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Elevated mRNA Expression Levels of NCAPG are Associated with Poor Prognosis in Ovarian Cancer

Authors Xu T, Dong M, Wang Z, Li H, Li X

Received 10 March 2020

Accepted for publication 27 June 2020

Published 14 July 2020 Volume 2020:12 Pages 5773—5786

DOI https://doi.org/10.2147/CMAR.S253349

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Ahmet Emre Eskazan


Tao Xu,1,2,* Menglu Dong,1,* Zhi Wang,2 Hanning Li,1 Xingrui Li1

1Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People’s Republic of China; 2Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xingrui Li
Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430030, People’s Republic of China
Tel +86-27-8366 5317
Email lixingrui@tjh.tjmu.edu.cn

Background: Ovarian cancer is a major gynecologic malignancy that is often detected at a late stage due to the lack of detailed studies on its pathogenesis and reliable biomarkers for predicting its prognosis.
Materials and Methods: Four ovarian cancer data sets GSE18520, GSE27651, GSE40595, and GSE52037 were downloaded from the Gene Expression Omnibus (GEO) database and the robust rank aggregation approach was used to find common differentially expressed genes (DEGs). Cytoscape software was used to construct and detect key models of protein–protein interaction (PPI) network. While the expression, prognostic value and potential mechanism of the hub gene non-SMC condensin I complex subunit G (NCAPG) was carried out through Gene Expression Profiling Interactive Analysis, Kaplan–Meier plotter online dataset and gene set enrichment analysis. To further investigate the role of NCAPG in ovarian cancer, in vitro experiments were carried out.
Results: A total of 232 DEGs were identified in the four GEO datasets; and we detected 32 hub genes from the PPI network and 21 of these genes were associated with ovarian cancer prognosis, one of which was NCAPG. NCAPG was significantly upregulated in most of the ovarian cancer samples. High NCAPG expression was mainly involved in homologous recombination, DNA replication, proteasome, and more correlated pathways. NCAPG knockdown arrested the cell cycle, inhibited the proliferation, and attenuated the migration ability of A2780 cells. Meanwhile, silencing of NCAPG significantly promoted cisplatin-induced apoptosis thus increased the sensitivity to cisplatin.
Conclusion: NCAPG together with the other 31 hub genes play a vital role in the tumorigenesis of ovarian, meanwhile, the cell cycle pathway may be a potential pathway contributing to progression in OC; and NCAPG expression can be used as a promising target for the treatment of OC.

Keywords: ovarian cancer, bioinformatics analysis, GEO database, NCAPG

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