天津医药 ›› 2016, Vol. 44 ›› Issue (5): 563-567.doi: 10.11958/20150352

• 细胞与分子生物学 • 上一篇    下一篇

12 种 microRNA 在卵巢癌中的表达及临床意义

滕长财, 郑红△   

  1. 天津医科大学肿瘤医院, 肿瘤研究所肿瘤分子流行病与生物统计研究室, 国家肿瘤临床研究中心, 天津市肿瘤防治重点实验室 (邮编 300060)
  • 收稿日期:2015-11-25 修回日期:2016-01-14 出版日期:2016-05-15 发布日期:2016-05-18
  • 通讯作者: △通讯作者 E-mail:zhengh64@163.com E-mail:zhengh64@aliyun.com
  • 作者简介:滕长财 (1990), 男, 硕士在读, 主要从事肿瘤分子生物学研究
  • 基金资助:
    国家自然科学基金资助项目 (81470153)

The expression and clinical significance of 12 kinds of microRNAs in ovary cancer

TENG Changcai, ZHENG Hong△   

  1. Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin 300060, China
  • Received:2015-11-25 Revised:2016-01-14 Published:2016-05-15 Online:2016-05-18
  • Contact: △Corresponding Author E-mail:zhengh1964@163.com E-mail:zhengh64@aliyun.com

摘要: 摘要: 目的 利用公共数据库分析卵巢癌组织中 12 种 microRNA(miR)的表达及其临床意义。方法 筛选在 GSE14407 数据集和 TCGA 数据库中均具有表达信息的 microRNA, 得到 miR-10B、 miR-1244、 miR-622、 miR-21、 miR-503、 Let-7D、 miR-155、 miR-30C、 miR-17、 miR-101-1、 miR-186 以及 miR-770 共 12 种 microRNA, 在这 12 种 microRNA 中寻找在卵巢癌(卵巢癌组)和癌旁组织(癌旁组)中表达有差异的基因。利用在 TCGA 数据库中筛选得 到的 505 例卵巢癌患者数据, 年龄按照中位数分为高年龄(≥59 岁)组和低年龄(<59 岁)组; 临床分期分为早期组 (Ⅰ期+Ⅱ期)、 晚期组 (Ⅲ期+Ⅳ期) 及未知; 肿瘤分级分为低级别 (G1+G2) 组和高级别 (G3+G4) 组; 病发位置分为单侧 组、 双侧组; 肿瘤残余分为<10 mm 组、 ≥10 mm 组; microRNA 按照表达量的中位数分为高表达组和低表达组, 进行 Kaplan-Meier 单因素生存分析和多因素 Cox 回归分析。结果 癌旁组 Let-7D 和 miR-101-1 表达水平高于卵巢癌 组, 而 miR-155 和 miR-770 表达水平低于卵巢癌组 (均 P < 0.05)。生存分析显示, 年龄≥59 岁、 临床分期 (Ⅲ+ Ⅳ) 期 和 Let-7D 低表达的患者生存情况较差 (P < 0.05)。Let-7D 低表达是卵巢癌患者生存的独立危险因素。结论 Let- 7D 的表达与卵巢癌预后相关, 可能是卵巢癌预后的独立影响指标。

关键词: 卵巢肿瘤, 因素分析, 统计学, 微 RNAs, 预后, GEO 数据库, TCGA 数据库, Let-7D

Abstract: Abstract:Objective To analyse the expression and clinical significance of 12 kinds of microRNAs (miR) in patients with ovarian cancer using public gene expression databases. Methods The microRNA expression data were screened in dataset GSE14407 and TCGA database, then 12 kinds of microRNAs were obtained including miR-10B, miR-1244, miR- 622, miR-21, miR-503, Let-7D, miR-155, miR-30C, miR-17, miR-101-1, miR-186 and miR-770. The expression data of these 12 kinds of microRNAs were compared and identified to find the differential ones between normal tissue and tumors. Data of 505 ovary cancer patients were divided into two groups by age, tumor grade, clinical stage, disease location, tumor residual and microRNA expression. Kaplan-Meier survival analysis and Cox multivariate analysis were used to compare the overall survival of ovary cancer patients between two groups. Results Compared with ovary cancer, the expression levels of Let-7D and miR-101-1 were higher, but the expression levels of miR-155 and miR-770 were decreased, in adjacent tissue of ovary tumor (P < 0.05). The Kaplan-Meier survival analysis result showed that lower survival rates were found in patients with age≥59 years, clinical stage (Ⅲ+Ⅳ) and lower Let-7D expression (P < 0.05). The multivariate Cox regression analysis showed that the decreased expression level of Let-7D was the independent risk factor for the prognosis of ovarian cancer. Conclusion The expression of Let- 7D is correlated with the prognosis of ovarian cancer, which is the independent biomarker to predict prognosis of ovarian cancer.

Key words: ovarian neoplasms, factor analysis, statistical, microRNA, prognosis, GEO database, TCGA database, Let-7D