Literature DB >> 27672331

Polymorphisms in the MTHFR gene are associated with recurrence risk in lymph node-positive breast cancer patients.

Ali Suner1, Hakan Buyukhatipoglu1, Gokmen Aktas1, Tulay Kus1, Mustafa Ulasli2, Serdar Oztuzcu2, Mehmet Emin Kalender1, Alper Sevinc1, Seval Kul3, Celaletdin Camci1.   

Abstract

PURPOSE: The aim of this study is to clarify the relationship between recurrence risk of breast cancer and methylenetetrahydrofolate reductase (MTHFR) C677T polymorphisms. PATIENTS AND METHODS: Breast cancer patients who had undergone surgery in Gaziantep University Oncology Hospital between June 2005 and June 2012 were followed-up and retrospectively enrolled in this study. Blood samples were collected from all patients to assess MTHFR C677T polymorphisms. Stage according to tumor-node-metastasis system, estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 status, grade of disease, menopausal status, and administered chemotherapy or hormonal therapy were recorded. Effects of these parameters on recurrence risk were evaluated using univariate analysis and multivariate binary logistic regression model.
RESULTS: Association of MTHFR C677T polymorphisms with recurrence risk was evaluated in 298 patients whose median age was 47 years (range: 21-79 years). In all patients, age (odds ratio [OR] =0.953, P=0.005) and N3 lymph node status (OR =6.293, P=0.001) were found to affect the recurrence risk. While MTHFR homozygote genotype did not have an effect on recurrence risk in all patients, increased risk was observed in lymph node-positive subgroup (OR =4.271; 95% CI 1.515-12.023; P=0.006). Adjusting for age, tumor size (T), and node status (N), MTHFR homozygote genotype had more statistically significant risk for recurrence (OR =3.255; 95% CI 1.047-10.125; P=0.041).
CONCLUSION: MTHFR TT genotype was found to be associated with increased recurrence risk in patients with lymph node-positive breast cancer.

Entities:  

Keywords:  MTHFR; breast cancer; methylenetetrahydrofolate reductase; recurrence risk; rs9651118 polymorphism

Year:  2016        PMID: 27672331      PMCID: PMC5024764          DOI: 10.2147/OTT.S104890

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Early-stage breast cancer is the most probable curative disease when compared to other cancer types; however, still the most principal problem in the disease management is the possible recurrence, and the most critical question for clinicians is “what are the predicting parameters of the long-term recurrence?”. Traditional parameters such as stage according to the pathological tumor–node–metastasis (TNM) system, the number of metastatic lymph nodes, the extent of metastases in the lymph nodes, histological type and grade of the tumor, resection margins including the location and minimum distance of the margin, vascular invasion, and expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), and Ki-67 are used to decide the adjuvant treatment choice and also to predict breast cancer recurrence and survival.1 In addition, there have been untraditional markers predicting breast cancer recurrence. Personalized medicine in oncology focuses on methylenetetrahydrofolate reductase (MTHFR), which is accepted as one of the untraditional predicting markers for cancer survival.2–5 Methylenetetrahydrofolates play an essential role in de novo synthesis of purines and the pyrimidine nucleoside; hence, they have an integral role in DNA biosynthesis and repair and maintenance of DNA stability. They participate in the remethylation of homocysteine to methionine, the precursor of S-adenosylmethionine, which is the principal methyl donor in most cellular reactions.6 Folate deficiency induces carcinogenesis via decreasing essential tumor suppressor activation and increasing inappropriate proto-oncogene activation and leads to the development of several epithelial cell malignancies, including the breast, colorectal, ovary, pancreas, brain, lung, esophagus, and cervix, by provoking DNA strand breakage and chromosomal aberrations.7–11 Functional polymorphisms in the genes encoding one-carbon metabolism enzymes are MTHFR (C677T), methionine synthase (MTR A2756G), methionine synthase reductase (MTRR A66G), and thymidylate synthase, which influence folate metabolism.12 MTHFR plays a central role in intracellular folate homeostasis and metabolism by irreversibly catalyzing the conversion of 5,10-methylenetetrahydrofolate (5,10-MTHF) to 5-methyltetrahydrofolate.13 C677T is associated with decrease in MTHFR activity and increase in the levels of homocysteine and A1298C, which is also related to the reduction of MTHFR activity. Two common polymorphisms of MTHFR genes are related to increased risk of breast cancer,14–16 although existing studies suggested contradiction with these findings.17–20 These polymorphisms could also play a role in the prediction of breast cancer survival. We aimed to assess the role of MTHFR C677T polymorphisms in predicting the recurrence of breast cancer.

Patients and methods

Pathologically confirmed nonmetastatic breast cancer patients treated in Gaziantep University Oncology Hospital between June 2005 and June 2012 were consecutively enrolled retrospectively for this study. The study was reviewed and approved by the Independent Ethics Committee of Gaziantep University, and written informed consent was obtained from all of the patients. All patients had undergone simple mastectomy or modified radical mastectomy and axillary lymph node dissection. Stage based on the TNM system, ER, PR, HER-2 status, and grade were recorded. Patients received anthracycline-based chemotherapy with or without taxanes. Administered chemotherapy and consequent hormonal therapy were noted. Patients receiving adjuvant 5-fluorouracil (5-FU) were also separately noted. Five milliliter blood samples were collected into sterile siliconized vacuum tubes containing 2 mg/mL disodium ethylenediaminetetraacetic acid. Genomic DNA was immediately extracted from whole blood. Genetic variants of rs1801133 at chromosome 1:11796321 in the MTHFR gene (amino acid translation Ala140Val) were studied by using Genotyping the Fluidigm Digital Array. These polymorphisms were evaluated by using genomic DNA with a 96.96 dynamic array on the BioMark HD system (Fluidigm, South San Francisco, CA, USA). This trial was designed to assess whether MTHFR polymorphism influences the recurrence risk of breast cancer together with the other predicting parameters of recurrence.

Statistical analysis

First, univariate analyses were performed to compare the two groups; Student’s t-tests (for continuous variables) and chi-square tests (for categorical variables) were used. Second, multivariate binary logistic regression models were used for determining possible risk factors. Clinically related variables were included in the model if significant at the 10% level according to the univariate analysis results. Multicollinearity was checked by calculating variance inflation factors. All univariate analyses were performed in SPSS for windows Version 22.0. A two-sided P-value <0.05 was defined as statistically significant.

Results

A total of 298 patients were enrolled in this study. Their mean age was 47 years (range 21–79 years). Fifty-eight (19.5%) patients showed recurrence. There was a statistically significant difference in the categories of age, menopausal status, grade, size of tumor (T), and axillary lymph node status (N) according to univariate analysis. However, no statistically significant difference was observed in the categories of ER expression, PR expression, HER-2 expression, use of 5-FU in adjuvant setting, and MTHFR C677T polymorphisms in terms of recurrence (Table 1). Multivariate binary logistic regression model is given in Table 2 for all patients. Grade was not added to the model because of the strong correlation with the lymph node status. Adjusting for menopausal status, use of 5-FU, ER expression, tumor size, age (odds ratio [OR] =0.953, P=0.005), and N3 lymph node status (OR =6.293, P=0.001) appeared to affect recurrence risk (Table 2). Adjusted R2 for this model was 24%.
Table 1

Univariate analysis of all patients in terms of recurrence

Risk factorsRecurrence
OR (95% CI)P-value
PresentAbsent
Age, years44.38±11.5950.21±11.590.954 (0.928–0.981)0.001
Menopausal status
 Pre41 (70.7)122 (50.8)2.333 (1.256–4.334)0.007
 Post17 (29.3)118 (48.2)1 (reference)
Use of 5-FU
 Rceived22 (42.3)56 (28.6)1.833 (0.975–3.447)0.060
 Not received30 (57.7)140 (71.4)1 (reference)
Er expression
 Positive36 (62.1)177 (74.1)1 (reference)
 Negative22 (37.9)62 (25.9)1.745 (0.954–3.192)0.071
PR expression
 Positive41 (70.7)169 (70.7)0.999 (0.532–1.876)0.997
 Negative17 (29.3)70 (29.3)1 (reference)
HER-2 expression
 Positive17 (29.3)68 (28.7)1.030 (0.548–1.938)0.926
 Negative41 (70.7)169 (71.3)1 (reference)
Grade, P=0.033
 11 (1.8)21 (8.8)1 (reference)
 222 (40)123 (51.5)3.756 (0.480–29.375)0.207
 332 (58.2)95 (39.7)7.074 (0.915–54.712)0.061
Tumor size (T), P=0.048
 13 (5.2)35 (14.6)1 (reference)
 236 (62.1)143 (59.6)2.937 (0.855–10.093)0.087
 316 (27.6)37 (15.4)5.045 (1.352–18.827)0.016
 43 (5.2)25 (10.4)1.400 (0.261–7.516)0.695
Lymph node status (N), P<0.00
 013 (22.4)96 (40)1 (reference)
 114 (24.1)87 (36.2)1.188 (0.529–2.668)0.676
 216 (27.6)38 (15.8)3.109 (1.366–7.078)0.007
 315 (25.9)19 (7.9)5.830 (2.392–14.210)<0.001
MTHFR, P=0.176
 CC27 (46.6)123 (51.2)1 (reference)
 CT21 (36.2)96 (40)0.997 (0.531–1.870)0.991
 TT10 (17.2)21 (8.8)2.169 (0.917–5.129)0.078

Note: Recurrence data presented as n (%) or mean ± SD.

Abbreviations: OR, odds ratio; 5-FU, 5-fluorouracil; ER, estrogen receptor; PR, progesterone receptor; HER-2, human epidermal growth factor receptor; MTHFR, methylenetetrahydrofolate reductase; CI, confidence interval.

Table 2

Multivariate binary logistic regression model for the risk factors of recurrence

Risk factorsBSEP-valueOR95% CI for OR
LowerUpper
MTHFR (TT)0.5270.5170.3081.6930.6154.663
MTHFR (CT)−0.1490.4030.7100.8610.3911.896
Age−0.0480.0170.0050.9530.9220.986
5-FU (1)0.5210.3660.1541.6830.8223.448
ER (1)0.3090.3870.4251.3620.6382.906
T (2 vs 1)0.5540.6890.4221.7400.4516.718
T (3 vs 1)0.4640.7610.5421.5900.3587.063
T (4 vs 1)−0.8480.9630.3780.4280.0652.828
n (1 vs 0)−0.0750.4640.8710.9270.3742.303
n (2 vs 0)0.8720.5000.0812.3910.8976.375
n (3 vs 0)1.8390.5680.0016.2932.06619.167

Notes: B is the estimated logit coefficient. SE is the standard error of the coefficient. P-value is the significance level of the coefficient.

Abbreviations: SE, standard error; OR, odds ratio; MTHFR, methylenetetrahydrofolate reductase; 5-FU, 5-fluorouracil; ER, estrogen receptor; T, tumor size; N, lymph node status; CI, confidence interval.

Analysis of lymph node-positive patients

Excluding the lymph node-negative (N0) patients, 189 patients were analyzed for the recurrence according to risk factors. Univariate analysis for age, menopausal status, use of 5-FU, ER expression, PR expression, HER-2 expression, grade, T, N, and MTHFR is summarized in Table 3. MTHFR homozygote genotype has an OR of 4.271 compared with MTHFR wild genotype in univariate analysis. Analysis revealed that MTHFR C677T polymorphisms, age, T3 tumor size, and N2–N3 lymph node involvement were prognostic indicators for recurrence. Variables with P<0.10 were added to multivariate binary logistic regression model (Table 4). Adjusting for age, T, and N, MTHFR homozygote genotype still showed a statistically significant risk for recurrence (OR =3.255; 95% CI 1.047–10.125; P=0.041). Adjusted R2 for this model was 22.1%.
Table 3

Univariate analysis results after excluding N0 patients

Risk factorsRecurrence
OR (95% CI)P-value
PresentAbsent
Age, years45.02±11.9449.29±12.020.964 (0.933–0.997)0.038
Menopausal status
 Pre30 (66.7)77 (53.5)1 (reference)
 Post15 (33.3)65 (46.5)0.575 (0.285–1.158)0.121
Use of 5-FU
 Received17 (41.5)38 (30.4)1.622 (0.782–3.361)0.194
 Not received24 (58.5)87 (69.6)1 (reference)
ER expression
 Positive29 (64.4)103 (72)1 (reference)
 Negative16 (35.6)40 (28)1.421 (0.698–2.893)0.333
PR expression
 Positive35 (77.8)99 (69.2)1.556 (0.708–3.419)0.271
 Negative10 (22.2)44 (30.8)1 (reference)
HER-2 expression
 Positive14 (31.1)43 (30.5)1.029 (0.498–2.127)0.938
 Negative31 (68.9)98 (69.5)1 (reference)
Grade, P=0.037
 11 (2.4)9 (6.2)1 (reference)
 215 (35.7)66 (45.8)2.045 (0.240–17.397)0.512
 326 (61.9)69 (47.9)3.391 (0.409–28.102)0.258
Tumor size (T), P=0.002
 12 (4.4)19 (13.2)1 (reference)
 226 (57.8)83 (57.6)2.976 (0.649–13.636)0.160
 314 (31.1)25 (17.4)5.320 (1.077–26.276)0.040
 43 (6.7)17 (11.8)1.676 (0.249–11.266)0.595
Lymph node status (N), P<0.001
 114 (31.1)87 (60.4)1 (reference)
 216 (35.6)38 (26.4)2.617 (1.161–5.895)0.020
 315 (33.3)19 (13.2)4.906 (2.032–11.844),0.001
MTHFR, P≤0.01
 CC24 (53.3)82 (56.9)1 (reference)
 CT11 (24.4)54 (37.5)0.696 (0.315–1.537)0.370
 TT10 (22.2)8 (5.6)4.271 (1.517–12.023)0.006

Note: Recurrence data presented as n (%) or mean ± SD.

Abbreviations: OR, odds ratio; 5-FU, 5-fluorouracil; ER, estrogen receptor; PR, progesterone receptor; HER-2, human epidermal growth factor receptor; MTHFR, methylenetetrahydrofolate reductase; CI, confdence interval.

Table 4

Multivariate analysis of lymph node-positive patients according to risk factors in terms of recurrence

VariablesBSEP-valueOR95% CI for OR
LowerUpper
MTHFR (TT vs CC)1.1800.5790.0413.2551.04710.125
MTHFR (CT vs CC)−0.4410.4330.3080.6430.2751.504
Age−0.0360.0170.0350.9640.9330.997
T (2 vs 1)0.8840.8080.2742.4220.49711.806
T (3 vs 1)0.9280.8670.2852.5280.46213.840
T (4 vs 1)−0.3291.0380.7510.7190.0945.499
N (2 vs 1)1.0260.4460.0212.7911.1656.684
N (3 vs 1)1.4800.5050.0034.3921.63211.821

Notes: B is the estimated logit coefficient. SE is the standard error of the coefficient. P-value is the significance level of the coefficient.

Abbreviations: SE, standard error; OR, odds ratio; MTHFR, methylenetetrahydrofolate reductase; T, tumor size; N, lymph node status; CI, confidence interval.

Discussion

Several studies evaluated the effects of mutations in the MTHFR gene, which plays a role in DNA methylation, on breast cancer pathogeneses, and fewer studies evaluated the effects on breast cancer prognosis. MTHFR enzyme activity may be responsible for these entities by different mechanisms. ER and PR status have been used widely as prognostic markers and indicators for management of breast cancer treatment, and loss of function of these genes is a poor prognostic for recurrence of breast cancer. Promoter hypermethylations resulting from the decrease of enzyme activity have been implicated as an underlying mechanism for the loss of these receptors.21,22 It has been claimed that breast carcinogenesis could be associated with alteration of ER receptor gene methylation patterns and global DNA methylation with reduction in MTHFR enzyme activity; thus, less folate is available for DNA methylation.23,24 MTHFR enzyme activity is ~30%–40% in 677TT homozygote genotype, whereas it is ~60%–70% in C677T heterozygote genotype.25 Therefore, decreased enzyme activity may be associated with increased recurrence risk. In our study, we demonstrated that MTHFR 677TT homozygote genotype is significantly associated with the increased risk of breast cancer recurrence and prognosis when assessed using all pathological and clinical parameters, which probably have an effect on recurrence risk score. Otherwise, there is influence of MTHFR gene on breast cancer survival as a direct target effect via widely used anticancer drugs, such as methotrexate and 5-fluorouracil, in combination chemotherapies. Optimal efficacy of fluoropyrimidines requires elevated intratumoral concentrations of 5,10-MTHF.26 Lesser MTHFR enzymatic activity could theoretically favor an increase in intracellular 5,10-MTHFR concentrations. Accordingly, patients with mutated MTHFR genotypes may be more sensitive to fluoropyrimidine cytotoxicity and fluoropyrimidine responsiveness than wild-type genotype.27,28 While folate is antineoplastic before the diagnosis, it may enhance the tumor proliferation after tumor establishment. Thus, the effect of one-carbon metabolism on breast cancer survival may be complicated. In our study, it was shown that recurrence in patients who received 5-FU-based chemotherapy was not associated with MTHFR gene mutation. In addition, Shanghai Breast Cancer study showed that MTHFR genotypes were not associated with all-cause mortality in patients who received 5-FU and methotrexate-based chemotherapy consistent with our study. The 677TT genotype was associated with poor survival among those with late-stage disease (stage III–IV) in Chinese women but did not significantly affect the survival from early-stage disease consistent with our findings.29 A meta-analysis that was performed on Chinese population showed that MTHFR C677T polymorphism was significantly associated with breast cancer risk.30 A large meta-analysis including a total of 75 studies with 31,315 cases and 35,608 controls was assessed for the strength of association between C677T polymorphism and breast cancer risk. Accordingly, modest association between MTHFR C677T polymorphism and breast cancer was shown in all studies. Otherwise, subgroup analysis showed that there was a strong significant association between TT genotype and breast cancer (TT vs CC; OR =1.26; 95% CI 1.06–1.51; P=0.009) in Asian population; however, this association was not observed in Caucasian population (TT vs CC; OR =1.08; 95% CI 0.99–1.14; P=0.05).31 Lu et al examined whether several single nucleotide polymorphisms (SNPs) in the MTHFR gene are associated with risk and survival of 560 breast cancer patients compared with 560 healthy controls group. Participants were followed for 5 years; accordingly, it was found that one genetic marker was significantly associated with breast cancer survival. Patients with rs9651118 CC genotype had significantly decreased risk of death compared to the TT carriers when adjusted for age (hazard ratio [HR] =0.60; 95% CI 0.38–0.92). When adjusted for age, age at menarche, body mass index, family history of breast cancer, histological grade, ER status, PR status, and tumor size (<2 cm vs >2 cm), it was shown that rs9651118 was an independent prognostic factor for breast cancer survival with adjusted HR of 0.63 (95% CI 0.40–0.99; P=0.002). Axillary lymph node staging was not recorded, and tumor size was also stratified as only <2 cm vs >2 cm in this study.32 In our study, SNP of rs1801133 on MTHFR gene was found to be associated with increased recurrence risk consistent with those studies; however, multivariate analysis with TNM staging system and other prognostic parameters should be used to obtain more consistent results like our study. The study of Martin et al for evaluating the effect of SNP in MTHFR gene, C677T, and A1298C on survival in 248 operated Caucasian and African-American breast cancer patients showed that C677T was not significantly associated with breast cancer survival in the unstratified Cox regression analysis with adjustments for age at diagnosis, race, A1298C, body mass index, ER status, TNM stage, and chemotherapy. However, it was found that two polymorphisms in the MTHFR gene affect the survival of only ER-negative breast cancer patients (HR =2.70; 95% CI 1.17–6.23; P=0.02).33 In this study, 677TT and 677CC alleles were not studied. A large cohort study explored the role of dietary intakes of B vitamins (1,479 cases) and MTHFR genotypes (~1,065 cases) on survival in Caucasian breast cancer patients. Accordingly, the MTHFR 677T allele carriers had 31% decreased risk of death when compared to patients with the MTHFR 677CC genotype (HR =0.69; 95% CI 0.49–0.98). Additionally, it was examined whether the polymorphism–survival relationship differed by hormone receptor (ER/PR) status. Associations between the polymorphisms and survival showed no difference with respect to hormone receptor status.34 Another study performed on a Russian population showed that MTHFR C677T polymorphism was inversely associated with progression-free survival only among premenopausal breast cancer patients.35 Additionally, two other studies did not observe any relation between MTHFR gene C677T polymorphism and breast cancer survival.5,36 In these studies, 677TT and 677CC alleles were not assessed separately distinct from our study. In a Turkish population, the effects of FV Leiden mutation (FVL), PT G20210A, and MTHFR C677T (heterozygote allele) on the disease-free survival in 197 breast cancer patients were assessed. Data regarding patient’s age, menopausal status, tumor size, lymph node status, tumor stage, tumor grade, ER, PR, and HER-2 expression, FVL, PT G20210A and MTHFR C677T polymorphisms, and recurrence ratio of breast cancer were examined. Accordingly, there was no statistically significant difference between the categories of age, menopausal status, PR expression, FVL, and PT G20210A and MTHFR C677T polymorphisms in terms of recurrence (P> 0.05). MTHFR C677T polymorphism was not related to disease-free survival in breast cancer patients (P=0.670).36 Subgroup analysis of lymph node-positive patients for recurrence risk was not performed in this study. The aforementioned studies increasingly suggested that the effect of genetic polymorphism of folate metabolizing genes on breast cancer survival is variable in ethnic groups. In this regard, we evaluated the impact of MTHFR gene 677TT polymorphism on breast cancer survival in a population living in the southeast of Anatolia. No significant differences were revealed between MTHFR C677T polymorphism and recurrence risk when considering all pathologic and clinical parameters according to multivariant analysis consistent with other studies; on the other hand, subgroup analysis of our patients with MTHFR 677TT polymorphism showed increased recurrence risk in lymph node-positive patients. At the same time, MTHFR polymorphisms did not have any effect on the recurrence risk of patients who had received 5-FU-based regimen.

Conclusion

In Anatolian population, MTHFR rs9651118 TT genotype was found to be associated with increased recurrence risk in patients with lymph node-positive breast cancer.
  36 in total

1.  Polymorphisms in the MTHFR gene are associated with breast cancer risk and prognosis in a Chinese population.

Authors:  Qing Lu; Ke Jiang; Qiong Li; Ya-Jie Ji; Wei-Li Chen; Xiao-Hong Xue
Journal:  Tumour Biol       Date:  2015-01-08

2.  The effect of folate-related SNPs on clinicopathological features, response to neoadjuvant treatment and survival in pre- and postmenopausal breast cancer patients.

Authors:  Nataliya Babyshkina; Elena Malinovskaya; Mariya Nazarenko; Mariya Koval; Polina Gervas; Olga Potapova; Elena Slonimskaya; Nadejda Cherdyntseva
Journal:  Gene       Date:  2013-01-04       Impact factor: 3.688

3.  Lack of association between methylenetetrahydrofolate reductase genetic polymorphisms and postmenopausal breast cancer risk.

Authors:  Jasmina Ziva Cerne; Vida Stegel; Ksenija Gersak; Srdjan Novakovic
Journal:  Mol Med Rep       Date:  2010-11-30       Impact factor: 2.952

4.  Meta- and pooled analyses of the methylenetetrahydrofolate reductase C677T and A1298C polymorphisms and gastric cancer risk: a huge-GSEC review.

Authors:  Stefania Boccia; Rayjean Hung; Gualtiero Ricciardi; Francesco Gianfagna; Matthias P A Ebert; Jing-Yuan Fang; Chang-Ming Gao; Tobias Götze; Francesco Graziano; Marina Lacasaña-Navarro; Dongxin Lin; Lizbeth López-Carrillo; You-Lin Qiao; Hongbing Shen; Rachael Stolzenberg-Solomon; Toshiro Takezaki; Yu-Rong Weng; Fang Fang Zhang; Cornelia M van Duijn; Paolo Boffetta; Emanuela Taioli
Journal:  Am J Epidemiol       Date:  2007-12-27       Impact factor: 4.897

5.  Effect of the methylenetetrahydrofolate reductase C677T polymorphism on chemosensitivity of colon and breast cancer cells to 5-fluorouracil and methotrexate.

Authors:  Kyoung-Jin Sohn; Ruth Croxford; Zoe Yates; Mark Lucock; Young-In Kim
Journal:  J Natl Cancer Inst       Date:  2004-01-21       Impact factor: 13.506

Review 6.  Folate and cancer: a review of the literature.

Authors:  S A Glynn; D Albanes
Journal:  Nutr Cancer       Date:  1994       Impact factor: 2.900

7.  One-carbon metabolism-related gene polymorphisms and risk of breast cancer.

Authors:  Takeshi Suzuki; Keitaro Matsuo; Kaoru Hirose; Akio Hiraki; Takakazu Kawase; Miki Watanabe; Toshinari Yamashita; Hiroji Iwata; Kazuo Tajima
Journal:  Carcinogenesis       Date:  2008-01-03       Impact factor: 4.944

8.  Association of MTHFR gene polymorphisms with breast cancer survival.

Authors:  Damali N Martin; Brenda J Boersma; Tiffany M Howe; Julie E Goodman; Leah E Mechanic; Stephen J Chanock; Stefan Ambs
Journal:  BMC Cancer       Date:  2006-10-27       Impact factor: 4.430

9.  MTHFR 677C>T polymorphism and the risk of breast cancer: evidence from an original study and pooled data for 28031 cases and 31880 controls.

Authors:  Singh Pooja; Justin Carlus; Deepa Sekhar; Amirtharaj Francis; Nishi Gupta; Rituraj Konwar; Sandeep Kumar; Surender Kumar; Kumarasamy Thangaraj; Singh Rajender
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

10.  Investigating multiple candidate genes and nutrients in the folate metabolism pathway to detect genetic and nutritional risk factors for lung cancer.

Authors:  Michael D Swartz; Christine B Peterson; Philip J Lupo; Xifeng Wu; Michele R Forman; Margaret R Spitz; Ladia M Hernandez; Marina Vannucci; Sanjay Shete
Journal:  PLoS One       Date:  2013-01-23       Impact factor: 3.240

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