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Long non-coding RNA FLJ33360 participates in ovarian cancer progression by sponging miR-30b-3p

Authors Yang M, Zhai Z, Guo S, Li X, Zhu Y, Wang Y

Received 16 February 2019

Accepted for publication 17 May 2019

Published 7 June 2019 Volume 2019:12 Pages 4469—4480

DOI https://doi.org/10.2147/OTT.S205622

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Ms Shreya Arora

Peer reviewer comments 2

Editor who approved publication: Dr Takuya Aoki


Meiqin Yang,1 Zhensheng Zhai,2 Shuang Guo,1 Xiaoxi Li,1 Yongxia Zhu,1 Yue Wang1

1Department of Gynecology and Obstetrics, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou 450000, Henan, People’s Republic of China; 2Department of Hepato-Biliary-Pancreatic Surgery, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzho 450000, Henan, People’s Republic of China

Background: Long noncoding RNAs (lncRNAs) have been reported to play a key role in the development and progression of human malignancies. FLJ33360 is an lncRNA with unknown functions. This study was designed to determine the clinical significance and mechanism of FLJ33360 in ovarian cancer.
Materials and methods: The clinical significance of FLJ33360 in ovarian cancer was determined using the Gene Expression Profiling Interactive Analysis (GEPIA) database, Kaplan-Meier Plotter database, quantitative reverse transcription polymerase chain reaction (qRT-PCR) and statistical analysis. The regulatory relationships between FLJ33360 and miR-30b-3p were explored through bioinformatics, the Gene Expression Omnibus (GEO) database, the ArrayExpress database and meta-analysis. The possible pathways were predicted using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. In addition, the key target genes were identified using a protein-protein interaction (PPI) network, the Cancer Genome Atlas (TCGA) database, and correlation analysis.
Results: FLJ33360 expression was significantly downregulated in ovarian cancer tissue (P=0.0011) and was closely associated with International Federation of Gynecology and Obstetrics (FIGO) stage (P=0.027) and recurrence (P=0.002). FLJ33360 may have potential value in detecting ovarian cancer (area under the curve =0.793). Function analysis demonstrated that FLJ33360 can act as a molecular sponge of miR-30b-3p to regulate the expression of target genes that are mainly involved in positive regulation of smooth muscle cell migration, the unsaturated fatty acid metabolic process, and positive regulation of the epithelial to mesenchymal transition. Among these target genes, BCL2 is the hub gene.
Conclusion: FLJ33360 is a potential biomarker for early diagnosis and prognostic assessment in ovarian cancer and may regulate the expression of genes by sponging miR-30b-3p and thus participate in the development of ovarian cancer.

Keywords: ovarian cancer, long noncoding RNAs, FLJ33360, miR-30b-3p, bioinformatics analysis, meta-analysis

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