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CTLA-4 polymorphisms associate with breast cancer susceptibility in Asians: A meta-analysis

  • Zhiming Dai
  • , Tian Tian
  • , Meng Wang
  • , Xinghan Liu
  • , Shuai Lin
  • , Pengtao Yang
  • , Kang Liu
  • , Yi Zheng
  • , Peng Xu
  • , Meng Liu
  • , Xuewen Yang
  • , Zhijun Dai
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Previous studies have investigated the association between cytotoxic T-lymphocyte antigen-4 (CTLA-4) polymorphisms and breast cancer susceptibility, but the results remained inconsistent. Therefore, we evaluated the relationship between four common CTLA-4 polymorphisms and breast cancer risk by a meta-analysis, aiming to derive a comprehensive and precise conclusion. We searched EMBASE, Pubmed, Web of Science, CNKI, and Wanfang databases until July 18th, 2016. Finally, ten eligible studies involving 4,544 breast cancer patients and 4,515 cancer-free controls were included; all these studies were from Asia. Odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the breast cancer risk in five genetic models. The results indicated that the CTLA-4 +49A>G (rs231775) polymorphism had a significant association with decreased breast cancer risk in allelic, homozygous, dominant and recessive models. Also, the +6230G>A (rs3087243) polymorphism reduced breast cancer risk especially in the Chinese population under homozygous and recessive models. In contrast, the -1661A>G (rs4553808) polymorphism increased breast cancer risk in allelic, heterozygous and dominant models, whereas -1722 T>C (rs733618) did not relate to breast cancer risk. In conclusion, CTLA-4 polymorphisms significantly associate with breast cancer susceptibility in Asian populations, and different gene loci may have different effects on breast cancer development. Further large-scale studies including multi-racial populations are required to confirm our findings.

Original languageEnglish
Article numbere2815
JournalPeerJ
Volume2017
Issue number1
DOIs
StatePublished - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • CTLA-4
  • Meta-analysis
  • Polymorphism
  • Susceptibility

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