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Published on: January 12, 2020
Identification of Key Genes and Pathway for Ovarian Neoplasms Using the OVDM1 Cell Line Based on Bioinformatics
Songna Yin1, Juan Du1, Jie Zhang1
1Medical School, Yan'an University, Yan'an, Shaanxi, China (mainland).
Abstract:
BACKGROUND Ovarian neoplasms are the fifth most common cancer affecting the health of women, and they are the most lethal gynecologic malignancies; however, the etiology of ovarian neoplasms remains largely unknown. There is an urgent need to further broaden the understanding of the development mechanism of ovarian neoplasms through in vitro research using different cell lines. MATERIAL AND METHODS To screen the differentially expressed genes (DEGs) that may play critical roles in OVDM1 (an ovarian cancer cell line), the public microarray data (GSE70264) were downloaded and screened for DEGs. Then, Gene Ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed. To screen hub genes, the protein-protein interaction network was constructed. The expression level and survival analysis of hub genes in patients with ovarian neoplasms were also analyzed. RESULTS There were 79 upregulated and 926 downregulated DEGs detected, and the biological processes of the GO analysis were enriched in extracellular matrix organization, extracellular structure organization, and chromosome segregation, whereas, the KEGG pathway analysis was enriched in cell cycle and cell adhesion molecules. The hub gene BIRC5, which might play a key role in ovarian neoplasms, was further screened. CONCLUSIONS The present study could deepen the understanding of the molecular mechanism of ovarian neoplasms using the OVDM1 cell line, which could be useful in developing clinical treatments of ovarian neoplasms.
Insights
This study identified key genes involved in ovarian cancer development using the OVDM1 cell line. The findings enhance understanding of ovarian neoplasms and may aid in future clinical treatments.
Area of Science:
- Genomics and Molecular Biology
- Oncology
- Bioinformatics
Background:
- Ovarian neoplasms are a leading cause of cancer death in women, with largely unknown etiology.
- Understanding the molecular mechanisms of ovarian cancer is crucial for developing effective treatments.
- In vitro research using ovarian cancer cell lines is essential for mechanistic studies.
Purpose of the Study:
- To identify differentially expressed genes (DEGs) in the OVDM1 ovarian cancer cell line.
- To elucidate the biological processes and pathways involved in ovarian neoplasm development.
- To screen for hub genes that may play critical roles in ovarian cancer.
Main Methods:
- Downloaded and analyzed public microarray data (GSE70264) to identify DEGs in OVDM1 cells.
- Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.
- Constructed a protein-protein interaction network to screen for hub genes and analyzed their expression and survival data.
Main Results:
- Identified 79 upregulated and 926 downregulated DEGs.
- GO analysis revealed enrichment in extracellular matrix organization and chromosome segregation.
- KEGG pathway analysis highlighted enrichment in cell cycle and cell adhesion molecules, with BIRC5 identified as a potential key hub gene.
Conclusions:
- The study provides insights into the molecular mechanisms of ovarian neoplasms using the OVDM1 cell line.
- The identified DEGs and hub gene BIRC5 may contribute to ovarian cancer development.
- Findings could inform the development of novel clinical strategies for treating ovarian neoplasms.
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