Oncotarget

Meta-Analysis:

Association of P73 polymorphisms with susceptibilities of cervical carcinoma: a meta-analysis

Xianghua Liang _, Bingxiang Chen and Jianxin Zhong

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Oncotarget. 2017; 8:57409-57413. https://doi.org/10.18632/oncotarget.18164

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Abstract

Xianghua Liang1, Bingxiang Chen1 and Jianxin Zhong2

1Department of Gynecology and Obstetrics, Qidong People's Hospital, Jiangsu, China

2Department of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, Jiangsu, China

Correspondence to:

Xianghua Liang, email: [email protected]

Keywords: P73 gene, cervical cancer, meta analysis

Received: March 31, 2017     Accepted: May 09, 2017     Published: May 24, 2017

ABSTRACT

Objective: The relation between P73 gene polymorphism and cervical cancer has not been determined. At present, we utilized a meta-analysis method to elucidate the association between P73 and cervical cancer.

Results: The present study included 635 patients with cervical cancer and 998 cancer-free control subjects. Using meta-analysis, we found a significant association of P73 genetic polymorphism with cervical cancer in a recessive model [OR = 0.91, 95% CI: 0.84−0.98; P = 0.02.]. However, this association was not find in a dominant model [OR = 0.76, 95% CI (0.45−1.27); P = 0.29], in a co-dominant model [OR = 1.01; 95% CI: 0.98–1.04, P = 0.56] or in an allelic model [OR = 0.97, 95% CI: 0.93−1.00; P = 0.09].

Materials and Methods: To further evaluate the relation between the P73 gene polymorphism and cervical cancer, we selected 5 case-control studies related to P73 gene polymorphism and cervical cancer by searching CNKI, VIP, WanFang, PubMed and EMbase database. We utilized Q-test and I2 test to test the heterogeneity between each study. The fixed effects model was utilized to calculate the odds ratio (OR) and its 95% confidence interval.

Conclusions: Our results suggest that P73 gene polymorphism was associated with the risk of cervical cancer. However, our conclusion still requires large sample size of case-control studies or cohort studies to further confirm this result.


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