Bioinformatics Study of the Microarray Data Set of Ovarian Carcinoma in Cattle | ||||
| Zagazig Veterinary Journal | ||||
| Volume 52, Issue 3, September 2024, Page 367-379 PDF (716.45 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/zvjz.2024.296573.1243 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Iman E ElAraby; Aymen A Saleh; Asmaa W Zaghlol; Noura Hussien 
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| Department of Genetics and Genetic Engineering, Faculty of Vet. Medicine, Zagazig University, Zagazig, Egypt | ||||
| Abstract | ||||
| Ovarian tumor is one of the gynecological tumors that have a poor prognosis, especially in domestic animals. Animals frequently develop ovarian tumors, and most of these cases affect cows. It is considered the most common malignant gynecologic tumor with complex etiology. The scientific community has recently been able to conduct research on prognostic markers, prospective therapeutic targets, and ways to improve treatment outcomes thanks to the amazing advancements in bioinformatics. In the current study we used some of bioinformatics tools as Gene Expression Omnibus (GEO) database, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Cytoscape and STRING to discover the hub genes associated with the prognosis of ovarian cancers. Through the gene expression profile (GSE225981) between tumor tissue and normal tissue we found that the top upregulated hub gene involved in ovarian cancer was ESR1 gene and top downregulated hub gene was ITGA2. Complement and coagulation cascades were the most implicated pathways in ovarian tumor. Study these genes will help in reaching to know the candidate gene that responsible for ovarian cancer so found targeted treatments and lower the death rate of affected animals. | ||||
| Keywords | ||||
| Ovarian tumor; hub genes; bioinformatics; tumors; GEO | ||||
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