Literature DB >> 35548064

Susceptibility of Genetic Variations in Methylation Pathway to Gastric Cancer.

Mengqiu Xiong1, Bei Pan2, Xuhong Wang2, Junjie Nie1, Yuqin Pan1, Huiling Sun1, Tao Xu1, William C S Cho3, Shukui Wang1,4,5, Bangshun He1,4,5.   

Abstract

Background: DNA methylation in the CpG island is associated with gastric cancer, genetic variations residue in genes involved in methylation pathway could contribute to the occurrence of gastric cancer. Here, we investigated the association between DNMTs (DNMT1/DNMT3A/DNMT3B), MTHFR genetic variations and gastric cancer risk and patients' survival. Patients and
Methods: We recruited 490 gastric cancer patients and 488 age- and sex-matched healthy controls. The genotypes of the genetic variations were detected by a Mass-array platform. A commercial Helicobacter pylori (H. pylori) immunogold testing kit was used to determine the H. pylori infection.
Results: We found that carriers of DNMT1 rs2228612C allele was associated with decreased gastric cancer risk (CT vs. TT: adjusted OR = 0.70, 95% CI = 0.53-0.94, P = 0.02; CT/CC vs.TT: adjusted OR = 0.73, 95% CI = 0.56-0.96, P = 0.02). Further stratified analysis showed that DNMT1 rs2228612 CT/CC were associated with a decreased gastric cancer risk in the subgroups of age ≤64 years old (adjusted OR = 0.61, 95% CI = 0.41-0.90, P = 0.01), male (adjusted OR = 0.72, 95% CI = 0.53-0.98, P = 0.03), negative H. pylori infection (adjusted OR = 0.67, 95% CI = 0.45-0.98, P = 0.04), tumor stage T3-T4 (adjusted OR = 0.69, 95% CI = 0.51-0.92, P = 0.01), and non-gastric cardiac adenocarcinoma (NGCA) (adjusted OR = 0.72, 95% CI = 0.54-0.97, P = 0.03). However, none of the genetic variations of this study was associated with overall survival.
Conclusion: We concluded that the DNMT1 rs2228612C genotype is a protective factor for gastric cancer in Han Chinese population.
© 2022 Xiong et al.

Entities:  

Keywords:  DNMTs; MTHFR; gastric cancer; genetic variation

Year:  2022        PMID: 35548064      PMCID: PMC9081620          DOI: 10.2147/PGPM.S340941

Source DB:  PubMed          Journal:  Pharmgenomics Pers Med        ISSN: 1178-7066


Introduction

Gastric cancer is one of the most prevalent cancers in the world, ranking fifth among the most common cancers and third among cancer-related deaths, Helicobacter pylori (H. pylori) infection, age, living habits and diets (such as high salt intake, low fruit and vegetables), are proved as risk factors for gastric cancer.1 Specifically, H. pylori colonization in the stomach could result in chronic gastritis and may result in gastric cancer eventually. Therefore, clearance of H. pylori could reduce the risk of gastric cancer.2 In recent years, despite the decrease in global gastric cancer incidence, the incidence in East Asia is still high, especially in China.3 Therefore, to ascertain the risk of gastric cancer is of great significance. Dysregulated gene expression in cancer caused by DNA methylation has been reported widely. Three main types of DNA methyltransferase (DNMTs: DNMT1, DNMT2 and DNMT3) are related with genomic methylation. For example, by activating the NF-κB pathway and regulating DNMT3b, H. pylori silenced NDRG2 (N-myc downstream-regulated gene 2) then promoting gastric cancer progression.4 Similarly, NDRG1 was down-regulated in gastric cancer by promoter DNA methylation.5 Methylation at CpG islands is a critical mechanism of gene silencing in gastric cancer.6 Besides, DNMT1 was reported to maintain these methylation patterns in the period of DNA replication. Act as de novo methyltransferases, DNMT3A and DNMT3B were reported to establish methylation patterns during embryogenesis.7 Several studies also indicated that upregulation of DNMTs can promote tumor progression, invasion and metastasis through down regulation of genes that play a role in proliferation inhibition and apoptosis-related pathway.8 Additionally, genetic variations in DNA methyltransferases, DNMT1, DNMT3A, DNMT3B were suggested to be associated with oral squamous cell carcinomas.9 In DNA methylation pathway, folate metabolism involves in DNA methylation, repair and synthesis, and methylenetetrahydrofolate reductase (MTHFR) is a key enzyme involved in the folate pathway.10 Increasing studies discovered that genetic variations in MTHFR may affect the enzymatic activity of the encoding protein and contribute to the development of cancers. MTHFR C677T (rs1801133) variations was also investigated for gastric cancer risk, but the results were inconsistent.11 Interestingly, studies have shown that MTHFR C677T polymorphism is associated with increased risk of gastric cancer and decreased risk of cardia gastric cancer in Chinese population.12 Based on the genetic variations in DNA methylation pathway involved in occurence of gastric cancer, here we conducted a case–control study on genotyped SNPs in a Chinese population to assess the association between variants in 4 genes (DNMT1, DNMT3A, DNMT3B and MTHFR) and susceptibility to gastric cancer. Nine genetic variations (DNMT1: rs16999593, rs10420321, rs2228612, rs7560488; DNMT3A: rs13420827, rs1550117; DNMT3B: rs1569686), in DNMTs and MTHFR (rs1476413, rs1801131) were selected to evaluate their susceptibility to the risk of gastric cancer, as well as their survival predictor role in gastric cancer patients.

Materials and Methods

Study Subjects

A total of 490 gastric cancer patients and 488 age- and sex-matched healthy controls were recruited in this study.13 All patients were histologically diagnosed with gastric cancer, the controls were individuals who came to the hospital for routine physical examination. The patients and healthy controls information were collected from the hospital records and questionnaire respectively. The clinical stages of gastric cancer were classified according to the 6th edition of the American Joint Commission for Cancer Staging Manual. The survival status of gastric cancer patients were obtained by on-site interviews, direct calling, or reviews of medical charts. The Institutional Review Board of the Nanjing First Hospital approved the study protocol, and written informed consent was obtained from all of the participants.

DNA Extraction and Genotyping

According to the manufacture’s protocol, the patient’s blood samples were collected to extract DNA by using GoldMag-Mini Whole Blood Genomic DNA Purification Kit (GoldMag Co. Ltd. Xi’an, China). The purity of the collected DNA was determined by spectroscopy (DU530UV/VIS spectrophotometer, Beckman Instruments, Fullerton, CA, USA). The Sequenom Mass-array platform was used to genotype all samples. SequenomTyper 4.0 Software was used for the data analysis. We selected the DNMT1/DNMT3A/DNMT3B and MTHFR genetic variations to evaluate their associations with gastric cancer. For selecting the genetic variations, we retrieved the information from the National Center for Biotechnology Information dbSNP database (). Then, the following criteria were built for selecting the genetic variations: (1) the minor allele frequency (MAF) was ≥ 5% in the Han Chinese population; (2) the variation was located in an exon, promoter region (less than 2 kb apart from the transcription start), 5ʹuntranslated region (UTR), or 3ʹUTR; (3) the genetic variation has been reported that correlated with cancer risk. Finally, nine DNMT1/DNMT3A/DNMT3B genetic variations and two MTHFR genetic variations were selected to study further ().

H. pylori Assay on Serum

Commercial H. pylori immuno-gold testing kit (Kangmei Tianhong Biotech Co., Ltd, Beijing, China) was used to detect H. pylori antibodies in the sera of the participants. The sensitivity and specificity of the kit were 98.3% and 98.5% respectively.

Statistical Analysis

The difference of population characteristics between the case and control group was calculated by Chi square test (χ2) or t test, and the Hardy-Weinberg equilibrium (HWE) balance of the control group was calculated by Chi-square test of goodness of fit. In order to test the relationship between genetic variations and cancer, logistic regression of SAS software (Version 9.1; SAS Institute, Cary, NC, USA) was used to calculate odds ratios (ORs) and 95% confidence interval (CIs). Clinical and pathological characteristics subgroup analysis of cancer were used to prove whether genetic variations were still associated with cancer risk in subgroup. For patients with wild-type gene compared with other genes, the survival of cancer patients were used to calculate the hazard ratios (HR) and 95% confidence interval. The calculation method was the Cox regression model of SPSS (SPSS, Chicago, IL, USA) by using the log-rank test. A two-sided P value < 0.05 was considered statistically significant.

Results

Characteristics of the Study Population

The results of HWE analysis showed that the genotype results of nine genetic variations conformed to follow HWE (P > 0.05) (). The demographic and exposure data of all the participants are summarized in . There were no differences between the two groups for age (P = 0.748), gender (P = 0.916) and H. pylori infection (P = 0.055). The frequencies of cigarette smoking and alcohol consumption in the patients were higher than those in the controls. The distributions of the genetic variations in patients and the controls were showed in Table 1.
Table 1

Associations Between DNMT1/DNMT3A/DNMT3B and MTHFR genetic variations and Gastric Cancer Risk

GenotypeCases, n(%)Controls, n(%)OR (95% CI)AOR (95% CI)ap-value
DNMT1 rs16999593
TT324(66.12)318(65.16)ReferenceReference
CT148(30.20)148(30.33)0.98(0.75–1.29)0.93(0.70–1.23)0.61
CC18 (3.67)22(4.51)0.80(0.42–1.53)0.84(0.44–1.60)0.59
CT/CC166(33.87)170(34.84)0.96(0.74–1.25)0.92(0.70–1.20)0.53
DNMT1 rs10420321
AA167(34.08)161(32.99)ReferenceReference
AG223(45.51)221(45.29)0.97(0.73–1.29)0.94(0.70–1.26)0.69
GG100(20.41)106(21.72)0.91(0.64–1.29)0.89(0.62–1.27)0.52
AG/GG323(65.92)327(67.01)0.95(0.73–1.24)0.93(0.71–1.21)0.58
DNMT1 rs2228612
TT199(40.7)165(33.81)ReferenceReference
CT196(40.08)225(46.11)0.72(0.55–0.96)0.70(0.53–0.94)0.02
CC94(19.22)98(20.08)0.80(0.56–1.13)0.80(0.56–1.14)0.21
CT/CC290(59.30)323(66.19)0.74(0.57–0.97)0.73(0.56–0.96)0.02
DNMT1 rs7560488
TT328(66.94)319(65.37)ReferenceReference
TC148(30.20)152(31.15)0.95(0.72–1.25)0.98(0.74–1.29)0.86
CC14(2.86)17(3.48)0.80(0.39–1.65)0.78 (0.37–1.62)0.50
TC/CC162(33.06)169(34.63)0.93(0.72–1.22)0.95(0.73–1.25)0.72
DNMT3A rs13420827
CC323(65.92)307(62.91)ReferenceReference
GC150(30.61)163(33.40)0.88(0.67–1.15)0.87(0.66–1.15)0.34
GG17(3.47)18(3.69)0.90(0.45–1.77)0.88(0.44–1.75)0.71
GC/GG167(34.08)181(37.09)0.88(0.68–1.14)0.87(0.67–1.13)0.30
DNMT3A rs1550117
GG321(65.51)305(62.50)ReferenceReference
AG152(31.02)164(33.61)0.88(0.67–1.15)0.87(0.66–1.15)0.33
AA17(3.47)19(3.89)0.85(0.43–1.67)0.85(0.43–1.67)0.63
AG/AA169(34.49)183(37.5)0.88(0.68–1.14)0.87(0.67–1.13)0.29
DNMT3B rs1569686
TT423(86.33)416(85.25)ReferenceReference
GT61(12.45)70(14.34)0.86(0.59–1.24)0.85(0.58–1.24)0.40
GG6(1.22)2(0.41)2.95(0.59–14.70)3.33(0.66–16.73)0.14
GT/GG67(13.67)72(14.75)0.92(0.64–1.31)0.92(0.64–1.32)0.64
MTHFR rs1476413
CC324(66.12)329(67.42)ReferenceReference
CT152(31.02)146(29.92)1.06(0.80–1.39)1.03(0.78–1.37)0.81
TT14(2.86)13(2.66)1.09(0.51–2.36)1.17(0.53–2.56)0.70
CT/TT166(33.88)159(32.58)1.06(0.81–1.38)1.05(0.80–1.37)0.74
MTHFR rs1801131
TT327(66.73)333(68.24)ReferenceReference
GT149(30.41)142(29.10)1.07(0.81–1.41)1.05(0.79–1.39)0.75
GG14(2.86)13(2.66)1.10(0.51–2.37)1.17(0.54–2.57)0.69
GT/GG163(33.27)155(31.76)1.07(0.82–1.40)1.06(0.81–1.39)0.68

Note: aAdjusted by age, smoking, drinking, and H. pylori infection status.

Abbreviation: AOR, adjusted OR.

Associations Between DNMT1/DNMT3A/DNMT3B and MTHFR genetic variations and Gastric Cancer Risk Note: aAdjusted by age, smoking, drinking, and H. pylori infection status. Abbreviation: AOR, adjusted OR.

Associations Between Genetic Variations and Gastric Cancer Risk

There was a significant difference in the distribution of the DNMT1 rs2228612 genotype between the case group and the control group. The result showed that the DNMT1 rs2228612CT (CT vs.TT: adjusted OR = 0.70, 95% CI = 0.53–0.94, P = 0.02) and CT/CC genotypes (CT/CC vs. TT: adjusted OR = 0.73, 95% CI = 0.56–0.96, P = 0.02) were associated with decreased gastric cancer risk, respectively. No significant association was observed between the other genetic variations and gastric cancer risk (Table 1). To further assess the association between DNMT1 rs2228612 and the risk of gastric cancer, we performed a stratified-analysis by age, gender, H. pylori infection status, tumor stage, and tumor site using a co-dominant model (CT/CC vs. TT). The decreased risk of DNMT1 rs2228612C allele carriers (CT/CC) for gastric cancer remained significant in the following subgroups: age≤64 years old (adjusted OR = 0.61, 95% CI = 0.41–0.90, P = 0.01), male (adjusted OR = 0.72, 95% CI = 0.53–0.98, P = 0.03), negative for H. pylori infection (adjusted OR = 0.67, 95% CI = 0.45–0.98, P = 0.04), tumor stage T3-T4 (adjusted OR = 0.69, 95% CI = 0.51–0.92, P = 0.01), non-gastric cardiac adenocarcinoma (NGCA; adjusted OR = 0.72, 95% CI = 0.54–0.97, P = 0.03, Table 2).
Table 2

Subgroup Analysis of rs2228612 to Gastric Cancer Risk

Variablesrs2228612 (Cases/Controls)AOR (95% CI)ap-value
TTCT/CC
Age
≤6499/73131/1540.61(0.41–0.90)0.01
>64100/92159/1690.87(0.61–1.25)0.46
Gender
Male148/121210/2370.72(0.53–0.98)0.03
Female51/4480/860.79(0.47–1.32)0.37
H. pylori infection
Positive111/86157/1520.81(0.56–1.17)0.26
Negative88/79133/1710.67(0.45–0.98)0.04
Differentiation
Low109/165161/3230.73(0.54–1.00)0.05
Median to high84/165124/3230.74(0.53–1.05)0.09
Clinical stage
I–II61/16596/3230.84(0.57–1.24)0.38
III–IV138/165194/3230.69(0.51–0.92)0.01
Tumor site
Cardia56/16584/3230.75(0.50–1.10)0.14
Non-cardia143/165206/3230.72(0.54–0.97)0.03

Note: aAdjusted by age, smoking, drinking, and H. pylori infection status.

Abbreviation: AOR, adjusted OR.

Subgroup Analysis of rs2228612 to Gastric Cancer Risk Note: aAdjusted by age, smoking, drinking, and H. pylori infection status. Abbreviation: AOR, adjusted OR.

Association Between Genetic Variations and Clinical Outcomes

In order to assess the relationship between patient survival and genetic variations, a total of 477 patients were followed up to five years for the overall survival (OS), and a Cox regression analysis is used to calculate HRs for patients to evaluate the predictive value of the genetic variations to patients’ survival. The comparison of wild type with those who with any mutantant allele revealed that no association between the genetic variations and OS (Table 3), indicating that these genetic variations have no predictive value for gastric cancer patients' survival.
Table 3

Analysis of Associations Between Genetic Variations and Clinical Outcomes

GenotypeCases, nDeath, n (%)Log-Rank p-valueHR
rs16999593
TT313207 (66.1)Reference
CT/CC164108 (65.9)0.9230.989 (0.783–1.248)
rs10420321
AA160104 (65)Reference
AG/GG317211 (66.6)0.9501.007 (0.797–1.274)
rs2228612
TT191121 (63.4)Reference
CT/CC285194 (68.1)0.5871.065 (0.849–1.336)
rs7560488
TT321210 (65.4)Reference
CT/CC156105 (67.3)0.5141.081 (0.855–1.367)
rs13420827
CC314206 (65.6)Reference
GC/GG163109 (66.9)0.6541.054 (0.836–1.330)
rs1550117
GG313200 (63.9)Reference
AG/AA164115 (70.1)0.3921.105 (0.879–1.391)
rs1569686
TT411271 (65.9)Reference
GT/GG6644 (66.7)0.9471.011 (0.735–1.390)
rs1476413
CC318216 (67.9)Reference
CT/TT15999 (62.3)0.1050.821 (0.647–1.042)
rs1801131
TT321219 (68.2)Reference
GT/GG15696 (61.6)0.0640.797 (0.627–1.013)
Analysis of Associations Between Genetic Variations and Clinical Outcomes

Discussion

In this population-based study, 490 gastric cancer patients and 488 age- and gender-matched healthy controls in a Chinese population were recruited. The result showed that the DNMT1 rs2228612C allele was related with decreased risk of gastric cancer and that such an association was maintained in the subgroups of age≤64 years old, male, negative for H. pylori infection, tumor stage T3-T4, non-gastric cardiac adenocarcinoma (NGCA). Whereas, all the enrolled nine genetic variations were not associated with gastric cancer patients' survival. Previously, DNMT1 genetic variations has been reported to be associated with various diseases, such as autosomal dominant cerebellar ataxia-deafness and narcolepsy, hereditary sensory neuropathy with dementia and hearing loss.14 In addition, many studies have shown that DNMT1 is involved in the occurrence and development of tumors. Mechanically, knockdown of DNMT1 dysregulates tumor-suppressor P21 and the apoptosis inducer BIK (Bcl-2 interacting killer),15 and inhibits crosstalk of DNMT1 and oestrogen receptor-related receptor alpha (ERRα), resulting in breast cancer progression by regulating the expression of IRF4 (Interferon Regulatory Factor-4).16 Moreover, as a mediator, DNMT1 could promote carcinogenesis and progression of gastric cancer via various regulate networks.17–21 Meanwhile, the expression of DNMT1 could served as a survival biomarker for gastric cancer patients for that down regulation of DNMT1 could increase cisplatin sensitivity and high expression of DNMT1 predicted poor gastric cancer patients’ survival.22 Here, we observed that a genetic variation in DNMT1 (rs2228612) was susceptible to risk of gastric cancer. Actually, in recent years, several studies have shown that DNMT1 rs2228612G/A genotype was associated with decreased risk of breast cancer,23 which was consistent with our result. Whereas, an increased risk of DNMT1 rs2228612 GG genotype for breast cancer risk was also reported in a Chinese Guangdong population. For gastric cancer, three studies invested the DNMT1 rs2228612 in a Chinese population that, one reported no significant association, but they reported DNMT1 rs2228612 GG genotype acted as a protective factor for esophageal cancer, which was consistent with our results.24 Unfortunately, one study omitted the data due to fail to follow HWE,25 and another study reported it was not associated with gastric cancer patients’ survival,26 yet which was consistent with our result. Moreover, in this study, they reported the MAF (C/G allele) in DNMT1 rs2228612 was 0.431 in controls, which was consistent with the result (MAF=0.388) in Asian population of dbSNP database, and the study reported in a China population (MAF=0.450).27 The genotyping of this study was based on the Mass-array platform, which was reliable for genetic variation detection. Actually, due to limited published data regarding DNMT1 rs2228612 and gastric cancer, our result should be confirmed by further study with larger sample size . DNMT1 rs2228611 is a synonymous genetic variation locates in exon 17, while DNMT1 rs2228612 locates in exon 12, whereas, these two genetic variations were not in linkage disequilibrium each other, according to previous report in a Chinese population.28 Studies have shown that substitution of phenylalanine by isoleucine at 327 amino acid in DNMT1 caused by DNMT1 rs2228612 (A/G) may affect the function of DNMT1 and involve in the carcinogenesis by regulating gene expression through effecting the CpG island hypermethylation statue. Additionally, we also found the significant association between DNMT1 rs2228612 and decreased risk of gastric cancer was maintained in the subgroup of those who with age ≤ 64 years old, male, tumor stage T3-T4, non-gastric cardiac adenocarcinoma or negative for H. pylori infection, which may be attribute to the fact that younger patients are less likely to be exposed to risk factors, that male are more likely to smoke and drink than female, and that the incidence of gastric cancer with negative H. pylori infection is lower, respectively. Although DNMT1 rs2228612 was reported as an independent predictor of poor OS in melanoma patients;29 however, we found none of the genetic variations are associated with the prognosis of gastric cancer, which was partly consistent to the previous study reported.26 Admittedly, there is limitation in this study. The included subjects are from a single-centre, which may affect the study representation.

Conclusion

We concluded that DNMT1 rs2228612C allele may play a protective role in gastric cancer in Han Chinese population. On the other hand, nine genetic variations (DNMT1: rs16999593, rs10420321, rs2228612, rs7560488; DNMT3A: rs13420827, rs1550117; DNMT3B: rs1569686) in DNMTs and MTHFR (rs1476413, rs1801131) was not found to associate with the survival of gastric cancer patients.
  28 in total

1.  miR-200b and miR-200c as prognostic factors and mediators of gastric cancer cell progression.

Authors:  Hailin Tang; Min Deng; Yunyun Tang; Xinhua Xie; Jiaoli Guo; Yanan Kong; Feng Ye; Qi Su; Xiaoming Xie
Journal:  Clin Cancer Res       Date:  2013-08-30       Impact factor: 12.531

2.  Tumor-Associated Macrophages Promote Epigenetic Silencing of Gelsolin through DNA Methyltransferase 1 in Gastric Cancer Cells.

Authors:  Hao-Chen Wang; Chin-Wang Chen; Chia-Lung Yang; I-Min Tsai; Ya-Chin Hou; Chang-Jung Chen; Yan-Shen Shan
Journal:  Cancer Immunol Res       Date:  2017-08-23       Impact factor: 11.151

3.  DNA methyltransferases Dnmt3a and Dnmt3b are essential for de novo methylation and mammalian development.

Authors:  M Okano; D W Bell; D A Haber; E Li
Journal:  Cell       Date:  1999-10-29       Impact factor: 41.582

4.  DNA methyltransferase 1 as a predictive biomarker and potential therapeutic target for chemotherapy in gastric cancer.

Authors:  Kathrin Mutze; Rupert Langer; Felix Schumacher; Karen Becker; Katja Ott; Alexander Novotny; Alexander Hapfelmeier; Heinz Höfler; Gisela Keller
Journal:  Eur J Cancer       Date:  2011-03-31       Impact factor: 9.162

5.  IL-4/IL-4R and IL-6/IL-6R genetic variations and gastric cancer risk in the Chinese population.

Authors:  Bangshun He; Bei Pan; Yuqin Pan; Huiling Sun; Tao Xu; Jian Qin; Xueni Xu; Shukui Wang
Journal:  Am J Transl Res       Date:  2019-06-15       Impact factor: 4.060

6.  Single nucleotide polymorphisms of one-carbon metabolism and cancers of the esophagus, stomach, and liver in a Chinese population.

Authors:  Shen-Chih Chang; Po-Yin Chang; Brendan Butler; Binh Y Goldstein; Lina Mu; Lin Cai; Nai-Chieh Y You; Aileen Baecker; Shun-Zhang Yu; David Heber; Qing-Yi Lu; Liming Li; Sander Greenland; Zuo-Feng Zhang
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

7.  Polymorphisms of the DNA Methyltransferase 1 Gene Predict Survival of Gastric Cancer Patients Receiving Tumorectomy.

Authors:  Zhifang Jia; Xing Wu; Donghui Cao; Chuan Wang; Lili You; Meishan Jin; Simin Wen; Xueyuan Cao; Jing Jiang
Journal:  Dis Markers       Date:  2016-03-21       Impact factor: 3.434

8.  DNMT family induces down-regulation of NDRG1 via DNA methylation and clinicopathological significance in gastric cancer.

Authors:  Xiaojing Chang; Jinguo Ma; Xiaoying Xue; Guohui Wang; Tianfang Yan; Linlin Su; Xuetao Han; Huandi Zhou; Liubing Hou
Journal:  PeerJ       Date:  2021-09-16       Impact factor: 2.984

9.  DNMT1 genetic polymorphisms affect breast cancer risk in the central European Caucasian population.

Authors:  Kathrin Kullmann; Mustafa Deryal; Mei Fang Ong; Werner Schmidt; Ulrich Mahlknecht
Journal:  Clin Epigenetics       Date:  2013-05-02       Impact factor: 6.551

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