Evidence map›Paper›PMID 32765080›Full record

ArticleCancer management and research2020

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

Tao Xu, Menglu Dong, Zhi Wang, Hanning Li, Xingrui Li

Open access · goldAbstract read
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Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Tao Xu *Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People's Republic of China.
Menglu Dong *Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People's Republic of China.
Zhi WangDepartment of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People's Republic of China.
Hanning LiDepartment of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People's Republic of China.
Xingrui LiDepartment of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei 430030, People's Republic of China.
Tongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian 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

methodsFour 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.

resultsA 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.

conclusionNCAPG 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.

Indexed as

bioinformatics analysisGEO databaseNCAPGovarian cancer

Identifiers

PMID32765080
PMCPMC7369365
OpenAlexW3042042542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.