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Methylenetetrahydrofolate reductase polymorphisms and interaction with smoking and alcohol consumption in lung cancer risk: a case-control study in a Japanese population

BMC Cancer volume 11, Article number: 459 (2011) Cite this article

Abstract

Background

Cigarette smoking is an established risk factor of lung cancer development while the current epidemiological evidence is suggestive of an increased lung cancer risk associated with alcohol consumption. Dietary folate, which is present in a wide range of fresh fruits and vegetables, may be a micronutrient that has a beneficial impact on lung carcinogenesis. Methylenetetrahydrofolate reductase (MTHFR) plays a crucial role in regulating folate metabolism, which affects both DNA synthesis/repair and methylation. We examined if smoking or alcohol consumption modify associations between MTHFR polymorphisms and lung cancer risk.

Methods

We evaluated the role of the MTHFR C677T (rs1801133) and A1298C (rs1801131) polymorphisms in a case-control study comprised of 462 lung cancer cases and 379 controls in a Japanese population. Logistic regression was used to assess the adjusted odds ratios (OR) and 95% confidence intervals (95% CI).

Results

The TT genotype of the C677T polymorphism was significantly associated with an increased risk of lung cancer (OR = 2.27, 95% CI = 1.42 - 3.62, P < 0.01) while the A1298C polymorphism was not associated with lung cancer risk. The minor alleles of both polymorphisms behaved in a recessive fashion. The highest risks were seen for 677TT-carriers with a history of smoking or excessive drinking (OR = 6.16, 95% CI = 3.48 - 10.9 for smoking; OR = 3.09, 95% CI = 1.64 - 5.81 for drinking) compared with C-carriers without a history of smoking or excessive drinking, but no interactions were seen. The 1298CC genotype was only associated with increased risk among non-smokers (P < 0.05), and smoking was only associated with increased risks among 1298A-carriers (P < 0.01), but no significant interaction was seen. There was a synergistic interaction between the A1298C polymorphism and drinking (P < 0.05). The highest risk was seen for the CC-carriers with excessive drinking (OR = 7.24, 95% CI = 1.89 - 27.7) compared with the A-carriers without excessive drinking).

Conclusions

The C677T polymorphism was significantly associated with lung cancer risk. Although the A1298C polymorphism was not associated with lung cancer risk, a significant interaction with drinking was observed. Future studies incorporating data on folate intake may undoubtedly lead to a more thorough understanding of the role of the MTHFR polymorphisms in lung cancer development.

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Background

Lung cancer remains one of the major causes of mortality worldwide [1]. Although cigarette smoking is the primary risk factor for lung cancer, approximately one in 10 smokers develops lung cancer in their lifetime indicating an interindividual variation in susceptibility to tobacco smoke [2]. Other factors such as dietary factors may also play an important role in the etiology of lung cancer. Convincing evidence shows an inverse association between fruit and vegetable intake and lung cancer risk [3–5].

Genetic host factors have been implicated in some of the observed differences in susceptibility. To date, candidate susceptibility genes for lung cancer have been extensively studied, with most of the work focusing on mechanistically plausible polymorphisms in genes coding for enzymes involved in the activation, detoxification and repair of damage caused by tobacco smoke. In addition to metabolic polymorphisms, functional polymorphisms in folate metabolizing genes can also be good candidate susceptibility polymorphisms for lung cancer susceptibility. Folate, which is unsynthesizable by humans, is one of the major components of fruits and vegetables and may exert a beneficial impact on lung carcinogenesis [6]. Methylenetetrahydrofolate reductase (MTHFR), a key enzyme in folate metabolism, irreversibly catalyzes the conversion of 5,10-methylenetettrahydrofolate (5,10-methylene THF) to 5-methyltetrahydrofolate (5-methly THF). Two common functional MTHFR polymorphisms, C677T (rs1801133, A222V) and A1298C (rs1801131, E429A), have been the most studied. The TT genotype of the C677T polymorphism results in 30% enzyme activity in vitro compared with the CC genotype [7], whereas the CC genotype of the A1298C polymorphism has 60% enzyme activity of the AA genotype in vitro [8, 9]. Individuals with the genotypes involved in reduced enzyme activity had significantly increased homocysteine levels and decreased folate levels compared with individuals with their counterpart genotypes [10]. The importance of the MTHFR enzyme in cancer susceptibility arises from its involvement in two pathways of folate metabolism. 5,10-methylene THF is required for DNA synthesis and DNA repair, and 5-methyl THF is the methyl donor for regeneration of methionine from homocysteine for subsequent methylation reactions [11, 12]. Decrease in the activity of the MTHFR enzyme increases the pool of 5,10-methylene THF at the expense of the pool of 5-methyl THF (contributes to downstream methylation reactions by regeneration of methionine from homocysteine). Enhanced availability of 5,10-methylene THF in the DNA synthesis pathway reduces misincorporation of uracil into DNA, which might otherwise result in strand breaks during uracil excision repair, thus increasing the risk of chromosomal aberrations [11]. Therefore, it is probable that the decreased availability of 5-methyl THF for DNA methylation is the crucial mechanism behind the expected increased risk of lung cancer in subjects with the genotypes related to low MTHFR activity.

Lung cancer is a common disease that results from a complex interplay of genetic and environmental risk factors. It has been reported that there are lower circulating folate concentrations in smokers than in nonsmokers [13, 14] although a considerable portion of the effect of cigarette smoking on folate concentrations may be indirect (different intake of smokers and nonsmokers). Alcohol consumption has been shown to reduce folate bioavailability [15]. Smokers (established high risk population) or drinkers (suspected high risk population) with a genotype associated with decreased folate levels may be more susceptible to lung cancer than expected from the independent effects of the two (smoking/drinking and genetic) separate factors. As smoking and drinking may interact with the MTHFR genotypes to induce lung carcinogenesis, we conducted a case-control study of lung cancer in a Japanese population with special attention to the interaction between the MTHFR polymorphisms and either cigarette smoking or alcohol drinking.

Methods

Study subjects and data collection

Lung cancer patients were recruited at Kyushu University Hospital (Research Institute for Diseases of the Chest, Kyushu University) and its collaborating hospitals. Eligible cases were newly diagnosed and histologically confirmed primary lung cancer during the period from 1996 to 2008. Histological types were categorized into four major types according to the International Classification of Diseases for Oncology (ICD-O), second edition: adenocarcinoma (8140, 8211, 8230-8231, 8250-8260, 8323, 8480-8490, 8550-8560, 8570-8572), squamous cell carcinoma (8050-8076), small cell carcinoma (8040-8045) and large cell carcinoma (8012-8031, 8310). The participation rate among the cases was 100%. Three hundred and seventy nine potential controls were selected from inpatients without having a clinical history of any type of cancer, past or present, ischemic heart disease and chronic respiratory diseases who stayed in departments other than departments of respiratory medicine, such as the department of internal medicine, in the collaborating hospitals during the same period because hospital controls are more motivated and are more easily accessible for obtaining DNA samples. Controls were not, individually or in larger groups, matched to cases. Controls were approached by their attending physicians to be recruited as control subjects. None of the controls refused to participate in this study. A self-administered questionnaire was used to collect data on demographic and lifestyle factors such as age, years of education, smoking, alcohol consumption, environmental tobacco exposure from spouse and so on. All subjects were unrelated ethnic Japanese.

The study protocol was approved by our institutional review board, and all participants provided written informed consent.

Genetic analyses

Genomic DNA was extracted from blood samples. Genotyping was conducted with blinding to case/control status. The genotyping of the C677T polymorphism was performed with TaqMan assay (genotyping protocols supplied centrally by IARC because this single nucleotide polymorphism (SNP) genotyping is part of an IARC-oriented international collaborative study on lung cancer) while the A1298C genotypes were evaluated independently of the IARC-oriented international collaborative study on lung cancer using the PCR-restriction fragment length polymorphism (RFLP) method described elsewhere [8]. Generally, the concordance rate between PCR-RFLP genotyping and real-time PCR assay is high [16]. For quality control, both assays were repeated on a random 5% of all samples, and the replicates were 100% concordant.

Statistical analysis

To test for associations between SNPs and lung cancer, we defined the ancestral allele using the National Center for Biotechnology Information SNP database as the major allele. We assessed HWE via a goodness-of-fit χ2 test (Pearson) to compare the observed and expected genotype frequencies among controls. Based on the results from functional studies and the associations between MTHFR polymorphisms and lung cancer, we designated the genotype that is presumed to increase the risk of lung cancer as the "at-risk" genotype. The trend of association was assessed by a logistic regression model assigning ordinal scores to the levels of the independent variable. Unconditional logistic regression was used to compute the odds ratios (ORs) and their 95% confidence intervals (CIs), with adjustments for several covariates found to be associated with risk (age, sex, smoking status and education). Subjects were considered current smokers if they had smoked or stopped smoking less than one year before either the date of diagnosis (lung cancer patients) or the date of completion of the questionnaires (controls). Non-smokers were defined as those who had never smoked in their lifetime. Former smokers were those who had stopped smoking one or more years before either the date of diagnosis of lung cancer (lung cancer patients) or the date of completion of the questionnaires (controls). Based on "Healthy Japan 21" (National Health Promotion in the 21st Century), heavy drinkers were defined as those who drank more than 60 g per day of alcohol [17]. As "Healthy Japan 21" has emphasized drinking an appropriate volume of alcohol (20 g of alcohol per day), appropriate drinkers were defined as those who did not exceed 20 g of alcohol intake per day. The appropriate volume of alcohol use may have a protective effect on life expectancy and morbidity [18]. Moderate drinkers were defined as those who drank alcohol more than 20 g per day but not exceeding 60 g per day. Unlike cigarette smoking, ingested alcohol is eliminated from the body by various metabolic mechanisms, and the alcohol elimination process begins almost immediately. Significant relationships between excessive drinking and lung cancer have been reported while appropriate drinking has not shown the same effects [19]. In terms of alcohol consumption, the subjects were classified into the following two groups based on their intake for at least one year as follows: those who drink more than 20 g of alcohol per day (excessive drinkers) and those who drink less than 20 g of alcohol per day (appropriate drinkers). The interaction between MTHFR polymorphisms and smoking/drinking on the risk of lung cancer was statistically evaluated based on the likelihood test, comparing the models with and without (multiplicative scale) terms for interaction. We used two logistic regression models to specifically test for dominant versus recessive inheritance of the effects of the T allele. In the dominant model, we hypothesized that the MTHFR C677T (A1298C) genotypes CT (AC) and TT (CC) contributed equally to lung risk, and we coded CC (AA) = 0, CT (AC) = 1 and TT (CC) = 1. In the recessive model, we hypothesized that only the TT (CC) genotype contributed to the risk of the disease, and we coded CC (AA) = 0, CT (AC) = 0 and TT (C) = 1. The log-likelihood statistics of each model were compared with the general logistic regression log likelihood that jointly fitted both dominant and recessive effects. Linkage disequilibrium between the C677T and A1298C polymorphisms was calculated with HaploView software version 4.2 [20].

All statistical analyses were performed using the computer program STATA Version 10.1 (STATA Corporation, College Station, TX). All P values were two-sided, with those less than 0.05 considered statistically significant.

Results

The distributions of selected characteristics among study subjects are summarized in Table 1. Our analysis included 462 lung cancer patients (242 with adenocarcinoma, 131 with squamous cell carcinoma, 69 with small cell carcinoma, and 20 with large cell carcinoma). As controls were not selected to match lung cancer patients on age and sex, there was a significant difference in age (P < 0.01) and sex ratio (P < 0.01) between lung cancer patients and controls. Similarly, there were significant differences between cases and controls in terms of sex ratio, smoking status, pack-years of smoking and years of education.

Table 1 Selected characteristics of lung cancer cases and controls
Full size table

As shown in Table 2, the frequencies of the CC (ancestral based on National Center for Biotechnology Information SNP database), CT and TT genotypes of the MTHFR C677T polymorphism were 33.1%, 43.5% and 23.4% in cases and 41.7%, 44.9% and 13.5% in controls, respectively. The genotype distribution of the C677T polymorphism was consistent with HWE among controls (PHWE = 0.62). The distributions of the AA (ancestral), AC and CC genotypes of the A1298 polymorphism were 60.2%, 33.3% and 6.49% in cases and 63.1%, 32.2% and 4.75% in controls, respectively. This polymorphism was also in HWE among controls (PHWE = 0.63). The TT genotype of the C677T polymorphism was significantly associated with an increased risk of lung cancer compared with the CC genotype (adjusted OR = 2.27, 95% CI = 1.42 - 3.63, P < 0.01). With the CC genotype as reference, the OR for the combined TT and CT genotypes was 1.49 (95% CI = 1.08 - 2.07, P = 0.02) (dominant model). Comparing the dominant model with the general model, the χ2 value was 6.37 (P = 0.01), so the dominant model was rejected. Using the CC and CT genotypes combined as the reference, the OR for the TT genotype was 2.00 (95% CI = 1.30 - 3.07, P < 0.01), and the χ2 value of the recessive model was 1.81 (P = 0.18) against the general model. These findings suggest a recessive effect of the T allele on lung cancer risk. On the other hand, the association of rs18001131 with lung cancer was not significant in the general, dominant and recessive models. The χ2 value of the dominant model was 1.60 (P = 0.21) against the general model while that of the recessive model was 0.041 (P = 0.84). These findings suggest that the recessive model fits better than the dominant model. Based on the results of the likelihood ratio test, subjects with at least one ancestral allele were bundled in one group for subsequent analysis. A high degree of linkage disequilibrium was observed between the C677T and A1298C polymorphisms (D' = 0.93, r2 = 0.26; data not shown).

Table 2 Association between the MTHFR polymorphisms and risk of lung cancer
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Table 3 shows the modifying effect of the C677T genotypes on the association of smoking or drinking with lung cancer risk. To achieve adequate statistical power, current and former smokers were combined (ever-smokers). A history of smoking (adjusted OR = 3.17; 95% CI = 2.28 - 4.40, P < 0.01) and excessive drinking (adjusted OR = 1.76; 95% CI = 1.27 - 2.43, P < 0.01) were associated with an increased risk of lung cancer (data not shown). Smokers with the TT genotype ("at-risk" genotype) (adjusted OR = 6.16, 95% CI = 3.48 - 10.9, P < 0.01) had a significantly higher risk of lung cancer than non-smokers with at least one C allele (reference). The "at-risk" genotype was associated with an increased risk of lung cancer in both non-smokers (OR = 1.95, 95% CI = 0.99 - 3.84, P = 0.053) and ever-smokers (OR = 1.97, 95% CI = 1.14 - 3.12, P = 0.015, data not shown). Ever-smoking was associated with an increased risk of lung cancer in both subjects with at least one C allele (OR = 3.03, 95% CI = 2.12 - 4.34, P < 0.01) and those with the "at-risk" genotype (OR = 3.17, 95% CI = 1.35 -7.41, P < 0.01, data not shown). The multiplicative interaction between the C677T genotypes and smoking was far from significant (P = 0.93). Similarly, excessive drinkers with the "at-risk" genotype (adjusted OR = 3.09, 95% CI = 1.64 - 5.81, P < 0.01) had a higher risk of lung cancer than appropriate drinkers with at least one C allele (reference). The "at-risk" genotype was associated with an increased risk of lung cancer in both appropriate drinkers (OR = 2.46, 95% CI = 1.37 - 4.43, P < 0.01) and excessive drinkers (OR = 1.58, 95% CI = 0.86 - 2.89, P = 0.14, data not shown). Excessive drinking was significantly associated with an increased risk of lung cancer in subjects with at least one C allele (OR = 1.97, 95% CI = 1.38 -2.82, P < 0.01) but not in those with the "at-risk" genotype (OR = 1.22, 95% CI = 0.52 - 2.82, P = 0.65, data not shown). No evidence of interaction between the C667T polymorphism and drinking was detected (Pinteraction = 0.30).

Table 3 Interaction of the MTHFR C677T polymorphism and cigarette smoking or alcohol drinking
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We assessed interactions between the A1298C polymorphism and smoking or drinking. As shown in Table 4, smokers with the CC genotype ("at-risk" genotype) (adjusted OR = 3.15, 95% CI = 1.24 - 7.98) had a significantly higher risk of lung cancer than non-smokers with at least one A allele (reference). The "at-risk" genotype was significantly associated with an increased risk of lung cancer in non-smokers (OR = 2.82, 95% CI = 1.02 - 7.83, P = 0.049) but not in ever-smokers (OR = 0.88, 95% CI = 0.35 - 2.02, P = 0.79, data not shown). Ever-smoking was significantly associated with an increased risk of lung cancer in subjects with at least one C allele (OR = 3.40, 95% CI = 2.42 -4.78, P < 0.01) but not in those with the "at-risk" genotype (OR = 0.86, 95% CI = 0.17 - 4.26, P = 0.86, data not shown). There was no significant interaction between the A1298C polymorphism and smoking (Pinteraction = 0.11). Excessive drinkers with the "at-risk" genotype (adjusted OR = 7.24, 95% CI = 1.89 - 27.7, P < 0.01) had a higher risk of lung cancer than those with at least one A allele (adjusted OR = 1.64, 95% CI = 1.18 - 2.29, P < 0.01), relative to appropriate drinkers with at least one A allele (reference). The "at-risk" genotype was significantly associated with an increased risk of lung cancer in excessive drinkers (OR = 3.96, 95% CI = 1.08 - 14.5, P < 0.01, data not shown) but not in appropriate drinkers (OR = 0.86, 95% CI = 0.35 - 2.16, P = 0.76). Excessive drinking was significantly associated with an increased risk of lung cancer in both subjects with at least one A allele (OR = 1.64, 95% CI = 1.18 - 2.29, P < 0.01) and those with the "at-risk" genotype (OR = 11.8, 95% CI = 1.81 - 76.5, P = 0.01, data not shown). The multiplicative (synergistic) interaction measure was statistically significant (Pinteraction = 0.049).

Table 4 Interaction of the MTHFR A1298C polymorphism and cigarette smoking or alcohol drinking
Full size table

Discussion

The present study showed that the TT genotype of the MTHFR C677T polymorphism was significantly associated with an increased risk of lung cancer (OR = 2.27, 95% CI = 1.42 - 3.62, P < 0.01). Although the MTHFR A1298C polymorphism was not associated with lung cancer risk, there was a significant synergistic interaction between the A1298C polymorphism and alcohol consumption (Pinteraciton = 0.049).

Among controls, the prevalences of the C allele of the C677T polymorphism and the A allele of the A1298C polymorphism were 64.1% and 79.1%, respectively (data not shown). According to the HapMap SNP database [21], the C allele frequency of the C677T polymorphism is most common among Yorubas (a West African ethnic group, 89.7%) and least common among Han Chinese (48.9%); Japanese (63.3%) and Caucasians (76.3%) have intermediate frequencies. The frequency of the C allele in our study was similar to the HapMap SNP database. Meanwhile, the A allele frequencies of the A1298C polymorphism among Caucasians, Han Chinese, Japanese and Yorubas were 64.2%, 80.0%, 82.2% and 89.2%, respectively, according to the HapMap SNP database [22]. The frequency of the A allele in our study was somewhat lower than the HapMap SNP database but similar to other Japanese populations [23–25] (79.0%, 78.4% and 78.9%).

As shown in Table 2, the TT genotype of the MTHFR C677T polymorphism was significantly associated with an increased risk of lung cancer (OR = 2.27, 95% CI = 1.42 - 3.62). Results in terms of the association between the C677T polymorphism and lung cancer yielded mixed, variously reporting an increased risk [26–31], a decreased risk [25, 32–35] or no association [36–39]. Two meta-analyses on the association between lung cancer and the MTHFR polymorphisms have been published in 2008 [40] and 2009 [41], respectively. The first meta-analysis [40] based on the published data from eight individual case-control studies [25–29, 32, 33, 37] reported that the summary OR for the TT genotype was 1.12 (95% CI = 0.97 -1.28) compared with the CC genotype. The second meta-analysis [41] reported that the summary OR for the TT genotype was 1.37 (95% CI = 1.02 - 1.84) when excluding studies conducted in the USA, where some common food items are regularly fortified with folate since 1998 [42]. Differences in ethnicity, dietary intake, exposure to environmental carcinogens and sample size may be responsible for the discrepancies in the results. It has been suggested that cancer risk associated with the MTHFR polymorphisms may be modulated by folate intake [43, 44]. Folate supplements (excessive) have been shown to increase folic acid levels, reduce homocysteine levels and then restore normal methionine levels, particularly in these individuals with the TT genotype of the MTHFR polymorphism [45, 46] although the mechanism remains unclear. Normal methionine levels may not induce aberrant DNA methylation [43]. When folate is excess, the C677T polymorphism may not affect lung cancer risk. Since Japanese drink several cups of green tea daily and consume substantial vegetables and fruits [47], folate insufficiency is rare. As the prevalence of folate supplement users is very low in Japan (0.1%) [48], excessive folate intake is also rare. When folate intake is sufficient, individuals with the TT genotype of the C677T polymorphism may have an increased risk of lung cancer, because decrease in MTHFR activity might lead to impairment of DNA methylation due to a reduction in the availability of 5-methyl THF.

The A1298C polymorphism was not associated with lung cancer risk in the present study. The A1298C polymorphism, which has been much less examined, was not associated with lung cancer risk in this study. Although the C677T and A1298C polymorphisms are in strong linkage disequilibrium, the different impacts of the two polymorphisms may be expected due to their location within the protein and subsequent effect on function. The meta-analysis [40] of seven studies [25–29, 33, 37] also showed no association between lung cancer and the A1298C polymorphism. Two [33, 38] of 10 studies [25–29, 31, 33, 34, 37, 38] showed a significant deleterious effect of the CC genotype of the A1298C polymorphism on lung cancer. The lower prevalence of the C allele of the A1298C polymorphism may make researchers less likely to detect a significant association. It is difficult to estimate accurately the combined effects of the C677T and A1298C polymorphisms on lung cancer risk in the current sample size. The TT genotype of the C677T polymorphism has a greater impact on enzyme function [7–9]. Moreover, several in vivo studies demonstrated an association between the TT genotype of the C677T polymorphism and increased total homocysteine plasma levels in healthy subjects while limited and inconsistent data on the role of the A1298C polymorphism as determinant of total homocysteine plasma levels are available [49, 50]. The C677T polymorphism may have confounded the results concerning the A1298C polymorphism. Further research on larger study populations is required before definitive conclusions can be drawn.

It is widely accepted that lung cancer development requires environmental factors acting on a genetically predisposed individual. Studying gene-environment interactions in relation to risk of lung cancer may be valuable because positive findings would clearly implicate the substrates with which the gene interacts as disease-causing exposures, clarify lung cancer etiology, and point to environmental modifications for disease prevention. We evaluated whether an interaction existed between cigarette smoking and the C677T or A1298C polymorphism (Tables 3 and 4). Interaction refers to the extent to which the joint effect of two risk factors on lung cancer differs from the independent effects of each of the factors. Two risk factors (MTHFR genotype and smoking/drinking) may act independently or interact thereby increasing or decreasing the effect of one another. A gene-environment interaction was suggested, with a combination of the TT genotype and smoking conferring significantly higher risk (OR = 6.16, 95% CI = 3.48 - 10.9), compared with at least one C allele and no history of smoking. Smoking (OR = 3.17) and the TT genotype of the C677T polymorphism (OR = 2.00) act independently (3.17*2.00 = 6.34 ≈ 6.16). There was no significant interaction between smoking and the C677T polymorphism with lung cancer. There was also no significant effect modification by the A1298C polymorphism in the association of smoking and lung cancer (Pinteraction = 0.11). However, the risk estimates indicated that smoking and the "at-risk" genotype did not seem to be associated with increased risk among those already at increased risk due to one of the two factors (smoking/"at-risk" genotype). Eight studies examined the interaction between smoking and the C677T or A1298C polymorphism [25, 31–35, 38, 51]. Differences in the direction and the strength of the interaction were observed. The difference in circulating folate levels between different populations may partly account for the findings [29, 52]. Furthermore, the differences may indicate a difference in susceptibility among different populations to smoking-induced lung cancer.

We evaluated the interaction between the C677T or A1298C polymorphism and alcohol drinking (Tables 3 and 4). Drinking (OR = 1.76) and the TT genotype of the C677T polymorphism (OR = 2.00) act independently (1.76*2.00 = 3.52 ≈ 3.09). No interaction of drinking and the C677T polymorphism with lung cancer was detected while we found a significant interaction between drinking and the A1298C polymorphism (Pinteraction = 0.049). Namely, excessive drinking (OR = 1.76) with the CC genotype (OR = 1.57) had an unexpectedly increased risk of lung cancer (1.76 *1.57 = 2.76 «7.23). As alcohol interferes with folate absorption and usage [53, 54] and serves as a methyl group antagonist [55], it is biologically plausible. Four studies examined the interaction between drinking and the C677T polymorphism [25, 29, 33, 36] or A1298C polymorphism [25, 33]. Statistically significant interaction between the A1298C polymorphism and alcohol consumption was observed in women (Pinteraction = 0.021) but not in men (Pinteraction = 0.569) [33]. Similarly, a significant interaction between drinking habits and the A1298C genotype was found (Pinteraction = 0.025) but the CC genotype of the A1298C polymorphism was associated with a lower lung cancer risk (OR = 0.36, 95% CI = 0.12 - 1.04) [25]. Findings from gene-environment interaction analyses must be interpreted with caution due to reduced numbers of observations in the subgroups. Replication of findings is very important before any causal inference can be drawn. Testing replication in different populations is an important step.

Several limitations of this study warrant mention. Our study may have included a bias due to the self-reporting of smoking habits and alcohol consumption (misclassification bias). However, discrepancies between self-reported smoking habits and biochemical verification are minimal among the general population [56, 57]. Similarly, the validity of self-reports on alcohol consumption is generally high [58, 59]. Recall bias is one of well-recognized potential problems in case-control studies. Lung cancer patients may remember their exposure with a higher (lower) accuracy or completeness than healthy controls do (recall bias). To use hospital control is one way of minimizing the impact of recall bias because the controls would generally have the same incentive as the cases to remember events in the past [60]. Case-control studies tend to susceptible to selection bias, particularly in the control group. Controls should represent the source population from which the cases were drawn. As lung cancer patients are more likely to be more male sex and be less educated compared to controls [61], our results on sex ratio and educational status might not always suggest the existence of selection bias. When using hospital-based cases, it may not be possible to define the population which the cases were drawn. Hospital controls may be more appropriate because the study population can be defined as potential hospital users [60]. Generally, the reported participation rates were slightly higher in hospital-based case-control studies than in population-based case-control studies [62]. Participation rates of cases and controls were very high in this study. High participation rate may reduce the possibility of selection bias [62]. However, as the possibility of recall and selection biases could not be completely excluded in case-control studies, our findings should be interpreted with caution. Finally, we did not have data on dietary folate intake. Since smoking is associated with decreased circulating folate levels due to low folate intake [63, 64], the observed interaction between alcohol consumption and the A1298 C polymorphism may be distorted by residual confounding by smoking. Additional studies are warranted to replicate our and others' findings from case-control genetic association studies.

Conclusions

The TT genotype of the C677T polymorphism was significantly associated with an increased risk of lung cancer. Although the A1298C polymorphism was not associated with lung cancer, a significant interaction with drinking was observed. Smoking interacted with neither the C677T nor A1298C polymorphism in the development of lung cancer. Our results should be interpreted cautiously because we did not have data on dietary folate intake. Future studies involving larger control and case populations and better exposure histories will undoubtedly lead to a more thorough understanding of the role of MTHFR in lung cancer development.

Abbreviations

CI:

confidence interval

HWE:

Hardy-Weinberg equilibrium

THF:

tetrahydrofolate

MTHFR:

methylenetetrahydrofolate reductase

OR:

odds ratio

RFLP:

fragment length polymorphism

SNP:

single nucleotide polymorphism

References

  1. 1.

    Parkin DM, Bray F, Ferlay J, Pisani P: Estimating the world cancer burden: Globocan 2000. Int J Cancer. 2001, 94: 153-156. 10.1002/ijc.1440.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Doll R, Peto R: The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. J Natl Cancer Inst. 1981, 66: 1191-1308.

    CAS  PubMed  Google Scholar 

  3. 3.

    Ziegler RG, Mayne ST, Swanson CA: Nutrition and lung cancer. Cancer Causes Control. 1996, 7: 157-177. 10.1007/BF00115646.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Smith-Warner SA, Spiegelman D, Yaun SS, Albanes D, Beeson WL, van den Brandt PA, Feskanich D, Folsom AR, Fraser GE, Freudenheim JL, et al: Fruits, vegetables and lung cancer: a pooled analysis of cohort studies. Int J Cancer. 2003, 107: 1001-1011. 10.1002/ijc.11490.

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Buchner FL, Bueno-de-Mesquita HB, Linseisen J, Boshuizen HC, Kiemeney LA, Ros MM, Overvad K, Hansen L, Tjonneland A, Raaschou-Nielsen O, et al: Fruits and vegetables consumption and the risk of histological subtypes of lung cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cancer Causes Control. 2010, 21: 357-371. 10.1007/s10552-009-9468-y.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Scott JM, Weir DG: Folic acid, homocysteine and one-carbon metabolism: a review of the essential biochemistry. J Cardiovasc Risk. 1998, 5: 223-227. 10.1097/00043798-199808000-00003.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Frosst P, Blom HJ, Milos R, Goyette P, Sheppard CA, Matthews RG, Boers GJ, den Heijer M, Kluijtmans LA, van den Heuvel LP, et al: A candidate genetic risk factor for vascular disease: a common mutation in methylenetetrahydrofolate reductase. Nat Genet. 1995, 10: 111-113. 10.1038/ng0595-111.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    van der Put NM, Gabreels F, Stevens EM, Smeitink JA, Trijbels FJ, Eskes TK, van den Heuvel LP, Blom HJ: A second common mutation in the methylenetetrahydrofolate reductase gene: an additional risk factor for neural-tube defects?. Am J Hum Genet. 1998, 62: 1044-1051. 10.1086/301825.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Weisberg I, Tran P, Christensen B, Sibani S, Rozen R: A second genetic polymorphism in methylenetetrahydrofolate reductase (MTHFR) associated with decreased enzyme activity. Mol Genet Metab. 1998, 64: 169-172. 10.1006/mgme.1998.2714.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Lievers KJ, Boers GH, Verhoef P, den Heijer M, Kluijtmans LA, van der Put NM, Trijbels FJ, Blom HJ: A second common variant in the methylenetetrahydrofolate reductase (MTHFR) gene and its relationship to MTHFR enzyme activity, homocysteine, and cardiovascular disease risk. J Mol Med. 2001, 79: 522-528. 10.1007/s001090100253.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Blount BC, Mack MM, Wehr CM, MacGregor JT, Hiatt RA, Wang G, Wickramasinghe SN, Everson RB, Ames BN: 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. 10.1073/pnas.94.7.3290.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Castro R, Rivera I, Ravasco P, Camilo ME, Jakobs C, Blom HJ, de Almeida IT: 5,10-methylenetetrahydrofolate reductase (MTHFR) 677C-->T and 1298A-->C mutations are associated with DNA hypomethylation. J Med Genet. 2004, 41: 454-458. 10.1136/jmg.2003.017244.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Chen AT, Reidy JA, Annest JL, Welty TK, Zhou HG: Increased chromosome fragility as a consequence of blood folate levels, smoking status, and coffee consumption. Environ Mol Mutagen. 1989, 13: 319-324. 10.1002/em.2850130407.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Piyathilake CJ, Hine RJ, Dasanayake AP, Richards EW, Freeberg LE, Vaughn WH, Krumdieck CL: Effect of smoking on folate levels in buccal mucosal cells. Int J Cancer. 1992, 52: 566-569. 10.1002/ijc.2910520412.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Shen H, Wei Q, Pillow PC, Amos CI, Hong WK, Spitz MR: Dietary folate intake and lung cancer risk in former smokers: a case-control analysis. Cancer Epidemiol Biomarkers Prev. 2003, 12: 980-986.

    CAS  PubMed  Google Scholar 

  16. 16.

    Johnson VJ, Yucesoy B, Luster MI: Genotyping of single nucleotide polymorphisms in cytokine genes using real-time PCR allelic discrimination technology. Cytokine. 2004, 27: 135-141. 10.1016/j.cyto.2004.05.002.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Healthy Japan 21. [http://www.kenkounippon21.gr.jp/kenkounippon21/about/kakuron/index.html]

  18. 18.

    Holman CD, English DR, Milne E, Winter MG: Meta-analysis of alcohol and all-cause mortality: a validation of NHMRC recommendations. Med J Aust. 1996, 164: 141-145.

    CAS  PubMed  Google Scholar 

  19. 19.

    Benedetti A, Parent ME, Siemiatycki J: Lifetime consumption of alcoholic beverages and risk of 13 types of cancer in men: results from a case-control study in Montreal. Cancer Detect Prev. 2009, 32: 352-362. 10.1016/j.canep.2009.03.001.

    Article  PubMed  Google Scholar 

  20. 20.

    Barrett JC, Fry B, Maller J, Daly MJ: Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005, 21: 263-265. 10.1093/bioinformatics/bth457.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    [http://www.ncbi.nlm.nih.gov/projects/SNP/snp_ref.cgi?rs=1801133]

  22. 22.

    NCBI dbSNP database. [http://www.ncbi.nlm.nih.gov/projects/SNP/snp_ref.cgi?rs=1801131]

  23. 23.

    Le Marchand L, Donlon T, Hankin JH, Kolonel LN, Wilkens LR, Seifried A: B-vitamin intake, metabolic genes, and colorectal cancer risk (United States). Cancer Causes Control. 2002, 13: 239-248. 10.1023/A:1015057614870.

    Article  PubMed  Google Scholar 

  24. 24.

    Inoue S, Hashiguchi M, Chiyoda T, Sunami Y, Tanaka T, Mochizuki M: Pharmacogenetic study of methylenetetrahydrofolate reductase and thymidylate synthase in Japanese and assessment of ethnic and gender differences. Pharmacogenomics. 2007, 8: 41-47. 10.2217/14622416.8.1.41.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Suzuki T, Matsuo K, Hiraki A, Saito T, Sato S, Yatabe Y, Mitsudomi T, Hida T, Ueda R, Tajima K: Impact of one-carbon metabolism-related gene polymorphisms on risk of lung cancer in Japan: a case control study. Carcinogenesis. 2007, 28: 1718-1725. 10.1093/carcin/bgm104.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Shen M, Rothman N, Berndt SI, He X, Yeager M, Welch R, Chanock S, Caporaso N, Lan Q: Polymorphisms in folate metabolic genes and lung cancer risk in Xuan Wei, China. Lung Cancer. 2005, 49: 299-309. 10.1016/j.lungcan.2005.04.002.

    Article  PubMed  Google Scholar 

  27. 27.

    Siemianowicz K, Gminski J, Garczorz W, Slabiak N, Goss M, Machalski M, Magiera-Molendowska H: Methylenetetrahydrofolate reductase gene C677T and A1298C polymorphisms in patients with small cell and non-small cell lung cancer. Oncol Rep. 2003, 10: 1341-1344.

    CAS  PubMed  Google Scholar 

  28. 28.

    Zhang XM, Miao XP, Tan W, Qu SN, Sun T, Zhou YF, Lin DX: [Association between genetic polymorphisms in methylentetrahydrofolate reductase and risk of lung cancer]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2005, 27: 700-703.

    CAS  PubMed  Google Scholar 

  29. 29.

    Hung RJ, Hashibe M, McKay J, Gaborieau V, Szeszenia-Dabrowska N, Zaridze D, Lissowska J, Rudnai P, Fabianova E, Mates I, et al: Folate-related genes and the risk of tobacco-related cancers in Central Europe. Carcinogenesis. 2007, 28: 1334-1340. 10.1093/carcin/bgm067.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Vineis P, Veglia F, Garte S, Malaveille C, Matullo G, Dunning A, Peluso M, Airoldi L, Overvad K, Raaschou-Nielsen O, et al: Genetic susceptibility according to three metabolic pathways in cancers of the lung and bladder and in myeloid leukemias in nonsmokers. Ann Oncol. 2007, 18: 1230-1242. 10.1093/annonc/mdm109.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Arslan S, Karadayi S, Yildirim ME, Ozdemir O, Akkurt I: The association between methylene-tetrahydrofolate reductase gene polymorphism and lung cancer risk. Mol Biol Rep. 2011, 38: 991-996. 10.1007/s11033-010-0194-z.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Jeng YL, Wu MH, Huang HB, Lin WY, You SL, Chu TY, Chen CJ, Sun CA: The methylenetetrahydrofolate reductase 677C-->T polymorphism and lung cancer risk in a Chinese population. Anticancer Res. 2003, 23: 5149-5152.

    CAS  PubMed  Google Scholar 

  33. 33.

    Shi Q, Zhang Z, Li G, Pillow PC, Hernandez LM, Spitz MR, Wei Q: Sex differences in risk of lung cancer associated with methylene-tetrahydrofolate reductase polymorphisms. Cancer Epidemiol Biomarkers Prev. 2005, 14: 1477-1484. 10.1158/1055-9965.EPI-04-0905.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Liu CS, Tsai CW, Hsia TC, Wang RF, Liu CJ, Hang LW, Chiang SY, Wang CH, Tsai RY, Lin CC, Bau DT: Interaction of methylenetetrahydrofolate reductase genotype and smoking habit in Taiwanese lung cancer patients. Cancer Genomics Proteomics. 2009, 6: 325-329.

    CAS  PubMed  Google Scholar 

  35. 35.

    Cui LH, Shin MH, Kim HN, Song HR, Piao JM, Kweon SS, Choi JS, Yun WJ, Kim YC, Oh IJ, Kim KS: Methylenetetrahydrofolate reductase C677T polymorphism in patients with lung cancer in a Korean population. BMC Med Genet. 2011, 12: 28-

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Heijmans BT, Boer JM, Suchiman HE, Cornelisse CJ, Westendorp RG, Kromhout D, Feskens EJ, Slagboom PE: A common variant of the methylenetetrahydrofolate reductase gene (1p36) is associated with an increased risk of cancer. Cancer Res. 2003, 63: 1249-1253.

    CAS  PubMed  Google Scholar 

  37. 37.

    Shen H, Spitz MR, Wang LE, Hong WK, Wei Q: Polymorphisms of methylene-tetrahydrofolate reductase and risk of lung cancer: a case-control study. Cancer Epidemiol Biomarkers Prev. 2001, 10: 397-401.

    CAS  PubMed  Google Scholar 

  38. 38.

    Liu H, Jin G, Wang H, Wu W, Liu Y, Qian J, Fan W, Ma H, Miao R, Hu Z, et al: Association of polymorphisms in one-carbon metabolizing genes and lung cancer risk: a case-control study in Chinese population. Lung Cancer. 2008, 61: 21-29. 10.1016/j.lungcan.2007.12.001.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Truong T, Sauter W, McKay JD, Hosgood HD, Gallagher C, Amos CI, Spitz M, Muscat J, Lazarus P, Illig T, et al: International Lung Cancer Consortium: coordinated association study of 10 potential lung cancer susceptibility variants. Carcinogenesis. 2010, 31: 625-633. 10.1093/carcin/bgq001.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Mao R, Fan Y, Jin Y, Bai J, Fu S: Methylenetetrahydrofolate reductase gene polymorphisms and lung cancer: a meta-analysis. J Hum Genet. 2008, 53: 340-348. 10.1007/s10038-008-0262-6.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Boccia S, Boffetta P, Brennan P, Ricciardi G, Gianfagna F, Matsuo K, van Duijn CM, Hung RJ: Meta-analyses of the methylenetetrahydrofolate reductase C677T and A1298C polymorphisms and risk of head and neck and lung cancer. Cancer Lett. 2009, 273: 55-61. 10.1016/j.canlet.2008.07.026.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Malinow MR, Duell PB, Hess DL, Anderson PH, Kruger WD, Phillipson BE, Gluckman RA, Block PC, Upson BM: Reduction of plasma homocyst(e)ine levels by breakfast cereal fortified with folic acid in patients with coronary heart disease. N Engl J Med. 1998, 338: 1009-1015. 10.1056/NEJM199804093381501.

    CAS  Article  PubMed  Google Scholar 

  43. 43.

    Chen J, Giovannucci E, Kelsey K, Rimm EB, Stampfer MJ, Colditz GA, Spiegelman D, Willett WC, Hunter DJ: A methylenetetrahydrofolate reductase polymorphism and the risk of colorectal cancer. Cancer Res. 1996, 56: 4862-4864.

    CAS  PubMed  Google Scholar 

  44. 44.

    Ma J, Stampfer MJ, Giovannucci E, Artigas C, Hunter DJ, Fuchs C, Willett WC, Selhub J, Hennekens CH, Rozen R: Methylenetetrahydrofolate reductase polymorphism, dietary interactions, and risk of colorectal cancer. Cancer Res. 1997, 57: 1098-1102.

    CAS  PubMed  Google Scholar 

  45. 45.

    Paul RT, McDonnell AP, Kelly CB: Folic acid: neurochemistry, metabolism and relationship to depression. Hum Psychopharmacol. 2004, 19: 477-488. 10.1002/hup.614.

    CAS  Article  PubMed  Google Scholar 

  46. 46.

    Astley SB: An introduction to nutrigenomics developments and trends. Genes Nutr. 2007, 2: 11-13. 10.1007/s12263-007-0011-z.

    Article  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Imaeda N, Goto C, Tokudome Y, Ikeda M, Maki S, Tokudome S: Folate intake and food sources in Japanese female dietitians. Environ Health Prev Med. 2002, 7: 156-161. 10.1007/BF02897944.

    Article  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Imai T, Nakamura M, Ando F, Shimokata H: Dietary supplement use by community-living population in Japan: data from the National Institute for Longevity Sciences Longitudinal Study of Aging (NILS-LSA). J Epidemiol. 2006, 16: 249-260. 10.2188/jea.16.249.

    Article  PubMed  Google Scholar 

  49. 49.

    Jacques PF, Bostom AG, Williams RR, Ellison RC, Eckfeldt JH, Rosenberg IH, Selhub J, Rozen R: Relation between folate status, a common mutation in methylenetetrahydrofolate reductase, and plasma homocysteine concentrations. Circulation. 1996, 93: 7-9.

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    Ashfield-Watt PA, Pullin CH, Whiting JM, Clark ZE, Moat SJ, Newcombe RG, Burr ML, Lewis MJ, Powers HJ, McDowell IF: Methylenetetrahydrofolate reductase 677C-->T genotype modulates homocysteine responses to a folate-rich diet or a low-dose folic acid supplement: a randomized controlled trial. Am J Clin Nutr. 2002, 76: 180-186.

    CAS  PubMed  Google Scholar 

  51. 51.

    Vineis P, Chuang SC, Vaissiere T, Cuenin C, Ricceri F, Johansson M, Ueland P, Brennan P, Herceg Z: DNA methylation changes associated with cancer risk factors and blood levels of vitamin metabolites in a prospective study. Epigenetics. 2011, 6: 195-201. 10.4161/epi.6.2.13573.

    CAS  Article  PubMed  Google Scholar 

  52. 52.

    Hao L, Ma J, Stampfer MJ, Ren A, Tian Y, Tang Y, Willett WC, Li Z: Geographical, seasonal and gender differences in folate status among Chinese adults. J Nutr. 2003, 133: 3630-3635.

    CAS  PubMed  Google Scholar 

  53. 53.

    Shaw S, Jayatilleke E, Herbert V, Colman N: Cleavage of folates during ethanol metabolism. Role of acetaldehyde/xanthine oxidase-generated superoxide. Biochem J. 1989, 257: 277-280.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  54. 54.

    Romero JJ, Tamura T, Halsted CH: Intestinal absorption of [3H]folic acid in the chronic alcoholic monkey. Gastroenterology. 1981, 80: 99-102.

    CAS  PubMed  Google Scholar 

  55. 55.

    Finkelstein JD, Cello JP, Kyle WE: Ethanol-induced changes in methionine metabolism in rat liver. Biochem Biophys Res Commun. 1974, 61: 525-531. 10.1016/0006-291X(74)90988-7.

    CAS  Article  PubMed  Google Scholar 

  56. 56.

    Patrick DL, Cheadle A, Thompson DC, Diehr P, Koepsell T, Kinne S: The validity of self-reported smoking: a review and meta-analysis. Am J Public Health. 1994, 84: 1086-1093. 10.2105/AJPH.84.7.1086.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  57. 57.

    Wells AJ, English PB, Posner SF, Wagenknecht LE, Perez-Stable EJ: Misclassification rates for current smokers misclassified as nonsmokers. Am J Public Health. 1998, 88: 1503-1509. 10.2105/AJPH.88.10.1503.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  58. 58.

    Hilton ME: A comparison of a prospective diary and two summary recall techniques for recording alcohol consumption. Br J Addict. 1989, 84: 1085-1092. 10.1111/j.1360-0443.1989.tb00792.x.

    CAS  Article  PubMed  Google Scholar 

  59. 59.

    Midanik LT: Perspectives on the validity of self-reported alcohol use. Br J Addict. 1989, 84: 1419-1423. 10.1111/j.1360-0443.1989.tb03920.x.

    CAS  Article  PubMed  Google Scholar 

  60. 60.

    dossantos Silva I: Case-control studies. Cancer epidemiology: principles and methods. 1999, Lyon, France International Agency for Research on Cancer, 189-212.

    Google Scholar 

  61. 61.

    Kiyohara C, Yoshimasu K, Shirakawa T, Hopkin JM: Genetic polymorphisms and environmental risk of lung cancer: a review. Reviews on Environmental Health. 2004, 19: 15-38. 10.1515/REVEH.2004.19.1.15.

    CAS  Article  PubMed  Google Scholar 

  62. 62.

    Morton LM, Cahill J, Hartge P: Reporting participation in epidemiologic studies: a survey of practice. Am J Epidemiol. 2006, 163: 197-203.

    Article  PubMed  Google Scholar 

  63. 63.

    Dastur DK, Quadros EV, Wadia NH, Desai MM, Bharucha EP: Effect of vegetarianism and smoking on vitamin B12, thiocyanate, and folate levels in the blood of normal subjects. Br Med J. 1972, 3: 260-263. 10.1136/bmj.3.5821.260.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  64. 64.

    Witter FR, Blake DA, Baumgardner R, Mellits ED, Niebyl JR: Folate, carotene, and smoking. Am J Obstet Gynecol. 1982, 144: 857-

    CAS  Article  PubMed  Google Scholar 

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Acknowledgements and Funding

This study was funded in part by a Grant-in-Aid for Scientific Research (B) (21390190) from the Ministry of Education, Science, Sports and Culture, Japan.

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Affiliations

  1. Department of Preventive Medicine, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan

    Chikako Kiyohara

  2. Department of Medicine and Biosystemic Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan

    Takahiko Horiuchi

  3. Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan

    Koichi Takayama & Yoichi Nakanishi

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  1. Chikako Kiyohara
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  2. Takahiko Horiuchi
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Correspondence to Chikako Kiyohara.

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The authors declare that they have no competing interests.

Authors' contributions

CK contributed to study design, laboratory work, data collection, data management, statistical analysis, data interpretation, and manuscript writing. TH, KT and YN participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

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Kiyohara, C., Horiuchi, T., Takayama, K. et al. Methylenetetrahydrofolate reductase polymorphisms and interaction with smoking and alcohol consumption in lung cancer risk: a case-control study in a Japanese population. BMC Cancer 11, 459 (2011). https://doi.org/10.1186/1471-2407-11-459

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Keywords

  • Lung Cancer
  • Folate
  • Lung Cancer Patient
  • C677T Polymorphism
  • Lung Cancer Risk

BMC Cancer

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