Long Non-coding RNA UCA1 Regulates SRPK1 Expression Through miR- 99b-3p in Ovarian Cancer

Author:

Jiang Zheng-Gang1,Ding Xian-Feng2ORCID,Xu Juan2,Zheng Liu-hong2,Hong Yi-nuo2,Xuan Cheng2,Yan Shu-ling2,Lv Guo-Liang3

Affiliation:

1. Department of Science Research and Information and Management, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China

2. College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China

3. Library of Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China

Abstract

Background: Ovarian carcinoma (OC) is one of the most common malignancies of the female reproductive organs, with a low survival rate primarily due to the lack of effective methods for early diagnosis and prognosis. Objective: In this article, our motivation is to explore the lncRNA-related network mechanisms involved in the pathogenesis of OC. Methods: Public lncRNAs and mRNA expression datasets for OC were collected from the Gene Expression Omnibus (GEO) database. By integrated bioinformatics analysis, we constructed a UCA1-miRNA-mRNA network. We studied lncRNA-related molecular modulation mechanism in ovarian cancer cells based on MTT assay, dual luciferase reporter gene assays, quantitative realtime PCR, and western blotting. Results: UCA1 was higher in ovarian tumor tissues and cells than normal tissues and cells. It was demonstrated in this study that knockdown of UCA1 inhibited ovarian cancer cell viability, which a miR-99b-3p inhibitor could reverse in vitro. Further, UCA1 was shown to regulate the expression of SRPK1 by directly binding to miR-99b-3p. Conclusions: These results suggest that UCA1 functions as an oncogene in ovarian cancer. Inhibition of UCA1/miR-99b-3p/SRPK1 axis may become a novel target for treating ovarian cancer.

Funder

Foundation of Science Technology Department of Zhejiang Province, China, Social Development Projects

Publisher

Bentham Science Publishers Ltd.

Subject

Biochemistry,General Medicine,Structural Biology

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