Literature DB >> 15312365

[Association between genetic polymorphisms in methylenetetrahydrofolate reductase and risk of breast cancer].

Jun Qi1, Xiao-ping Miao, Wen Tan, Chun-yuan Yu, Gang Liang, Wen-fu Lü, Dong-xin Lin.   

Abstract

OBJECTIVE: To investigate the association between genetic polymorphisms in methylenetetrahydrofolate reductase (MTHFR) and risk of breast cancer among women.
METHODS: Two hundred seventeen cases with breast cancer and 218 matched controls were genotyped for the MTHFR C677T and A1298C polymorphisms by PCR-RFLP methods. The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression model.
RESULTS: We found that the frequency of the MTHFR C677TT genotype among cases was significantly different from that among controls (32.7% vs. 24.8%; P = 0.02). The MTHFR C677TT genotype had an increased risk of breast cancer compared with the 677CC genotype (95% CI, 1.09 - 3.14). No significant association between the MTHFR C677T or A1298C polymorphism and risk of the cancer was observed.
CONCLUSION: These findings suggest that 677CT polymorphism in MTHFR may be a genetic susceptibility factor for breast cancer among Chinese women.

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Year:  2004        PMID: 15312365

Source DB:  PubMed          Journal:  Zhonghua Zhong Liu Za Zhi        ISSN: 0253-3766


  13 in total

Review 1.  Lack of association between MHTFR Glu429Ala polymorphism and breast cancer susceptibility: a systematic review and meta-analysis of 29 research studies.

Authors:  Zhanjiang Jiao; Dan Li
Journal:  Tumour Biol       Date:  2013-02-08

2.  Lack of association between methylenetetrahydrofolate reductase gene A1298C polymorphism and breast cancer susceptibility.

Authors:  Li-Xin Qiu; Jian Zhang; Wen-Hua Li; Qun-Ling Zhang; Hui Yu; Bi-Yun Wang; Lei-Ping Wang; Jia-Lei Wang; Hui-Jie Wang; Xiao-Jian Liu; Zhi-Guo Luo; Xiang-Hua Wu
Journal:  Mol Biol Rep       Date:  2010-11-05       Impact factor: 2.316

3.  MTHFR gene A1298C polymorphisms are associated with breast cancer risk among Chinese population: evidence based on an updated cumulative meta-analysis.

Authors:  Yadong Wang; Haiyan Yang; Guangcai Duan
Journal:  Int J Clin Exp Med       Date:  2015-11-15

4.  A meta-analysis of genotypes and haplotypes of methylenetetrahydrofolate reductase gene polymorphisms in breast cancer.

Authors:  Shanliang Zhong; Zhiyuan Chen; Xinnian Yu; Wenjing Li; Jinhai Tang; Jianhua Zhao
Journal:  Mol Biol Rep       Date:  2014-06-29       Impact factor: 2.316

5.  The association between methylenetetrahydrofolate reductase gene C677T polymorphisms and breast cancer risk in Chinese population.

Authors:  Yadong Wang; Haiyan Yang; Huiyan Gao; Haiyu Wang
Journal:  Tumour Biol       Date:  2015-11-04

6.  Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms and the risk of primary hepatocellular carcinoma (HCC) in a Chinese population.

Authors:  Li-Na Mu; Wei Cao; Zuo-Feng Zhang; Lin Cai; Qing-Wu Jiang; Nai-Chieh You; Binh Yang Goldstein; Guo-Rong Wei; Chuan-Wei Chen; Qing-Yi Lu; Xue-Fu Zhou; Bao-Guo Ding; Jun Chang; Shun-Zhang Yu
Journal:  Cancer Causes Control       Date:  2007-05-15       Impact factor: 2.506

Review 7.  Association of MTHFR Ala222Val (rs1801133) polymorphism and breast cancer susceptibility: An update meta-analysis based on 51 research studies.

Authors:  Liwa Yu; Jianqiu Chen
Journal:  Diagn Pathol       Date:  2012-12-07       Impact factor: 2.644

Review 8.  Methylenetetrahydrofolate reductase gene C677T polymorphism and breast cancer risk: Evidence for genetic susceptibility.

Authors:  Pradeep Kumar; Upendra Yadav; Vandana Rai
Journal:  Meta Gene       Date:  2015-10-01

9.  Association of 677 C>T (rs1801133) and 1298 A>C (rs1801131) polymorphisms in the MTHFR gene and breast cancer susceptibility: a meta-analysis based on 57 individual studies.

Authors:  Kai Li; Wusheng Li; Xi Dong
Journal:  PLoS One       Date:  2014-06-19       Impact factor: 3.240

10.  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

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