structured questionnaire administered face-to-face by trained interviewers. The time between endoscopy and interview for case participants was 1-2 months. Written informed consent was obtained from each participant prior to interview.
Dietary intake for the one year prior to interview was assessed by a validated self-administered, 131-item food frequency questionnaire (FFQ) [17]. In total, 177 cases (91.7%) and 192 controls (91.0%) completed FFQs. Individuals with estimated total energy intake of <500 or >4,000 kilocalories/day for women or <800 or >5,000 kilocalories/day for men were excluded based on implausible energy intake (7 cases, 9 controls) [12, 18].
Assessment of Dietary Flavonoid Intake
Intakes of total flavonoids, six classes of flavonoids (anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols, and isoflavones), and lignans was estimated from 91 food and beverage FFQ items that contained measureable amounts of flavonoids [19-21]. A study-specific flavonoid database was developed by linking the FFQ data with the 2011 U.S. Department of Agriculture (USDA) Database for the Flavonoid Content of Selected Foods [19] and the 2008 USDA-Iowa State University Database on the Isoflavone Content of Selected Foods [20]. To assess lignan content, specifically secoisolariciresinol and matairesinol, we utilized data from foods consumed by a North American population [21].
Some FFQ items represented groups of foods or beverages. For flavonoid intake calculations, the individual foods and beverages represented in a single item were weighted, based on the relative frequency of consumption in the general American population [17]. For example, the FFQ item of “apples and pears” was assigned a weight of 0.75 for “apples” and 0.25 for “pears.” To calculate the flavonoid intake, the weight assigned to each food in the FFQ item was multiplied by the flavonoid content of that food, summed across all foods in the FFQ item, and then multiplied by the number of times consumed per day and by the serving size [10].
Statistical Analysis
Unconditional logistic regression was used to calculate odds ratios (ORs) and corresponding 95% confidence intervals (CIs) for the association between flavonoid intakes and odds of BE. Conditional logistic regression was also performed on matched pairs of cases and controls [22]. Results were similar; therefore, only unconditional logistic regression results are reported. All analyses were conducted using SAS version 9.2 (SAS Institute, Cary, NC).
Flavonoid intakes were categorized in quartiles, based on the distributions of intakes among the control participants [18]. To examine linear trend, we also utilized restricted quadratic spline coding (Supplementary Figure 1). Tests for linear trends were based on continuous flavonoid values in mg/day.
Effect measure modification by cigarette smoking (evaluated as continuous pack-years and as dichotomous, ever/never) and body mass index (BMI, kg/m2) at interview (evaluated as continuous and as dichotomous, <25 or ≥25 kg/m2) was assessed using likelihood ratio tests to compare regression models with and without a multiplicative term [22]; there was no evidence of effect measure modification by either covariate (p≥0.05) on the association between total flavonoid intake and BE in any of the models.
Potential confounders included BMI (evaluated as continuous and as dichotomous, <25 or ≥25 kg/m2), race (white, other), income (<$45,000, ≥$45,000-74,999, ≥$75,000), education (≤high school, technical school, ≥college), and cigarette smoking (evaluated as ever/never and continuous pack-years). If variable elimination changed the log odds ratio by ≥10%, the variable was considered a confounder and included in the model [22]; only BMI met this criterion. Total energy intake was included for adjustment on an a priori basis [23]. Thus, the final models included BMI (continuous), total energy intake (kilocalories, continuous), and the matching factors age (continuous) and sex.
To determine whether associations with flavonoids varied by diagnostic category, BE patients were categorized into progressively more exclusive groups by segment length [13] and then each case subgroup was compared to all controls. To explore the threshold associations seen in restricted quadratic splines (Supplementary Figure 1), we dichotomized exposures and compared the bottom quartile versus the upper three quartiles.
Sensitivity Analysis
The USDA Flavonoid Database assigns a value of 7.39 mg/100 g of banana for anthocyanidins [19], which is controversial [24]. We therefore conducted a sensitivity analysis excluding the anthocyanidin value for bananas, which did not substantially alter our results (Supplementary Tables 2-5).
Results
As shown in Table 1 for this western Washington study population, control participants consumed similar amounts of total flavonoids (median=75.37 mg/day) as BE case participants (median=75.55 mg/day). However, control participants consumed a smaller dietary intake of flavan-3-ols (median=17.35 mg/day), which were the largest contributor to total flavonoid intake, than case participants (median=25.56 mg/day).
Table 1.
Controls (N=183) | Cases (N=170) | ||||||
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Mean | Standard Deviation | Range | Mean | Standard Deviation | Range | p-value* | |
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Total Flavonoids | 125.03 | 123.10 | 5.83-819.34 | 123.55 | 134.39 | 10.52-707.45 | 0.91 |
Anthocyanidins | 13.84 | 10.67 | 0.29-55.42 | 13.47 | 13.15 | 0.36-85.19 | 0.79 |
Flavan-3-ols | 73.01 | 114.23 | 1.71-739.93 | 78.06 | 125.34 | 1.85-659.00 | 0.69 |
Flavanones | 21.97 | 26.08 | 0.01-143.37 | 17.20 | 21.62 | 0.02-146.23 | 0.06 |
Flavones | 2.19 | 1.56 | 0.19-11.69 | 2.15 | 1.19 | 0.13-6.68 | 0.79 |
Flavonols | 11.89 | 6.63 | 1.74-42.60 | 11.47 | 6.87 | 2.04-39.00 | 0.57 |
Isoflavones | 2.14 | 5.90 | 0.02-55.18 | 1.20 | 2.55 | 0.04-19.95 | 0.05 |
Lignans | 0.056 | 0.029 | 0.011-0.160 | 0.051 | 0.030 | 0.009-0.176 | 0.11 |
T-test comparing the means of cases and controls.
Table 2 lists the major sources of flavonoids among the control participants. For total flavonoids, 47.2% of mean intake was from black tea (58.96 mg/day), 12.2% from orange/grapefruit juice (15.31 mg/day), and 6.8% from wine (8.48 mg/day). Black tea contains flavan-3-ols, flavonols, and lignans; orange/grapefruit juice contains flavanones, flavonols, isoflavones, and lignans; and wine contains anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols, and lignans.
Table 2.
Flavonoid/Phytoestrogen Class | Representative Flavonoids | Main FFQ* Line Item Sources (%) |
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Total Flavonoids | Black tea (47.2), orange/grapefruit juice (12.2), wine (6.8), oranges/grapefruit (4.7), apples/pears (3.5), bananas (3.0) | |
Anthocyanidins | Cyanidin, Delphinidin, Malvidin, Pelargonidin, Peonidin, Petunidin | Wine (31.2), bananas (14.8), fruit juice (11.3), fruit cocktail/applesauce (8.5), strawberries/kiwi (8.0), apples/pears (7.6), bean soups (5.5) |
Flavan-3-ols | (+)-Catechin, (+)-Catechin-3-gallate, (-)-Epicatechin, (-)-Epicatechin-3-gallate, (-)-Epigallocatechin, (-)-Epigallocatechin-3-gallate, (+)-Gallocatechin, (+)-Gallocatechin-3-gallate, Theaflavin, Theaflavin-3-gallate, Theaflavin-3′-gallate, Theaflavin-3,3′-digallate, Thearubigins | Black tea (78.2), green tea (3.5), wine (3.3), apples/pears (3.0), beer (2.7), bananas (2.3) |
Flavanones | Eriodictyol, Hesperetin, Naringenin | Orange/grapefruit juice (68.6), oranges/grapefruit (26.3), wine (2.8) |
Flavones | Apigenin, Luteolin | Pizza (38.4), wine (12.4), vegetable soup (8.0), cream soup (6.8), mixed salad (6.1) |
Flavonols | Isorhamnetin, Kaempferol, Myricetin, Quercetin | Black tea (15.6), onions (11.0), apples/pears (9.4), wine (7.2), mixed salad (5.9), beer (5.7) |
Isoflavones | Daidzein, Genistein, Glycitein | Tofu (76.5), coffee (5.9), chili with beans (5.7), milk (5.2) |
Lignans | Matairesinol, Secoisolariciresinol | Coffee (31.0), wine (12.6), orange/grapefruit juice (9.4), onions (3.8), peanuts (3.7), black tea (3.5) |
FFQ: Food frequency questionnaire.
Odds of BE was modestly reduced in relation to intake of anthocyanidins (highest versus lowest quartile of intake, OR=0.59, 95% CI=0.31-1.12), flavanones (OR=0.71, 95% CI=0.37-1.35), flavonols (OR=0.89, 95% CI=0.47-1.69), isoflavones (OR=0.68, 95% CI=0.34-1.36), and lignans (OR=0.64, 95% CI=0.32-1.26), but the confidence intervals were wide and included the null (Table 3). In contrast, there was little or no association between total flavonoids (OR=1.09, 95% CI=0.56-2.11) or flavan-3-ols (OR=0.88, 95% CI=0.45-1.71) and odds of BE. A modest increased odds of BE was observed for flavones (OR=1.26, 95% CI=0.63-2.52).
Table 3.
Variable and intake (mg/day) | Controls (N=183) | Cases (N=170) | OR | 95% CI |
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Total Flavonoids | ||||
0-42.38 | 46 | 44 | 1.00 | |
42.39-75.36 | 46 | 41 | 1.10 | 0.59, 2.08 |
75.37-166.98 | 45 | 46 | 1.37 | 0.73, 2.58 |
≥166.99 | 46 | 39 | 1.09 | 0.56, 2.11 |
P for trend† | 0.81 | |||
Anthocyanidins | ||||
0-6.12 | 46 | 64 | 1.00 | |
6.13-9.82 | 45 | 24 | 0.33 | 0.17, 0.63 |
9.83-18.26 | 47 | 46 | 0.58 | 0.32, 1.06 |
≥18.27 | 45 | 36 | 0.59 | 0.31, 1.12 |
P for trend† | 0.91 | |||
Flavan-3-ols | ||||
0-9.50 | 45 | 44 | 1.00 | |
9.51-17.35 | 46 | 22 | 0.51 | 0.25, 1.03 |
17.36-107.34 | 46 | 70 | 1.78 | 0.98, 3.23 |
≥107.35 | 46 | 34 | 0.88 | 0.45, 1.71 |
P for trend† | 0.54 | |||
Flavanones | ||||
0-3.80 | 45 | 55 | 1.00 | |
3.81-12.90 | 47 | 41 | 0.71 | 0.39, 1.32 |
12.91-29.64 | 46 | 41 | 0.81 | 0.44, 1.48 |
≥29.65 | 45 | 33 | 0.71 | 0.37, 1.35 |
P for trend† | 0.27 | |||
Flavones | ||||
0-1.15 | 46 | 37 | 1.00 | |
1.16-1.88 | 46 | 39 | 1.10 | 0.57, 2.13 |
1.89-2.82 | 45 | 49 | 1.46 | 0.75, 2.85 |
≥2.83 | 46 | 45 | 1.26 | 0.63, 2.52 |
P for trend† | 0.61 | |||
Flavonols | ||||
0-6.99 | 46 | 52 | 1.00 | |
7.00-10.86 | 46 | 44 | 0.83 | 0.45, 1.53 |
10.87-14.89 | 46 | 28 | 0.60 | 0.31, 1.16 |
≥14.90 | 45 | 46 | 0.89 | 0.47, 1.69 |
P for trend† | 0.50 | |||
Isoflavones | ||||
0-0.24 | 46 | 41 | 1.00 | |
0.25-0.52 | 45 | 56 | 1.22 | 0.65, 2.29 |
0.53-1.16 | 47 | 39 | 0.82 | 0.42, 1.60 |
≥1.17 | 45 | 34 | 0.68 | 0.34, 1.36 |
P for trend† | 0.09 | |||
Lignans | ||||
0-0.033 | 45 | 53 | 1.00 | |
0.034-0.051 | 46 | 52 | 0.91 | 0.50, 1.67 |
0.052-0.070 | 46 | 28 | 0.46 | 0.22, 0.94 |
≥0.071 | 46 | 37 | 0.64 | 0.32, 1.26 |
P for trend† | 0.15 |
Adjusted for age (continuous), sex, body mass index (continuous), and kilocalories (continuous).
P-value for trend for continuous variable.
As presented in Table 4, the strength of inverse associations between flavonoid intake and BE appeared to increase with increasing disease specificity. For example, comparing the upper three quartiles to the bottom one, the odds ratio for the association with anthocyanidin intake (for which wine, bananas and fruit juice were the major dietary sources) was reduced by 51% for SIM (which includes all cases, OR=0.49, 95% CI=0.30-0.80), by 44% for VBE (OR=0.56, 95% CI=0.31-1.02), and by 56% for LSBE (OR=0.44, 95% CI=0.21-0.92). The corresponding odds reductions were similarly pronounced for LSBE and flavanones (OR=0.49, 95% CI=0.24-1.00) and flavonols (OR=0.53, 95% CI=0.24-1.17), but included the null value.
Table 4.
Clinical SIM† | Clinical VBE† | Clinical LSBE† | |||||||||||
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Variable and intake (mg/day) | Controls (N=183) | Cases (N=170) | OR | 95% CI | P for trend‡ | Cases (N=86) | OR | 95% CI | P for trend‡ | Cases (N=48) | OR | 95% CI | P for trend‡ |
Total Flavonoids | |||||||||||||
0-42.38 | 46 | 44 | 1.00 | 25 | 1.00 | 16 | 1.00 | ||||||
≥42.39 | 137 | 126 | 1.19 | 0.70, 2.01 | 0.81 | 61 | 0.93 | 0.50, 1.73 | 0.97 | 32 | 0.71 | 0.33, 1.52 | 0.70 |
Anthocyanidins | |||||||||||||
0-6.12 | 46 | 64 | 1.00 | 31 | 1.00 | 20 | 1.00 | ||||||
≥6.13 | 137 | 106 | 0.49 | 0.30, 0.80 | 0.91 | 55 | 0.56 | 0.31, 1.02 | 0.45 | 28 | 0.44 | 0.21, 0.92 | 0.67 |
Flavan-3-ols | |||||||||||||
0-9.50 | 45 | 44 | 1.00 | 20 | 1.00 | 15 | 1.00 | ||||||
≥9.51 | 138 | 126 | 1.06 | 0.63, 1.78 | 0.54 | 66 | 1.21 | 0.63, 2.32 | 0.81 | 33 | 0.75 | 0.35, 1.60 | 0.95 |
Flavanones | |||||||||||||
0-3.80 | 45 | 55 | 1.00 | 31 | 1.00 | 20 | 1.00 | ||||||
≥3.81 | 138 | 115 | 0.74 | 0.45, 1.22 | 0.27 | 55 | 0.55 | 0.31, 0.99 | 0.38 | 28 | 0.49 | 0.24, 1.00 | 0.12 |
Flavones | |||||||||||||
0-1.15 | 46 | 37 | 1.00 | 20 | 1.00 | 10 | 1.00 | ||||||
≥1.16 | 137 | 133 | 1.25 | 0.71, 2.20 | 0.61 | 66 | 1.11 | 0.56, 2.19 | 0.42 | 38 | 1.66 | 0.67, 4.15 | 0.96 |
Flavonols | |||||||||||||
0-6.99 | 46 | 52 | 1.00 | 29 | 1.00 | 17 | 1.00 | ||||||
≥7.00 | 137 | 118 | 0.77 | 0.46, 1.30 | 0.50 | 57 | 0.59 | 0.31, 1.10 | 0.48 | 31 | 0.53 | 0.24, 1.17 | 0.63 |
Isoflavones | |||||||||||||
0-0.24 | 46 | 41 | 1.00 | 20 | 1.00 | 9 | 1.00 | ||||||
≥0.25 | 137 | 129 | 0.92 | 0.53, 1.60 | 0.09 | 66 | 0.82 | 0.41, 1.61 | 0.35 | 39 | 0.98 | 0.40, 2.42 | 0.30 |
Lignans | |||||||||||||
0-0.033 | 45 | 53 | 1.00 | 24 | 1.00 | 10 | 1.00 | ||||||
≥0.034 | 138 | 117 | 0.71 | 0.41, 1.21 | 0.15 | 62 | 0.80 | 0.42, 1.54 | 0.13 | 38 | 1.35 | 0.56, 3.26 | 0.52 |
Adjusted for age (continuous), sex, body mass index (continuous), and kilocalories (continuous).
Barrett's esophagus segment length categories are non-mutually exclusive groups. SIM: Specialized intestinal metaplasia (i.e., all cases), VBE: visible Barrett's esophagus (i.e., SIM with VBE), LSBE: long-segment Barrett's esophagus (i.e., SIM with VBE greater than two centimeters).
P-value for trend for continuous variable.
Discussion
This is the first epidemiologic study to examine the association between total and all classes of flavonoid and lignan intakes and odds of BE. In our analysis, we found modest, imprecise decreases in the odds ratios with increasing intakes of anthocyanidins, flavanones, flavonols, isoflavones, and lignans when all BE stages were considered together. While we did not observe a significant trend, the inverse associations for anthocyanidins, flavanones, and flavonols were slightly more pronounced when we considered segment length. For example, odds reductions ranged from 47 to 56% for LSBE in relation to these flavonoid classes.
Our findings are consistent with the one previous epidemiologic study that found a decreased odds of BE associated with dietary isoflavone intake [9]. Foods containing high levels of isoflavones are infrequently consumed in the U.S. [10], which is consistent with reports from our study population (Table 1). In our study we observed a suggested odds reduction for BE in relation to anthocyanidin intake. Our findings are consistent with interim clinical trial results that found reduced markers of oxidative stress in BE patients consuming anthocyanidin-rich freeze-dried black raspberries [25].
BE is a potential precursor lesion of esophageal adenocarcinoma, thus risk factors for this lesion could be involved in tumor initiation or promotion, whereas factors associated with tumor invasion should be more closely involved in cancer progression [26]. Our finding of a possible inverse association between anthocyanidin intake and BE is consistent with two previous studies of esophageal adenocarcinoma conducted in the U.S. [27, 28] that found a significant decrease in odds of invasive cancer associated with increased anthocyanidin intake. These observations suggest that anthocyanidin may play a role in both initiation and progression of esophageal adenocarcinoma. Flavanones [28], flavonols [28], isoflavones [27], and lignans [28] have also been associated with a decreased odds of invasive esophageal adenocarcinoma, but the literature is not consistent.
In this study, we observed possible odds reductions for the associations between anthocyanidins, flavanones, and flavonols in relation to all diagnostic BE categories. Importantly, BE segment length is related to esophageal adenocarcinoma risk [29]. However, our study population included a limited number of patients with VBE or LSBE. Because of data sparseness when we examined associations with the case participants categorized by segment length and potential threshold effects seen in the main analysis (Table 3), we grouped flavonoid intake into two categories, rather than four [22]. Categorization of flavonoid exposures into two categories for the segment length analysis was conducted after examining the spline analysis by collapsing quartiles 2-4 versus quartile 1. Therefore, results from these subgroup analyses should be interpreted with caution. While these data were collapsed due to potential threshold effects, another possibility is that significant trends could be masked due to misclassification error. Thus, more studies are needed to determine if these associations are due to threshold effects or misclassification errors.
Our findings do not support an inverse association between total flavonoid intake or flavan-3-ol intake and odds of BE. Additionally, a modest increased odds of BE was observed for flavones. These results are at odds with experimental studies that have shown flavan-3-ols and flavones to have important chemopreventive effects against BE [7, 30]. However, it is important to note that these experimental studies administered pure flavonoids derived from plants – green tea and Dysoxylum binectariferum; whereas, our study utilized dietary intake of flavonoids from various foods and beverages. We found that the main sources of flavan-3-ols and flavones in our study population were black tea and pizza, respectively. Thus, our observation of an increased odds of BE associated with flavone intake may be confounded by other dietary habits and lifestyle choices linked to high pizza intake.
A recent report used data from the same parent study as we do here, and found an inverse association between fruit and vegetable intake and BE [12]. Flavonoids are concentrated in fruits and vegetables [31]; therefore, flavonoid intake may be a marker for some other factor associated with a healthy diet and lifestyle, rather than act as a causative factor itself [12]. The parent study assessed a number of relevant lifestyle factors, including cigarette smoking, alcohol intake, and BMI [11]; however, in our ancillary study, BMI was the only covariate that influenced our results and was included in the final adjusted models.
A potential source of error in estimating flavonoid content in food, especially in fruits and vegetables, is the variability of environmental conditions, horticultural practices, degree of ripeness, plant variety, storage conditions, industrial processing, and cooking methods, all of which may vary regionally and over time [19, 20, 31]. Organically and sustainably grown foods, compared to those produced by conventional methods, also have higher polyphenol concentrations [32]. Thus, food items reportedly consumed by this study population may differ from the foods utilized to create the estimates included in the databases [19-21]. To estimate the impact such influences, the USDA Food Composition and Nutrient Data Laboratories determined the flavonoid content for more than 60 fruits, vegetables, and nuts by sampling foods from four U.S. regions during two seasons of the year. While flavonoid content variability was high within and between foods, the average flavonoid content was similar to values reported in the USDA databases [33]. Additionally, the FFQ line item for wine did not distinguish between red and white wine, which have different concentrations of flavonoids. Therefore, the FFQ assigned the weight for the wine line item as 50% white wine and 50% red wine, based on the relative frequency of consumption in the general American population. However, individuals often preferentially drink white or red wine. Thus, individual participant's estimates of flavonoid classes for which wine is a source may have some degree of misclassification.
Another potential source of error in estimating an association between flavonoid intake and odds of BE is the bioavailability of flavonoid compounds. Little is known about the absorption of flavonoids in the body, and metabolism of flavonoids varies by individual [34]. Additionally, currently measured flavonoid biomarkers are of limited usefulness in epidemiologic studies because of the variation in absorption profiles, with maximum concentrations reached between 0.5-9 hours after dietary intake [34]. Thus, these biomarkers may not be highly correlated with usual adult dietary intake, which is the target exposure for cancer etiology studies, including studies of precursor lesions. While variation in dietary flavonoid content and flavonoid bioavailability may be a study limitation, it is a common limitation for all studies that rely on nutritional databases to estimate dietary intakes [18].
Patients with GERD symptoms are recommended to omit foods that are chemically or mechanically irritating [35]; therefore, BE patients may have already made changes to their usual diets by the time of FFQ administration. Foods that are irritating vary by individual [36], so we are unable to determine how such potential changes in diet could have affected our flavonoid intake estimates. While some flavonoid-containing foods may be recommended for GERD patients to avoid (e.g., coffee, tea, alcohol, citrus, tomatoes, chocolate, peppers, and onions), one dietary study showed that intakes of fruits, vegetables, and alcohol did not differ by symptomatic GERD status [37]. As all cases in this study had GERD, it is still possible that the association between BE and flavonoid intake is due to reverse causation.
For a FFQ, assessing diet for the year prior to diagnosis is a standard time interval, as it does not require extensive recall [18]. Responses are assumed to reflect usual adult diet. Whether the time period assessed accurately reflects intakes during the time relevant to BE development is unknown. However, because all existing studies conducted among BE patients have relied on a FFQ [12, 38, 39], a cohort study would be required, with employment of multiple alternative dietary assessment methods repeatedly over time, to overcome the limitations of existing studies. Such an alternative study design would be inefficient, because only 10-15% of symptomatic GERD patients develop BE in their lifetime [40].
Our study FFQ did not assess dietary supplement use. Clinical studies of flavonoid supplements began in the early 1990s [41], and a U.S. patent was granted for Ginkgo biloba extract, EGb 761, in 1995 [42]. Thus, it is unlikely that use was widespread during this study time period.
The difference that we observed in mean intake of total flavonoids between case and control participants was minimal, roughly equivalent to half of a medium apple per week. However, absolute differences in dietary flavonoid intakes need to be interpreted with caution, as a FFQ was utilized to collect relative, not absolute, dietary information. While FFQs have acknowledged measurement errors, they are useful for ranking individuals' dietary intake relative to one another, which was our primary objective [18].
In summary, our finding of modest inverse associations between anthocyanidins, flavanones and flavonols in relation to BE suggests that dietary intake of these compounds may lower the odds of this precursor lesion. Our findings here, particularly with regard to anthocyanidins, are consistent with our results for esophageal adenocarcinoma [28], suggesting that these compounds could potentially be used across the BE-esophageal adenocarcinoma continuum in an effort to reduce mortality due to these fatal cancers. This is the first epidemiologic study to examine the association between the six flavonoid classes, total flavonoids and lignans and BE; therefore, further research is needed before definite conclusions can be made about the role of dietary flavonoids and lignans in relation to odds of BE.
Supplementary Material
Acknowledgments
Funding: This research was supported in part by grants from the National Institutes of Health (R03CA159409-02, T32CA009330-25, T32ES007018, P30ES10126, R01CA72866).
Thank-you to: Eric Meier, Lynn Onstad, and Patricia Christopherson from the Fred Hutchison Cancer Research Center for their help in providing data and food frequency questionnaire expertise.
Abbreviations
- BE
Barrett's esophagus
- CI
confidence interval
- FFQ
food frequency questionnaire
- GERD
gastroesophageal reflux disease
- LSBE
long-segment Barrett's esophagus
- OR
odds ratio
- SIM
specialized intestinal metaplasia
- U.S.
United States
- USDA
United States Department of Agriculture
- VBE
visible Barrett's esophagus
Footnotes
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References
- 1.Devesa SS, Blot WJ, Fraumeni JF., Jr Changing patterns in the incidence of esophageal and gastric carcinoma in the United States. Cancer. 1998 Nov 15;83(10):2049–53. [PubMed] [Google Scholar]
- 2.Simard EP, Ward EM, Siegel R, Jemal A. Cancers with increasing incidence trends in the United States: 1999 through 2008. CA Cancer J Clin. 2012 Jan 4; doi: 10.3322/caac.20141. [DOI] [PubMed] [Google Scholar]
- 3.Sharma P, McQuaid K, Dent J, Fennerty MB, Sampliner R, Spechler S, et al. A critical review of the diagnosis and management of Barrett's esophagus: the AGA Chicago Workshop. Gastroenterology. 2004 Jul;127(1):310–30. doi: 10.1053/j.gastro.2004.04.010. [DOI] [PubMed] [Google Scholar]
- 4.Kubo A, Corley DA, Jensen CD, Kaur R. Dietary factors and the risks of oesophageal adenocarcinoma and Barrett's oesophagus. Nutrition research reviews. 2010 Dec;23(2):230–46. doi: 10.1017/S0954422410000132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pierini R, Kroon PA, Guyot S, Ivory K, Johnson IT, Belshaw NJ. Procyanidin effects on oesophageal adenocarcinoma cells strongly depend on flavan-3-ol degree of polymerization. Mol Nutr Food Res. 2008 Dec;52(12):1399–407. doi: 10.1002/mnfr.200700513. [DOI] [PubMed] [Google Scholar]
- 6.Mehta S, Johnson IT, Rhodes M. Systematic review: the chemoprevention of oesophageal adenocarcinoma. Alimentary pharmacology & therapeutics. 2005 Nov 1;22(9):759–68. doi: 10.1111/j.1365-2036.2005.02667.x. [DOI] [PubMed] [Google Scholar]
- 7.Song S, Krishnan K, Liu K, Bresalier RS. Polyphenon E inhibits the growth of human Barrett's and aerodigestive adenocarcinoma cells by suppressing cyclin D1 expression. Clin Cancer Res. 2009 Jan 15;15(2):622–31. doi: 10.1158/1078-0432.CCR-08-0772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Huang WY, Cai YZ, Zhang Y. Natural phenolic compounds from medicinal herbs and dietary plants: potential use for cancer prevention. Nutr Cancer. 2010;62(1):1–20. doi: 10.1080/01635580903191585. [DOI] [PubMed] [Google Scholar]
- 9.Jiao L, Kramer JR, Rugge M, Parente P, Verstovsek G, Alsarraj A, et al. Dietary intake of vegetables, folate, and antioxidants and the risk of Barrett's esophagus. Cancer Causes Control. 2013 May;24(5):1005–14. doi: 10.1007/s10552-013-0175-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fink BN, Steck SE, Wolff MS, Kabat GC, Gammon MD. Construction of a flavonoid database for assessing intake in a population-based sample of women on Long Island, New York. Nutr Cancer. 2006;56(1):57–66. doi: 10.1207/s15327914nc5601_8. [DOI] [PubMed] [Google Scholar]
- 11.Edelstein ZR, Farrow DC, Bronner MP, Rosen SN, Vaughan TL. Central adiposity and risk of Barrett's esophagus. Gastroenterology. 2007 Aug;133(2):403–11. doi: 10.1053/j.gastro.2007.05.026. [DOI] [PubMed] [Google Scholar]
- 12.Thompson OM, Beresford SA, Kirk EA, Vaughan TL. Vegetable and fruit intakes and risk of Barrett's esophagus in men and women. Am J Clin Nutr. 2009 Mar;89(3):890–6. doi: 10.3945/ajcn.2008.26497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mueller J, Werner M, Stolte M. Barrett's esophagus: histopathologic definitions and diagnostic criteria. World J Surg. 2004 Feb;28(2):148–54. doi: 10.1007/s00268-003-7050-4. [DOI] [PubMed] [Google Scholar]
- 14.Sampliner RE. Updated guidelines for the diagnosis, surveillance, and therapy of Barrett's esophagus. Am J Gastroenterol. 2002 Aug;97(8):1888–95. doi: 10.1111/j.1572-0241.2002.05910.x. [DOI] [PubMed] [Google Scholar]
- 15.Waksberg J. Sampling methods for random digit dialing. J Am Stat Assoc. 1978;73:40–6. [Google Scholar]
- 16.Voigt LF, Davis S, Koepsell TD. Do cases and controls matched on the first eight digits of their telephone number share geographic proximity and socioeconomic characteristics? Ann Epidemiol. 2006 Apr;16(4):299–304. doi: 10.1016/j.annepidem.2005.06.050. [DOI] [PubMed] [Google Scholar]
- 17.Kristal AR, Feng Z, Coates RJ, Oberman A, George V. Associations of race/ethnicity, education, and dietary intervention with the validity and reliability of a food frequency questionnaire: the Women's Health Trial Feasibility Study in Minority Populations. American journal of epidemiology. 1997 Nov 15;146(10):856–69. doi: 10.1093/oxfordjournals.aje.a009203. [DOI] [PubMed] [Google Scholar]
- 18.Willett W. Nutritional epidemiology. Third edition. Oxford; New York: Oxford University Press; 2012. p. ix, 529. [Google Scholar]
- 19.Bhagwat S, Haytowitz DB, Holden JM U.S. Department of Agriculture, Agricultural Research Service. USDA Database for the Flavonoid Content of Selected Foods, Release 3.0. 2011 Available from: http://www.ars.usda.gov/SP2UserFiles/Place/80400525/Data/Flav/Flav_R03.pdf.
- 20.Bhagwat S, Haytowitz DB, Holden JM. USDA Database for the Isoflavone Content of Selected Foods, Release 2.0. 2008. 2008 Available from: http://www.ars.usda.gov/SP2UserFiles/Place/80400525/Data/isoflav/Isoflav_R2.pdf.
- 21.Thompson LU, Boucher BA, Liu Z, Cotterchio M, Kreiger N. Phytoestrogen content of foods consumed in Canada, including isoflavones, lignans, and coumestan. Nutr Cancer. 2006;54(2):184–201. doi: 10.1207/s15327914nc5402_5. [DOI] [PubMed] [Google Scholar]
- 22.Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008. p. x, 758. [Google Scholar]
- 23.Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. The American journal of clinical nutrition. 1997 Apr;65(4 Suppl):1220S–8S. doi: 10.1093/ajcn/65.4.1220S. discussion 9S-31S. [DOI] [PubMed] [Google Scholar]
- 24.Drossard C, Frohling B, Dietrich H, Kersting M. Anthocyanin analysis in banana fruit--a mistake. The American journal of clinical nutrition. 2011 Apr;93(4):865–6. doi: 10.3945/ajcn.110.010454. author reply 6-7. [DOI] [PubMed] [Google Scholar]
- 25.Kresty LA, Frankel WL, Hammond CD, Baird ME, Mele JM, Stoner GD, et al. Transitioning from preclinical to clinical chemopreventive assessments of lyophilized black raspberries: interim results show berries modulate markers of oxidative stress in Barrett's esophagus patients. Nutr Cancer. 2006;54(1):148–56. doi: 10.1207/s15327914nc5401_15. [DOI] [PubMed] [Google Scholar]
- 26.Farber E. Cancer development and its natural history. A cancer prevention perspective. Cancer. 1988 Oct 15;62(8 Suppl):1676–9. doi: 10.1002/1097-0142(19881015)62:1+<1676::aid-cncr2820621303>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
- 27.Bobe G, Peterson JJ, Gridley G, Hyer M, Dwyer JT, Brown LM. Flavonoid consumption and esophageal cancer among black and white men in the United States. Int J Cancer. 2009 Sep 1;125(5):1147–54. doi: 10.1002/ijc.24421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Petrick JL, Steck SE, Bradshaw PT, Trivers KF, Abrahamson PE, Engel LS, et al. Dietary intake of flavonoids and oesophageal and gastric cancer: incidence and survival in the United States of America (USA) British journal of cancer. 2015;112(Suppl 1):1291–300. doi: 10.1038/bjc.2015.25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Schottenfeld D, Fraumeni JF. Cancer epidemiology and prevention. 3rd. Oxford; New York: Oxford University Press; 2006. p. xviii, 1392. [Google Scholar]
- 30.Lechpammer M, Xu X, Ellis FH, Bhattacharaya N, Shapiro GI, Loda M. Flavopiridol reduces malignant transformation of the esophageal mucosa in p27 knockout mice. Oncogene. 2005 Mar 3;24(10):1683–8. doi: 10.1038/sj.onc.1208375. [DOI] [PubMed] [Google Scholar]
- 31.D'Archivio M, Filesi C, Di Benedetto R, Gargiulo R, Giovannini C, Masella R. Polyphenols, dietary sources and bioavailability. Annali dell'Istituto superiore di sanita. 2007;43(4):348–61. [PubMed] [Google Scholar]
- 32.Asami DK, Hong YJ, Barrett DM, Mitchell AE. Comparison of the total phenolic and ascorbic acid content of freeze-dried and air-dried marionberry, strawberry, and corn grown using conventional, organic, and sustainable agricultural practices. J Agric Food Chem. 2003 Feb 26;51(5):1237–41. doi: 10.1021/jf020635c. [DOI] [PubMed] [Google Scholar]
- 33.Harnly JM, Doherty RF, Beecher GR, Holden JM, Haytowitz DB, Bhagwat S, et al. Flavonoid content of U.S. fruits, vegetables, and nuts. J Agric Food Chem. 2006 Dec 27;54(26):9966–77. doi: 10.1021/jf061478a. [DOI] [PubMed] [Google Scholar]
- 34.Spencer JP, Abd El Mohsen MM, Minihane AM, Mathers JC. Biomarkers of the intake of dietary polyphenols: strengths, limitations and application in nutrition research. Br J Nutr. 2008 Jan;99(1):12–22. doi: 10.1017/S0007114507798938. [DOI] [PubMed] [Google Scholar]
- 35.Ko AH, Dollinger M, Rosenbaum EH. Everyone's guide to cancer therapy: how cancer is diagnosed, treated, and managed day to day. Rev. 5th. Kansas City: Andrews McMeel Pub.; 2008. p. xxxv, 988. [Google Scholar]
- 36.Brown JE. Nutrition through the life cycle. 3rd. Belmont, CA: Thomson/Wadsworth; 2008. p. xx, 517, [34]. [Google Scholar]
- 37.El-Serag HB, Satia JA, Rabeneck L. Dietary intake and the risk of gastro-oesophageal reflux disease: a cross sectional study in volunteers. Gut. 2005 Jan;54(1):11–7. doi: 10.1136/gut.2004.040337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Anderson LA, Watson RG, Murphy SJ, Johnston BT, Comber H, Mc Guigan J, et al. Risk factors for Barrett's oesophagus and oesophageal adenocarcinoma: results from the FINBAR study. World J Gastroenterol. 2007 Mar 14;13(10):1585–94. doi: 10.3748/wjg.v13.i10.1585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kubo A, Levin TR, Block G, Rumore GJ, Quesenberry CP, Jr, Buffler P, et al. Dietary antioxidants, fruits, and vegetables and the risk of Barrett's esophagus. Am J Gastroenterol. 2008 Jul;103(7):1614–23. doi: 10.1111/j.1572-0241.2008.01838.x. quiz 24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Clouston AD. Timely topic: Premalignant lesions associated with adenocarcinoma of the upper gastrointestinal tract. Pathology. 2001 Aug;33(3):271–7. doi: 10.1080/00313020120070830. [DOI] [PubMed] [Google Scholar]
- 41.EGb 761: ginkgo biloba extract, Ginkor. Drugs R D. 2003;4(3):188–93. doi: 10.2165/00126839-200304030-00009. [DOI] [PubMed] [Google Scholar]
- 42.U.S. Patent Office. Extract from Ginkgo biloba leaves, its method of preparation and pharmaceuticals containing the extract. [Accessed July 9, 2013]; http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=5,399,348.PN.&OS=PN/5,399,348&RS=PN/5,399,348.
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