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鉴定高级别浆液性卵巢癌转移中的 lncRNA 相关 ceRNA 网络。

Identification of lncRNA-associated ceRNA network in high-grade serous ovarian cancer metastasis.

机构信息

Department of Obstetrics & Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Trauma Center, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

出版信息

Epigenomics. 2020 Jul;12(14):1175-1191. doi: 10.2217/epi-2020-0097. Epub 2020 May 28.

Abstract

To uncover a novel lncRNA-miRNA-mRNA network associated with high-grade serous ovarian cancer metastasis. The candidate differentially expressed lncRNAs were obtained from RNA-sequencing data and determined by functional experiments. The downstream miRNAs and mRNAs were identified by bioinformatic prediction and subjected to functional enrichment analysis. The expression levels of lncRNA were reduced in omental metastatic tissues. Similar differential expression patterns of these lncRNAs were also found in lnCAR database and we verified their tumor suppressive roles by performing functional experiments. Furthermore, we predicted miRNAs and mRNAs via bioinformatic tools and validated their alteration in expression levels in presence of lncRNA interference. We proposed a potential ceRNA regulatory mechanism in high-grade serous ovarian cancer omental metastasis.

摘要

为了揭示与高级别浆液性卵巢癌转移相关的新型 lncRNA-miRNA-mRNA 网络。我们从 RNA-seq 数据中获得候选差异表达的 lncRNAs,并通过功能实验进行验证。通过生物信息学预测确定下游 miRNA 和 mRNAs,并进行功能富集分析。lncRNA 的表达水平在腹膜转移组织中降低。在 lnCAR 数据库中也发现了这些 lncRNAs 的相似差异表达模式,我们通过功能实验验证了它们的肿瘤抑制作用。此外,我们通过生物信息学工具预测了 miRNA 和 mRNAs,并在 lncRNA 干扰存在的情况下验证了它们表达水平的改变。我们提出了高级别浆液性卵巢癌腹膜转移中潜在的 ceRNA 调控机制。

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