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Published in: Diagnostic Pathology 1/2014

Open Access 01-12-2014 | Methodology

Association between cyclin D1 G870A polymorphism and cervical cancer risk: a cumulative meta-analysis involving 2,864 patients and 3,898 controls

Authors: Yuan-Yuan Hu, Rong Zheng, Chong Guo, Yu-Ming Niu

Published in: Diagnostic Pathology | Issue 1/2014

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Abstract

Background

Association between Cyclin D1 (CCND1) polymorphism and cervical cancer risk are conflicting with published articles. We performed a meta-analysis to investigate the association between CCND1 G870A polymorphism and cervical cancer risk.

Methods

PubMed, Embase and CNKI data were researched to conduct a meta-analysis on the associations between CCND1 G870A polymorphism and cervical cancer risk. Ten published case-control studies including 2,864 patients with cervical cancer and 3,898 controls were collected in this meta-analysis. Odds ratio (OR) with 95% confidence interval (CI) were applied to assess the relationship; meta-regression, sensitivity analysis and cumulative analysis were also conducted to guarantee the strength of results.

Results

Overall, no significant association between CCND1 G870A polymorphism and cervical cancer risk were found in allele contrast (A vs. G: OR = 1.02, 95% CI = 0.88-1.19, P = 0.76 I 2 = 74.5%), codominant model (GA vs. GG: OR = 0.98, 95% CI = 0.77-1.26, P = 0.90 I 2 = 69.1%; AA vs GG: OR = 1.03, 95% CI = 0.75-1.41, P = 0.85 I 2 = 75.9%), dominant model (GA + AA vs. GG: OR = 1.00, 95% CI = 0.78-1.28, P = 0.99 I 2 = 72.3%) and recessive model (AA vs GG + GA: OR = 1.06, 95% CI = 0.85-1.23, P = 0.62, I 2 = 70.1%). Similarly, in the stratified analysis by ethnicity, study design and genotyping type, no significant association detected in all genetic models either.

Conclusions

Our meta-analysis indicated that CCND1 G870A might be not the crucial risk factor for the development of cervical cancer.

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Metadata
Title
Association between cyclin D1 G870A polymorphism and cervical cancer risk: a cumulative meta-analysis involving 2,864 patients and 3,898 controls
Authors
Yuan-Yuan Hu
Rong Zheng
Chong Guo
Yu-Ming Niu
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue 1/2014
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/s13000-014-0168-x

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