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The rs1024611 in the CCL2 gene and risk of gynecological cancer in Asians: a meta-analysis

Overview of attention for article published in World Journal of Surgical Oncology, February 2018
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Title
The rs1024611 in the CCL2 gene and risk of gynecological cancer in Asians: a meta-analysis
Published in
World Journal of Surgical Oncology, February 2018
DOI 10.1186/s12957-018-1335-4
Pubmed ID
Authors

Shuying He, Xiuzhen Zhang

Abstract

The -2518A/G (rs1024611) polymorphism of the CCL2 (C-C motif chemokine ligand 2), also known as MCP-1 (monocyte chemotactic protein-1) gene, has been reported to be associated with increased gynecological cancer risk, but the results are conflicting. In this analysis, 1089 cases and 1553 controls from six publications were used to investigate the association between CCL2-2518A/G (rs1024611) polymorphism and the risk of gynecological cancer with a meta-analytic approach. Studies published on EBSCO, EMBASE, Web of Science, PubMed, SpringerLink, ScienceDirect, Weipu, and CNKI databases were identified (last update was on November 3, 2015). Six articles focused on the association between CCL2-2518A/G (rs1024611) polymorphism, and gynecological cancer risk was selected and data were extracted. The cancer type included endometrial cancer (n = 1), breast cancer (n = 2), ovarian cancer (n = 2), and cervical cancer (n = 1). All statistical analyses were performed using the STATA version 12.0 software. The meta-analysis showed that CCL2-2518A/G (rs1024611) polymorphism is associated with risk of gynecological cancer (GG vs AG + AA, OR = 1.55, 95%CI = 1.07-2.24, P < 0.05; AA vs GG, OR = 0.59 95%CI = 0.38-0.92, P < 0.05). Notably, the subgroup analysis demonstrated that the genotype AA is associated with a reduced gynecological cancer risk in Asians, but an increased risk when compared to AG in Europeans. Our data demonstrated the CCL2-2518A/G (rs1024611) polymorphism is significantly associated with risk of gynecological cancer, and the association differs by ethnicity.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Lecturer 3 13%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Other 1 4%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Unspecified 1 4%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 5 22%
Unknown 9 39%