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Research ArticleClinical Studies

Genetic Profile and Determinants of Homocysteine Levels in Kazakhstan Patients with Breast Cancer

AINUR AKILZHANOVA, ZHANNUR NURKINA, KUVAT MOMYNALIEV, ERLAN RAMANCULOV, ZHAXYBAI ZHUMADILOV, TOLEBAY RAKHYPBEKOV, NAOMI HAYASHIDA, MASAHIRO NAKASHIMA and NOBORU TAKAMURA
Anticancer Research September 2013, 33 (9) 4049-4059;
AINUR AKILZHANOVA
1Department of Global Health, Medicine and Welfare, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
2Department of Genomic and Personalised Medicine, Center for Life Sciences, Nazarbayev University, Astana, Kazakhstan
3National Center for Biotechnology, Astana, Kazakhstan
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ZHANNUR NURKINA
2Department of Genomic and Personalised Medicine, Center for Life Sciences, Nazarbayev University, Astana, Kazakhstan
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KUVAT MOMYNALIEV
3National Center for Biotechnology, Astana, Kazakhstan
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ERLAN RAMANCULOV
3National Center for Biotechnology, Astana, Kazakhstan
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ZHAXYBAI ZHUMADILOV
2Department of Genomic and Personalised Medicine, Center for Life Sciences, Nazarbayev University, Astana, Kazakhstan
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TOLEBAY RAKHYPBEKOV
4Semey State Medical University, Oncology Center, Semey, Kazakhstan
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NAOMI HAYASHIDA
1Department of Global Health, Medicine and Welfare, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
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MASAHIRO NAKASHIMA
1Department of Global Health, Medicine and Welfare, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
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NOBORU TAKAMURA
1Department of Global Health, Medicine and Welfare, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
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  • For correspondence: takamura@nagasaki-u.ac.jp
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  • Errata - June 01, 2014

Abstract

Aim: To analyze associations between homocysteine level, MTHFR and FTO rs1477196 polymorphisms and folate status in patients with breast cancer (BC) in order to clarify determinants of hyperhomocysteinemia. Patients and Methods: The study included 315 BC cases and 604 controls. Results: The MTHFRC677T genotype was associated with an increased incidence of BC [Odds ratio (OR)=1.71; 95% Confidential interval (CI)=1.21-2.43]. The MTHFR A1298C genotype was associated with a decreased risk of BC [OR=0.68; 95% CI: 0.49-0.95]. The homocysteine level was not associated with either MTHFR C677T or A1298C, nor with FTO rs1477196, but was inversely correlated with folate status in cancer cases (p<0.0001) and tended to be higher in patients with the MTHFR 677TT genotype. The folate level (p<0.0005) was an independent predictor of hyper-homocysteinemia in patients with BC. Conclusion: These results suggest an important role of homocysteine in breast tumorigenesis. Further studies are warranted to investigate how combined MTHFR genotypes exert their effects on cancer susceptibility.

  • Breast cancer
  • folate
  • homocysteine
  • MTHFR
  • FTO
  • polymorphism
  • Kazakhstan

Breast cancer (BC) is a complex disease influenced both by the environment and genetics (1), yet most genetic and environmental factors are still poorly understood. Dietary factors may modulate the risk of this malignancy, however the only dietary factor that has been consistently associated with increased breast cancer risk is alcohol consumption (1, 2).

For the past two decades, a mounting body of epidemiological and experimental studies has indicated that low folate intake or status is associated with elevated risk for several types of cancer, including BC (3-5). The biological mechanisms whereby folate deficiency may enhance carcinogenesis may be related to the role of this vitamin in one-carbon metabolism, as folate, in the form of methyltetrahydrofolate, provides the methyl groups required for intracellular methylation reactions and also functions as a co-enzyme in the synthesis of purines and thymidylate for DNA (6). Low folate status may, therefore, alter DNA methylation and influence gene stability and expression (6, 7). Diminished folate status may also result in misincorporation of uracil into DNA, which would lead to chromosome breaks as well as DNA repair disruption, enhanced mutagenesis, and apoptosis (6, 8). Therefore, disturbances in folate metabolism may lead to aberrant DNA synthesis and DNA methylation and may be an adding factor to carcinogenesis.

Folate is also well-known to influence homocysteine metabolism, where it serves as a co-substrate (9). Elevation of homocysteine level is associated with several metabolic disorders, including high body-mass index (BMI), high plasma triglyceride levels, hypertension, and abnormal oxidation of low-density lipoproteins (9-11); this may lead to the development of several types of cancers, including BC (12). Several studies have shown that homocysteine levels are also positively associated with in vitro proliferation rates of cells of a variety of tumor types, including breast tumors (13, 14), as well as with oxidative damage to cells (15). Hyperhomocysteinemia has been proposed as a risk factor for the development of estrogen-induced hormonal cancer in humans and is believed to cause pathogenic effects through the metabolic accumulation of S-adenosyl-L-homocysteine, which is a strong non-competitive inhibitor of the catechol-O-methyltransferase-mediated methylation metabolism of various catechol substrates, such as catechol estrogens (15, 16). Methylation of catechol estrogens in target organs is ultimately responsible for decreased formation of 2-methoxyestradiol, a strong anti-angiogenic and anticancer agent, and for the increased accumulation of the pro-carcinogenic 4-hydroxyestradiol, which lead to the development of estrogen-induced hormonal cancer in the target organs (15, 16).

For all these reasons, hyperhomocysteinemia has been regarded as a risk factor for cancer; therefore, the total homocysteine level has been proposed as a new tumor marker since it not only accurately reflects the proliferation rate of tumor cells but also responds to tumor cell death (12). Observational studies undertaken to assess the association between circulating homocysteine and overall BC risk are very limited in number, and findings have been inconsistent. One case control study reported a positive association between homocysteine levels and BC risk (17), whereas a second cohort study did not report on this association (18).

In addition to folate intake, plasma homocysteine levels are regulated mainly by 5,10-methylenetetrahydrofolate reductase (MTHFR), which is involved in the folate-dependent re-methylation of homocysteine (10). MTHFR is a key enzyme in homocysteine metabolism; it catalyzes the irreversible conversion of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate, which directs the folate pool towards re-methylation of homocysteine to methionine, at the expense of DNA and RNA biosynthesis (3). The potential influence of MTHFR on DNA methylation and on the availability of uridylates and thymidylates for DNA synthesis and repair makes MTHFR a potential candidate cancer-predisposing gene (5-8).

Previously reported associations between MTHFR polymorphisms and various types of cancers (19, 20) have led to a number of studies that examined how these polymorphisms might influence the risk for BC (21-30). Most of these studies have reported on the MTHFR C677T and A1298C polymorphisms and risk for BC, with mixed results (13, 14). Accumulating evidence indicates that breast carcinogenesis could be initiated through activation of proto-oncogenes by hypomethylation of their promoter regions, through inactivation of tumor-suppressor genes by hypermethylation (31), or through alteration of estrogen receptor gene methylation patterns (16). Breast tumorigenesis could be triggered by strand break and DNA mutation caused by estrogen metabolism (16). The plausible role of MTHFR in DNA methylation, and DNA biosynthesis and repair in actively dividing cells warrants the analysis of BC susceptibility arising from the two most common MTHFR polymorphisms.

An association has been found between obesity and BC (32); for example, links with certain types of cancer have been reported for variants within the fat mass and obesity-related gene (FTO, OMIM No. 610966), primarily detected as an “obesity-associated” gene, in some, but not all, studies. Initially, an association with obesity and type II diabetes mellitus was found for FTO in several genome-wide association studies (33). More specifically, single-nucleotide polymorphisms (SNPs) in intron 1 of FTO, such as rs1477196, have shown significant association with obesity (33). Recently, a clinic-based case-control study by Kaklamani et al. revealed that a SNP located in intron 1 of FTO (rs1477196) as well as others in a linkage disequilibrium block, were significantly associated with BC risk (34). A recently performed analysis of the DNA methylation profile suggests that common variants within FTO are associated with different DNA methylation levels (35). Abundant methylation of regulatory portions of tumor suppressor genes is a common feature of human cancers.

Recently, we showed that folate deficiency might exist among the Kazakhs, probably due to their traditional diet (36, 37). We screened serum folate and plasma homocysteine in the general population of Kazakh adults, and 50 out of 61 (82.0%) people tested had low concentrations of folate. Supplementation with folic acid is definitely needed in Kazakhstan in order to reduce the risk of hyperhomocysteinemia-related disorders, including BC. However, for the appropriate implementation of this health policy, identification of homocysteine determinants in the Kazakhstan population is needed. To our knowledge, no study has yet investigated the potential association between hyperhomocysteinemia, serum folate level, and MTHFR, and FTO polymorphisms in Kazakhstan women with BC.

In the present study, we screened biochemical and genetic markers linked to folate and homocysteine metabolism in order to identify the determinants of homocysteine concentration among a group of Kazakhstan patients with BC. The overall aim of this study was to analyze potential associations between total homocysteine levels, MTHFR polymorphisms, and rs1477196 SNP in intron 1 of FTO and the folate status of patients with BC in order to clarify possible determinants of hyperhomocysteinemia and their role in predicting BC risk.

Materials and Methods

Study participants. The study was performed with the appropriate Institutional Ethics Approvals (No. 2011007) and in accordance with the principles embodied in the Declaration of Helsinki. Prior to the study, informed consent was obtained from all participants.

A total of 315 Kazakhstan women with pathologically-confirmed BC who underwent operations at the Oncological Centers of Semey and Astana, Kazakhstan, were enrolled in this study (cancer cases). An additional 604 healthy women without any diagnosis of cancer, who resided in Semey and Astana regions at the time of enrollment, were included as controls.

Exclusion criteria were the following: no informed consent to the study; acute inflammatory disease; impaired liver (bilirubin level >1.5 mg/dl) or renal (creatinine level >1.5 mg/dl) function; concurrent therapy with anti-folate drugs or medications known to influence homocysteine levels (thus interfering with the genotype/phenotype correlation study), such as current or recent use of a folate or vitamin B12 supplement or of any multivitamin preparation and current or recent use of drugs interfering with homocysteine levels (e.g., anticonvulsants, methotrexate, and penicillamine).

Data collection and laboratory measurements. All participants completed a questionnaire that included questions on diet, demographic characteristics, medical history, family history of cancer, smoking habits, alcohol consumption, physical activities, menstrual and reproductive factors; anthropometric measurements were also obtained. The height and weight of each participant were measured, and the BMI (kg/m2) was calculated as an index of obesity. The clinical and pathological characteristics such as the age at diagnosis (operation), histological subtype (WHO histological TNM classification), histological grade, T stage, and lymph node involvement were obtained from the medical records.

Fasting blood samples were obtained and after separation of serum and plasma from whole blood, they were kept at −20°C and −80°C, respectively, until assayed. Serum folate and vitamin B12 (VB12) were measured using chemiluminescent immunoassay and radioimmunoassay methods (ACS:180 VB12 and Folate kit; Bayer Medical, Tokyo). Serum creatinine and albumin were measured by enzyme (Hitachi 7450; Hitachi, Tokyo) and bromocresol green method (BCG), respectively (38). Plasma total homocysteine was measured using high performance liquid chromatography (39).

The normal ranges of serum folate, VB12, creatinine, and albumin were 3.6-12.9 ng/ml, 233-914 pg/ml, 0.3-1.2 mg/dl, and 3.7-5.5 g/dl, respectively. The normal range of plasma total homocysteine was 6.3-8.9 nmol/ml. Serum concentrations of triglycerides (TG), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), calcium, C-reactive protein (CRP) were measured using standard laboratory procedures. Total cholesterol was calculated by the formula TC=HDL-C+LDL-C+(TG/5) (Friedewald equation) (40). The TC/HDL and LDL/HDL ratios were calculated. The TG levels had a skewed distribution, therefore logarithmic transformation was performed for the subsequent statistical analysis. The normal range of TG was 50-149 mg/dl, HDL-C was 40-90 mg/dl, LDL-C 70-139 mg/dl, calcium 8.2-10.0 mg/dl and CRP <0.30 mg/dl. Leptin was measured (ng/ml) using a Human Leptin RIA kit (Cosmic Corporation, Tokyo, Japan). Adiponectin was measured using a Human Adiponectin ELISA kit (Daiichi Pure chemicals Co. Ltd, Tokyo, Japan) using the Latex coagulation method (normal range >4 mg/ml).

DNA isolation and genotyping. DNA was extracted from whole blood lymphocytes using the Master Pure DNA purification Kit (EPICENTRE Biotechnologies, Madison, WI, USA), according to the manufacturer's protocols and was stored at −20°C until used for genotyping.

Genotyping for the MTHFR, 677 C>T (rs1801133 ref dbSNP) and 1298 A>C (rs1801131 ref dbSNP) and FTO, (rs1477196 ref dbSNP) was performed by Taqman SNP allelic discrimination by means of an ABI 7900HT (Applied Biosystems, Foster City, CA) using commercial TaqMan SNP Genotyping assays (Applied Biosystems by Life Technologies) C_1202883_20 for MTHFR677 C>T and C_850486_20 for MTHFR1298 A>C and C_2031262_10 for FTO rs 1477196. Primer sets were created using Primer3 (v.0.4.0) software (http://frodo.wi.mit.edu/primer3). Results were ascertained using the SDS software version 2.3 (Applied Biosystems). All results were automatically recorded (i.e. the device displays the genotypes automatically with a 95% certainty). A total of 5% of samples were genotyped in duplicate and showed 100% concordance. A total of nine samples – representatives of wild, heterozygous and mutant genotype samples for each polymorphism – were evaluated by TaqMan Assay and then were confirmed by direct sequencing and were further used as internal controls.

Statistical analysis. Allelic frequencies were calculated by the gene counting method and Hardy–Weinberg equilibrium (HWE) was tested for each SNP. Association of allelic and genotypic counts with BC cases was evaluated by Pearson's Chi-square-test followed by odds ratios (OR) with 95% confidential intervals (CI), using 2×2 contingency tables. The maximum likelihood estimates of haplotype frequencies were calculated from the multisite marker typing data, using the online software SNP Stats (41). Differences between percentages were assessed by Chi-square test. Student's unpaired t-test, ANOVA test and Pearson correlation analysis were used for the normally distributed continuous variables. Appropriate non-parametric tests (Mann-Whitney U-test, ANOVA and median test and Spearman rank correlation test) were employed for all the other variables. Multiple linear regression analyses were performed to further quantify the relationship between the clinical and biochemical variables. Only two-tailed probabilities were used for testing statistical significance. The data are presented as the mean±standard deviation (SD), or median (25th-75th quartiles). All p-values less than 0.05 were regarded as statistically significant. All the calculations were performed using computer software packages (SPSS 19.0, SPSS, Tokyo, Japan).

Results

The study population consisted of 315 BC cases and 604 controls, aged 55.3±9.8 years and 40.5±13.4 years, respectively (Table I). Cases and controls differed significantly by race (p<0.01): 48.6% of the cases were Asian and 51.4% were Caucasian, whereas 65.9% of the controls were Asian and 34.9% were Caucasian. Cases, in general, were more likely to have a family history of BC and other cancers, to be older at menarche and menopause, and to have a higher number of pregnancies and live births compared to the controls. Cases had relatively, but not significantly, higher BMI and weight compared to the controls. Significant differences also existed between cases and controls in terms of age at menarche (13.0±1.0 years vs. 12.8±0.9 years), parity (4.2±2.6 vs. 3.0±2.4), and age at menopause (48.2±4.6 years vs. 47.4±5.0 years). No significant differences were found between cases and controls in terms of the proportions of women with regard to alcohol consumption (4.4% vs. 5.8%), smoking (8.6% vs. 6.8%), and age at first full-term pregnancy (21.8±5.7 years vs. 20.4±7.9 years).

The histopathological profile showed that 72.3% of cases had infiltrating ductal carcinoma, 5.1% had intralobular carcinoma, 17.8% had mucinous carcinoma, and 4.8% had ductal carcinoma in situ. The majority of the cases were diagnosed at T2 (60.6%) and T1 (16.8%) stages, with fewer diagnosed at T3 (13.6%) and T4 (8.9%) stages. The frequency of lymph node metastases at diagnosis was 51.1%, and 3.5% of the cases had subsequent metastasis.

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Table I.

Basic characteristics of breast cancer cases and controls.

The allelic frequencies and genotype distributions of MTHFR C677T (rs1801133), A1298C (rs1801131) and FTO rs1477196 among cases and controls, as well as their contributions to the risk of breast cancer according to different models, are shown in Table II. The C/C, C/T, and T/T genotype distribution of MTHFR C677T in the BC patients (57.5%, 34.6%, and 7.9%, respectively) and controls (47.5%, 44.5%, and 8%, respectively) did not differ significantly from those predicted by the Hardy-Weinberg distribution (HW probability test, p=0.14 for patients and 0.18 for controls).

The distributions of the MTHFR A1298C A/A, A/C, and C/C genotypes of the cancer patients and controls (43.8%, 45.1%, and 11.1%; 52.6%, 40.1%, and 7.3%, respectively) did not differ significantly from those predicted by the Hardy-Weinberg distribution (HW probability test p=0.9 for patients and 0.92 for controls). The FTO rs1477196 A/A, A/G, and G/G genotype distributions in cases and controls (40%, 49.5%, and 10.5%; 41.7%, 44%, and 14.2%, respectively) were also in conformity with the HWE (HW probability test p=0.17 for patients and 0.25 for controls). The frequency distribution of the MTHFR and FTO genotypes between cancer patients and healthy participants are depicted in Figure 1.

Taking the MTHFR 677CC genotype as the reference, individuals with the 677CT genotype had a 1.3-fold increase in BC risk (OR=1.71, 95% CI=1.21-2.43; p<0.01 co-dominant model), while individuals with the 677CT or TT genotype had a 1.2-fold increase in BC risk (OR=1.55, 95% CI=1.11-2.16; p<0.01) under the dominant model (Table II). For MTHFR C677T, the frequency of the T allele was 25.2% in cases and 30.2% in the controls. In the dominant model, using the MTHFR1298AA genotype as the reference, individuals with the 1298AC+CC genotype had a 1.2-fold decrease in BC risk (OR=0.68, 95% CI=0.49-0.95, p<0.05). For MTHFR A1298C, the frequency of the C allele was 33.7% in the cases and 27.3% in the controls. On the other hand, we found no differences between patients and healthy controls with respect to the FTO rs1477196 genotypic frequencies, regardless of which model was used for analysis: dominant (p=0.15), co-dominant (p=0.2), and recessive (p=0.3). Finally, the numbers of alleles were identical in both groups (35.2% in patients and 36.3% in controls for the minor G allele).

Estimated haplotype frequencies among MTHFR C677T and A1298C and FTO rs1477196 were compared between BC cases and controls. Out of eight possible haplotypes, seven haplotypes were shared by both the cases and the controls. One haplotype (CCA) was associated with a significantly reduced risk of BC (OR=0.62, 95% CI=0.41-0.94; p=0.023) (data not shown). We also analyzed the association of MTHFR C677T, A1298C, and FTO rs1477196 genotypes with race among cases and controls, and found no significant differences in genotype distributions among cases and controls with regard to race, except that the MTHFR C677T genotype was associated with BC among Asians (χ2=9.851, p=0.007) (OR=1.99, 95% CI=1.24-3.17, interaction p-value=0.39).

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Table II.

Genotypic and allelic frequencies of Methylenetetrahydrofolatereductase (MTHFR) and Fat mass and obesity (FTO) genes among patients with breast cancer and controls and their contributions to the risk of breast cancer by different models.

The nutritional and metabolic status of the study groups was further analyzed through determination of vitamin B12, folate, total homocysteine, albumin, creatinine, CRP, and calcium levels (Table I). As expected, a significantly lower level of albumin and higher level of creatinine and CRP were found in the patients compared controls, whereas the vitamin B12 and calcium levels were similar in both groups. Both cases and controls had low folate levels; moreover, these were significantly lower in breast cancer patients (2.8 ng/ml vs. 2.9 ng/ml, p=0.019). The plasma total homocysteine level was higher in patients compared to the controls (p=0.001). Lipid profiles showed patients with BC to have significantly lower levels of HDL-C, and higher TC/HDL and LDL/HDL ratios, despite having lower levels of total cholesterol than the controls. The cancer cases had a relatively higher level of TGS, but the differences were not statistically significant. No differences were noted in the levels of leptin and adiponectin between cases and healthy controls.

Analysis of the association between the observed genotypes and phenotypes showed no significant association between MTHFR C677T, A1298C, and FTO rs1477196 genotypes and most of the phenotypic variables for the cases and controls (Table III). Among individuals with the MTHFR 677CC genotype, the levels of homocysteine were higher in the cases than in the controls (18.1±6.5 vs. 14.3±4.0 nmol/ml, p<0.001), but the differences in total homocysteine levels in MTHFR 677TT carriers among cases and controls were not statistically significant (18.0±4.9 vs. 19.2±6.3 nmol/ml).

The ANOVA test showed that plasma total homocysteine level was not associated with either MTHFR C677T (p=0.67) or A1298C (p=0.36), nor FTO rs1477196 (p=0.74), but was inversely correlated with the folate status of the patients (p<0.0001). Further analysis of the plasma total homocysteine distribution in patients with different MTHFR C677T genotypes and low or high folate levels (categorized on the basis of the upper quartile of the values observed in all the recruited participants, i.e. 4 ng/ml) showed that the highest total homocysteine levels were found in the patients with the TT genotype and low folate levels, although the differences were not significant (F=2.39, p=0.138) (Figure 2).

Figure 1.
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Figure 1.

Frequency distribution of Methylenetetrahydrofolatereductase (MTHFR) C677T and A1298C and Fat mass and obesity (FTO) rs1477196 genotypes between patients with breast cancer and healthy controls.

Discussion

Various groups have evaluated the association between the MTHFR C677T and A1298C polymorphisms and the risk of breast cancer, but the results have been conflicting (13, 14, 42). The present study identified an association between BC and the MTHFR alleles or genotypes. Individuals with the 677CT genotype had a 1.3-fold increase in BC risk (p<0.01) under the co-dominant model, while individuals with the 677CT or TT genotype had a 1.2-fold increase in BC risk (p<0.01) under the dominant model. In contrast, the dominant model using the MTHFR 1298AA genotype as the reference showed that individuals with the 1298AC or CC genotype had a 1.2-fold decrease in breast cancer risk (p<0.05).

Our results for the C677T and A1298C SNPs are consistent with those reported in other studies indicating a role of these MTHFR polymorphisms in BC risk (21-30). Data are conflicting regarding the role of the MTHFRC677T variants in cancer, and an inverse effect (14, 31) or a need for predisposing factors (26-28) has been advocated by some authors. Large case control studies of women showed that White women from the Multiethnic Cohort (27) failed to reveal a BC risk association with MTHFR genotypes. In contrast, English-speaking women of the Long Island Study had a significant increase in a BC risk association with the MTHFR 677T/T genotype (OR=1.37, 95% CI=1.06-1.78, p=0.03) (29). However, the specific study population is reported to be of mixed ethnicity, and Long Island has the highest BC incidence in the United States; this has been suspected to be potentially linked to environmental pollution with polycyclic aromatic hydrocarbons (43). We may infer that these and yet other unknown environmental confounders may have contributed to this risk association.

Figure 2.
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Figure 2.

Plasma homocysteine levels for genotypes of Methylenetetrahydrofolatereductase (MTHFR) C677T, stratified by low (<4 ng/ml, dashed columns) and high (≥4 ng/ml, open columns) serum folate levels, in the breast cancer study population.

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Table III.

Association between Methylenetetrahydrofolatereductase (MTHFR) C677T, MTHFR A1298C, Fat mass and obesity (FTO) rs1477196 polymorphism genotypes and phenotypes among breast cancer cases and controls.

Evidence also supports a dependence of the direction and magnitude of the BC risk modification associated with polymorphisms on the folate status and other factors. This view corresponds with observations from the Shanghai Breast Cancer study, where a significant BC risk was observed as an interactive effect between MTHFR 677 genotypes and low folate intake, with the highest risk occurring for MTHFR 677TT (OR=2.51, 95% CI=1.37-4.60, p=0.003) (26). The Breast Cancer Study from Korea, showed a similar interactive effect for low intake of green vegetables (28). Dietary deficiency in folate by itself is an established risk factor for BC (3, 4); while alcohol intake (1, 2, 44) and estrogen (45) cause folate deficiency, thus promoting the risk of developing BC.

We previously showed that Kazakhstan is a folate-deficient area (36, 37). The traditional food of the Kazakh people consists mainly of meat, such as beef and mutton and the intake of vegetables tends to be deficient, especially in rural areas, owing to their insufficient distribution. We have screened folate concentrations in the normal Kazakh population and have found that 82% had low folate concentrations, whereas none of an age-matched Japanese population showed low concentrations (36). Indeed, in our present study, low levels of serum folate (<3.6 ng/ml) were recorded not only in BC cases but also in healthy participants (median 2.8 ng/ml and 2.9 ng/ml, in cases and controls, respectively, p=0.019, Table I). In areas such as Kazakhstan, food fortification should definitely be implemented to reduce the incidence of congenital anomalies such as neural tube defects and for prevention of BC.

We found no significant differences in genotypic distributions among cases and controls by race, except for the MTHFR 677CT genotype, which was significantly associated with BC among Asians (p=0.007; interaction p-value=0.39). This may reflect the genetic heterogeneity of the ethnic groups in our study. Kazakhstan is a unique country located in Central Asia, lying on the ancient Great Silk roads. Kazakh populations have been strongly influenced by the nomadic lifestyle, and a long history of migration has led to an admixture of Western and Asian populations, which has molded the genetic architecture. It is interesting that studies on the same ethnic groups might reveal opposite findings. A small study with hospital cases and non–aged matched controls from Turkey showed an increased BC risk with both MTHFR polymorphisms (24), while another study by Hekim et al. found no association between MTHFR C677T polymorphism and breast cancer in Turkey (46).

Although these findings seem contradictory, direct comparisons should be made with caution due to the different aspects addressed in these studies. Conflicting reports on an association of MTHFR C677T and MTHFR A1298C genotypes with BC risk may be attributed to variations in the study size and design, particularly ethnicity and non-sporadic/sporadic BC. Previous studies showing a positive association have primarily included women with a family history (21), or were associated with study design limitations. On the other hand, recent studies on sporadic BC cases showed associations between MTHFR polymorphisms and BC risk in Chinese (47), Moroccan (48), Syrian (49), and Iranian (50) women. Lack of an association of MTHFR polymorphisms with BC risk was observed in African-American, Latino, and Hawaiian women from the aforementioned Multiethnic Cohort (27) and in smaller studies from Scotland (23), Orange County, CA, USA (25), Korea (26), and Germany (30).

SNPs in intron 1 of FTO, such as rs1477196, have been significantly associated with obesity (33). Kaklamani et al., in their clinic-based case control study, found that SNPs located in intron 1 of FTO, specifically rs1477196 and other SNPs in one linkage disequilibrium block (i.e., rs9939609, rs7206790, and rs8047395), were significantly associated with BC risk, with rs1477196 showing the strongest association (34). We could not confirm this finding, as we found no differences between the patients and healthy controls with respect to FTO rs1477196 genotypic frequencies, regardless of the analysis model used. The numbers of alleles were identical in both groups (35.2% in patients and 36.3% in controls for the minor G allele).

Haplotype frequencies among MTHFR C677T, A1298C, and FTO rs1477196 were compared between BC cases and controls. Out of eight possible haplotypes, seven haplotypes were shared by both the cases and the controls. One haplotype (CCA) was associated with a significantly reduced risk of BC (p=0.023). The MTHFR 1298CC genotype possibly has a protective effect.

This study is the first to provide genotyping data of MTHFR and FTO gene polymorphisms within a breast cancer association study. One of the objectives of this study was to correlate the distribution of plasma homocysteine levels with the MTHFR genotypes. We found that the total homocysteine level was significantly higher in the patients compared with the controls (p=0.001) (Table I), and also significantly higher in individuals with the MTHFR 677CC genotype, but differences were not significant for the MTHFR 677TT carriers (Table III). The total homocysteine level was not associated with either MTHFR C677T (p=0.67), A1298C (p=0.36), or FTO rs1477196 (p=0.74), but were inversely correlated with the folate status of the patients (p<0.0001). After stratification of patients by folate level, the highest total homocysteine levels were found in individuals with the MTHFR 677TT genotype and low folate levels, although this was not statistically significant (p=0.138) (Figure 2). Despite the lack of significant association of MTHFR and FTO genotypes with total homocysteine levels in both groups, the genotypic correlation in the cancer population confirmed that the T-variant at nucleotide 677 of the MTHFR gene was a major determinant of plasma total homocysteine level, but only in the patients with low folate status, in agreement with a previous study performed in other subsets of patients (51).

Multivariate linear regression analysis of the cancer patients, adjusted for age and race, demonstrated that folate (β=−0.523, p<0.0005) was the only independent predictor of elevated total homocysteine level. We found no significant associations between observed MTHFR and FTO genotypes and most of phenotype variables examined in the cases and controls (Table III). One explanation for a lack of significant genotype/phenotype associations might be the relatively low number of individuals in each genotype group.

We recorded higher levels of CRP, creatinine, total cholesterol, TC/HDL and LDL/HDL ratios, and lower levels of albumin and HDL-C in cases than in controls (Table I). Lipid profiles showed significantly lower levels of HDL-C and LDL-C and higher TC/HDL and LDL/HDL ratios, despite lower levels of TC in BC patients than in the controls. Cases had higher levels of TGS, but the difference was not statistically significant. No differences were noted in the levels of leptin and adiponectin between the cases and healthy subjects, in agreement with previous results from several recent epidemiological studies (51-56), where lipid profiles were investigated in the context of BC. Some studies have indicated possible associations between cholesterol and lipoprotein levels and BC risk, but the data on these associations remain inconclusive. A hospital-based case control study in Italy demonstrated significantly higher total cholesterol and higher LDL among cases (226.4 vs. 215.0 mg/dl; and 148.3 vs. 138.7 mg/dl, respectively) and no difference in HDL or TG levels (54.5 vs. 52.9; and 112.7 vs. 109.6, respectively). In contrast, another Italian study (53) demonstrated no significant differences in total cholesterol, HDL, LDL, or triglyceride levels between BC cases and controls.

Our observation that low HDL levels may be associated with an increased risk of BC is in line with the hypothesis that high HDL levels may elicit a protective effect. HDL transports circulating cholesterol within the arteries back to the liver for excretion or re-utilization. Therefore, as the TC level increases, potentially stimulating an increase in HDL level, BC risk may possibly decrease (and vice versa) (54). Forsberg et al. hypothesized that the aromatization of androgens to estrogens within adipose tissues is the causal mechanism for an inverse association between HDL and BC (55).

We are aware that given the multiple pathophysiological changes known to be associated with cancer, statistical correlation does not necessarily indicate a biological relationship; therefore, we cannot conclusively define the pathophysiological significance of total homocysteine and many other factors in BC. Nonetheless, the present findings showing that the MTHFR polymorphisms did not significantly contribute to the total homocysteine level in BC, but only in cases with low folate levels, are consistent with the hypothesis that hyperhomocysteinemia may be a cancer-related factor that operates through different pathways (e.g. aberrant DNA methylation (31); inflammation, possibly involving a relevant pathway (51); or metabolic accumulation of intracellular S-adenosyl-L-homocysteine, a strong inhibitor of the catechol-O-methyltransferase-mediated methylation metabolism of endogenous and exogenous catechol estrogens (16).

This study has a number of limitations that should be noted. One limitation was the lack of detailed information on folate intake status (dietary, supplement use), intake of other folate co-factors (i.e. methionine, vitamins B6 and B12) for further examination of the gene–nutrient interaction. We did not evaluate the interaction of genotypes, homocysteine, and folate by hormonal receptor status of patients with BC nor with other genes involved in one-carbon metabolism, something that has previously been demonstrated (26, 30, 56).

Conclusion

Despite existing limitations, this study provides evidence for an association between the MTHFR C677T polymorphism and BC risk, supporting the hypothesis that MTHFR C677T polymorphism contributes to overall BC risk. In order to confirm our findings, well-designed studies including different ethnic groups with a careful matching between cases and controls should be considered in future association studies in Kazakhstan. Further evaluation is also necessary to determine the effect of gene–gene and gene–environment – life style interactions on MTHFR C677T and A1298C, and FTO (rs1477196) polymorphisms and BC risk. We have shown a significant association between elevated plasma homocysteine levels and increased risk for BC, suggesting the possibility that a high plasma homocysteine level could be a metabolic risk factor for breast cancer. Given the growing evidence of the important role of homocysteine metabolism in breast tumorigenesis, we need a better understanding of the modifiable determinants of total homocysteine concentration. Until recently, population studies suggested that a low folate status was the most important determinant of mild-to-moderate hyperhomocysteinemia (10). Consequently, much of the research on determinants of total homocysteine concentration has focused on folate. Despite the recent folic acid fortification of enriched grain production in the United States, which has altered the prevalence of elevated total homocysteine concentrations associated with low folate (10), evaluation of folate levels, as well as other determinants of hyperhomocysteinemia, remains important in the Kazakhstan population. We also need to continue our efforts to identify additional risk factors of hyperhomocysteinemia in patients with cancer. Food fortification with folic acid could possible help reduce the incidence of BC in Kazakhstan.

Acknowledgements

The Authors express their gratitude to all the study participants. They are thankful to Dr. I. Shtephanov, Dr. Z. Zhumatova, and Dr. G. Akilzhanova for their help in sample collection. This study was supported by a Grant-in-Aid from the Japan Society for the Promotion of Science.

Footnotes

  • Conflicts of Interest

    All Authors have no conflicts of interests to declare.

  • Received June 27, 2013.
  • Revision received July 15, 2013.
  • Accepted July 16, 2013.
  • Copyright© 2013 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved

References

  1. ↵
    1. Nickels S,
    2. Truong T,
    3. Hein R,
    4. Stevens K,
    5. Buck K,
    6. Behrens S,
    7. Eilber U,
    8. Schmidt M,
    9. Häberle L,
    10. Vrieling A,
    11. Gaudet M,
    12. Figueroa J,
    13. Schoof N,
    14. Spurdle AB,
    15. Rudolph A,
    16. Fasching PA,
    17. Hopper JL,
    18. Makalic E,
    19. Schmidt DF,
    20. Southey MC,
    21. Beckmann MW,
    22. Ekici AB,
    23. Fletcher O,
    24. Gibson L,
    25. Silva Idos S,
    26. Peto J,
    27. Humphreys MK,
    28. Wang J,
    29. Cordina-Duverger E,
    30. Menegaux F,
    31. Nordestgaard BG,
    32. Bojesen SE,
    33. Lanng C,
    34. Anton-Culver H,
    35. Ziogas A,
    36. Bernstein L,
    37. Clarke CA,
    38. Brenner H,
    39. Müller H,
    40. Arndt V,
    41. Stegmaier C,
    42. Brauch H,
    43. Brüning T,
    44. Harth V,
    45. Genica Network,
    46. Mannermaa A,
    47. Kataja V,
    48. Kosma VM,
    49. Hartikainen JM,
    50. kConFab,
    51. AOCS Management Group,
    52. Lambrechts D,
    53. Smeets D,
    54. Neven P,
    55. Paridaens R,
    56. Flesch-Janys D,
    57. Obi N,
    58. Wang-Gohrke S,
    59. Couch FJ,
    60. Olson JE,
    61. Vachon CM,
    62. Giles GG,
    63. Severi G,
    64. Baglietto L,
    65. Offit K,
    66. John EM,
    67. Miron A,
    68. Andrulis IL,
    69. Knight JA,
    70. Glendon G,
    71. Mulligan AM,
    72. Chanock SJ,
    73. Lissowska J,
    74. Liu J,
    75. Cox A,
    76. Cramp H,
    77. Connley D,
    78. Balasubramanian S,
    79. Dunning AM,
    80. Shah M,
    81. Trentham-Dietz A,
    82. Newcomb P,
    83. Titus L,
    84. Egan K,
    85. Cahoon EK,
    86. Rajaraman P,
    87. Sigurdson AJ,
    88. Doody MM,
    89. Guénel P,
    90. Pharoah PD,
    91. Schmidt MK,
    92. Hall P,
    93. Easton DF,
    94. Garcia-Closas M,
    95. Milne RL,
    96. Chang-Claude J
    : Evidence of Gene–Environment Interactions between Common Breast Cancer Susceptibility Loci and Established Environmental Risk Factors. PLoS Genet 9: e1003284, 2013, doi:10.1371/journal.pgen.1003284.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Key J,
    2. Hodgson S,
    3. Omar RZ,
    4. Jensen TK,
    5. Thompson SG,
    6. Boobis AR,
    7. Davies DS,
    8. Elliott P
    : Meta-analysis of studies of alcohol and breast cancer with consideration of the methodological issues. Cancer Causes Control 17: 759-770, 2006.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Kim YI
    : Folate and carcinogenesis: Evidence, mechanisms, and implications. J Nutr Biochem 10: 66-88,1999.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Prinz-Langenohl R,
    2. Fohr I,
    3. Pietrzik K
    : Beneficial role for folate in theprevention of colorectal and breast cancer. Eur J Nutr 40: 98-105, 2001.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Larsson SC,
    2. Giovannucci E,
    3. Wolk A
    : Folate intake, MTHFR polymorphisms, and risk of esophageal, gastric, and pancreatic cancer: A meta analysis. Gastroenterology 131: 1271-1283, 2006.
    OpenUrlCrossRefPubMed
  6. ↵
    1. Mason JB,
    2. Levesque T
    : Folate: Effects on carcinogenesis and potential for cancer chemoprevention. Oncology 10: 1727-1736, 1996.
    OpenUrlPubMed
  7. ↵
    1. Friso S,
    2. Choi SW,
    3. Girelli D,
    4. Mason JB,
    5. Dolnikowski GG,
    6. Bagley PJ,
    7. Olivieri O,
    8. Jacques PF,
    9. Rosenberg IH,
    10. Corrocher R,
    11. Selhub J
    : A common mutation in the 5,10-methylenetetrahydrofolate reductase gene affects genomic DNA methylation through an interaction with folate status. Proc Natl Acad Sci USA 99: 5606-5611, 2002.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Blount BC,
    2. Mack MM,
    3. Wehr CM,
    4. MacGregor JT,
    5. Hiatt RA,
    6. Wang G,
    7. Wickramasinghe SN,
    8. Everson RB,
    9. Ames BN
    : Folate deficiency causes uracil misincorporation into human DNA and chromosome breakage: Implications for cancer and neural damage. Proc Natl Acad Sci USA 94: 3290-3295, 1997.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. De Bree A,
    2. Verschuren WM,
    3. Kromhout D,
    4. Kluijtmans LA,
    5. Blom HJ
    : Homocysteine determinants and the evidence to what extent homocysteine determines the risk of coronary heart disease. Pharmacol Rev 54: 599-618, 2002.
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Jacques PF,
    2. Bostom AG,
    3. Wilson PW,
    4. Rich S,
    5. Rosenberg IH,
    6. Selhub J
    : Determinants of plasma total homocysteine concentration in the Framingham offspring cohort. Am J Clin Nutr 73: 613-621, 2001.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Ntaios G,
    2. Savopoulos C,
    3. Chatzopoulos S,
    4. Mikhailidis D,
    5. Hatzitolios A
    : Iatrogenic hyperhomocysteinemia in patients with metabolic syndrome: A systematic review and metaanalysis. Atherosclerosis 214: 11-19, 2011.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Wu LL,
    2. Wu JT
    : Hyperhomocysteinemia is a risk factor for cancer and a new potential tumor marker. Clin Chim Acta 322: 21-28, 2002.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Yu L,
    2. Chen J
    : Association of MTHFR Ala222Val (rs1801133) polymorphism and breast cancer susceptibility: An update meta-analysis based on 51 research studies. Diagn Pathol 7: 171-181, 2012.
    OpenUrlPubMed
  14. ↵
    1. Jiao Z,
    2. Li D
    : Lack of association between MHTFR Glu429Ala polymorphism and breast cancer susceptibility: A systematic review and meta-analysis of 29 research studies. Tumour Biol 34: 1225-1233, 2013.
    OpenUrlPubMed
  15. ↵
    1. Zhu BT
    : On the mechanism of homocysteine pathophysiology and pathogenesis: A unifying hypothesis. Histol Histopathol 17: 1283-1291, 2002.
    OpenUrlPubMed
  16. ↵
    1. Yager JD,
    2. Liehr JG
    : Molecular mechanism of estrogen carcinogensis. Ann Rev Pharmacol Toxicol 36: 203-232, 1996.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Reljic A,
    2. Simundic AM,
    3. Topic E,
    4. Nikolac N,
    5. Justinic D,
    6. Stefanovic M
    : The methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism and cancer risk: The Croatian case control study. Clin Biochem 40: 981-985, 2007.
    OpenUrlPubMed
  18. ↵
    1. Beilby J,
    2. Ingram D,
    3. Hahnel R,
    4. Rossi E
    : Reduced breast cancer risk with increasing serum folate in a case control study of the C677T genotype of the methylenetetrahydrofolate reductase gene. Eur J Cancer 40: 1250-1254, 2004.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Shen H,
    2. Xu Y,
    3. Zheng Y,
    4. Qian Y,
    5. Yu R,
    6. Qin Y,
    7. Wang X,
    8. Spitz MR,
    9. Wei Q
    : Polymorphisms of 5,10-methylenetetrahydrofolate reductase and risk of gastric cancer in a Chinese population: A case control study. Int J Cancer 95: 332–336, 2001.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Teng Z,
    2. Wang L,
    3. Cai S,
    4. Yu P,
    5. Wang J,
    6. Gong J,
    7. Liu Y
    : The 677C>T (rs1801133) polymorphism in the MTHFR gene contributes to colorectal cancer risk: a meta-analysis based on 71 research studies. PLoS One 8(2): e55332, 2013.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Gershoni-Baruch R,
    2. Dagan E,
    3. Israeli D,
    4. Kasinetz L,
    5. Kadouri E,
    6. Friedman E
    : Association of the C677T polymorphism in the MTHFR gene with breast and/or ovarian cancer risk in Jewish women. Eur J Cancer 36: 2313-2316, 2000.
    OpenUrlCrossRefPubMed
    1. Campbell IG,
    2. Baxter SW,
    3. Eccles DM,
    4. Choong DY
    : Methylenetetrahydrofolatereductase polymorphism and susceptibility to breast cancer. Breast Cancer Res 4: R14, 2002.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Sharp L,
    2. Little J,
    3. Schofield AC,
    4. Pavlidou E,
    5. Cotton SC,
    6. Miedzybrodzka Z,
    7. Baird JO,
    8. Haites NE,
    9. Heys SD,
    10. Grubb DA
    : Folate and breast cancer: The role of polymorphisms in methylenetetrahydrofolate reductase (MTHFR). Cancer Lett 181: 65-71, 2002.
    OpenUrlCrossRefPubMed
  23. ↵
    1. Ergul E,
    2. Sazci A,
    3. Utkan Z,
    4. Canturk NZ
    : Polymorphisms in the MTHFR gene are associated with breast cancer. Tumour Biol 24: 286-290, 2003.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Semenza JC,
    2. Delfino RJ,
    3. Ziogas A,
    4. Anton-Culver H
    : Breast cancer risk and methylenetetrahydrofolate reductase polymorphism. Breast Cancer Res Treat 77: 217-223, 2003.
    OpenUrlCrossRefPubMed
  25. ↵
    1. Shrubsole MJ,
    2. Gao YT,
    3. Cai Q,
    4. Shu XO,
    5. Dai Q,
    6. Hébert JR,
    7. Jin F,
    8. Zheng W
    : MTHFR polymorphisms, dietary folate intake, and breast cancer risk: Results from the Shanghai Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 13: 190-196, 2004.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Le Marchand L,
    2. Haiman CA,
    3. Wilkens LR,
    4. Kolonel LN,
    5. Henderson BE
    : MTHFR polymorphisms, diet, HRT, and breast cancer risk: The multiethnic cohort study. Cancer Epidemiol Biomarkers Prev 13: 2071-2077, 2004.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. Lee SA,
    2. Kang D,
    3. Nishio H,
    4. Lee MJ,
    5. Kim DH,
    6. Han W,
    7. Yoo KY,
    8. Ahn SH,
    9. Choe KJ,
    10. Hirvonen A,
    11. Noh DY
    : Methylenetetrahydrofolate reductase polymorphism, diet, and breast cancer in Korean women. Exp Mol Med 36: 116-121, 2004.
    OpenUrlPubMed
  28. ↵
    1. Chen J,
    2. Gammon MD,
    3. Chan W,
    4. Palomeque C,
    5. Wetmur JG,
    6. Kabat GC,
    7. Teitelbaum SL,
    8. Britton JA,
    9. Terry MB,
    10. Neugut AI,
    11. Santella RM
    : One-carbon metabolism, MTHFR polymorphisms, and risk of breast cancer. Cancer Res 65: 1606-1614, 2005.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Justenhoven C,
    2. Hamann U,
    3. Pierl CB,
    4. Rabstein S,
    5. Pesch B,
    6. Harth V,
    7. Baisch C,
    8. Vollmert C,
    9. Illig T,
    10. Bruning T,
    11. Ko Y,
    12. Brauch H
    : One-carbon metabolism and breast cancer risk: no association of MTHFR, MTR, and TYMS polymorphisms in the GENICA study from Germany. Cancer Epidemiol Biomarkers Prev 14: 3015-3018, 2005.
    OpenUrlFREE Full Text
  30. ↵
    1. Laird PW,
    2. Jaenisch R
    : DNA methylation and cancer. Hum Mol Genet 3: 1487-1495, 1994.
    OpenUrlAbstract
  31. ↵
    1. Wolk A,
    2. Gridley G,
    3. Svensson M,
    4. Nyrén O,
    5. McLaughlin JK,
    6. Fraumeni JF,
    7. Adam HO
    : A prospective study of obesity and cancer risk (Sweden). Cancer Causes Control 12: 13-21, 2001.
    OpenUrlCrossRefPubMed
  32. ↵
    1. Thorleifsson G,
    2. Walters GB,
    3. Gudbjartsson DF,
    4. Steinthorsdottir V,
    5. Sulem P,
    6. Helgadottir A,
    7. Styrkarsdottir U,
    8. Sulem P,
    9. Helgadottir A,
    10. Styrkarsdottir U,
    11. Gretarsdottir S,
    12. Thorlacius S,
    13. Jonsdottir I,
    14. Jonsdottir T,
    15. Olafsdottir EJ,
    16. Olafsdottir GH,
    17. Jonsson T,
    18. Jonsson F,
    19. Borch-Johnsen K,
    20. Hansen T,
    21. Andersen G,
    22. Jorgensen T,
    23. Lauritzen T,
    24. Aben KK,
    25. Verbeek AL,
    26. Roeleveld N,
    27. Kampman E,
    28. Yanek LR,
    29. Becker LC,
    30. Tryggvadottir L,
    31. Rafnar T,
    32. Becker DM,
    33. Gulcher J,
    34. Kiemeney LA,
    35. Pedersen O,
    36. Kong A,
    37. Thorsteinsdottir U,
    38. Stefansson K
    : Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 41: 18-24, 2009.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Kaklamani V,
    2. Yi N,
    3. Sadim M,
    4. Siziopikou K,
    5. Zhang K,
    6. Xu Y,
    7. Tofilon S,
    8. Agarwal S,
    9. Pasche B,
    10. Mantzoros C
    : The role of the fat mass and obesity associated gene (FTO) in breast cancer risk. BMC Med Genet 12: 52, 2011.
    OpenUrlPubMed
  34. ↵
    1. Almén MS,
    2. Jacobsson JA,
    3. Moschonis G,
    4. Benedict C,
    5. Chrousos GP,
    6. Fredriksson R,
    7. Schiöth HB
    : Genome wide analysis reveals association of a FTO gene variant with epigenetic changes. Genomics 99: 132-137, 2012.
    OpenUrlCrossRefPubMed
  35. ↵
    1. Akilzhanova A,
    2. Takamura N,
    3. Zhaojia Y,
    4. Aoyagi K,
    5. Karazhanova L,
    6. Yamashita S
    : Kazakhstan: A folate deficient area? Eur J ClinNutr 60: 1141-1143, 2006.
    OpenUrl
  36. ↵
    1. Akilzhanova A,
    2. Takamura N,
    3. Aoyagi K,
    4. Karazhanova L,
    5. Yamashita S
    : Effect of B vitamins and genetics on success of in vitro fertilisation. Lancet 368: 200-201, 2006.
    OpenUrlPubMed
  37. ↵
    1. Doumas BT,
    2. Watson WA,
    3. Biggs HG
    : Albumin standards and measurement of serum albumin with bromcresol green. Clin Chim Acta 31: 87-96, 1971.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Vester B,
    2. Rasmussen K
    : High Performance Liquid Chromatography Method for Rapid and Accurate Determination of Homocysteine in Plasma and Serum. Eur J Clin Chem Clin Biochem 29: 549-554, 1991.
    OpenUrlPubMed
  39. ↵
    1. Friedewald WT,
    2. Levy RI,
    3. Fredrickson DS
    : Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18: 499-502, 1972.
    OpenUrlAbstract/FREE Full Text
  40. ↵
    1. Solé X,
    2. Guinó E,
    3. Valls J,
    4. Iniesta R,
    5. Moreno V
    : SNPStats: A web tool for theanalysis of association studies. Bioinformatics 22: 1928-1929, 2006.
    OpenUrlAbstract/FREE Full Text
  41. ↵
    1. Zintzaras E
    : Methylenetetrahydrofolate reductase gene and susceptibility to breast cancer: A meta-analysis. Clin Genet 69: 327-336, 2006.
    OpenUrlCrossRefPubMed
  42. ↵
    1. Gammon MD,
    2. Santella RM,
    3. Neugut AI,
    4. Eng SM,
    5. Teitelbaum SL,
    6. Paykin A,
    7. Levin B,
    8. Terry MB,
    9. Young TL,
    10. Wang LW,
    11. Wang Q,
    12. Britton JA,
    13. Wolff MS,
    14. Stellman SD,
    15. Hatch M,
    16. Kabat GC,
    17. Senie R,
    18. Garbowski G,
    19. Maffeo C,
    20. Montalvan P,
    21. Berkowitz G,
    22. Kemeny M,
    23. Citron M,
    24. Schnabel F,
    25. Schuss A,
    26. Hajdu S,
    27. Vinceguerra V
    : Environmental toxins and breast cancer on Long Island. I. Polycyclic aromatic hydrocarbon DNA adducts. Cancer Epidemiol Biomarkers Prev 11: 677-685, 2002.
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Sellers TA,
    2. Kushi LH,
    3. Cerhan JR,
    4. Vierkant RA,
    5. Gapstur SM,
    6. Vachon CM,
    7. Olson JE,
    8. Therneau TM,
    9. Folsom AR
    : Dietary folate intake, alcohol, and risk of breast cancer in a prospective study of postmenopausal women. Epidemiology 12: 420-428, 2001.
    OpenUrlCrossRefPubMed
  44. ↵
    1. Lin WY,
    2. Chou YC,
    3. Wu MH,
    4. Huang HB,
    5. Jeng YL,
    6. Wu CC,
    7. Yu CP,
    8. Yu JC,
    9. You SL,
    10. Chu TY,
    11. Chen CJ,
    12. Sun CA
    : The MTHFR C677T polymorphism, estrogen exposure and breast cancer risk: A nested case control study in Taiwan. Anticancer Res 24: 3863-3868, 2004.
    OpenUrlAbstract/FREE Full Text
  45. ↵
    1. Hekim N,
    2. Ergen A,
    3. Yaylim I,
    4. Yilmaz H,
    5. Zeybek U,
    6. Oztürk O,
    7. Isbir T
    : No association between methylenetetrahydrofolatereductase C677T polymorphism and breast cancer. Cell Biochem Funct 25: 115-117, 2007.
    OpenUrlPubMed
  46. ↵
    1. Wu XY,
    2. Ni J,
    3. Xu WJ,
    4. Zhou T,
    5. Wang X
    : Interactions between MTHFR C677T-A1298C variants and folic acid deficiency affect breast cancer risk in a Chinese population. Asian Pac J Cancer Prev 13: 2199-2206, 2012.
    OpenUrlPubMed
  47. ↵
    1. Diakite B,
    2. Tazzite A,
    3. Hamzi K,
    4. Jouhadi H,
    5. Nadifi S
    : Methylenetetrahydrofolate reductase C677T polymorphism and breast cancer risk in Moroccan women. Afr Health Sci 12: 204-209, 2012.
    OpenUrlPubMed
  48. ↵
    1. Lajin B,
    2. Alhaj Sakur A,
    3. Ghabreau L,
    4. Alachkar A
    : Association of polymorphisms in one-carbon metabolizing genes with breast cancer risk in Syrian women. Tumour Biol 33: 1133-1139, 2012.
    OpenUrlPubMed
  49. ↵
    1. Hosseini M,
    2. Houshmand M,
    3. Ebrahimi A
    : MTHFR polymorphisms and breast cancer risk. Arch Med Sci 7: 134-137, 2011.
    OpenUrlPubMed
  50. ↵
    1. Ferroni P,
    2. Palmirotta R,
    3. Martini F,
    4. Riondino S,
    5. Savonarola A,
    6. Spila A,
    7. Ciatti F,
    8. Sini V,
    9. Mariotti S,
    10. Del Monte G,
    11. Roselli M,
    12. Guadagni F
    : Determinants of homocysteine levels in colorectal and breast cancer patients. Anticancer Res 29: 4131-4138, 2009.
    OpenUrlAbstract/FREE Full Text
    1. Ferraroni M,
    2. Gerber M,
    3. Decarli A,
    4. Richardson S,
    5. Marubini E,
    6. Crastes de Paulet P,
    7. Crastes de Paulet A,
    8. Pujol H
    : HDL-cholesterol and breast cancer: A joint study in northern Italy and southern France. Int J Epidemiol 22: 772-780, 1993.
    OpenUrlAbstract/FREE Full Text
  51. ↵
    1. Fiorenza AM,
    2. Branchi A,
    3. Sommariva D
    : Serum lipoprotein profile in patients with cancer. A comparison with non-cancer subjects. Int J Clin Lab Res 30: 141-145, 2000.
    OpenUrlCrossRefPubMed
  52. ↵
    1. Llanos AA,
    2. Makambi KH,
    3. Tucker CA,
    4. Wallington SF,
    5. Shields PG,
    6. Adams-Campbell LL
    : Cholesterol, lipoproteins, and breast cancer risk in African American women. Ethn Dis 22: 281-287, 2012.
    OpenUrlPubMed
  53. ↵
    1. Furberg AS,
    2. Jasienska G,
    3. Bjurstam N,
    4. Torjesen PA,
    5. Emaus A,
    6. Lipson SF,
    7. Ellison PT,
    8. Thune I
    : Metabolic and hormonal profiles: HDL cholesterol as a plausible biomarker of breast cancer risk. The Norwegian EBBA Study. Cancer Epidemiol Biomarkers Prev 14: 33-40, 2005.
    OpenUrlAbstract/FREE Full Text
  54. ↵
    1. Lin J,
    2. Lee IM,
    3. Cook NR,
    4. Selhub J,
    5. Manson JE,
    6. Buring JE,
    7. Zhang SM
    : Plasma folate, vitamin B-6, vitamin B-12, and risk of breast cancer in women. Am J Clin Nutr 87: 734-743, 2008.
    OpenUrlAbstract/FREE Full Text
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Anticancer Research: 33 (9)
Anticancer Research
Vol. 33, Issue 9
September 2013
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Genetic Profile and Determinants of Homocysteine Levels in Kazakhstan Patients with Breast Cancer
AINUR AKILZHANOVA, ZHANNUR NURKINA, KUVAT MOMYNALIEV, ERLAN RAMANCULOV, ZHAXYBAI ZHUMADILOV, TOLEBAY RAKHYPBEKOV, NAOMI HAYASHIDA, MASAHIRO NAKASHIMA, NOBORU TAKAMURA
Anticancer Research Sep 2013, 33 (9) 4049-4059;

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Genetic Profile and Determinants of Homocysteine Levels in Kazakhstan Patients with Breast Cancer
AINUR AKILZHANOVA, ZHANNUR NURKINA, KUVAT MOMYNALIEV, ERLAN RAMANCULOV, ZHAXYBAI ZHUMADILOV, TOLEBAY RAKHYPBEKOV, NAOMI HAYASHIDA, MASAHIRO NAKASHIMA, NOBORU TAKAMURA
Anticancer Research Sep 2013, 33 (9) 4049-4059;
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Keywords

  • Breast cancer
  • folate
  • homocysteine
  • MTHFR
  • FTO
  • polymorphism
  • Kazakhstan
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