مقالات پذیرفته شده در هشتمین کنگره بین المللی زیست پزشکی
In Silico Identification of Potential Key Genes as Candidate Colorectal Cancer Biomarkers
In Silico Identification of Potential Key Genes as Candidate Colorectal Cancer Biomarkers
Fatemeh khara,1,*Zohreh Izadidastenaei,2
1. Department of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran 2. Nursing Ph.D Student, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
Introduction: Colorectal cancer (CRC) is a serious health problem around the world. It ranks among the top three most common cancers globally (1). CRC represents the second most prevalent cause of cancer-related mortality on a global scale. An estimated 1.9 million new CRC diagnoses and over 930,000 CRC-induced deaths transpired worldwide in the year 2020 (2). Data from the Iranian National Population-based Cancer Registry (INPCR) projects a significant rise in new CRC cases in Iran. Their report suggests a 54.1% increase, from 11,558 cases in 2016 to an estimated 17,812 cases by 2025 (3). CRC encompass a spectrum of complex malignancies characterized by a heterogeneous landscape of genetic alterations and diverse molecular pathways (4). In this study, we aim to identify the colorectal cancer’s key genes and look into their underlying molecular mechanisms
Methods: In the current study, two microarray dataset (GSE41258, GSE68468) were downloaded from the Gene Expression Omnibus database (GEO). The fold change (FC) values of individual gene levels were calculated; differentially expressed genes (DEGs) with |FC| > 1 and P-value < 0.05 were considered to be significant. The Venn diagram was carried out for the overlapped part via Funrich software.
Results: A total of 244 overlapped upregulated genes and 450 downregulated genes were identified, and 10 hub genes were selected for each of up and down genes. Analysis showed that up-regulated hub genes involve in the wound healing, cell motility, anti-apoptosis and immune response. Down-regulated hub genes mainly associate with spindle assembly, cell communication, signal transduction, cell growth and protein metabolism.
Conclusion: Our study suggests that UBE2C, KIF20A, MELK, NEK2, AURKA, FGF2, COL1A2, IGF1, MMP9 and ABL may be potential biomarkers and therapeutic targets for CRC.