Literature DB >> 19415745

Genetic polymorphisms of estrogen metabolizing enzyme and breast cancer risk in Thai women.

Suleeporn Sangrajrang1, Yasunori Sato, Hiromi Sakamoto, Sumiko Ohnami, Nan M Laird, Thiravud Khuhaprema, Paul Brennan, Paolo Boffetta, Teruhiko Yoshida.   

Abstract

Estrogen and its metabolites are believed to play important roles in breast cancer, and its determinants include both genetic and lifestyle factors. The objective of the study is to investigate the association of breast cancer risk in Thailand with genetic polymorphisms in several genes involved in estrogen synthesis and metabolism. Five hundred and seventy patients with histopathologically confirmed breast cancer and 497 controls were included in the present study. Forty single nucleotide polymorphisms (SNPs) in the CYP1A1, CYP1A2, CYP1B1, CYP17, CYP19, CYP2C9, CYP2C19, AhR, ESR1, PGR, ERRG, COMT, HSD17B1, HSD17B2, EPHX1 and NQO1 genes were genotyped. Association of genotypes with breast cancer risk was evaluated using multivariate logistic regression, which suggested an altered risk for the following SNPs [gene, odds ratio (OR) and 95% confidence interval are shown]: heterozygote carriers of rs4917623 [CYP2C19, OR = 1.38 (1.04-1.84)], rs2066853 [AhR, OR = 1.34 (1.02-1.76)] and rs1857407 [ERRG, (OR = 0.72 (0.55-0.96)]; homozygote carriers of rs762551 [CYP1A2, OR = 2.75 (1.47-5.14)], rs4917623 [CYP2C19, OR = 1.48 (1.00-2.19) and rs945453 [ERRG, OR = 1.66 (1.04-2.65)]. In addition, a stratified analysis by menopausal status indicated that the association of the CYP1A2 (rs762551) and CYP17 (rs743572) polymorphisms with breast cancer risk were mainly evident in premenopausal, while ERRG (rs1857407) was significant in postmenopausal women. These findings suggest that CYP1A2, CYP2C19, AhR, ERRG and CYP17 polymorphisms may play an important role in estrogen metabolism and modify individual susceptibility to breast cancer in Thai women.

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Year:  2009        PMID: 19415745     DOI: 10.1002/ijc.24434

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  36 in total

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Authors:  C L Galindo; J F McCormick; V J Bubb; D H Abid Alkadem; Long-Shan Li; L J McIver; A C George; D A Boothman; J P Quinn; M A Skinner; H R Garner
Journal:  Breast Cancer Res Treat       Date:  2010-12-10       Impact factor: 4.872

2.  Association between EPHX1 rs1051740 and lung cancer susceptibility: a meta-analysis.

Authors:  Peng Zhang; Youzhi Zhang; Haihua Yang; Wenjing Li; Xiaodong Chen; Feng Long
Journal:  Int J Clin Exp Med       Date:  2015-10-15

3.  Association between the CYP1A2 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Wen-Xia Sun; Ying-Hua Chen; Zhi-Zhong Liu; Jian-Jun Xie; Wei Wang; Ya-Ping Du; Yu Chen; Xu-Liang Shen; Xiao-Feng He; Li-Xia Wu; Wu Wei; Lin Zhang
Journal:  Mol Genet Genomics       Date:  2014-12-04       Impact factor: 3.291

4.  Association between the CYP1B1 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Jie-Ying Liu; Yu Yang; Zhi-Zhong Liu; Jian-Jun Xie; Ya-Ping Du; Wei Wang
Journal:  Mol Genet Genomics       Date:  2014-12-05       Impact factor: 3.291

5.  Try113His and His139Arg polymorphisms in the microsomal epoxide hydrolase gene are not associated with risk of breast cancer.

Authors:  Wen-Feng Gong; Wen He; Qiu-Ming Zhang; Bang-De Xiang; Liang Ma; Shan Huang; Tao Bai; Jian-Hong Zhong; Le-Qun Li
Journal:  Tumour Biol       Date:  2014-05-20

6.  CYP17 polymorphism (rs743572) is associated with increased risk of gallbladder cancer in tobacco users.

Authors:  Rajani Rai; Kiran L Sharma; Sanjeev Misra; Ashok Kumar; Balraj Mittal
Journal:  Tumour Biol       Date:  2014-04-01

7.  Association between the COMT Val158Met polymorphism and breast cancer risk: a meta-analysis of 30,199 cases and 38,922 controls.

Authors:  Xiao-Feng He; Wu Wei; Shao-Xia Li; Jiao Su; Ying Zhang; Xiang-Hua Ye; Yi Liu; Wei Wang
Journal:  Mol Biol Rep       Date:  2012-06       Impact factor: 2.316

8.  Polymorphic variants in TSC1 and TSC2 and their association with breast cancer phenotypes.

Authors:  Madhura S Mehta; Alexei Vazquez; Diptee A Kulkarni; John E Kerrigan; Gurinder Atwal; Shoichi Metsugi; Deborah L Toppmeyer; Arnold J Levine; Kim M Hirshfield
Journal:  Breast Cancer Res Treat       Date:  2010-07-25       Impact factor: 4.872

9.  Evaluation of functional genetic variants for breast cancer risk: results from the Shanghai breast cancer study.

Authors:  Ben Zhang; Alicia Beeghly-Fadiel; Wei Lu; Qiuyin Cai; Yong-Bing Xiang; Ying Zheng; Jirong Long; Chuanzhong Ye; Kai Gu; Xiao-Ou Shu; Yutang Gao; Wei Zheng
Journal:  Am J Epidemiol       Date:  2011-03-31       Impact factor: 4.897

10.  Population-level diversity in the association of genetic polymorphisms of one-carbon metabolism with breast cancer risk.

Authors:  Shaik Mohammad Naushad; Chandrasekhar Divya; M Janaki Ramaiah; Tajamul Hussain; Salman A Alrokayan; Vijay Kumar Kutala
Journal:  J Community Genet       Date:  2016-08-19
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