河北医科大学学报 ›› 2023, Vol. 44 ›› Issue (7): 824-829.doi: 10.3969/j.issn.1007-3205.2023.07.015

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miRNA促进卵巢癌侵袭转移的机制研究

  

  1. 1.江苏省丹阳市人民医院检验科，江苏 丹阳 212300；2.江苏省南通市海门区人民医院检验科，江苏 南通 226000

  • 出版日期:2023-07-25 发布日期:2023-07-24
  • 作者简介:王璐（1983-），女，安徽合肥人，江苏省丹阳市人民医院主管技师，医学硕士，从事临床检验研究。
  • 基金资助:
    江苏省优势学科建设工程项目（YSHL0814-668）

Mechanisms of miRNA promoting invasion and metastasis in ovarian cancer

  1. 1.Department of Clinical Laboratory, the People′s Hospital of Danyang City, Jiangsu Province, Danyang 
    212300, China; 2.Department of Clinical Laboratory, the People′s Hospital of Haimen District, 
    Nantong City, Jiangsu Province, Nantong 226000, China

  • Online:2023-07-25 Published:2023-07-24

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摘要： 目的 探讨miRNA促进卵巢癌侵袭转移的机制。
方法 通过分析高通量基因表达数据库（gene expression omnibus，GEO）中GSE119055数据集卵巢癌的miRNA表达谱筛选差异miRNA，通过癌症基因组图谱计划（the cancer genome atlas program，TCGA）数据库筛选预后相关miRNA和预后差异基因；通过伤口愈合试验和Transwell方法检测预后相关miRNA异质性表达对卵巢癌细胞迁移和侵袭的影响；通过生物信息学网站Starbase预测预后相关miRNA和预后相关基因的靶向结合可能性。
结果 GSE119055数据集中差异miRNA为32个，上调miRNA为20个，下调miRNA为12个，其中预后相关miRNA为miR-187-3p和miR-381-5p。伤口愈合试验和Transwell结果表明，过表达miR-187-3p或抑制miR-381-5p均会显著抑制卵巢癌细胞的迁移和侵袭；Starbase预测结果表明，miR-187-3p和miR-381-5p的潜在靶基因为29个。
结论 卵巢癌预后的相关miRNA为miR-187-3p和miR-381-5p；miR-187-3p和miR-381-5p为促进侵袭转移潜在的靶基因，为卵巢癌的治疗提供了新的理论研究。


关键词: 卵巢肿瘤, 微RNAs, 预后

Abstract: Objective To investigate the mechanism of miRNA promoting invasion and metastasis of ovarian cancer. 
Methods By analyzing the miRNA expression profile of ovarian cancer in GSE119055 dataset of high-throughout gene expression omnibus (GEO), we screened the differential miRNAs. Prognostic miRNAs and prognostic differential genes were screened using the cancer genome atlas program (TCGA) database. The effect of heterogeneous expression of prognostic miRNA on the migration and invasion of ovarian cancer cells was detected by wound healing test and Transwell method. Bioinformatics website Starbase was used to predict the likelihood of targeted binding of prognosis related miRNAs and prognostic related genes. 
Results There were 32 differential miRNAs in the GSE119055 dataset, 20 up-regulated miRNAs and 12 down-regulated miRNAs, among which the prognostic related miRNAs were miR-187-3p and miR-381-5p. The results of wound healing test and Transwell showed that overexpression of miR-187-3p or inhibition of miR-381-5p could significantly inhibit the migration and invasion of ovarian cancer cells. Starbase predicted that there were 29 potential target genes of miR-187-3p and miR-381-5p. 
Conclusion miR-187-3p and miR-381-5p are associated with the prognosis of ovarian cancer. miR-187-3p and miR-381-5p provide a new theoretical basis for the treatment of ovarian cancer as potential target genes promoting invasion and metastasis.


Key words: ovarian neoplasms, microRNAs, prognosis

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