Network Analysis of Differential Gene Expression to Identify Hub Genes in Ovarian Cancer

Journal of Cell and Molecular Research

مقاله 1، دوره 12، شماره 1 - شماره پیاپی 23، آذر 2020، صفحه 1-9   

نوع مقاله: Research Articles

شناسه دیجیتال (DOI): 10.22067/jcmr.v12i1.85654

نویسندگان

Akram Siavoshi¹؛ Mahdieh Taghizadeh²؛ Elahe Dookhe³؛ Mehran Piran⁴؛ Mahsa Saliani⁵؛ Shahla Mohammad Ganji^{* 6}

¹Department of Biology, Sinabioelixir Group, Alborz Health Technology Development Center, Tehran, Iran

²Department of Medical Genetic, Tarbiat Modares University, Tehran, Iran

³Department of Biology, Research and Science Branch, Islamic Azad University, Tehran, Iran

⁴Department of Medical Biotechnology, Drug Design and Bioinformatics Unit, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran

⁵Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran

⁶Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran

چکیده

     Epithelial ovarian cancer (EOC), as a challenging disease among women with poor prognosis and unclear molecular pathogenesis, each year is responsible for 140000 deaths globally. Recent progress in the field revealed the importance of proteins as key players of different biological events. Considering the complicated protein interactions, taking a deeper look at protein-protein interactions (PPIs) could be considered as a superior strategy to unravel complex mechanisms encountered with regulatory cell signaling pathways of ovarian cancer. Hence, PPI network analysis was performed on differentially expressed genes (DEGs) of ovarian cancer to discover hub genes which have the potential to be introduced as biomarkers with clinical utility. A PPI network with 600 DEGs was constructed. Network topology analysis determined UBC, FN1, SPP1, ACTB, GAPDH, JUN, and RPL13A, with the highest Degree (K) and betweenness centrality (BC), as shortcuts of the network. KEGG pathway analysis showed that these genes are commonly enriched in ribosome and ECM-receptor interaction pathways. These pivotal hub genes, mainly UBC, FN1, RPL13A, SPP1, and JUN have been reported previously as potential prognostic biomarkers of different types of cancer. However, further experimental molecular studies and computational processes are required to confirm the function and association of the identified hub genes with epithelial ovarian cancer prognosis.

کلیدواژه‌ها

Biology؛ Epithelial Ovarian Cancer؛ English؛ Genomics؛ Differentially Expressed Gene Analysis؛ cancer؛ PPI Network Analysis؛ Pathway Enrichment Analysis

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