Long Non-coding RNA UCA1 Regulates SRPK1 Expression Through miR- 99b-3p in Ovarian Cancer.
SRPK1
UTR
gynecological malignancy
lncRNA UCA1
miR-99b-3p
ovarian cancer
Journal
Protein and peptide letters
ISSN: 1875-5305
Titre abrégé: Protein Pept Lett
Pays: Netherlands
ID NLM: 9441434
Informations de publication
Date de publication:
2022
2022
Historique:
received:
23
02
2022
revised:
10
04
2022
accepted:
20
04
2022
pubmed:
8
7
2022
medline:
16
11
2022
entrez:
7
7
2022
Statut:
ppublish
Résumé
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. In this article, our motivation is to explore the lncRNA-related network mechanisms involved in the pathogenesis of OC. 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. 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. 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.
Sections du résumé
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.
CONCLUSION
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.
Identifiants
pubmed: 35794743
pii: PPL-EPUB-124977
doi: 10.2174/0929866529666220704122019
doi:
Substances chimiques
RNA, Long Noncoding
0
MicroRNAs
0
RNA, Messenger
0
SRPK1 protein, human
EC 2.7.1.-
Protein Serine-Threonine Kinases
EC 2.7.11.1
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
829-838Subventions
Organisme : Foundation of Science Technology Department of Zhejiang Province, China, Social Development Projects
ID : LGF21C050001
Informations de copyright
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.