Lack of Association of <i>C677T</i> Methylenetetrahydrofolate Reductase Polymorphism with Breast Cancer Risk in Mali

Diakite, Brehima; Kassogue, Yaya; Maiga, Mamoudou; Dolo, Guimogo; Kassogue, Oumar; Holl, Jane L.; Joyce, Brian; Wang, Jun; Cisse, Kadidiatou; Diarra, Fousseyni; Keita, Mamadou L.; Traore, Cheick B.; Kamate, Bakarou; Sissoko, Sidi B.; Coulibaly, Bourama; Sissoko, Adama S.; Traore, Drissa; Sidibe, Fatoumata M.; Bah, Sekou; Teguete, Ibrahim; Ly, Madani; Nadifi, Sellama; Dehbi, Hind; Kim, Kyeezu; Murphy, Robert; Hou, Lifang

doi:https://doi.org/10.1155/2023/4683831

Genetics Research

On this page

Abstract Introduction Materials and Methods Results Discussion Conclusions Abbreviations Data Availability Ethical Approval Consent Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2023 | Article ID 4683831 | https://doi.org/10.1155/2023/4683831

Lack of Association of C677T Methylenetetrahydrofolate Reductase Polymorphism with Breast Cancer Risk in Mali

Brehima Diakite,¹Yaya Kassogue,¹Mamoudou Maiga,^1,2,3Guimogo Dolo,¹Oumar Kassogue,¹Jane L. Holl,⁴Brian Joyce,^2,3Jun Wang,^3,4Kadidiatou Cisse,¹Fousseyni Diarra,¹Mamadou L. Keita,¹and Cheick B. Traore¹ et al.

Academic Editor: Muhammad Babar Khawar

Received06 May 2022

Revised22 Dec 2022

Accepted06 Jan 2023

Published17 Jan 2023

Abstract

Methylenetetrahydrofolate reductase (MTHFR) plays a major role in the metabolism of folates and homocysteine, which in turn can affect gene expression and ultimately promote the development of breast cancer. Thus, mutations in the MTHFR gene could influence homocysteine, methionine, and S-adenosylmethionine levels and, indirectly, nucleotide levels. Imbalance in methionine and S-adenosylmethionine synthesis affects protein synthesis and methylation. These changes, which affect gene expression, may ultimately promote the development of breast cancer. We therefore hypothesized that such mutations could also play an important role in the occurrence and pathogenesis of breast cancer in a Malian population. In this study, we used the PCR-RFLP technique to identify the different genotypic profiles of the C677T MTHFR polymorphism in 127 breast cancer women and 160 healthy controls. The genotypic distribution of the C677T polymorphism in breast cancer cases was 88.2% for CC, 11.0% for CT, and 0.8% for TT. Healthy controls showed a similar distribution with 90.6% for CC, 8.8% for CT, and 0.6% for TT. We found no statistical association between the C677T polymorphism and breast cancer risk for the codominant models CT and TT . The same trend was observed when the analysis was extended to other genetic models, including dominant (p = 0.50), recessive (p = 0.87), and additive (p = 0.50) models. The C677T polymorphism of MTHFR gene did not influence the risk of breast cancer in the Malian samples.

1. Introduction

Breast cancer is a major public health problem in both developed and developing countries [1–3]. According to the Global Cancer Observatory on Cancer (GLOBOCAN 2020) report, breast cancer is the most common female cancer and the most frequently diagnosed cancer, followed by lung and prostate cancers, with 2.3 million new cases (11.7% of all cancers) and nearly 684,996 new deaths (6.9% of deaths of all registered cancers) [3]. Two recent reports (GLOBACAN 2018 and 2020) report that breast cancer ranks as the most common cancer among women followed by cervical cancer [2, 3]. The onset of breast cancer is a multifactorial process that involves clinical characteristics, lifestyle, environment, and genetic factors [4–6]. As a result, several mutations in certain genes are being investigated to better understand the mechanisms of breast cancer occurrence. However, it is important to emphasize that findings regarding involvement of these genes remain contradictory. Folates are involved in the process of carcinogenesis through the modulation of DNA methylation and the control of DNA synthesis based on daily food intake [7]. It should be noted that this contribution may vary depending on the polymorphism of the methylenetetrahydrofolate reductase (MTHFR) gene. MTHFR, known as an essential enzyme in folate metabolism, is involved in the regulation and conversion of homocysteine to methionine [8]. Indeed, MTHFR catalyzes the irreversible reduction of 5,10-methylenetetrahydrofolate (5,10-methylene-THF) to 5-methyl-THF. The major circulating form of folate, 5-methyl-THF, serves as a substrate for the methylation of homocysteine to methionine by using methionine synthase, which has vitamin B12 as a cofactor. Methionine enables the de novo biosynthesis of S-adenosylmethionine (SAM), which is the main donor of methyl radicals in humans [7, 8]. Many mutations have been identified in the MTHFR gene, including the substitution of a cytosine at position 677 by a thymine (C677T) [9, 10]. The distribution of this single nucleotide polymorphism (SNP) varies by study population and ethnic origins [11–15]. It has been reported that the TT mutant homozygote, which is associated with a significant decrease in the enzyme activity of MTHFR, is implicated in the processes of hypermethylation and hypomethylation of DNA [16] and could promote the development of certain cancers, such as breast cancer [14, 15, 17].

Data in the literature about the role of C677T in modulating the risk of cancer remain controversial. Several meta-analyses and reviews indicated that the C677T variant was associated with a risk of breast cancer [5, 15, 18, 19]. However, other reports have found no association [20, 21]. Given the impact of the C677T polymorphism on DNA methylation, we hypothesize that this polymorphism could play a major role in the pathogenesis of breast cancer in Mali, a multiethnic, West African population. To the best of our knowledge, data on the relationship between the C677T variant of MTHFR gene and the risk of breast cancer are lacking for the Malian population. In this study, we assess the association between the C677T polymorphism of MTHFR and breast cancer risk in a sample of Malian women with breast cancer and health controls.

2. Materials and Methods

2.1. Subjects

Study participants with breast cancer, who were seeking care at the oncology and pathology departments of University Hospital Center of Point G, Bamako, between July 2018 and January 2020, were recruited. Health controls were recruited at the Center National de Transfusion Sanguine (CNTS) in Bamako, Mali, which facilitated the recruitment of age-matched controls to patients. Age at diagnosis, tumor location, use of contraception, menopausal status, parity, breastfeeding, family history of breast cancer, history of benign breast disease, obesity, smoking, histological type, tumor size, lymph node involvement, and metastases, were manually extracted from each patient’s operative record. Inclusion criteria of study participants with breast cancer were women of age 18–55 years with confirmed breast cancer, availability of demographic, clinical and histological information, and absence of other cancer(s) and/or chronic disease(s). Inclusion criteria for healthy control participants were women of age 18 to 55 years without any history of malignancy or chronic disease. The study was approved by the Ethics Committee of the Faculty of Medicine and Odontostomatology/Faculty of Pharmacy (2018/63/CE/FMPOS) at the University of Sciences, Techniques, and Technologies of Bamako (USTTB), and all participants provided informed consent before any study activities.

2.2. Genotyping of MTHFR C677T Polymorphism

Genomic DNA was isolated from whole blood samples (5 ml of peripheral blood), using GentaPuregene Extraction Kit, Qiagen. Spectrophotometer was used to check the quantity and quality of the DNA. The PCR-RFLP technique was used to determine the C677T polymorphism of MTHFR, using the forward and reverse primers sequences, as described previously [9]. A 25 μl final reaction volume containing 10 X reaction buffer, 25 mM MgCl₂, 5 mM dNTP, 5 μM primers, 500 U of Taq DNA polymerase, and 100 ng genomic DNA was used to amplify C677T from MTHFR. PCR amplification conditions included an initial denaturation step for 5 minutes (min) at 95°C, followed by 35 cycles: denaturation at 95°C for 1 min, annealing at 55°C for 1 min with extension at 72°C for 1 min. A final extension step was carried out at 72°C for 7 min. The PCR products were electrophoresed on 2% agarose gels stained with ethidium bromide. The C to T substitution at position 677 of MTHFR creates a restriction site with HinfI enzyme for the C677T MTHFR polymorphism. After amplification and digestion, PCR products showed one fragment of 198 bp for wild CC, three fragments of 198, 175, and 23 bp for CT and two fragments of 175 and 23 bp for TT (Figure 1). In addition, 10% of the sample was retested to ensure that the PCR results were accurate.

2.3. Statistical Analysis

SPSS 16.0 software (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. The relationship between the C677T polymorphism of MTHFR and demographic, clinical, and histological characteristics was assessed using the χ² test. The same test was used to check Hardy−Weinberg equilibrium. The association between the C677T polymorphism and the risk of breast cancer in all genetic models (codominant: CT versus (vs.) CC and TT vs. CC, dominant: CT + TT vs. CC, recessive: TT vs CT + CC, additive: T vs C) was measured by calculating the OR with 95% confidence interval (CI). A value less than 0.05 was considered significant in all tests.

3. Results

We recruited 127 patients with breast cancer, including 121 cases with invasive ductal carcinoma (IDC) and 6 cases with other histological forms (glycogen-rich clear cell carcinoma, lobular carcinoma in situ, moderately differentiated adenocarcinoma, and infiltrating adenocarcinoma) and 160 healthy controls. The mean age of patients was 43.30 ± 2.1 years and 41.2 ± 2.5 years for control subjects, respectively. Table 1 shows the clinical and histological characteristics of the breast cancer group. Among breast cancer patients, 54.7% were ≤40 years old, 59.0% had a left breast tumor, 70.1% were not using a contraceptive, 52.8% were of childbearing age with 74.8% being nulliparous, 92.1% reported no family history of breast cancer, 67.7% were not obese, and 84.3% of patients were nonsmokers. Invasive ductal carcinoma was the most prevalent histological type (95.3%) compared to other types, including glycogen-rich clear cell carcinoma, lobular carcinoma in situ, moderately differentiated adenocarcinoma, and infiltrating adenocarcinoma. When considering the TNM classification (T, tumor size; N, nodal involvement; M, metastasis), T3, N0, and M0 were 63.0%, 56.7%, and 93.7%, respectively. No correlation was observed between the C677T polymorphism of MTHFR and clinicopathological characteristics in breast cancer patients (Table 1).

Table 2 represents the distribution of C677T MTHFR polymorphism the in breast cancer group according to genetic models. The distribution of genotypes was 88.2% for CC wild type, 11.0% for CT heterozygous, and 0.8% for TT mutant homozygous in the cases and 90.6% for CC, 8.8% for CT, and 0.6% for TT in the controls. The allelic frequencies in cases and controls were 93.7% for C, 6.3% for T, and 95.0% for C, 5.0% for T, respectively. None of the genetic models showed a significant association of the C677T polymorphism and risk of breast cancer, including the codominant model (CT vs. CC: OR = 1.29, 95% CI = 0.59–2.82 and TT vs. CC: 1.29, 95% CI = 0.08–20.92), dominant model (TT + CT vs. CC: OR = 1.29, 95% CI = 0.61–2.76; p = 0.50), recessive model (TT vs. CC + CT: OR = 1.26, 95% CI = 0.08–20.37; p = 0.87), and additive model (T vs. C: OR = 1.28, 95% CI = 0.62–2.61; p = 0.50) (Table 2). The distribution of genotypic and allelic frequencies was in agreement with Hardy−Weinberg equilibrium in both cases (X² = 0.56, p = 0.45) and controls (X² = 0.99, p = 0.32).

4. Discussion

We observed that the frequency of the mutant T allele in our healthy controls (5.0%) was statistically comparable to those reported in West African countries, including, Burkina Faso (6.0%) [22], Nigeria (6%) [23], Gambia (6.2%) [24], Togo (8.3%) [25], and Ghana (8%) [26]. In contrast, this frequency was lower than those observed in India (13.1%) [27], Morocco (24.0%) [14], Iran (21.7%) [21], Turkey (27.4%) [28], Brazil (31.2%) [29], United States of America (31.5%) [30], Italy (41.4%) [31], China (41.8%) [32], and Mexico (43.2%) [33]. The wide range distribution of the mutant T allele in healthy women appears to depend on the study population and ethnic origins.

The present case-control study revealed that the C677T polymorphism of MTHFR is not linked with the occurrence of breast cancer in a sample of women from Mali. Numerous studies have been undertaken to assess the influence of the C677T polymorphism of MTHFR in breast cancer, but the conclusions remain conflicted. Our results are consistent with previously published work, which found no significant association with risk of breast cancer [27–29, 31, 33]. Three recent meta-analyses, one comprising 75 studies with 31,315 cases and 35, 608 controls, the second comprising 39 studies with 19,260 cases and 26,364 controls, and the third comprising 67 studies with 23,440 cases and 27880 controls, showed no significant association between the C677T polymorphism of MTHFR and risk of breast cancer in Caucasian women, but not in Asian women [19, 20, 34] and mixed women population [34]. These results are in part consistent with the present study. Contrary to our findings, a meta-analysis comprising 9 studies with 2136 cases and 2436 controls showed a significant association of the C677T polymorphism with the risk of breast cancer in Latino women [35]. The discrepancy between studies of the C677T polymorphism of MTHFR with occurrence of breast cancer could be due to sample size, ethnic origins, genetic background, linkage disequilibrium, and in particular the lifestyle of the populations studied.

Although a clear mechanism by which the MTHFR mutation promotes the development of breast cancer has not yet been fully established, the C677T polymorphism has been considered to be a variant producing a thermolabile enzyme with limited activity. This variant is the most common genetic cause of hyperhomocysteinemia [36, 37]. In physiological situations, 5,10-methylene tetrahydrofolate reductase (MTHFR) catalyzes the irreversible reduction of 5,10-methylene tetrahydrofolate (CH2THF) to 5-methyltetrahydrofolate (CH3THF) [38]. Thus, the activity of MTHFR affects the availability of CH2THF, which influences the synthesis of RNA and DNA. MTHFR plays a major role in folate and homocysteine metabolisms by acting on the transfer of its methyl group during the remethylation of homocysteine by methionine synthase. MTHFR can modulate the levels of homocysteine, methionine, and S-adenosylmethionine and indirectly influence the levels of nucleotide, since its substrate, 5,10-methylene tetrahydrofolate, is used for the synthesis of thymidine [38]. The imbalance in methionine and S-adenosylmethionine synthesis affects protein synthesis or methylation reactions. Changes in DNA methylation affect gene expression, and MTHFR deficiency can promote the development of oncogenic processes [39, 40]. The redistribution of folate metabolites can affect the synthesis of purines and pyrimidines, which in turn affects DNA synthesis or repair. Supplementation or dietary intake of appropriate vitamins can alleviate potential MTHFR deficiencies. There is still a great deal of controversy about the role of MTHFR polymorphisms. However, a link with cardiovascular disease has been established, which may then have an indirect link with risk of breast cancer [41]. The C677T polymorphism of the MTHFR gene has been reported to be associated with an increased level of homocysteine, which may independently contribute to the development of stroke and coronary disease. The impact of the C677T polymorphism on the risk of developing of cardiovascular diseases, such as stroke (hemorrhagic or ischemic), venous thrombosis, and coronary heart disease has been reported in the Caucasian and Asian populations [41–44]. These observations confirm the fact that the impact of a SNP depends on the ethnic and geographical origin of the population studied.

This study has some limitations. First, the sample size is relatively small; therefore, the results cannot be generalized to the entire Malian population. Second, hormone receptor tests ((luminal A, luminal B, HER2 overexpression, and triple-negative subtypes) and blood folate levels could not be performed in the majority of patients. Determination of hormonal status enables better patient management while improving the prognosis. In addition, low blood folate levels may cause certain abnormalities such as cardiovascular and cancer diseases.

5. Conclusions

In conclusion, this study did not show any association between the C677T polymorphism of the MTHFR gene and risk of breast cancer. The distribution of the mutant T allele was very rare in both groups of women with and without breast cancer. Further studies with a folic acid assay should be performed to evaluate the association of the C677T MTHFR polymorphism and risk of breast cancer.

Abbreviations

CHU:	University Hospital Center
CI:	Confidence interval
HWE:	Hardy–Weinberg equilibrium
LMICs:	Low- and middle-income countries
MTHFR:	Methylenetetrahydrofolate reductase
OR:	Odds ratio
USTTB:	University of Sciences, Techniques, and Technologies of Bamako.

Data Availability

The datasets generated and/or analyzed in this study are available from the corresponding author upon request and with the permission of FMPOS/USTTB Ethics Committee.

Ethical Approval

This study was approved by the Faculty of Medicine and Odontostomatology (FMOS)/Faculty of Pharmacy (FPH) Ethics Committee (IRB No. 2018/63/CE/FMPOS), University of Sciences, Techniques and Technologies of Bamako (USTTB), Mali.

All participants accepted and signed the written informed consent.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

All authors read and approved the final manuscript. BD, YK, GD, MM, and LH conceptualized and designed the study. MLK, SBS, CBT, BK, BC, DT, and FMS collected clinical and pathological data and collected blood. Genetic data acquisition was done by BD, YK, OK, KC, and FD. Data analysis and interpretation were done by BD, YK, OK, MM, and GD. BD wrote the manuscript with assistance from YK, MM, GD, JLH, and LH. YK, GD, JLH, BJ, JW, KC, SBS, CBT, BK, BC, ASS, DT, FMS, SB, IT, ML, SN, HD, KK, RLM, and LH critically reviewed the manuscript for significant intellectual content.

Acknowledgments

This study was supported by the NCI/NIH (D43CA260658), Institute of Global Health (IGH)/Northwestern University Catalyzer and the HBNU Consortium, Fogarty International Center, and the National Institutes of Health (D43 TW010543). The authors thank all clinicians and participants in the study, Laboratoire de Recherche et de Formation sur la Pathologie Moléculaire (CREFPAM, Center of Research and Training on Molecular Pathology), Faculty of Medicine and Odontostomatology/University of Sciences, Techniques, and Technologies of Bamako, the University Clinical Research Center (UCRC-Mali), Intelligence Center of Excellence Mali (ICER-Mali); Prof. Seydou Doumbia, Prof. Mamadou Diakite, and Dr. Mamadou Coulibaly for logistical support.

References

D. M. Parkin, J. Ferlay, and A. Jemal, Cancer in Sub-Saharan Africa, International Agency for Research on Cancer, Lyon, France, 2018.
F. Bray, J. Ferlay, I. Soerjomataram, R. L. Siegel, L. A. Torre, and A. Jemal, “Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries,” CA: A Cancer Journal for Clinicians, vol. 68, no. 6, pp. 394–424, 2018.
View at: Publisher Site | Google Scholar
H. Sung, J. Ferlay, R. L. Siegel et al., “Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209–249, 2021.
View at: Publisher Site | Google Scholar
S. M. Rosenberg, K. J. Ruddy, R. M. Tamimi et al., “BRCA1 and BRCA2 mutation testing in young women with breast cancer,” JAMA Oncology, vol. 2, no. 6, pp. 730–736, 2016.
View at: Publisher Site | Google Scholar
Y. J. Heng, S. C. Lester, G. M. Tse et al., “The molecular basis of breast cancer pathological phenotypes,” The Journal of Pathology, vol. 241, no. 3, pp. 375–391, 2017.
View at: Publisher Site | Google Scholar
I. Sepahi, U. Faust, M. Sturm et al., “Investigating the effects of additional truncating variants in DNA-repair genes on breast cancer risk in BRCA1-positive women,” BMC Cancer, vol. 19, no. 1, p. 787, 2019.
View at: Publisher Site | Google Scholar
K. S. Crider, T. P. Yang, R. J. Berry, and L. B. Bailey, “Folate and DNA methylation: a review of molecular mechanisms and the evidence for folate’s role,” Advances in Nutrition, vol. 3, no. 1, pp. 21–38, 2012.
View at: Publisher Site | Google Scholar
G. S. Ducker and J. D. Rabinowitz, “One-Carbon metabolism in health and disease,” Cell Metabolism, vol. 25, no. 1, pp. 27–42, 2017.
View at: Publisher Site | Google Scholar
P. Frosst, H. J. Blom, R. Milos et al., “A candidate genetic risk factor for vascular disease: a common mutation in methylenetetrahydrofolate reductase,” Nature Genetics, vol. 10, no. 1, pp. 111–113, 1995.
View at: Publisher Site | Google Scholar
D. Leclerc, S. Sibani, and R. Rozen, Molecular Biology of Methylenetetrahydrofolate Reductase (Mthfr) And Overview of Mutations/Polymorphisms, Landes bioscience, Austin, TX, USA, 2013.
R. E. Stevenson, C. E. Schwartz, Y. Z. Du, and M. J. Adams, “Differences in methylenetetrahydrofolate reductase genotype frequencies, between Whites and Blacks,” The American Journal of Human Genetics, vol. 60, no. 1, pp. 229-230, 1997.
View at: Google Scholar
H. Austin, W. Craig Hooper, A. Dilley et al., “The prevalence of two genetic traits related to venous thrombosis in whites and african-AMERICANS,” Thrombosis Research, vol. 86, no. 5, pp. 409–415, 1997.
View at: Publisher Site | Google Scholar
C. E. Adjalla, E. K. Amouzou, and A. Sanni, “Low frequency of mutated methylenetetrahydrofolate reductase 677C-->T and 1298A-->C genetics single nucleotide polymorphisms (SNPs) in Sub-Saharan populations,” Clinical Chemistry and Laboratory Medicine, vol. 41, pp. 1028–1032, 2003.
View at: Publisher Site | Google Scholar
B. Diakite, A. Tazzite, K. Hamzi, H. Jouhadi, and S. Nadifi, “Methylenetetrahydrofolate Reductase C677T polymorphism and breast cancer risk in Moroccan women,” African Health Sciences, vol. 12, no. 2, pp. 204–209, 2012.
View at: Publisher Site | Google Scholar
I. Petrone, P. S. Bernardo, E. C. dos Santos, E. Abdelhay, E. C. dos Santos, and E. Abdelhay, “MTHFR C677T and A1298C polymorphisms in breast cancer, gliomas and gastric cancer: a review,” Genes, vol. 12, no. 4, p. 587, 2021.
View at: Publisher Site | Google Scholar
I. T. S. d Arruda, D. C. Persuhn, and N. F. P. d Oliveira, “The MTHFR C677T polymorphism and global DNA methylation in oral epithelial cells,” Genetics and Molecular Biology, vol. 36, no. 4, pp. 490–493, 2013.
View at: Publisher Site | Google Scholar
H. Hardi, R. Melki, Z. Boughaleb, T. El Harroudi, S. Aissaoui, and N. Boukhatem, “Significant association between ERCC2 and MTHR polymorphisms and breast cancer susceptibility in Moroccan population: genotype and haplotype analysis in a case-control study,” BMC Cancer, vol. 18, no. 1, p. 292, 2018.
View at: Publisher Site | Google Scholar
H. Liang, Y. Yan, T. Li et al., “Methylenetetrahydrofolate reductase polymorphisms and breast cancer risk in Chinese population: a meta-analysis of 22 case–control studies,” Tumor Biology, vol. 35, no. 2, pp. 1695–1701, 2013.
View at: Publisher Site | Google Scholar
L. He and Y. Shen, “MTHFR C677T polymorphism and breast, ovarian cancer risk: a meta-analysis of 19,260 patients and 26,364 controls,” OncoTargets and Therapy, vol. 10, pp. 227–238, 2017.
View at: Publisher Site | Google Scholar
P. Kumar, U. Yadav, and V. Rai, “Methylenetetrahydrofolate reductase gene C677T polymorphism and breast cancer risk: evidence for genetic susceptibility,” Meta Gene, vol. 6, pp. 72–84, 2015.
View at: Publisher Site | Google Scholar
A. Hedayatizadeh-Omran, R. Alizadeh-Navaei, F. Toghani-Hulari, and O. Amjadi, “Association between MTHFR (C677T) gene polymorphism with breast cancer in Northern Iran,” Word Cancer Research Journal, vol. 4, Article ID e876, 2017.
View at: Publisher Site | Google Scholar
R. Chillemi, A. Angius, I. Persico, A. Sassu, D. A. Prodi, and S. Musumeci, “Methylenetetrahydrofolate reductase (MTHFR) from mediterranean to sub-saharan areas,” Online Journal of Biological Sciences, vol. 6, no. 1, pp. 28–34, 2006.
View at: Publisher Site | Google Scholar
M. Shi, D. Caprau, P. Romitti, K. Christensen, and J. C. Murray, “Genotype frequencies and linkage disequilibrium in the CEPH human diversity panel for variants in folate pathway genes MTHFR, MTHFD, MTRR, RFC1, and GCP2,” Birth Defects Research Part A: Clinical and Molecular Teratology, vol. 67, no. 8, pp. 545–549, 2003.
View at: Publisher Site | Google Scholar
J. A. Schneider, D. C. Rees, Y. T. Liu, and J. B. Clegg, “Worldwide distribution of a common methylenetetrahydrofolate reductase mutation,” The American Journal of Human Genetics, vol. 62, no. 5, pp. 1258–1260, 1998.
View at: Publisher Site | Google Scholar
R.-M. Guéant-Rodriguez, J.-L. Guéant, R. Debard et al., “Prevalence of methylenetetrahydrofolate reductase 677T and 1298C alleles and folate status: a comparative study in Mexican, West African, and European populations,” The American Journal of Clinical Nutrition, vol. 83, no. 3, pp. 701–707, 2006.
View at: Publisher Site | Google Scholar
N. Rosenberg, M. Murata, Y. Ikeda et al., “The frequent 5,10-methylenetetrahydrofolate reductase C677T polymorphism is associated with a common haplotype in whites, Japanese, and africans,” The American Journal of Human Genetics, vol. 70, no. 3, pp. 758–762, 2002.
View at: Publisher Site | Google Scholar
S. Pooja, J. Carlus, and D. Sekhar, “MTHFR 677C>T polymorphism and the risk of breast cancer: evidence from an original study and pooled data for 28031 cases and 31880 controls,” PLoS One, vol. 10, Article ID e0120654, 2015.
View at: Publisher Site | Google Scholar
E. F. Kaya, N. Karakus, A. N. Ulusoy, C. Ozaslan, and N. Kara, “Association of the MTHFRGene C677T Polymorphism with Breast Cancer in a Turkish Population,” Oncology Research and Treatment, vol. 39, no. 9, pp. 534–538, 2016.
View at: Publisher Site | Google Scholar
L. M. Rezende, F. A. L. Marson, C. S. P. Lima, and C. S. Bertuzzo, “Can MTHFR C677T and A1298C polymorphisms alter the risk and severity of sporadic breast cancer in Brazilian women?” Clinical Breast Cancer, vol. 17, no. 4, pp. e199–e208, 2017.
View at: Publisher Site | Google Scholar
S. S. Maruti, C. M. Ulrich, E. R. Jupe, and E. White, “MTHFR C677T and postmenopausal breast cancer risk by intakes of one-carbon metabolism nutrients: a nested case-control study,” Breast Cancer Research, vol. 11, no. 6, p. R91, 2009.
View at: Publisher Site | Google Scholar
P. Castiglia, V. Sanna, A. Azara et al., “Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms in breast cancer: a Sardinian preliminary case-control study,” International Journal of Medical Sciences, vol. 16, no. 8, pp. 1089–1095, 2019.
View at: Publisher Site | Google Scholar
X. F. Zhang, T. Liu, Y. Li, and S. Li, “Association between MTHFR 677C/T and 1298A/C gene polymorphisms and breast cancer risk,” Genetics and Molecular Research, vol. 14, no. 4, pp. 16425–16430, 2015.
View at: Google Scholar
A. L. Calderón-Garcidueñas, R. M. Cerda-Flores, A. L. Castruita-Ávila, J. F. Gonzalez-Guerrero, and H. A. Barrera-Saldana, “C677T-SNP of methylenetetrahydrofolate reductase gene and breast cancer in Mexican women,” Revista Medica del Instituto Mexicano del Seguro Social, vol. 55, no. 6, pp. 720–724, 2017.
View at: Google Scholar
B. Sharma, H. Lal, V. Sambyal et al., “Association of MTHFR 677C>T polymorphism with breast cancer risk: a case–control study and meta-analysis,” Journal of Cancer Research and Therapeutics, vol. 18, no. 6, p. 1451, 2022.
View at: Publisher Site | Google Scholar
P. Meneses-Sanchez, S. C. Garcia-Hernandez, L. M. Porchia et al., “C677T and A1298C methylenetetrahydrofolate reductase polymorphisms and breast cancer susceptibility among Latinos: a meta-analysis,” Breast Cancer, vol. 26, no. 5, pp. 602–611, 2019.
View at: Publisher Site | Google Scholar
S. Moll and E. A. Varga, “Homocysteine and MTHFR mutations,” Circulation, vol. 132, no. 1, pp. e6–e9, 2015.
View at: Publisher Site | Google Scholar
B. L. Zaric, M. Obradovic, V. Bajic, M. A. Haidara, M. Jovanovic, and E. R. Isenovic, “Homocysteine and hyperhomocysteinaemia,” Current Medicinal Chemistry, vol. 26, no. 16, pp. 2948–2961, 2019.
View at: Publisher Site | Google Scholar
D. S. Froese, J. Kopec, E. Rembeza et al., “Structural basis for the regulation of human 5,10-methylenetetrahydrofolate reductase by phosphorylation and S-adenosylmethionine inhibition,” Nature Communications, vol. 9, no. 1, p. 2261, 2018.
View at: Publisher Site | Google Scholar
S. Deltour, V. Chopin, and D. Leprince, “Modifications épigénétiques et cancer,” Medical Science, vol. 21, no. 4, pp. 405–411, 2005.
View at: Publisher Site | Google Scholar
D. Leclerc and R. Rozen, “Molecular genetics of MTHFR: polymorphisms are not all benign,” Medical Science, vol. 23, no. 3, pp. 297–302, 2007.
View at: Publisher Site | Google Scholar
S.-C. Liew and E. D. Gupta, “Methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism: epidemiology, metabolism and the associated diseases,” European Journal of Medical Genetics, vol. 58, pp. 1–10, 2015.
View at: Publisher Site | Google Scholar
P. Zhang, X. Gao, Y. Zhang et al., “Association between MTHFR C677T polymorphism and venous thromboembolism risk in the Chinese population: a meta-analysis of 24 case-controlled studies,” Angiology, vol. 66, no. 5, pp. 422–432, 2015.
View at: Publisher Site | Google Scholar
X. Hou, X. Chen, and J. Shi, “Genetic polymorphism of MTHFR C677T and premature coronary artery disease susceptibility: a meta-analysis,” Gene, vol. 565, no. 1, pp. 39–44, 2015.
View at: Publisher Site | Google Scholar
P. A. Abhinand, M. Manikandan, R. Mahalakshmi, and P. K. Ragunath, “Meta-analysis study to evaluate the association of MTHFR C677T polymorphism with risk of ischemic stroke,” Bioinformation, vol. 13, pp. 214–219, 2017.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2023 Brehima Diakite et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

499

Downloads

403

Citations