Literature DB >> 18383855

A new single nucleotide polymorphism in XRCC4 gene is associated with breast cancer susceptibility in Taiwanese patients.

Chang-Fang Chiu1, Hwei-Chung Wang, Chung-Hsing Wang, Cheng-Li Wang, Cheng-Chieh Lin, Chen-Yang Shen, Su-Yin Chiang, Da-Tian Bau.   

Abstract

BACKGROUND: The DNA repair gene XRCC4, an important caretaker of the overall genome stability, is thought to play a major role in the human carcinogenesis. Some new and important polymorphic variants of XRCC4, at codon 247 (rs 3734091), G-1394T (rs 6869366), and Intron 7 (rs 28360317), and their association with breast cancer susceptibility was investigated in a Taiwanese population.
MATERIALS AND METHODS: In a hospital-based case-control study, 432 female patients with breast cancer and 432 age-matched healthy controls recruited from the China Medical Hospital in Central Taiwan were genotyped.
RESULTS: A significant difference in the frequency of the XRCC4 G-1394T genotype, but not the XRCC4 codon 247, or intron 7 genotypes was found between the breast cancer and control groups. Individuals with G/T or T/T at the XRCC4 G-1394T locus showed a 2.33-fold (95% confidence interval=1.37-3.98) increased risk of breast cancer compared to those with G/G. For XRCC4 codon 247 or intron 7, there was no difference in distribution between the breast cancer and control groups.
CONCLUSION: Our findings suggest that the heterozygous and homozygous T allele of the XRCC4 G-1394T may be associated with the development of breast cancer and may be a useful biomarker for anticancer prevention and intervention.

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Year:  2008        PMID: 18383855

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  11 in total

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9.  Susceptibility to Breast Cancer and Intron 3 Ins/Del Genetic Polymorphism of DNA Double-Strand Break Repair Gene XRCC4.

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10.  Contribution of excision repair cross-complementing group 1 genotypes to triple negative breast cancer risk.

Authors:  Chia-Wen Tsai; Wen-Shin Chang; Te-Chun Shen; Chen-Hsien Su; Hwei-Chung Wang; Liang-Chih Liu; Da-Tian Bau
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