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Published in: Tumor Biology 4/2014

01-04-2014 | Research Article

Quantitative assessment of the association between three polymorphisms in FAS and FASL gene and breast cancer risk

Authors: Zexing Wang, Jun Gu, Weiwei Nie, Jing Xu, Guichun Huang, Xiaoxiang Guan

Published in: Tumor Biology | Issue 4/2014

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Abstract

FAS and FAS ligand (FASL) play crucial roles in apoptotic signaling, and deregulation of this pathway may facilitate carcinogenesis. Studies on the association between the FAS/FASL polymorphisms (FAS-1377G/A rs2234767, FAS-670A/G rs1800682, and FASL-844C/T rs763110) and breast cancer risk have reported inconsistent results. Therefore, to characterize the relationship between those polymorphisms and breast cancer risk, we undertook a meta-analysis of those studies. Several electronic databases were searched for articles on the FAS/FASL polymorphisms and breast cancer risk. The genotype data were extracted; pooled odds ratios (OR) with 95 % confidence intervals (CIs) were used to estimate the strength of the association. Five studies were eligible for our meta-analysis. Overall, we observed significant associations of the FAS-1377G/A polymorphism with breast cancer susceptibility (AG vs. GG: OR = 1.15, 95 % CI 1.02–1.30; AA vs. GG: OR = 1.39, 95 % CI 1.12–1.72; AG/AA vs. GG: OR = 1.18, 95 % CI, 1.16–1.32; A vs. G: OR = 1.16, 95 % CI 1.06–1.26), but we did not observe significant association of the Fas-670A/G and FasL-844C/T polymorphisms with breast cancer risk. In the subgroup analysis, we observed that the FAS-1377G/A and FASL-844C/T polymorphisms were associated with breast cancer risk in Chinese but not Whites; we still did not observed association of the FAS-670A/G polymorphism with breast cancer risk. Our meta-analysis revealed that FAS-1377G>A polymorphism was associated with an increased risk of breast cancer. FASL-844C>T polymorphism might be associated with a reduced breast cancer risk in Chinese. However, FAS-670A/G had no any effect on breast carcinogenesis.
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Metadata
Title
Quantitative assessment of the association between three polymorphisms in FAS and FASL gene and breast cancer risk
Authors
Zexing Wang
Jun Gu
Weiwei Nie
Jing Xu
Guichun Huang
Xiaoxiang Guan
Publication date
01-04-2014
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 4/2014
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-013-1392-9

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