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Review

Intake of Dietary One-Carbon Metabolism-Related B Vitamins and the Risk of Esophageal Cancer: A Dose-Response Meta-Analysis

by
Yuzhen Qiang
1,†,
Qianwen Li
1,†,
Yongjuan Xin
1,
Xuexian Fang
2,
Yongmei Tian
1,
Jifei Ma
1,
Jianyao Wang
1,
Qingqing Wang
1,
Ruochen Zhang
1,
Junhao Wang
1 and
Fudi Wang
1,2,*
1
Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
2
Institute of Nutrition and Food Safety, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2018, 10(7), 835; https://doi.org/10.3390/nu10070835
Submission received: 11 May 2018 / Revised: 24 June 2018 / Accepted: 25 June 2018 / Published: 27 June 2018
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Abstract

:
Several B vitamins are essential in the one-carbon metabolism pathway, which is central to DNA methylation, synthesis, and repair. Moreover, an imbalance in this pathway has been linked to certain types of cancers. Here, we performed a meta-analysis in order to investigate the relationship between the intake of four dietary one-carbon metabolism-related B vitamins (B2, B6, folate, and B12) and the risk of esophageal cancer (EC). We searched PubMed, Web of Science, and Embase for relevant studies published through 1 March 2018. The odds ratio (OR) with 95% confidence interval (CI) for the highest versus the lowest level of each dietary B vitamin was then calculated. From 21 articles reporting 26 studies including 6404 EC cases and 504,550 controls, we found an inverse correlation between the consumption of vitamin B6 and folate and the risk of EC; this association was specific to the US, Europe, and Australia, but was not found in Asia. A dose-response analysis revealed that each 100 μg/day increase in folate intake reduced the risk of EC by 12%. Moreover, each 1 mg/day increase in vitamin B6 intake decreased the risk of EC by 16%. Surprisingly, we found that each 1 μg/day increase in vitamin B12 intake increased the risk of esophageal adenocarcinoma by 2%, particularly in the US and Europe, suggesting both geographic and histological differences. Together, our results suggest that an increased intake of one-carbon metabolism-related B vitamins may protect against EC, with the exception of vitamin B12, which should be consumed in moderation.

1. Introduction

Esophageal cancer (EC) is the ninth most common form of cancer and the sixth leading cause of cancer-related deaths worldwide, with an estimated 442,000 new cases and 440,000 deaths in 2013 [1]. In addition, EC was estimated to cause a loss of 9.8 million disability-adjusted life years, which places a major burden on healthcare systems around the world [1]. Thus, new approaches to prevent or reduce the risk of EC are urgently needed.
Epidemiological studies have identified many factors associated with an increased risk of EC, including gender, obesity, alcohol consumption, tobacco smoking, gastroesophageal reflux disease, Helicobacter pylori infection, N-nitroso compounds, and micronutrient deficiency, with dietary factors appearing to play a significant role [2,3]. Therefore, diet-based preventive strategies have attracted considerable attention. In particular, four specific B vitamins—B2 (riboflavin), B6 (pyridoxine), B9 (folate), and B12 (cobalamin)—have attracted attention. These four vitamins act in concert to regulate the one-carbon metabolism pathway, which helps maintain nucleotide synthesis and methylation [4]. Accordingly, an imbalance and/or deficiency in any of these critical nutrients can interfere with DNA replication, DNA repair, and/or the regulation of gene expression, each of which can lead to carcinogenesis [5].
In recent decades, several epidemiological studies investigated the association between the risk of EC and intake of these B vitamins, yielding inconsistent results [6,7,8]. Several evidence-based studies have also evaluated this association. For example, data from meta-analyses suggest that an increased consumption of folate may decrease the risk of EC, while increased total vitamin B6 levels may help prevent many types of cancers, including EC [9,10,11]. On the other hand, no meta-analysis has been performed to examine the association between dietary vitamin B2 and vitamin B12 intake and the risk of EC. Thus, to the best of our knowledge, no systemic analysis has been performed regarding the putative association between dietary one-carbon metabolism-related B vitamins and the risk of EC. Therefore, we conducted a systematic meta-analysis in order to investigate this association.

2. Materials and Methods

This meta-analysis was designed, implemented, analyzed, and reported in accordance with the Meta-analysis of Observational Studies in Epidemiology (MOOSE) protocol [12].

2.1. Search Strategy and Selection Criteria

PubMed, Web of Science, and Embase were systematically searched by two investigators (authors Y.Q. and Q.L.) for articles published through 1 March 2018, using the following search terms: (“vitamin B” or “vitamin B2” or “riboflavin” or “vitamin B6” or “pyridoxine” or “vitamin B9” or “folate” or “folic acid” or “vitamin B12” or “cobalamin”) AND (“esophagus” OR “esophageal” or “oesophageal”) AND (“cancer” OR “tumor” OR “carcinoma” OR “neoplasm”). In addition, the references cited within each relevant article were searched for additional eligible publications. Unavailable data in some articles were obtained by e-mailing the corresponding author. Unpublished studies were not included. The only language restriction was for articles published in English, and only full-text journal articles of original studies were included.
Eligible studies had to satisfy the following criteria: (1) the exposure was the intake of dietary vitamin B2, vitamin B6, folate, and/or vitamin B12; (2) the study reported the risk of EC using an odds ratio (OR), hazard ratio (HR), or relative risk (RR), with the corresponding 95% confidence interval (95% CI) for the highest level versus the lowest level of each one-carbon B vitamin intake (or presented data that could be used to calculate the risk estimate); (3) the outcome was EC, esophageal adenocarcinoma (EAC), or esophageal squamous cell carcinoma (ESCC); (4) the original study was either a case-control study or a cohort study; and (5) for the dose-response analysis, the intake of each B vitamin in each category was either provided or could be calculated. If the same data were used in more than one publication, the most recent complete study was included in our analysis. If a study reported more than one OR, HR, or RR, the most adjusted ratio was used to calculate the pooled OR.
We excluded meta-analyses, reviews, case-reports, articles for which the full text was not available, studies involving non-human species, articles lacking essential data, and other non-relevant publications.

2.2. Data Extraction and Quality Assessment

The following data were extracted from each eligible article by two investigators (authors Y.Q. and Q.L.): The first author’s name, publication year, country, geographic location, histological type, study design (hospital-based case-control (HBCC),population-based case-control (PBCC), or cohort study), source of controls (for HBCC and PBCC studies), age, sample size (number of participants, controls, and cases), dietary assessment, intake comparison, subclasses of dietary B vitamins, and the corresponding OR, HR, or RR with 95% CI. We extracted the OR, HR, and RR values with the most adjustment.
These two investigators also independently assessed the quality of each study using the Newcastle-Ottawa Scale [13]; any discrepancies were resolved through group discussion with a third investigator (J.M.). This scale assigns a maximum of nine points to each study, with a score of 0–3, 4–6, and 7–9 indicating low, moderate, and high quality, respectively. Any inconsistencies were resolved by group discussion.

2.3. Statistical Analysis

In this meta-analysis, because the incidence of EC is relatively rare in all populations, the RR and HR were deemed equivalent to OR, and the summary results are reported as an OR for simplicity [14]. Pooled estimates of each OR and 95% CI were computed to assess the association between intake of each dietary one-carbon metabolism-related B vitamin and EC risk by comparing the highest level of consumption versus the lowest level of consumption. Any results that were stratified by histological type were treated as two independent reports.
We evaluated heterogeneity using the Q test and I2 statistic, with I2 values of 25%, 50%, and 75% representing low, moderate, and high degrees of heterogeneity, respectively [15]. If I2 > 50%, a DerSimonian and Laird random-effects model was used; otherwise, a Mantel-Haenszel fixed-effects model was used [16]. Meta-regression was performed in order to examine which possible sources of heterogeneity might have exerted a substantial impact on any between-study variation [17]. Subgroup analyses were also performed to evaluate the effect of modifying potential key covariates, stratified by geographic location (Asia, the US, Europe, or Australia), histological type (EAC or ESCC), study design (HBCC, PBCC, or cohort), dietary assessment (validated method, non-validated method, or not available [N/A]), and adjustment by energy intake/body mass index/alcohol/smoking (yes or no).
We performed dose-response analyses for the risk of EC and the increased intake of vitamin B2, vitamin B6, folate, or vitamin B12 using the method recommended by Greenland and Longnecker and the publicly available Stata code written by Orsini et al. [18,19]. We extracted the range or mean intake of these B vitamins in each category, the number of cases and participants (or person-years) in each category, and the OR (or RR) with 95% CI. If the person-years/participant number in each category was not reported, groups were assumed to be of equal sizes [20]. If the data were not compared using the highest with lowest levels, an algorithm processor was used to transform a reference group containing discrete correlated data [21]. If neither median nor mean values were reported, we used the midpoint of the range. If the highest category was open-ended, we considered the width of that category to be the same as the width of the adjacent category. If the lowest category was open-ended, the lowest boundary was set to zero [22]. We evaluated possible nonlinear associations between the intake of dietary B vitamins and the risk of EC using restricted cubic splines, with three knots at the 10th, 50th, and 90th percentiles of the distribution [23]. A p-value for nonlinearity was calculated by testing the null hypothesis that the coefficient of the second spline was equal to zero.
A “leave-one-out” sensitivity analysis was used to evaluate whether the results would have been affected significantly by removing one study at a time. Publication bias was assessed using Egger’s test [24]. All data were analyzed using the statistical software program Stata, version 11.0 (StatCorp, College Station, TX, USA) and p < 0.05 was considered statistically significant.

3. Results

3.1. Search Results, Study Characteristics, and Quality Assessment

The study selection process and the results of our literature search are shown in Figure 1. We initially identified 445 articles in PubMed, 430 articles in Web of Science, and 2168 articles in Embase. After excluding duplicates and studies that did not satisfy the inclusion/exclusion criteria, we identified 21 articles reporting 26 studies; 24 were case-control studies and two were cohort studies.
Table 1 summarizes the characteristics of the 26 studies reported in the 21 articles included in our analysis. The studies included a total of 510,954 participants and 6404 cases, which included 1919 EAC patients, 2010 ESCC patients, and 2475 EC patients. For vitamin B2 intake, 14 studies with 3335 cases were included. Six of these studies were performed in the US [6,25,26,27,28], five in Europe [7,29,30,31], two in Australia [8] and one in Asia [32]. For vitamin B6 intake, 14 studies with 4151 cases were included. Seven of these studies were performed in the US [6,25,26,27,33], five in Europe [7,29,30,34,35], and two in Australia [8]. For folate intake, 21 studies with 5158 cases were included. Ten of these studies were performed in the US [6,25,26,27,28,33,36,37], six in Europe [7,29,34,38,39], three in Asia [40,41,42], and two in Australia [8]. For vitamin B12 intake, 10 studies with 3164 cases were included. Six of these studies were performed in the US [6,26,27,33], two in Europe [7,30], and two in Australia [8]. The quality scores of all 21 publications ranged from 6 to 8, with a median score of 7.

3.2. Dietary Vitamin B2 Intake and EC Risk

The pooled OR of EC risk for the highest level versus the lowest level of vitamin B2 intake was 1.05 (95% CI: 0.93–1.17; I2 = 37.0%) (Figure 2a). The results show that increasing vitamin B2 intake does not affect the risk of EC. A subgroup analysis revealed that only one study reported an inverse correlation between vitamin B2 intake and EC risk (OR: 0.22; 95% CI: 0.06–0.77); this study did not adjust for alcohol intake [6]. The results obtained using studies that did adjust for alcohol intake were similar to the overall results (OR: 1.06; 95% CI: 0.94–1.19; I2 = 18.1%; p = 0.261 versus the total pooled OR). Other results of our subgroup analyses were also consistent with the overall results (Table S1). A dose-response analysis of three studies revealed that each 1 mg/day increase in vitamin B2 intake had no effect on EC risk (OR: 1.01; 95% CI: 0.98–1.04). We also found no evidence of a nonlinear association between dietary vitamin B2 intake and EC risk (p = 0.932) (Figure 3a).

3.3. Dietary Vitamin B6 Intake and EC Risk

We found an inverse association between vitamin B6 intake and EC risk (OR: 0.59, 95% CI: 0.52–0.66; I2 = 46.8%) (Figure 2b). This inverse relationship remained significant when we performed subgroup analyses for EAC (OR: 0.58; 95% CI: 0.49–0.68) and ESCC (OR: 0.47; 95% CI: 0.33–0.67) (Table 2). Six studies were included in a dose-response analysis, which revealed a nonlinear relationship between dietary B6 intake and EC risk (p = 0.015; Figure 3b). The lowest level of dietary B6 intake (0.7 mg/day) was used as the reference dose in our dose-response analysis. When dietary vitamin B6 intake was ≥2.0 mg/day, the inverse association became significant. The OR (95% CI) of EC was 0.96 (0.97–1.00), 0.93 (0.88–0.99), 0.82 (0.76–0.88), 0.67(0.59–0.75), and 0.55 (0.44–0.67) for 1.2, 1.4, 2.0, 2.5, and 3.0 mg/day of dietary vitamin B6 intake, respectively (Figure 3b). This dose-response analysis indicates that each 1 mg/day increase in dietary B6 increase decreases the risk of EC by 16% (OR: 0.84; 95% CI: 0.80–0.89).

3.4. Dietary Folate Intake and EC Risk

We also found a significant inverse association between folate intake and EC risk, with a pooled OR of 0.62 (95% CI: 0.56–0.68; I2 = 40.2%) (Figure 2c). A subgroup analysis revealed that this inverse correlation was present in the US (OR: 0.58; 95% CI: 0.51–0.67), Europe (OR: 0.51; 95% CI: 0.40–0.65), and Australia (OR: 0.74; 95% CI: 0.58–0.95), but not in Asia (OR: 0.77; 95% CI: 0.59–1.01) (Table 2). A dose-response analysis including 13 studies revealed a linear relationship (p = 0.739) between dietary folate intake and the risk of EC. This dose-response analysis suggests that each 100 μg/day increase in folate intake reduces the risk of EC by 12% (OR: 0.88; 95% CI: 0.86–0.91) (Figure 3c).

3.5. Dietary Vitamin B12 Intake and EC Risk

Finally, we found a positive correlation between B12 intake and the risk of EC (OR: 1.30; 95% CI: 1.05–1.62; I2 = 73.5%) (Figure 2d). A subgroup analysis based on geographic location revealed similar results in the US (OR: 1.26; 95% CI: 1.03–1.53) and Europe (OR: 2.54; 95% CI: 1.16–5.53), but not in Australia (OR: 0.93; 95% CI: 0.73–1.19). A subgroup analysis based on histological type revealed that this correlation was present among patients with EAC (OR: 1.47; 95% CI: 1.02–2.11), but not among patients with ESCC (OR: 1.00; 95% CI: 0.63–1.61). A positive correlation was also found in the subgroup of studies that used a validated FFQ/DHQ (OR: 1.45; 95% CI: 1.10–1.91), but not in the subgroup of studies that did not use a validated FFQ/DHQ (OR: 1.03; 95% CI: 0.84–1.26). In addition, the significant association was only found in studies that adjusted for alcohol, smoking, daily energy intake, or BMI, but not in the other subgroup (Table S2).
A total of five studies were eligible for inclusion in a dose-response analysis, which revealed a positive linear association between dietary B12 intake and EC risk (p = 0.192). This dose-response analysis suggests that each 1 μg/day increase in dietary B12 intake increases the risk of EC by 2% (OR = 1.02; 95% CI: 1.00–1.03).

3.6. Heterogeneity and Meta-Regression

For the intake of three of the four dietary B vitamins, heterogeneity was <50%; in contrast, heterogeneity for vitamin B12 intake was 73.5% (p < 0.001) (Figure 2d). However, the source of heterogeneity between vitamin B12 intake and the risk of EC was not identified in a meta-regression analysis. Next, we performed subgroup analyses based on geographic location and histological type, revealing a positive association in the US and Europe but not in Australia, as well as in patients with EAC but not in patients with ESCC. Therefore, we conclude that both geographic location and histological type likely account—at least in part—for this relatively high heterogeneity. Moreover, a “leave-one-out” analysis revealed that the key contributors to heterogeneity were two studies by Sharp et al. and Xiao et al., which included extreme values without adjusting for smoking [7,33]. After excluding each of these studies, heterogeneity was reduced to 42.0%, and the summary OR for EC was 1.30 (95% CI: 1.17–1.45), which is consistent with the main finding.

3.7. Sensitivity Analysis and Publication Bias

A sensitivity analysis revealed that no individual study affected the pooled effect size (Figure S1 in Supplementary Materials). We then looked for publication bias using funnel plots (Figure S2) and Egger’s test. Based on Egger’s test, the p-value was <0.5 for vitamin B2, vitamin B6, and folate, but >0.05 for vitamin B12. We then excluded the study by Jessri et al., which did not adjust for alcohol, to determine whether this study was a source of bias [6] and found no significant publication bias in the final analysis with respect to vitamin B2 (p = 0.244), vitamin B6 (p = 0.068), folate (p = 0.054), or vitamin B12 (p = 0.093).

4. Discussion

This systemic meta-analysis was based on 26 studies including 510,954 participants and 6,404 cases of EC, revealing a clear correlation between the dietary intake of several one-carbon metabolism-related B vitamins and the risk of EC. Specifically, we found an inverse association between EC risk and vitamin B6 intake and folate intake specifically in the US, Europe, and Australia, but not in Asia. Moreover, our dose-response analysis revealed that each 1 mg/day increase in B6 intake and each 100 μg/day increase in folate intake reduces the risk of EC by 16% and 12%, respectively. To our surprise, however, we found that each 1 μg/day increase in B12 intake was associated with a 2% increase in the risk of EC, particularly in the US and Europe and particularly among patients with esophageal adenocarcinoma, suggesting both geography-specific and histology-specific effects. On the other hand, we found no significant association between dietary vitamin B2 intake and EC risk.
Vitamins B2, B6, B9 (folate), and B12 are essential nutrients involved in the one-carbon metabolism pathway, which plays a critical role in several key biological processes, including DNA stability and gene transcription [43], protein localization [44], and the degradation of small molecules [45]; thus, these nutrients are believed to play an important role in preventing cancer. The US Institute of Medicine’s Food and Nutrition Board established the following recommended daily allowance (RDA) for adults with respect to B vitamins: 1.3 and 1.1 mg/day of vitamin B2 for men and women, respectively; 1.3 mg/day of vitamin B6; 400 μg/day of folate; and 2.4 μg/day of vitamin B12 [46] . Moreover, observational studies reported that suboptimal levels of these B vitamins are associated with various types of cancers, including breast, colorectal, and lung cancer [47,48].
Several mechanisms might account for this relationship between the intake of these B vitamins and the development of cancer, as summarized in Figure 4. First, folate is the substrate for converting dUMP to dTMP, which is required for thymine synthesis and the formation and stability of DNA, RNA, and nucleoside triphosphates. Thus, folate deficiency may lead to the incorporation of uracil instead of thymine into the DNA and may alter DNA repair mechanisms, leading to chromosomal breakage [49]. Second, folate is a methyl donor, and vitamins B2, B6, and B12 serve as important co-factors for the enzymes methylene tetrahydrofolate reductase (MTHFR), serine hydroxymethyltransferase (SHMT), and methionine synthase (MS), respectively, in the folate cycle [50,51]. In addition, the vitamin B12-dependent enzyme MS catalyzes the conversion of homocysteine to methionine, which is required for synthesizing the universal methyl donor S-adenosyl methionine (SAM) and for the cellular circulation of folate [4,52]. Thus, a deficiency in B vitamins in the folate cycle can lead to the altered expression of critical proto-oncogenes and tumor suppressor genes by reducing DNA methylation, ultimately leading to the development of cancer [53]. However, it is worth noting that high intake of vitamin B12 may also cause higher levels of SAM, which could result in the increased activity of DNA methyltransferase (DNMT) enzymes [54]. Interestingly, DNMT1 plays a role in the self-renewal of cancer stem cells, which are involved in both tumorigenesis and tumor metastasis [55,56]. In addition, hypermethylation of the enzyme O6-methylguanine-DNA methyltransferase (MGMT) also has been correlated with mutations in the tumor suppressor protein p53 [57]. Thus, although the biology of these one-carbon metabolism-related B vitamins suggests that they confer a beneficial effect with respect to helping prevent cancer, vitamin B12 may paradoxically serve as a cancer-promoting factor.
In contrast with the effects of vitamin B6, folate, and vitamin B12 on EC risk, our analysis suggests that vitamin B2 (riboflavin) intake is not significantly associated with the risk of EC. Interestingly, previous studies have found that vitamin B2 deficiency was generally more severe in high-risk EC populations than in low-risk populations, which suggests that riboflavin deficiency may indeed play an important role in the etiology of EC [58]. However, an intervention study conducted in China found no significant difference in the incidence of ESCC between the intervention group and the control group after six years of consuming riboflavin-fortified salt [59]. Therefore, additional studies are needed in order to clarify the putative association between vitamin B2 intake and EC risk.
With respect to vitamin B6, our analysis suggests that adults should consume at least 2.01 mg/day in order to reduce the risk of EC. Nevertheless, it is important to note that this inverse relationship was observed in the US, Europe, and Australia, and no studies have yet been conducted in Asia; therefore, this result may not necessarily apply to Asian populations.
We also observed a significant inverse correlation between folate intake and EC risk, finding that each 100 μg/day increase in folate intake reduces the risk of EC by 12%. This finding is consistent with the results of a recent meta-analysis by Zhao et al. [11]. In the subgroup analysis, there was a geographic-specific difference which suggested that geographic location and/or dietary habits may play an important role in this association [9]. For example, people living in high-risk regions such as Asia may consume less folate-rich foods (e.g., green leafy vegetables, some fruits, legumes, and liver) compared to people living in low-risk regions [60]. Nevertheless, our analysis cannot take into consideration persons of Asian descent living in the US. Thus, additional studies are needed in order to determinate whether ethnicity plays a role.
Lastly, we found that vitamin B12 intake is positively associated with EC risk in both the US and Europe, but not in Australia. Based on the mean dose and number of participates in each category of vitamin B12 intake in the studies included, we estimated the average intake of dietary vitamin B12 in different geographical locations. We found that the value in Australia (2.17 μg/day) was much lower than that in the US (4.64 μg/day) and Europe (8.11 μg/day), which were both higher than the RDA of vitamin B12 for adults (2.4 μg/day) [46]. Interestingly, the positive correlation between vitamin B12 and EC risk was specific to esophageal adenocarcinoma, which has been increasing rapidly in prevalence in Western countries [2]. Vitamin B12 has been shown to regulate inflammation. For example, a recent cohort study found that vitamin B12 levels in the cerebrospinal fluid are positively correlated with 8-hydroxy-2-deoxyguanosine(8-OHdG), which is a marker of oxidative processes and is often related to inflammation [61]. Other studies found that vitamin B12 may play a role in regulating the pro-inflammatory cytokines IL-6 and TNF-α [62,63]. In addition, inflammation has been associated with an increased risk of EAC, leading to the proposed model of carcinogenic progression from inflammation (reflux esophagitis), to metaplasia (Barrett’s esophagus), to adenocarcinoma [64]. Moreover, when reflux esophagitis progresses to Barrett’s esophagus, the inflammatory response is skewed towards a more pronounced humoral immune response [65]. In this respect, it is interesting to note that vitamin B12 may serve as a modulator of the immune response. Tamura et al. found that vitamin B12 is related to CD8+ cells and NK cells [66], and Sukocheva et al. reported that vitamin B12 can regulate Ca2+ spikes in immune cells over a wide range of concentrations, possibly giving rise to physiological changes [67]. Thus, the role of vitamin B12 in inflammation and immune function may serve as an indirect link to EAC. Consistent with our results, an epidemiological intervention study found that supplementation with vitamin B12 was related to the risk of lung cancer [48]. In addition, the results of a randomized, placebo-controlled trial suggest that excess intake of vitamin B12 is associated with changes in DNA methylation in several genes that function during development, thereby reactivating and/or or deregulating their expression during carcinogenesis [68]. Considering the source of vitamin B12 from foods, meat and dairy products derived from foods of animal origins [60] are the main source. However, the fortified cereals are also an important source of dietary vitamin B12 [69,70]. Since we couldn’t identify the detailed information about the exact source of vitamin B12, we could not rule out the possibility of potential interaction between vitamin B12 and some ingredients in animal foods which are known risk factors for EAC [71]. Therefore, further well-designed studies are needed to address whether the food source is a confounding factor in the relationship between vitamin B12 intake and the risk of EC.
Our meta-analysis has several strengths. First, this is the first systemic meta-analysis that investigates the association between the intake of four one-carbon metabolic B vitamins and EC risk. Second, we performed several subgroup analyses and found significant geography-specific and histology-specific differences in the effects of both folate intake and vitamin B12 intake. Third, we performed the first dose-response meta-analysis of the quantitative effects of vitamins B2, B6, and B12 on EC risk.
Despite these strengths, our analysis has several limitations that warrant discussion. First, because most of the eligible studies were case-control studies, we are unable to rule out any possible effects of recall bias. In addition, the highest and lowest levels of vitamin B intake varied among the included studies; however, we do not believe that this affected our analysis, given the strength of our subgroup analysis.

5. Conclusions

In summary, the results of our meta-analysis indicate that both vitamin B6 intake and folate intake are inversely correlated with EC risk, whereas vitamin B12 intake is directly associated with EC risk; in contrast, we found no correlation between vitamin B2 intake and the risk of EC. In addition, our dose-response analyses support these general findings. Our results strongly suggest that increasing one’s daily dietary intake of vitamin B6 and folate help to reduce the risk of esophageal cancer. In contrast, higher intake of dietary vitamin B12 may increase the risk for esophageal cancer. Thus, large prospective cohort studies and randomized controlled trials are warranted in order to support these results and identify the underlying biological mechanisms.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6643/10/7/835/s1: Figure S1: Sensitivity analysis in which one study was removed at a time in order to evaluate the stability of the results. (a) Vitamin B2 intake; (b) vitamin B6 intake; (c) folate intake; and (d) vitamin B12 intake, Figure S2: Funnel plots for the intake of B vitamins and the risk of esophageal cancer. (a) Vitamin B2 intake; (b) B6 intake; (c) folate intake; and (d) vitamin B12 intake, Table S1: Subgroup analysis of the intake of vitamin B2 and the risk of EC, Table S2: Subgroup analysis of the intake of B vitamins and the risk of EC.

Author Contributions

Y.Q., Q.L. and F.W., designed the study; Y.Q., Q.L., and J.M. assessed the studies for inclusion, extracted the data, and assessed the validity of the included studies; Y.Q., Q.L., and Y.X. conducted the meta-analysis; other authors tabulated the data; Y.Q. and Q.L. wrote the first draft of the manuscript; X.F. and Y.X. provided critical input for the manuscript. F.W. did critical revision of the manuscript for important intellectual content and study supervision. All authors have contributed significantly, and all authors are in agreement with respect to the content of the manuscript.

Acknowledgments

This work was supported by research grants from the National Key R&D Program of China (grant numbers 2018YFA0507800 and 2018YFA0507802 to FW) and the National Natural Science Foundation of China. (Grant numbers 31530034 and 31330036 to F.W. and 21605132 to Y.T.). We are grateful to Junxia Min at Zhejiang University for helpful discussions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Global Burden of Disease Cancer Collaboration; Fitzmaurice, C.; Dicker, D.; Pain, A.; Hamavid, H.; Moradi-Lakeh, M.; MacIntyre, M.F.; Allen, C.; Hansen, G.; Woodbrook, R.; et al. The global burden of cancer 2013. JAMA Oncol. 2015, 1, 505–527. [Google Scholar] [CrossRef] [PubMed]
  2. Palladino-Davis, A.G.; Mendez, B.M.; Fisichella, P.M.; Davis, C.S. Dietary habits and esophageal cancer. Dis. Esophagus 2015, 28, 59–67. [Google Scholar] [CrossRef] [PubMed]
  3. Keszei, A.P.; Goldbohm, R.A.; Schouten, L.J.; Jakszyn, P.; van den Brandt, P.A. Dietary N-nitroso compounds, endogenous nitrosation, and the risk of esophageal and gastric cancer subtypes in the netherlands cohort study. Am. J. Clin. Nutr. 2013, 97, 135–146. [Google Scholar] [CrossRef] [PubMed]
  4. Ciappio, E.D.; Mason, J.B.; Crott, J.W. Maternal one-carbon nutrient intake and cancer risk in offspring. Nutr. Rev. 2011, 69, 561–571. [Google Scholar] [CrossRef] [PubMed]
  5. Cancarini, I.; Krogh, V.; Agnoli, C.; Grioni, S.; Matullo, G.; Pala, V.; Pedraglio, S.; Contiero, P.; Riva, C.; Muti, P.; et al. Micronutrients involved in one-carbon metabolism and risk of breast cancer subtypes. PLoS ONE 2015, 10, e0138318. [Google Scholar] [CrossRef] [PubMed]
  6. Jessri, M.; Rashidkhani, B.; Hajizadeh, B.; Jessri, M.; Gotay, C. Macronutrients, vitamins and minerals intake and risk of esophageal squamous cell carcinoma: A case-control study in Iran. Nutr. J. 2011, 10, 137. [Google Scholar] [CrossRef] [PubMed]
  7. Sharp, L.; Carsin, A.E.; Cantwell, M.M.; Anderson, L.A.; Murray, L.J.; Group, F.S. Intakes of dietary folate and other B vitamins are associated with risks of esophageal adenocarcinoma, barrett’s esophagus, and reflux esophagitis. J. Nutr. 2013, 143, 1966–1973. [Google Scholar] [PubMed]
  8. Ibiebele, T.I.; Hughes, M.C.; Pandeya, N.; Zhao, Z.; Montgomery, G.; Hayward, N.; Green, A.C.; Whiteman, D.C.; Webb, P.M.; Study of Digestive Health; et al. High intake of folate from food sources is associated with reduced risk of esophageal cancer in an Australian population. J. Nutr. 2011, 141, 274–283. [Google Scholar] [PubMed]
  9. Liu, W.; Zhou, H.; Zhu, Y.Q.; Tie, C.R. Associations between dietary folate intake and risks of esophageal, gastric and pancreatic cancers: An overall and dose-response meta-analysis. Oncotarget 2017, 8, 86828–86842. [Google Scholar] [CrossRef] [PubMed]
  10. Mocellin, S.; Briarava, M.; Pilati, P. Vitamin B6 and cancer risk: A field synopsis and meta-analysis. J. Natl. Cancer Inst. 2017, 109, 1–9. [Google Scholar] [CrossRef] [PubMed]
  11. Zhao, Y.; Guo, C.; Hu, H.; Zheng, L.; Ma, J.; Jiang, L.; Zhao, E.; Li, H. Folate intake, serum folate levels and esophageal cancer risk: An overall and dose-response meta-analysis. Oncotarget 2017, 8, 10458–10469. [Google Scholar] [CrossRef] [PubMed]
  12. Stroup, D.F.; Berlin, J.A.; Morton, S.C.; Olkin, I.; Williamson, G.D.; Rennie, D.; Moher, D.; Becker, B.J.; Sipe, T.A.; Thacker, S.B. Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis of observational studies in epidemiology (MOOSE) group. JAMA 2000, 283, 2008–2012. [Google Scholar] [CrossRef] [PubMed]
  13. Wells, G.A.; Shea, B.; O’Connell, D.; Peterson, J.; Welch, V.; Losos, M.; Tugwell, P. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses. Available online: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp (accessed on 15 March 2018).
  14. Greenland, S. Quantitative methods in the review of epidemiologic literature. Epidemiol. Rev. 1987, 9, 1–30. [Google Scholar] [CrossRef] [PubMed]
  15. Fang, X.; Wei, J.; He, X.; An, P.; Wang, H.; Jiang, L.; Shao, D.; Liang, H.; Li, Y.; Wang, F.; et al. Landscape of dietary factors associated with risk of gastric cancer: A systematic review and dose-response meta-analysis of prospective cohort studies. Eur. J. Cancer 2015, 51, 2820–2832. [Google Scholar] [CrossRef] [PubMed]
  16. Higgins, J.P.; Thompson, S.G.; Deeks, J.J.; Altman, D.G. Measuring inconsistency in meta-analyses. BMJ 2003, 327, 557–560. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Higgins, J.P.; Thompson, S.G. Controlling the risk of spurious findings from meta-regression. Stat. Med. 2004, 23, 1663–1682. [Google Scholar] [CrossRef] [PubMed]
  18. Greenland, S.; Longnecker, M.P. Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am. J. Epidemiol. 1992, 135, 1301–1309. [Google Scholar] [CrossRef] [PubMed]
  19. Orsini, N.; Bellocco, R.; Greenland, S. Generalized least squares for trend estimation of summarized dose-response data. Stata J. 2006, 6, 40–57. [Google Scholar]
  20. Bekkering, G.E.; Harris, R.J.; Thomas, S.; Mayer, A.-M.B.; Beynon, R.; Ness, A.R.; Harbord, R.M.; Bain, C.; Smith, G.D.; Sterne, J.A.C. How much of the data published in observational studies of the association between diet and prostate or bladder cancer is usable for meta-analysis? Am. J. Epidemiol. 2008, 167, 1017–1026. [Google Scholar] [CrossRef] [PubMed]
  21. Hamling, J.; Lee, P.; Weitkunat, R.; Ambuhl, M. Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category. Stat. Med. 2008, 27, 954–970. [Google Scholar] [CrossRef] [PubMed]
  22. Wu, W.; Kang, S.; Zhang, D. Association of vitamin B6, vitamin B12 and methionine with risk of breast cancer: A dose-response meta-analysis. Br. J. Cancer 2013, 109, 1926–1944. [Google Scholar] [CrossRef] [PubMed]
  23. Harrell, F.E., Jr.; Lee, K.L.; Pollock, B.G. Regression models in clinical studies: Determining relationships between predictors and response. J. Nat. Cancer Inst. 1988, 80, 1198–1202. [Google Scholar] [CrossRef] [PubMed]
  24. Egger, M.; Davey Smith, G.; Schneider, M.; Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997, 315, 629–634. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Chen, H.; Tucker, K.L.; Graubard, B.I.; Heineman, E.F.; Markin, R.S.; Potischman, N.A.; Russell, R.M.; Weisenburger, D.D.; Ward, M.H. Nutrient intakes and adenocarcinoma of the esophagus and distal stomach. Nutr. Cancer 2002, 42, 33–40. [Google Scholar] [CrossRef] [PubMed]
  26. De Stefani, E.; Ronco, A.; Mendilaharsu, M.; Deneo-Pellegrini, H. Diet and risk of cancer of the upper aerodigestive tract—II. Nutrients. Oral. Oncol. 1999, 35, 22–26. [Google Scholar] [CrossRef]
  27. Mayne, S.T.; Risch, H.A.; Dubrow, R.; Chow, W.H.; Gammon, M.D.; Vaughan, T.L.; Farrow, D.C.; Schoenberg, J.B.; Stanford, J.L.; Ahsan, H.; et al. Nutrient intake and risk of subtypes of esophageal and gastric cancer. Cancer Epidemiol. Biomark. Prev. 2001, 10, 1055–1062. [Google Scholar] [PubMed]
  28. Brown, L.M.; Blot, W.J.; Schuman, S.H.; Smith, V.M.; Ershow, A.G.; Marks, R.D.; Fraumeni, J.F., Jr. Environmental factors and high risk of esophageal cancer among men in coastal south Carolina. J. Nat. Cancer Inst. 1988, 80, 1620–1625. [Google Scholar] [CrossRef] [PubMed]
  29. Franceschi, S.; Bidoli, E.; Negri, E.; Zambon, P.; Talamini, R.; Ruol, A.; Parpinel, M.; Levi, F.; Simonato, L.; La Vecchia, C. Role of macronutrients, vitamins and minerals in the aetiology of squamous-cell carcinoma of the oesophagus. Int. J. Cancer 2000, 86, 626–631. [Google Scholar] [CrossRef] [Green Version]
  30. Tuyns, A.J.; Riboli, E.; Doornbos, G.; Pequignot, G. Diet and esophageal cancer in Calvados (France). Nutr. Cancer 1987, 9, 81–92. [Google Scholar] [CrossRef] [PubMed]
  31. Tzonou, A.; Lipworth, L.; Garidou, A.; Signorello, L.B.; Lagiou, P.; Hsieh, C.; Trichopoulos, D. Diet and risk of esophageal cancer by histologic type in a low-risk population. Int. J. Cancer 1996, 68, 300–304. [Google Scholar] [CrossRef] [Green Version]
  32. Hu, J.; Nyren, O.; Wolk, A.; Bergstrom, R.; Yuen, J.; Adami, H.O.; Guo, L.; Li, H.; Huang, G.; Xu, X.; et al. Risk factors for oesophageal cancer in northeast China. Int. J. Cancer 1994, 57, 38–46. [Google Scholar] [CrossRef] [PubMed]
  33. Xiao, Q.; Freedman, N.D.; Ren, J.; Hollenbeck, A.R.; Abnet, C.C.; Park, Y. Intakes of folate, methionine, vitamin B6, and vitamin B12 with risk of esophageal and gastric cancer in a large cohort study. Br. J. Cancer 2014, 110, 1328–1333. [Google Scholar] [CrossRef] [PubMed]
  34. Galeone, C.; Pelucchi, C.; Levi, F.; Negri, E.; Talamini, R.; Franceschi, S.; La Vecchia, C. Folate intake and squamous-cell carcinoma of the oesophagus in Italian and Swiss men. Ann. Oncol. 2006, 17, 521–525. [Google Scholar] [CrossRef] [PubMed]
  35. Launoy, G.; Milan, C.; Day, N.E.; Pienkowski, M.P.; Gignoux, M.; Faivre, J. Diet and squamous-cell cancer of the oesophagus: A French multicentre case-control study. Int. J. Cancer 1998, 76, 7–12. [Google Scholar] [CrossRef] [Green Version]
  36. De Stefani, E.; Ronco, A.L.; Boffetta, P.; Deneo-Pellegrini, H.; Acosta, G.; Correa, P.; Mendilaharsu, M. Nutrient intake and risk of squamous cell carcinoma of the esophagus: A case-control study in Uruguay. Nutr. Cancer 2006, 56, 149–157. [Google Scholar] [CrossRef] [PubMed]
  37. Aune, D.; Deneo-Pellegrini, H.; Ronco, A.L.; Boffetta, P.; Acosta, G.; Mendilaharsu, M.; De Stefani, E. Dietary folate intake and the risk of 11 types of cancer: A case-control study in Uruguay. Ann. Oncol. 2011, 22, 444–451. [Google Scholar] [CrossRef] [PubMed]
  38. Tavani, A.; Malerba, S.; Pelucchi, C.; Dal Maso, L.; Zucchetto, A.; Serraino, D.; Levi, F.; Montella, M.; Franceschi, S.; Zambon, A.; et al. Dietary folates and cancer risk in a network of case-control studies. Ann. Oncol. 2012, 23, 2737–2742. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Bollschweiler, E.; Wolfgarten, E.; Nowroth, T.; Rosendahl, U.; Monig, S.P.; Holscher, A.H. Vitamin intake and risk of subtypes of esophageal cancer in Germany. J. Cancer Res. Clin. Oncol. 2002, 128, 575–580. [Google Scholar] [CrossRef] [PubMed]
  40. Tang, L.; Lee, A.H.; Xu, F.; Zhang, T.; Lei, J.; Binns, C.W. Fruit and vegetable consumption and risk of esophageal cancer: A case-control study in north-west China. Dis. Esophagus 2014, 27, 777–782. [Google Scholar] [CrossRef] [PubMed]
  41. Zhao, P.; Lin, F.; Li, Z.; Lin, B.; Lin, J.; Luo, R. Folate intake, methylenetetrahydrofolate reductase polymorphisms, and risk of esophageal cancer. Asian Pac. J. Cancer Prev. 2011, 12, 2019–2023. [Google Scholar] [PubMed]
  42. Yang, C.X.; Matsuo, K.; Ito, H.; Shinoda, M.; Hatooka, S.; Hirose, K.; Wakai, K.; Saito, T.; Suzuki, T.; Maeda, T.; et al. Gene-environment interactions between alcohol drinking and the MTHFR C677T polymorphism impact on esophageal cancer risk: Results of a case-control study in Japan. Carcinogenesis 2005, 26, 1285–1290. [Google Scholar] [CrossRef] [PubMed]
  43. Miranda, T.B.; Jones, P.A. DNA methylation: The nuts and bolts of repression. J. Cell. Physiol. 2007, 213, 384–390. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Winter-Vann, A.M.; Kamen, B.A.; Bergo, M.O.; Young, S.G.; Melnyk, S.; James, S.J.; Casey, P.J. Targeting ras signaling through inhibition of carboxyl methylation: An unexpected property of methotrexate. Proc. Natl. Acad. Sci. USA 2003, 100, 6529–6534. [Google Scholar] [CrossRef] [PubMed]
  45. Stead, L.M.; Jacobs, R.L.; Brosnan, M.E.; Brosnan, J.T. Methylation demand and homocysteine metabolism. Adv. Enzyme Regul. 2004, 44, 321–333. [Google Scholar] [CrossRef] [PubMed]
  46. Medicine (US) Standing Committee on the Scientific Evaluation of Dietary Reference Intakes and its Panel on Folate, Other B Vitamins, and Choline. Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B6, Folate, Vitamin B12, Pantothenic Acid, Biotin, and Choline; National Academies Press (US): Washington, DC, USA, 1998; pp. 196–305.
  47. Zhang, S.M.; Cook, N.R.; Albert, C.M.; Gaziano, J.M.; Buring, J.E.; Manson, J.E. Effect of combined folic acid, vitamin B6, and vitamin B12 on cancer risk in women: A randomized trial. JAMA 2008, 300, 2012–2021. [Google Scholar] [CrossRef] [PubMed]
  48. Brasky, T.M.; White, E.; Chen, C.-L. Long-term, supplemental, one-carbon metabolism-related vitamin B use in relation to lung cancer risk in the vitamins and lifestyle (VITAL) cohort. J. Clin. Oncol. 2017, 35, 3440–3448. [Google Scholar] [CrossRef] [PubMed]
  49. Blount, B.C.; Mack, M.M.; Wehr, C.M.; MacGregor, J.T.; Hiatt, R.A.; Wang, G.; Wickramasinghe, S.N.; Everson, R.B.; Ames, B.N. Folate deficiency causes uracil misincorporation into human DNA and chromosome breakage: Implications for cancer and neuronal damage. Proc. Natl. Acad. Sci. USA 1997, 94, 3290–3295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Chan, J.; Deng, L.; Mikael, L.G.; Yan, J.; Pickell, L.; Wu, Q.; Caudill, M.A.; Rozen, R. Low dietary choline and low dietary riboflavin during pregnancy influence reproductive outcomes and heart development in mice. Am. J. Clin. Nutr. 2010, 91, 1035–1043. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Fiorito, G.; Guarrera, S.; Valle, C.; Ricceri, F.; Russo, A.; Grioni, S.; Mattiello, A.; Di Gaetano, C.; Rosa, F.; Modica, F.; et al. B-vitamins intake, DNA-methylation of one carbon metabolism and homocysteine pathway genes and myocardial infarction risk: The EPICOR study. Nutr. Metab. Cardiovasc. Dis. 2014, 24, 483–488. [Google Scholar] [CrossRef] [PubMed]
  52. 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, 253–256. [Google Scholar] [CrossRef] [PubMed]
  53. Choi, S.W.; Mason, J.B. Folate and carcinogenesis: An integrated scheme. J. Nutr. 2000, 130, 129–132. [Google Scholar] [CrossRef] [PubMed]
  54. Liu, A.Y.; Scherer, D.; Poole, E.; Potter, J.D.; Curtin, K.; Makar, K.; Slattery, M.L.; Caan, B.J.; Ulrich, C.M. Gene-diet-interactions in folate-mediated one-carbon metabolism modify colon cancer risk. Mol. Nutr. Food Res. 2013, 57, 721–734. [Google Scholar] [CrossRef] [PubMed]
  55. Morita, R.; Hirohashi, Y.; Suzuki, H.; Takahashi, A.; Tamura, Y.; Kanaseki, T.; Asanuma, H.; Inoda, S.; Kondo, T.; Hashino, S.; et al. DNA methyltransferase 1 is essential for initiation of the colon cancers. Exp. Mol. Pathol. 2013, 94, 322–329. [Google Scholar] [CrossRef] [PubMed]
  56. Pathania, R.; Ramachandran, S.; Elangovan, S.; Padia, R.; Yang, P.; Cinghu, S.; Veeranan-Karmegam, R.; Arjunan, P.; Gnana-Prakasam, J.P.; Sadanand, F.; et al. DNMT1 is essential for mammary and cancer stem cell maintenance and tumorigenesis. Nat. Commun. 2015, 6, 6910. [Google Scholar] [CrossRef] [PubMed]
  57. Wolf, P.; Hu, Y.C.; Doffek, K.; Sidransky, D.; Ahrendt, S.A. O(6)-methylguanine-DNA methyltransferase promoter hypermethylation shifts the p53 mutational spectrum in non-small cell lung cancer. Cancer Res. 2001, 61, 8113–8117. [Google Scholar] [PubMed]
  58. Siassi, F.; Ghadirian, P. Riboflavin deficiency and esophageal cancer: A case control-household study in the caspian littoral of Iran. Cancer Detect. Prev. 2005, 29, 464–469. [Google Scholar] [CrossRef] [PubMed]
  59. He, Y.; Ye, L.; Shan, B.; Song, G.; Meng, F.; Wang, S. Effect of riboflavin-fortified salt nutrition intervention on esophageal squamous cell carcinoma in a high incidence area, China. Asian Pac. J. Cancer Prev. 2009, 10, 619–622. [Google Scholar] [PubMed]
  60. Expert Group on Vitamins and Minerals (EVM). Water Soluble Vitamins. In Safe Upper Levels for Vitamins and Minerals; Expert Group on Vitamins and Minerals: London, UK, 2003; pp. 36–100. [Google Scholar]
  61. Guest, J.; Bilgin, A.; Hokin, B.; Mori, T.A.; Croft, K.D.; Grant, R. Novel relationships between B12, folate and markers of inflammation, oxidative stress and NAD(H) levels, systemically and in the CNS of a healthy human cohort. Nutr. Neurosci. 2015, 18, 355–364. [Google Scholar] [CrossRef] [PubMed]
  62. Peracchi, M.; Bamonti Catena, F.; Pomati, M.; De Franceschi, M.; Scalabrino, G. Human cobalamin deficiency: Alterations in serum tumour necrosis factor-alpha and epidermal growth factor. Eur. J. Haematol. 2001, 67, 123–127. [Google Scholar] [CrossRef] [PubMed]
  63. Al-Daghri, N.M.; Rahman, S.; Sabico, S.; Yakout, S.; Wani, K.; Al-Attas, O.S.; Saravanan, P.; Tripathi, G.; McTernan, P.G.; Alokail, M.S. Association of vitamin B12 with pro-inflammatory cytokines and biochemical markers related to cardiometabolic risk in Saudi subjects. Nutrients 2016, 8, 460. [Google Scholar] [CrossRef] [PubMed]
  64. Pace, F.; Bianchi Porro, G. Gastroesophageal reflux disease: A typical spectrum disease (a new conceptual framework is not needed). Am. J. Gastroenterol. 2004, 99, 946–949. [Google Scholar] [CrossRef] [PubMed]
  65. Moons, L.M.; Kusters, J.G.; Bultman, E.; Kuipers, E.J.; van Dekken, H.; Tra, W.M.; Kleinjan, A.; Kwekkeboom, J.; van Vliet, A.H.; Siersema, P.D. Barrett’s oesophagus is characterized by a predominantly humoral inflammatory response. J. Pathol. 2005, 207, 269–276. [Google Scholar] [CrossRef] [PubMed]
  66. Tamura, J.; Kubota, K.; Murakami, H.; Sawamura, M.; Matsushima, T.; Tamura, T.; Saitoh, T.; Kurabayshi, H.; Naruse, T. Immunomodulation by vitamin B12: Augmentation of CD8+ T lymphocytes and natural killer (NK) cell activity in vitamin B12-deficient patients by methyl-B12 treatment. Clin. Exp. Immunol. 1999, 116, 28–32. [Google Scholar] [CrossRef] [PubMed]
  67. Sukocheva, O.A.; Abramov, A.Y.; Levitskaya, J.O.; Gagelgans, A.I.; Carpenter, D.O. Modulation of intracellular Ca(2+) concentration by vitamin B12 in rat thymocytes. Blood Cells Mol. Dis. 2001, 27, 812–824. [Google Scholar] [CrossRef] [PubMed]
  68. Kok, D.E.; Dhonukshe-Rutten, R.A.; Lute, C.; Heil, S.G.; Uitterlinden, A.G.; van der Velde, N.; van Meurs, J.B.; van Schoor, N.M.; Hooiveld, G.J.; de Groot, L.C.; et al. The effects of long-term daily folic acid and vitamin B12 supplementation on genome-wide DNA methylation in elderly subjects. Clin. Epigenet. 2015, 7, 121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Damayanti, D.; Jaceldo-Siegl, K.; Beeson, W.L.; Fraser, G.; Oda, K.; Haddad, E.H. Foods and supplements associated with vitamin B12 biomarkers among vegetarian and non-vegetarian participants of the adventist health study-2 (AHA-2) calibration study. Nutrients 2018, 10, 722. [Google Scholar] [CrossRef] [PubMed]
  70. Sicinska, E.; Cholewa, M. Evaluation of the needs and possibilities of increasing the vitamin B12 content in diet. Rocz. Panstw. Zakl. Hig. 2012, 63, 67–71. [Google Scholar] [PubMed]
  71. O’Doherty, M.G.; Cantwell, M.M.; Murray, L.J.; Anderson, L.A.; Abnet, C.C.; Group, F.S. Dietary fat and meat intakes and risk of reflux esophagitis, barrett’s esophagus and esophageal adenocarcinoma. Int. J. Cancer 2011, 129, 1493–1502. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Flow diagram depicting the screening and exclusion of publications included in the meta-analysis.
Figure 1. Flow diagram depicting the screening and exclusion of publications included in the meta-analysis.
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Figure 2. Forest plots summarizing the OR of EC for the highest vs. the lowest category of (a) vitamin B2 intake; (b) vitamin B6 intake; (c) folate intake; and (d) vitamin B12 intake. OR: odds ratio (relative risk); CI: confidence interval.
Figure 2. Forest plots summarizing the OR of EC for the highest vs. the lowest category of (a) vitamin B2 intake; (b) vitamin B6 intake; (c) folate intake; and (d) vitamin B12 intake. OR: odds ratio (relative risk); CI: confidence interval.
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Figure 3. Dose-response relationships between EC risk and the daily intake of (a) vitamin B2; (b) vitamin B6; (c) folate; and (d) vitamin B12. In each panel, the solid line and dashed lines represent the estimated relative risk and 95% confidence interval, respectively, and the dotted line represents the linear fit to the data.
Figure 3. Dose-response relationships between EC risk and the daily intake of (a) vitamin B2; (b) vitamin B6; (c) folate; and (d) vitamin B12. In each panel, the solid line and dashed lines represent the estimated relative risk and 95% confidence interval, respectively, and the dotted line represents the linear fit to the data.
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Figure 4. Schematic model of the folate-mediated one-carbon metabolism pathway and its relationship with methylation reactions. Folate undergoes two reduction steps to produce THF. Vitamin B6 serves as a co-factor of SHMT to catalyze the synthesis of 5,10-CH2 THF. Vitamin B2 serves as a precursor of the co-factor for MTHFR to produce 5-CH3 THF. The vitamin B12-dependant enzyme MS uses 5-CH3 THF to convert homocysteine to methionine, the precursor of SAM. Finally, SAM mediates various methylation reactions. The blue arrows indicate that high intake of vitamin B6 and folate leads to increased DNA synthesis, stability, and repair. The red arrows indicate that high intake of B12 is associated with abnormal DNA methylation. Abbreviations: DHF, dihydrofolate; THF, tetrahydrofolate; 5-CH3 THF, 5-methytetrahydrofolate; 5,10-CH2 THF, 5,10-methylene tetrahydrofolate; MTHFR, methylene tetrahydrofolate reductase; SHMT, serine hydroxymethyltransferase; MS, methionine synthase; SAM, S-adenosylmethionine; DNMT, DNA methyltransferase.
Figure 4. Schematic model of the folate-mediated one-carbon metabolism pathway and its relationship with methylation reactions. Folate undergoes two reduction steps to produce THF. Vitamin B6 serves as a co-factor of SHMT to catalyze the synthesis of 5,10-CH2 THF. Vitamin B2 serves as a precursor of the co-factor for MTHFR to produce 5-CH3 THF. The vitamin B12-dependant enzyme MS uses 5-CH3 THF to convert homocysteine to methionine, the precursor of SAM. Finally, SAM mediates various methylation reactions. The blue arrows indicate that high intake of vitamin B6 and folate leads to increased DNA synthesis, stability, and repair. The red arrows indicate that high intake of B12 is associated with abnormal DNA methylation. Abbreviations: DHF, dihydrofolate; THF, tetrahydrofolate; 5-CH3 THF, 5-methytetrahydrofolate; 5,10-CH2 THF, 5,10-methylene tetrahydrofolate; MTHFR, methylene tetrahydrofolate reductase; SHMT, serine hydroxymethyltransferase; MS, methionine synthase; SAM, S-adenosylmethionine; DNMT, DNA methyltransferase.
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Table
Table 1. Characteristics of the 21 articles included in the meta-analysis.
Table 1. Characteristics of the 21 articles included in the meta-analysis.
Author, YearCountryHistological TypeStudy-DesignAge Range (Years) Participants (Cases)Dietary AssessmentSubclass(es) of Vitamin BIntake Comparison (Highest vs. Lowest)Adjustment for CovariatesQuality Score
Franceschi et al., 2000 [29]ItalyESCCHBCC<79 1047 (304)FFQ-78 items, validatedVitamin B2Q5 vs. Q1Age, gender, area of residence, education, physical activity, BMI, tobacco smoking, alcohol drinking and non-alcohol energy.7
Vitamin B6
Folate
Jessri et al., 2011 [6]IranESCCHBCC40–75 143 (47)FFQ-125 items, validated Vitamin B2T3 vs. T1Age (years), sex (male/female), gastroesophageal reflux disease symptoms, BMI, smoking status, smoking intensity, smoking duration, physical activity, and education level.8
Vitamin B6
Folate
Vitamin B12
Chen et al., 2002 [25]USEACPBCC>21 573 (124)DHQ, validatedVitamin B2Q4 vs. Q1Age, age squared, gender, respondent type, BMI, alcohol use, tobacco use, education level, family history of respective cancers, and vitamin supplement use.7
Vitamin B6
Folate
Tuyns et al., 1987 [30]FranceMix-typePBCCN/A2718 (743)DHQ-40 items, validatedVitamin B2>2.0 mg/day vs. <1.5 mg/dayAge, alcohol consumption, and tobacco smoking.6
Vitamin B6>3.0 mg/day vs. <2.0 mg/day
Vitamin B12>10.0 μg/day vs. <5.0 μg/day
Tzonou et al., 1996 [31]GreeceESCC/EACHBCCN/A243 (43)/256 (56)FFQ-115 items, validatedVitamin B2Q5 vs. Q1Gender, age, birthplace, schooling, height, analgesic use, coffee drinking, alcohol intake, tobacco smoking, and energy intake (though not mutually analyzed).6
Hu et al., 1994 [32]China Mix-typeHBCCN/A588 (196)FFQ-32 items, N/AVitamin B2Q4 vs. Q1Alcohol intake, smoking, household income, and occupation.7
Launoy et al., 1998 [35]FranceESCCHBCC<85 607 (208)DHQ-39 items, N/AVitamin B6>2.5 mg/day vs. <1.5 mg/dayInterviewer, age, smoking, beer intake, aniseed aperitifs, hot Calvados, whisky, total alcohol intake, and total energy intake.7
Galeone et al., 2006 [34]Italy and SwissESCCHBCC<801226 (351)FFQ-78 items, validatedVitamin B6>2.249 mg/day vs. <1.722 mg/dayEducation, BMI, tobacco smoking, and alcohol drinking.8
Folate>305.1 μg/day vs. <228.1 μg/day
Ibiebele et al., 2011 [8]AustraliaESCC/EACPBCC18–79 1732 (225)/2120 (613)FFQ-135 items, N/AVitamin B24.9 mg/d vs. 1.65 mg/dayAge, gender, education, BMI 1 year previously, frequency of heartburn or acid reflux 10 year prior to diagnosis, lifetime alcohol intake, pack-years of smoking, NSAID use, and total energy intake.7
Vitamin B62.3 mg/day vs. 0.7 mg/day
Folate504.5 μg/day vs. 136.0 μg/day
Vitamin B124.95 μg/day vs. 0.55 μg/day
Sharp et al., 2013 [7]Ireland EACPBCC≤85 479 (223)FFQ-101 items, validatedVitamin B2≥2.8 mg/day vs. ≤1.8 mg/dayAge, sex, total energy, years of full-time education, BMI, and alcohol intake.8
Vitamin B6≥3.2 mg/day vs. ≤2.3 mg/day
Folate≥421 μg/day vs. ≤318 μg/day
Vitamin B12≥9.7 μg/day vs. ≤6.4 μg/day
Stefani et al., 2006 [36]UruguayESCCHBCCN/A1266 (234)FFQ-64 items, validatedFolateQ4 vs. Q1Age, sex, residence, urban/rural status, birthplace, education, BMI, smoking status, years since quitting smoking, number of cigarettes smoked per day, alcohol drinking, mate consumption, and total energy intake.7
Mayne et al., 2001 [27]USESCC/EACPBCC30–79 893 (206)/969 (282)FFQ-104 items, validatedVitamin B275th vs. 25thSex, location, age, race, proxy status, income, education, usual BMI, cigarettes smoked/day, years of consuming beer, wine, and/or hard liquor, and energy intake.8
Vitamin B6
Folate
Vitamin B12
Tang et al., 2014 [40]China Mix-typeHBCCN/A739 (359)FFQ-137 items, validatedFolate>204.5 μg/day vs. <104.5 μg/dayAge, gender, education level, BMI, total energy intake, smoking status, alcohol drinking, and family history of cancer in first-degree relatives. 6
Tavani et al., 2012 [38]ItalyMix-typeHBCCN/A1767 (505)FFQ-78 items, validatedFolate≥312.5 μg/day vs. ≤257.3 μg/daySex, age, study center, year of interview, education, alcohol drinking, tobacco smoking, BMI, total energy intake, and physical activity at work.7
Zhao et al., 2011 [41]ChinaESCCHBCC37–75 465 (155)FFQ-45 items, N/AFolate>300 μg/day vs. <230 μg/dayAge, sex, smoking, and drinking.7
Brown et al., 1988 [28]USMix-typePBCC≤79 629 (207)DHQ, N/AVitamin B2high vs. lowUse of cigarettes and/or alcohol.6
Folate
Aune et al., 2011 [37]UruguayMix-typeHBCC<90 2266 (234)FFQ-64 items, N/AFolate275.31 μg/day vs. 123.83 μg/dayAge, sex, residence, education, income, interviewer, smoking status, cigarettes per day, duration of smoking, age at starting smoking, years since quitting smoking, calcium, dietary fiber, and iron intake, mate drinking, BMI, and energy intake.7
Stefani et al., 1999 [26]UruguayMix-TypeHBCCN/A459 (66)FFQ-64 items, N/AVitamin B2T3 vs. T1Age, sex, residence, urban/rural status, education, BMI, tobacco smoking (in pack-years), alcohol drinking, and total energy intake.6
Vitamin B6
Folate
Vitamin B12
Yang et al., 2005 [42]JapanMix-typeHBCC18–80 660 (165)FFQ-47 items, validatedFolate>400 μg/day vs. <300 μg/daySmoking, drinking, and total energy,6
Bollschweiler et al., 2002 [39]Germany ESCC/EACPBCC>40 102 (52)/97 (47)FFQ-110 items, validatedFolate>164 μg/day vs. 0–120 μg/dayN/A6
Xiao et al., 2014 [33]USESCC/EACCohort50–71 490,780 (185)/491,169 (574)FFQ-124 items, validatedVitamin B62.7 mg/day vs. 1.4 mg/dayN/A7
Folate566 μg/day vs. 288 μg/day
Vitamin B127.3 μg/day vs. 2.5 μg/day
Abbreviations: BMI, body mass index; EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell cancer; PBCC, population-based case-control; HBCC, hospital-based case-control; DHQ, Dietary History Questionnaire; FFQ, Food Frequency Questionnaire; NSAID, nonsteroidal anti-inflammatory drug; N/A, not available.
Table
Table 2. Subgroup analyses between the intake of three dietary one-carbon metabolism-related B vitamins and the risk of EC.
Table 2. Subgroup analyses between the intake of three dietary one-carbon metabolism-related B vitamins and the risk of EC.
Vitamin B6 Folate Vitamin B12
NCases/controlsOR (95%CI)I2p-ValueNCases/ControlsOR (95%CI)I2p-ValueNCases/ControlsOR (95%CI)I2p-Value
Overall 144151/497,9740.59 (0.52–0.66)46.8%0.027 215158/501,5830.62 (0.56–0.68)40.2%0.030 103164/495,5081.30 (1.05–1.62)73.5%0.000
Geographic Location
Asia----- 3679/11850.77 (0.59–1.01)0.0%0.575 -----
America71484/492,2190.59 (0.51–0.69)49.1%0.067 102159/496,3920.58 (0.51–0.67)37.3%0.110 61360/492,4571.26 (1.03–1.53)50.7%0.071
Europe51829/42530.51 (0.34–0.78)66.6%0.017 61482/31860.51 (0.40–0.65)49.8%0.076 2966/22312.54 (1.16–5.53)81.2%0.021
Australia2838/15070.57 (0.44–0.74)0.0%0.442 2838/15070.74 (0.58–0.95)0.0%0.764 2838/15070.93 (0.73–1.19)0.0%0.771
Histological Type
EAC51816/493–4930.58 (0.49–0.68)0.0%0.487 61863/493,5440.60 (0.51–0.69)34.1%0.181 41692/493,2451.47 (1.02–2.11)82.9%0.001
ESCC71526/494–9010.47 (0.33–0.67)64.7%0.009 91759/495,8940.61 (0.51–0.73)28.2%0.194 4663/492,8841.00 (0.63–1.61)74.55%0.008
Dietary Assessment (FFQ/DHQ)
Validated 103039/495–6750.58 (0.50–0.66)39.4%0.095 153658/497,5560.59 (0.52–0.66)49.1%0.017 72260/493,6081.45 (1.10–1.91)75.8%0.000
N/A 41112/22990.56 (0.38–0.83)68.2%0.024 61500/46640.70 (0.58–0.85)0.0%0.641 33164/19001.03 (0.84–1.26)8.4%0.335
Study Design
HBCC4910/21130.41 (0.20–0.84)77.2%0.004 92354/72250.59 (0.44–0.77)55.3%0.022 147/3801.33 (0.59–2.99)--
PBCC82482/52670.58 (0.50–0.67)5.8%0.385 102045/37640.61 (0.52–0.70)22.8%0.233 72358/55051.42 (1.10–1.84)75.6%0.000
Cohort2758/490,5940.51 (0.28–0.94)73.0%0.054 2759/490,5940.51 (0.28–0.94)73.0%0.054 2759/490,5940.86 (0.37–1.99)85.5%0.008
Samples
≥500113815/497–2290.58 (0.51–0.65)40.9%0.076 154568/500,4780.62 (0.42–0.76)38.7%0.063 72828/494,7631.19 (0.96–1.47)70.5%0.002
<5003336/7450.47 (0.23–0.98)72.1%0.028 6590/11050.48 (0.30–0.78)51.4%0.068 3336/7451.89 (0.90–3.98)80.0%0.007
Abbreviations: EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell cancer; PBCC, population-based case-control; HBCC, hospital-based case-control; DHQ, Dietary History Questionnaire; FFQ, Food Frequency Questionnaire; N/A, not available; OR, odds ratio; CI, confidence interval.

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Qiang, Y.; Li, Q.; Xin, Y.; Fang, X.; Tian, Y.; Ma, J.; Wang, J.; Wang, Q.; Zhang, R.; Wang, J.; et al. Intake of Dietary One-Carbon Metabolism-Related B Vitamins and the Risk of Esophageal Cancer: A Dose-Response Meta-Analysis. Nutrients 2018, 10, 835. https://doi.org/10.3390/nu10070835

AMA Style

Qiang Y, Li Q, Xin Y, Fang X, Tian Y, Ma J, Wang J, Wang Q, Zhang R, Wang J, et al. Intake of Dietary One-Carbon Metabolism-Related B Vitamins and the Risk of Esophageal Cancer: A Dose-Response Meta-Analysis. Nutrients. 2018; 10(7):835. https://doi.org/10.3390/nu10070835

Chicago/Turabian Style

Qiang, Yuzhen, Qianwen Li, Yongjuan Xin, Xuexian Fang, Yongmei Tian, Jifei Ma, Jianyao Wang, Qingqing Wang, Ruochen Zhang, Junhao Wang, and et al. 2018. "Intake of Dietary One-Carbon Metabolism-Related B Vitamins and the Risk of Esophageal Cancer: A Dose-Response Meta-Analysis" Nutrients 10, no. 7: 835. https://doi.org/10.3390/nu10070835

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