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Association of glutathione S-transferase T1, M1, and P1 polymorphisms in the breast cancer risk: a meta-analysis

Overview of attention for article published in Therapeutics and Clinical Risk Management, May 2016
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Title
Association of glutathione S-transferase T1, M1, and P1 polymorphisms in the breast cancer risk: a meta-analysis
Published in
Therapeutics and Clinical Risk Management, May 2016
DOI 10.2147/tcrm.s104339
Pubmed ID
Authors

Zhiwang Song, Chuan Shao, Chan Feng, Yonglin Lu, Yong Gao, Chunyan Dong

Abstract

Several case-control studies investigating the relationship between genetic polymorphisms of glutathione S-transferase (GST) M1, GSTT1, and GSTP1 (rs1695) and the risk of breast cancer have reported contradictory results. We therefore performed a meta-analysis to clarify this issue. An updated meta-analysis using PubMed and Web of Knowledge databases for the eligible case-control studies was performed. Random- or fixed-effects model was used. A total of 10,067 cancer cases and 12,276 controls in 41 independent case-control studies from 19 articles were included in this meta-analysis. Significant increase in risk of breast cancer for Asians was found in GSTM1-null genotype (P=0.012, odds ratio [OR] =1.17, 95% confidence interval [CI] =1.04-1.32) and GSTT1-null genotype (P=0.039, OR =1.19, 95% CI =1.01-1.41). In addition, our results showed that the GSTP1 (rs1695) polymorphisms can significantly increase the risk among Caucasians (P=0.042, OR =1.16, 95% CI =1.01-1.34). Sensitivity analysis and publication bias further confirmed the dependability of the results in this meta-analysis. Our results demonstrate that both GSTM1- and GSTT1-null polymorphisms are associated with an increased risk of breast cancer in Asians and that GSTP1 Val105Ile (rs1695) polymorphism is associated with an increased breast cancer risk in Caucasians.

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Mendeley readers

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The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 15%
Student > Bachelor 3 12%
Student > Doctoral Student 2 8%
Lecturer 2 8%
Unspecified 2 8%
Other 6 23%
Unknown 7 27%
Readers by discipline Count As %
Medicine and Dentistry 4 15%
Agricultural and Biological Sciences 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Unspecified 2 8%
Chemistry 2 8%
Other 5 19%
Unknown 8 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2016.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,070
of 1,323 outputs
Outputs of similar age
#232,138
of 311,861 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#48
of 57 outputs
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We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.