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Tumor Biology

, Volume 35, Issue 3, pp 1785–1790 | Cite as

CD95 rs1800682 polymorphism and cervical cancer risk: evidence from a meta-analysis

  • Yan Zhang
  • Shengchun Tong
  • Lihua Guan
  • Fei Na
  • Wei Zhao
  • Li Wei
Research Article

Abstract

CD95 is the first death receptor identified and characterized in recent years, and it plays important roles in the molecular network regulating cell death and survival. CD95 rs1800682 polymorphism is a common genetic polymorphism identified in the CD95 gene. Many publications evaluated the association between CD95 rs1800682 polymorphism and cervical cancer risk, but the association remained inconclusive. To provide a more precise estimate on the association, a meta-analysis was carried out. The association between CD95 rs1800682 polymorphism and cervical cancer risk was assessed by calculating the pooled odds ratio (OR) with its 95 % confidence intervals (95 % CI). On the basis of our inclusion criteria, ten studies with a total of 5,481 individuals were included into the meta-analysis. There was obvious heterogeneity among the included studies. Meta-analysis of the ten studies suggested that there was no association between CD95 rs1800682 polymorphism and cervical cancer risk under all four genetic models (allele model: OR = 1.05, 95 % CI 0.92–1.18, P = 0.478; homozygous model: OR = 1.08, 95 % CI 0.83–1.41, P = 0.550; dominant model: OR = 1.12, 95 % CI 0.88–1.42, P = 0.347; recessive model: OR = 1.00, 95 % CI 0.76–1.31, P = 0.978). Subgroup analysis by ethnicity suggested that there was no association between CD95 rs1800682 polymorphism and cervical cancer risk in Asians, Caucasians, and Africans. Thus, the meta-analysis suggests that CD95 rs1800682 polymorphism is not associated with cervical cancer risk.

Keywords

CD95 Cervical cancer Association Meta-analysis 

Notes

Conflicts of interest

None

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Copyright information

© International Society of Oncology and BioMarkers (ISOBM) 2013

Authors and Affiliations

  • Yan Zhang
    • 1
  • Shengchun Tong
    • 1
  • Lihua Guan
    • 1
  • Fei Na
    • 1
  • Wei Zhao
    • 1
  • Li Wei
    • 1
  1. 1.Department of GynecologyThe Fourth Hospital Affiliated to China Medical UniversityShenyangChina

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