引用本文:郭连英 1,齐 峥 2,王化丽 3,刘 刚 4.MICA基因微卫星多态性与卵巢癌的关系研究[J].大连医科大学学报,2015,37(5):432-434.
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 次   下载 本文二维码信息
码上扫一扫!
分享到: 微信 更多
MICA基因微卫星多态性与卵巢癌的关系研究
郭连英 1,齐 峥 2,王化丽 3,刘 刚 41,2,3,4
1.大连医科大学 病理生理学教研室,辽宁 大连 116044;2.辽宁师范大学附属中学,辽宁 大连 116023;3.大连市妇产医院 妇科,辽宁 大连 116033;4.大连医科大学附属第二医院,辽宁 大连 116027
摘要:
[摘要] 目的 探讨MICA基因第5外显子微卫星多态性与卵巢癌发病的关系。 方法 实验组包括95名临床已确诊卵巢癌患者,对照组包括99名无血缘关系的辽宁汉族健康女性。采用PCR-毛细管电泳方法检测被试MICA基因第5外显子微卫星的基因型。 结果 两组均检测出5种等位基因,分别为A4(179 bp)、A5(182 bp)、A5.1(183 bp)、A6(185 bp)和A9(194 bp)。正常对照组MICA第5外显子A5.1等位基因的频率最高,为33.8%。实验组和对照组MICA第5外显子A5等位基因的频率分别为31.1%和19.2%,差异有显著性意义(P<0.01)。 结论 MICA基因第5外显子A5等位基因增加了卵巢癌的发病风险。
关键词:  MICA基因  人类白细胞抗原  微卫星多态性  卵巢癌
DOI:10.11724/jdmu.2015.05.05
分类号:
基金项目:基金项目:大连市科技计划项目(2010J21DW035)
Association of microsatellite polymorphism of MICA gene with susceptibility to ovarian cancer
GUO Lian-ying 1, QI-Zheng 2 ,WANG Hua-li 3, LIU Gang 41,2,3,4
1.Department of Pathophysiology,Dalian Medical University,Dalian 116044,China;2.The High School Affiliated to Liaoning Normal University, Dalian 116023, China;3.Department of Gynecology, Dalian Obstetric and Gynecological Hospital,Dalian 116033,China;4.The Second Affiliated Hospital of Dalian Medical University, Dalian 116027,China
Abstract:
[Abstract] Objective To explore the relationship between microsatellite polymorphism of MICA gene exon 5 and the risk of ovarian cancer. Methods A total of 95 ovarian cancer patients and 99 unrelated healthy people were recruited in this study. PCR-capillary electrophoresis method was used to detect the microsatellite genotypes of MICA gene exon 5. Results Five alleles were observed in both groups, A4(179 bp),A5(182 bp),A5.1(183 bp), A6(185 bp)and A9(194 bp), respectively. In the control group, A5.1 was the most common allele (33.8%). The frequency of A5 allele of MICA gene in ovarian cancer patients was significantly higher than that in controls (31.1% vs. 19.2%, P<0.01). Conclusion A5 allele of MICA gene exon 5 could be associated with high risk of ovarian cancer.
Key words:  [Key words] MICA gene  HLA  microsatellite polymorphism  ovarian cancer