مقالات پذیرفته شده در هفتمین کنگره بین المللی زیست پزشکی
Predicting the interaction of miR-122-5p and EZH2 in liver cancer through bioinformatics analysis
Predicting the interaction of miR-122-5p and EZH2 in liver cancer through bioinformatics analysis
Setareh Arjmanddoost,1,*Fatemeh Babaie Dehaghi,2Ahmad Mahmoudi Renani,3
1. MSc Student, Department of Genetics, Faculty of Science, Shahrekord University, Shahrekord, Iran 2. Department of veterinary laboratory sciences, Kordestan University, Sanandaj, Iran
Introduction: Primary liver cancer is the second leading cause of cancer-related death worldwide and
therefore a major public health challenge. Primary liver cancer comprises hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (iCCA), and other rare tumors, notably fibrolamellar carcinoma and hepatoblastoma (1). Liver is the major metabolic center for both carbohydrate and lipid, thereby maintaining glucose homeostasis (2). With the advances in high-throughput profiling techniques and the availability of public data sets such as The Cancer Genome Atlas Program (TCGA), a broad range of coding transcripts have been profiled and their underlying modes of action have been mapped(3).mir122-5p has unique potential as a prognostic biomarker in liver cancer. Mir 122-5p has significantly increased expression in Liver cancer tumor tissue (4). The regulation of many pathways in cell biology is regulated by miRNAs. Obtaining miRNA target genes is effective for negative regulation of this pathways and can also help to understand the regulatory mechanism and gene therapy of cancer. The EZH2 gene, which is expressed in various solid tumors, including liver cancer, can regulate gene transcription and promote the generation and progression of tumors. Our aim was to investigate the relationship between EZH2 and multidrug-resistance of human hepatic cancer cells using RNA interference (5).
Methods: In this project, after miRNA target gene prediction by mirwalk database, we analyzed TCGA RNA-seq data and predicted gene expression patterns.
Results: The results showed that EZH2 with a high score in the CDS is targeted by miR-122-5p. Also, the results of TCGA data analysis showed that the expression level of this gene in Liver cancer tumor tissue was significantly Increase.
Conclusion: Predictions showed that increasing the expression of miR-122-5p causes a decrease in EZH2 expression in liver cancer. It is also predicted that the increase in the expression of EZH2, in addition to the role of a biomarker in the diagnosis of liver cancer, can be a factor in the development of liver cancer and the activation of the pathway.