Liang Xianghua, Chen Bingxiang, Zhong Jianxin
Department of Gynecology and Obstetrics, Qidong People's Hospital, Jiangsu, China.
Department of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, Jiangsu, China.
Oncotarget. 2017 May 24;8(34):57409-57413. doi: 10.18632/oncotarget.18164. eCollection 2017 Aug 22.
The relation between gene polymorphism and cervical cancer has not been determined. At present, we utilized a meta-analysis method to elucidate the association between and cervical cancer.
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; = 0.02.]. However, this association was not find in a dominant model [OR = 0.76, 95% CI (0.45-1.27); = 0.29], in a co-dominant model [OR = 1.01; 95% CI: 0.98-1.04, = 0.56] or in an allelic model [OR = 0.97, 95% CI: 0.93-1.00; = 0.09].
To further evaluate the relation between the gene polymorphism and cervical cancer, we selected 5 case-control studies related to gene polymorphism and cervical cancer by searching CNKI, VIP, WanFang, PubMed and EMbase database. We utilized -test and I 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.
Our results suggest that 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.
基因多态性与宫颈癌之间的关系尚未明确。目前,我们采用荟萃分析方法来阐明[基因名称未给出]与宫颈癌之间的关联。
本研究纳入了635例宫颈癌患者和998例无癌对照者。通过荟萃分析,我们发现在隐性模型中P73基因多态性与宫颈癌存在显著关联[比值比(OR)=0.91,95%置信区间(CI):0.84 - 0.98;P = 0.02]。然而,在显性模型[OR = 0.76,95% CI(0.45 - 1.27);P = 0.29]、共显性模型[OR = 1.01;95% CI:0.98 - 1.04,P = 0.56]或等位基因模型[OR = 0.97,95% CI:0.93 - 1.00;P = 0.09]中未发现这种关联。
为进一步评估[基因名称未给出]基因多态性与宫颈癌之间的关系,我们通过检索中国知网(CNKI)、维普资讯(VIP)、万方数据库、PubMed和EMbase数据库,选取了5项与[基因名称未给出]基因多态性和宫颈癌相关的病例对照研究。我们采用卡方检验和I²检验来检验各研究之间的异质性。采用固定效应模型计算比值比(OR)及其95%置信区间。
我们的结果表明[基因名称未给出]基因多态性与宫颈癌风险相关。然而,我们的结论仍需要大样本量的病例对照研究或队列研究来进一步证实这一结果。