|Table of Contents|

Screening and analysis of differentially expressed genes in serous ovarian carcinoma based on bioinformation data mining

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2020 01
Page:
102-107
Research Field:
Publishing date:

Info

Title:
Screening and analysis of differentially expressed genes in serous ovarian carcinoma based on bioinformation data mining
Author(s):
Qi Boshuang; Lou Ge
Department of Gynecology，Harbin Medical University Cancer Hospital，Heilongjiang Harbin 150081，China.
Keywords:
ovarian cancer; differentially expressed genes; bioinformatics; BIRC5
PACS:
R737.31
DOI:
10.3969/j.issn.1672-4992.2020.01.026
Abstract:
Objective：To screen and analyze differentially expressed genes in serous ovarian carcinoma using bioinformatics，and to explore potential therapeutic targets for serous ovarian cancer.Methods：We download the ovarian cancer databases GSE10971，GSE54388，and GSE14407 from the GEO database.GEO2R was used to screen differentially expressed genes，DAVID database was used for GO and KEGG enrichment analysis.String database was used to construct protein interaction network，and Cytoscape was used to obtain critical genes.The GEPIA database analyzed the expression of essential genes，and the UCSC Xena performed hierarchical cluster analysis of crucial genes and analyzed the co-expression network of essential genes through the cBioPortal.Results：We obtained a total of 114 differentially expressed genes，including 41 down-regulated genes and 73 up-regulated genes.It mainly involved cytological processes such as cell cycle，mitosis，and chromosome separation，and enriched in signal pathways such as cell cycle，p53 signaling pathway，and Cellular senescence.We got forty-nine essential genes from differentially expressed genes，which highly represented in ovarian cancer.The expression of 21 genes was associated with ovarian cancer stage.The expression of BIRC5 gene was associated with the overall survival of ovarian cancer patients.Conclusion：The use of bioinformatics to study the differentially expressed gene function and signaling pathway in serous ovarian carcinoma provides a therapeutic target for improving the prognosis of ovarian serous carcinoma.

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Memo

Memo:
National Natural Science Foundation of China(No.81872507);国家自然科学基金资助项目（编号：81872507）
Last Update: 1900-01-01