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Bioinformatic Analysis for the Prognostic Implication of Genes Encoding Epithelial Sodium Channel in Cervical Cancer

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Author(s)
Changho SongYongho LeeShin Kim
Keimyung Author(s)
Kim, Shin
Department
Dept. of Immunology (면역학)
Journal Title
Int J Gen Med
Issued Date
2022
Volume
15
Keyword
sodium ion channelcervical cancersurvival outcomeENaC-encoding genes
Abstract
Background:
Cervical cancer is one of the leading causes of death in women. Among the sodium ion channels associated with cancer development, voltage gated sodium channel plays an important role in pathophysiology of cervical cancer; however, the clinicopathological implication of epithelial sodium channel (ENaC) has not been explored.

Purpose:
This study focused on identifying dysregulation of ENaC encoding genes, including SCNN1A, SCNN1B, and SCNN1G, and their relationship with clinicopathologic features in cervical cancer patients.
Materials and Methods: RNA sequencing data of ENaC-encoding genes, clinicopathologic data, and survival data of cervical cancer patients were obtained from The Cancer Genome Atlas cohort. Microarray data of ENaC-encoding genes were obtained from Gene Expression Omnibus datasets: GSE6791 and GSE63514.

Results:
The expression levels of SCNN1A, SCNN1B, and SCNN1G were positively correlated with each other. SCNN1A, SCNN1B, and SCNN1G are significantly overexpressed in normal tissues than in tumor tissues. Survival analysis showed that simultaneous overexpression of all three genes associated with better overall survival (OS). Each overexpression of SCNN1B and SCNN1G was significantly associated with better OS. Moreover, each expression level of SCNN1A, SCNN1B, and SCNN1G was negatively correlated with histologic grade of tumor.

Conclusion:
ENaC-encoding genes might be potential biological markers to better predict survival outcomes in cervical cancer patients.
Keimyung Author(s)(Kor)
김신
Publisher
School of Medicine (의과대학)
Citation
Changho Song et al. (2022). Bioinformatic Analysis for the Prognostic Implication of Genes Encoding Epithelial Sodium Channel in Cervical Cancer. Int J Gen Med, 15, 1777–1787. doi: 10.2147/IJGM.S346222
Type
Article
ISSN
1178-7074
Source
https://www.dovepress.com/bioinformatic-analysis-for-the-prognostic-implication-of-genes-encodin-peer-reviewed-fulltext-article-IJGM
DOI
10.2147/IJGM.S346222
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/44189
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Immunology (면역학)
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