白细胞介素-10(IL-10)基因多态性与卵巢癌风险的关系:系统回顾和荟萃分析

Stavri Totou, Datis Kalali
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引用次数: 0

摘要

背景。卵巢癌是一种病死率高的癌症,由于其无症状的性质,导致较晚的诊断。因此,迫切需要发现与疾病易感性相关的遗传标记。鉴于抗炎细胞因子在癌症易感性中起着重要作用,本研究通过系统回顾和荟萃分析来评估白细胞介素-10 (IL-10)基因多态性与卵巢癌风险的关系。材料和方法。在线数据库检索了从2023年6月开始的文章,用于评估卵巢癌患者和对照组中IL-10多态性的频率。在三种不同的遗传模型下,计算了基因型的优势比及其各自的95%置信区间。共有5条记录研究了IL-10-819的C>T和IL-10-1082的G>A多态性进行了定量分析。荟萃分析显示,在显性(CT + TT vs CC)遗传模型下,IL-10-819 C>T多态性与卵巢癌风险显著相关(OR = 2.67;95% ci = [1.17,6.12];p = 0.02)。meta分析提示IL-10-819 C>T的T等位基因与卵巢癌风险增加相关,但IL-10-1082 G>A多态性与卵巢癌的相关性无统计学意义。未来的研究需要进一步验证这些结果。
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Association of the interleukin-10 (IL-10) gene polymorphisms with ovarian cancer risk: a systematic review and meta-analysis
Background. Ovarian cancer is a cancer with high fatality due to its symptomless nature which leads to late diagnosis. Therefore, there is an urgent need to discover genetic markers which are related to predisposition to the disease. With anti-inflammatory cytokines playing a major role in cancer predisposition, the present systematic review and meta-analysis was undertaken to evaluate the association of the interleukin-10 (IL-10) gene polymorphisms with ovarian cancer risk. Material and methods. Online databases were searched for articles dating from June 2023 until inception for studies assessing the frequencies of IL-10 polymorphisms in ovarian cancer patients and controls. The odds ratios of the genotypes alongside with their respective 95% confidence intervals were calculated under three different genetic models. Results. A total of 5 records studying the IL-10-819 C>T and IL-10-1082 G>A polymorphisms were included in the quantitative analysis. The meta-analysis suggested that the IL-10-819 C>T polymorphism was significantly associated the risk of ovarian cancer under a dominant (CT + TT vs CC) inheritance model (OR = 2.67; 95% CI = [1.17,6.12]; p = 0.02). Conclusions. The meta-analysis suggested that the T allele of the IL-10-819 C>T is associated with increased risk of ovarian cancer, but there is no statistically significant association between the IL-10-1082 G>A polymorphism and ovarian cancer. Future studies are required to further verify these results.
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