Sun Yifan, Lu Yu, Pen Qiliu, Li Taijie, Xie Li, Deng Yan, Qin Aiping
Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Tumour Biol. 2015 Jun;36(6):4555-64. doi: 10.1007/s13277-015-3100-4. Epub 2015 Feb 4.
Data from previous studies about the association between interferon gamma (IFN-γ) +874 T/A (rs2430561) polymorphism and cervical cancer risk offer controversial results. To obtain a more dependable conclusion, this meta-analysis was performed. We selected eight articles including nine case-control studies with 1,116 cases and 1,290 controls, odds ratios (OR) with 95 % confidence intervals (CI) were used to assess the strength of the association. Subgroup analysis was carried out by ethnicity, source of controls, genotyping methods, and score of quality assessment. Our meta-analysis indicated that the IFN-γ (+874 T/A) polymorphism significantly increased the risk of cervical cancer in the codominant model (TA vs. TT: OR = 1.471, 95 % CI = 1.137-1.903, P = 0.003, I (2) % = 0.0, P Q = 0.785) and the dominant model (TA + AA vs. TT: OR = 1.399, 95 % CI = 1.097-1.784, P = 0.007, I (2) % = 0.0, P Q = 0.486) in the overall population. Stratified analysis by ethnicity indicated a significantly increased risk of cervical cancer in Asians in the codominant model (TA vs. TT: OR = 1.494, 95 % CI = 1.069-2.087, P = 0.019, I (2) % = 0.0, P Q = 0.440) and the dominant model (OR = 1.455, 95 % CI = 1.062-1.993, P = 0.019, I (2) % = 42.9, P Q = 0.154). Thus, the IFN-γ (+874 T/A) polymorphism is likely to increase the risk of cervical cancer. Because of the limited studies and sample sizes included in our meta-analysis, further well-designed and large-scale studies are demanded to confirm our results.
先前关于干扰素γ（IFN-γ）+874 T/A（rs2430561）多态性与宫颈癌风险之间关联的研究数据得出了相互矛盾的结果。为了获得更可靠的结论，我们进行了这项荟萃分析。我们筛选了8篇文章，其中包括9项病例对照研究，共1116例病例和1290例对照，采用比值比（OR）及95%置信区间（CI）来评估关联强度。我们依据种族、对照来源、基因分型方法以及质量评估得分进行了亚组分析。我们的荟萃分析表明，在共显性模型（TA vs. TT：OR = 1.471，95%CI = 1.137 - 1.903，P = 0.003，I²% = 0.0，P_Q = 0.785）和显性模型（TA + AA vs. TT：OR = 1.399，95%CI = 1.097 - 1.784，P = 0.007，I²% = 0.0，P_Q = 0.486）中，IFN-γ（+874 T/A）多态性显著增加了总体人群患宫颈癌的风险。按种族进行的分层分析表明，在共显性模型（TA vs. TT：OR = 1.494，95%CI = 1.069 - 2.087，P = 0.019，I²% = 0.0，P_Q = 0.440）和显性模型（OR = 1.455，95%CI = 1.062 - 1.993，P = 0.019，I²% = 42.9，P_Q = 0.154）中，亚洲人患宫颈癌的风险显著增加。因此，IFN-γ（+874 T/A）多态性可能会增加患宫颈癌的风险。由于我们的荟萃分析纳入的研究和样本量有限，需要进一步开展设计良好的大规模研究来证实我们的结果。
