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INTERNATIONAL CONGRESS OF

CancerGenetics

• Overexpression of TOP2A and RRM2 as a potential factor in colorectal cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.

• Marziyeh Sadat Musavi Babukabi,^1,* Abolghasem esmarili,²
  1. Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan
  2. Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan
  
  
  
• Introduction: Glioblastoma multiforme (GBM) is the most common and aggressive and yet the rarest brain tumor. 90% of glioblastomas are of primary type (IDH wide type GBM) which is usually in elderly people, but secondary glioblastoma (IDH mutant GBM) is usually in people It happens young. The rate of progression and spread of secondary glioblastoma is higher than the primary state. Genetic changes such as the role of lncRNAs and changes in signaling and molecular pathways such as metabolic pathways can be mentioned among the factors that cause glioblastoma.
• Methods: The significance of gene expression in glioblastoma was analyzed by analyzing raw data (GSE4290) from the Gene Expression Omnibus (GEO) database and then by GEO2R to find differentially expressed genes (DEGs) and also from the databases miRWalk, KEGG PATHWAY, lncBase v.3, STRING , GeneCards were used.
• Results: TOP2A gene with logFC= 5.911, which has the highest expression change among the genes related to this disease, together with RRM2 gene with logFC= 4.27 can be effective in gastric cancer and regulate the progress of this disease. Using the KEGG PATHWAY database, it was found that Metabolic pathways (Glucose metabolism in Brain tumor cells differs from normal cells) and p53 signaling pathways for these two genes can be effective in this disease by influencing these signaling pathways. Then miRWALK was used to find miRNAs and hsa-miR-885-3p and hsa-miR-145-5p were selected for TOP2A and RRM2 genes, respectively. After that, the lncbase v.3 databases were used to find lncRNAs and respectively NEAT1 and A1BG-AS1 were found for miRNAs that had strong interaction. GeneCards was also used to validate the selected lncRNAs. STRING was used to find the interaction between the proteins of these two genes and other proteins, and these two proteins interact with other proteins such as RRM2B.
• Conclusion: According to these findings, it can be concluded that the higher expression of TOP2A and RRM2 genes and the effect on the p53 signaling pathway and metabolic pathways, as well as the creation of a possible ceRNA regulatory network between miRNAs and lncRNAs and their regulatory effect on the mRNA of these genes, can cause glioblastoma.
• Keywords: Glioblastoma, miRNAs, lncRNAs, p53 signaling pathway