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Screening the molecular targets of ovarian cancer based on bioinformatics analysis
Lei Du1, Xiaolei Qian, Chenyang Dai
1Department of Gynecology, the International Peace Maternity and Child Health Hospital of China Welfare Institute, Shanghai - China.
Aims And Background:
Ovarian cancer (OC) is the most lethal gynecologic malignancy. This study aims to explore the molecular mechanisms of OC and identify potential molecular targets for OC treatment.
Methods And Study Design:
Microarray gene expression data (GSE14407) including 12 normal ovarian surface epithelia samples and 12 OC epithelia samples were downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) between 2 kinds of ovarian tissue were identified by using limma package in R language (|log2 fold change| gt;1 and false discovery rate [FDR] lt;0.05). Protein-protein interactions (PPIs) and known OC-related genes were screened from COXPRESdb and GenBank database, respectively. Furthermore, PPI network of top 10 upregulated DEGs and top 10 downregulated DEGs was constructed and visualized through Cytoscape software. Finally, for the genes involved in PPI network, functional enrichment analysis was performed by using DAVID (FDR lt;0.05).
Results:
In total, 1136 DEGs were identified, including 544 downregulated and 592 upregulated DEGs. Then, PPI network was constructed, and DEGs CDKN2A, MUC1, OGN, ZIC1, SOX17, and TFAP2A interacted with known OC-related genes CDK4, EGFR/JUN, SRC, CLI1, CTNNB1, and TP53, respectively. Moreover, functions about oxygen transport and embryonic development were enriched by the genes involved in the network of downregulated DEGs.
Conclusions:
We propose that 4 DEGs (OGN, ZIC1, SOX17, and TFAP2A) and 2 functions (oxygen transport and embryonic development) might play a role in the development of OC. These 4 DEGs and known OC-related genes might serve as therapeutic targets for OC. Further studies are required to validate these predictions.
Insights
This study identified 1136 differentially expressed genes (DEGs) in ovarian cancer (OC), revealing potential therapeutic targets like OGN, ZIC1, SOX17, and TFAP2A. These genes and functions related to oxygen transport and embryonic development may be crucial for OC development.
Area of Science:
- Genomics
- Oncology
- Bioinformatics
Background:
- Ovarian cancer (OC) is a highly lethal gynecologic malignancy.
- Understanding OC's molecular mechanisms is crucial for developing effective treatments.
Purpose of the Study:
- To explore the molecular mechanisms underlying ovarian cancer.
- To identify potential molecular targets for OC treatment.
Main Methods:
- Gene expression data from 12 normal and 12 OC ovarian surface epithelia samples were analyzed.
- Differentially expressed genes (DEGs) were identified using limma package in R.
- Protein-protein interaction (PPI) networks were constructed and analyzed using Cytoscape and DAVID for functional enrichment.
Main Results:
- A total of 1136 DEGs were identified (592 upregulated, 544 downregulated).
- Key DEGs (CDKN2A, MUC1, OGN, ZIC1, SOX17, TFAP2A) showed interactions with known OC-related genes.
- Enriched functions for downregulated DEGs included oxygen transport and embryonic development.
Conclusions:
- OGN, ZIC1, SOX17, and TFAP2A, along with oxygen transport and embryonic development functions, are proposed to play a role in OC development.
- These identified DEGs and associated genes represent potential therapeutic targets for ovarian cancer.
- Further research is needed to validate these findings and their therapeutic potential.
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