Literature DB >> 19634110

No association between EGF +61 A/G polymorphism and increased risk of glioma.

Xiaoqian Liu1, Li Li, Xiangmei Chen, Xuefeng Wang, Luyan Mu, Yajuan Li, Qiang Xu, Qing Xie, Fengmin Lu.   

Abstract

A single nucleotide polymorphism (SNP) of the epidermal growth factor (EGF) gene +61 A/G in the 5'-untranslated region has been reported to be associated with susceptibility to glioma. A case-control study (168 glioma patients and 194 normal controls) was conducted to elucidate its possible association with the risk of glioma in the Chinese population. Polymerase chain reaction-restriction fragment length polymorphism assay was used to analyze the EGF genotypes. The genotyping results were further confirmed by direct sequencing. The EGF +61A and +61G allele frequencies in the glioma group were 32.1% and 67.9%, respectively, while they were 30.4% and 69.6% in the healthy controls. Furthermore, the frequency of the A/A, A/G and G/G genotypes in glioma patients was 8.9%, 46.4%, and 44.7%, respectively, and 8.3%, 44.3%, and 47.4% in controls. There was no significant difference between patients and healthy controls. The EGF +61 A/G and +61 G/G genotypes were not significantly associated with risk of glioma compared with the A/A genotype. In addition, no significant association was observed between EGF polymorphism and different histological grades of glioma. These results indicate that the EGF +61 A/G polymorphism is not associated with susceptibility to glioma in the Chinese population. In addition, a literature review revealed a significantly higher rate of the A/A genotype in Caucasian compared with East Asian subjects. Such differences in genotype distribution between Caucasian and Asian people should be taken into account in future studies.

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Year:  2009        PMID: 19634110     DOI: 10.1177/172460080902400203

Source DB:  PubMed          Journal:  Int J Biol Markers        ISSN: 0393-6155            Impact factor:   3.248


  8 in total

1.  Analysis of EGF+61A>G polymorphism and EGF serum levels in Brazilian glioma patients treated with perillyl alcohol-based therapy.

Authors:  Francisco das Chagas Abreu da Silveira; Bruno de Almeida Lopes; Clovis Orlando da Fonseca; Thereza Quirico-Santos; Izabel Christina Nunes de Palmer Paixão; Lidia Maria da Fonte de Amorim
Journal:  J Cancer Res Clin Oncol       Date:  2012-04-06       Impact factor: 4.553

2.  Association between EGF +61 G/A and glioma risk in a Chinese population.

Authors:  Shujie Wang; Yao Zhao; Zhenchao Ruan; Hongyan Chen; Weiwei Fan; Juxiang Chen; Qihan Wu; Ji Qian; Tianbao Zhang; Yan Huang; Daru Lu
Journal:  BMC Cancer       Date:  2010-05-21       Impact factor: 4.430

3.  Quantitative assessment of the association between +61A>G polymorphism of epidermal growth factor gene and susceptibility to glioma.

Authors:  Yingqun Tao; Guobiao Liang
Journal:  Tumour Biol       Date:  2013-08-21

4.  Association between the Thr241Met polymorphism of X-ray repair cross-complementing group 3 gene and glioma risk: evidence from a meta-analysis based on 4,136 cases and 5,233 controls.

Authors:  Jun Lin; Yun Kou
Journal:  Tumour Biol       Date:  2013-08-07

5.  Association between epidermal growth factor gene rs4444903 polymorphism and risk of glioma.

Authors:  Mingjun Hu; Hangyu Shi; Zanfeng Xu; Weiping Liu
Journal:  Tumour Biol       Date:  2013-05-05

6.  Association between EGF promoter polymorphisms and cancer risk: a meta-analysis.

Authors:  Wei Xu; Yan Li; Xueli Wang; Bo Chen; Shan Liu; Yan Wang; Weihong Zhao; Jianqing Wu
Journal:  Med Oncol       Date:  2009-12-24       Impact factor: 3.064

7.  A functional +61G/A polymorphism in epidermal growth factor is associated with glioma risk among Asians.

Authors:  Xin Xu; Lei Xi; Jie Zeng; Qinhong Yao
Journal:  PLoS One       Date:  2012-07-19       Impact factor: 3.240

8.  Association between the epidermal growth factor +61 G/A polymorphism and glioma risk: a meta-analysis.

Authors:  Xin Chen; Guang Yang; Daming Zhang; Weiguang Zhang; Huichao Zou; Hongbo Zhao; Xinjian Zhang; Shiguang Zhao
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

  8 in total

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