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

Abstract

Aim: To uncover a novel lncRNA-miRNA-mRNA network associated with high-grade serous ovarian cancer metastasis. Material & methods: 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. Results: The expression levels of lncRNA ENTPD1-AS1/PRANCR/NR2F2-AS1 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. Conclusion: We proposed a potential ceRNA regulatory mechanism in high-grade serous ovarian cancer omental metastasis.

• Authors: Xi Li, Sihui Yu, Rui Yang, Qi Wang, Xiangnan Liu, Mingjun Ma, Yanli Li, Sufang Wu
• Journal: Epigenomics (Epigenomics) Vol. 12 Issue 14 Pg. 1175-1191 (07 2020) ISSN: 1750-192X [Electronic] England
• PMID: 32462930 (Publication Type: Journal Article)

Chemical References

• MicroRNAs
• RNA, Long Noncoding
• RNA, Messenger

Topics

• Cell Line, Tumor
• Computational Biology
• Female
• Gene Expression Regulation, Neoplastic
• Gene Regulatory Networks
• Humans
• MicroRNAs (genetics)
• Neoplasm Metastasis
• Omentum (pathology)
• Ovarian Neoplasms (genetics, pathology)
• RNA, Long Noncoding (genetics)
• RNA, Messenger (genetics)