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

• Published in: Diagnostic pathology 2014-09, Vol.9 (1), p.168-168, Article 168
• Main Authors: Hu, Yuan-Yuan, Zheng, Rong, Guo, Chong, Niu, Yu-Ming
• Format: Article
• Language: English
• Subjects: Alleles; Analysis; Cancer; Case-Control Studies; Cell division; Cell growth; Cervical cancer; Confidence intervals; Cyclin D1 - genetics; Development and progression; Ethnicity; Female; Genetic aspects; Genetic polymorphisms; Genetic Predisposition to Disease; Genotype; Hospitals; Human papillomavirus; Humans; Infections; Medicine; Meta-analysis; Methodology; Odds Ratio; Oncology, Experimental; Polymorphism, Single Nucleotide; Proteins; Risk; Risk Factors; Statistical analysis; Studies; Uterine Cervical Neoplasms - genetics
• ISSN: 1746-1596; 1746-1596
• DOI: 10.1186/s13000-014-0168-x

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. 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. 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 I2=74.5%), codominant model (GA vs. GG: OR=0.98, 95% CI=0.77-1.26, P=0.90 I2=69.1%; AA vs GG: OR=1.03, 95% CI=0.75-1.41, P=0.85 I2=75.9%), dominant model (GA + AA vs. GG: OR=1.00, 95% CI=0.78-1.28, P=0.99 I2=72.3%) and recessive model (AA vs GG + GA: OR=1.06, 95% CI=0.85-1.23, P=0.62, I2=70.1%). Similarly, in the stratified analysis by ethnicity, study design and genotyping type, no significant association detected in all genetic models either. Our meta-analysis indicated that CCND1 G870A might be not the crucial risk factor for the development of cervical cancer. The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_168.