Identification of peripheral blood mononuclear cell gene signatures for detection of hepatocellular carcinoma

سال انتشار: 1400
محل انتشار: اولین همایش بین المللی و دهمین همایش ملی بیوانفورماتیک ایران
کد COI اختصاصی: IBIS10_008
زبان مقاله: انگلیسی
تعداد مشاهده: 177

نویسندگان

Bioinformatics and Computational Omics Lab(BioCOOL), Department of Biophysics, Faculty ofBiological Sciences, Tarbiat Modares University, Tehran, Iran

Anna Meyfour

Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Center for Gastroenterology and Liver Diseases, Shahid Beheshti University, Tehran, Iran

Javad Zahiri

Department of Neurosciences, University of California, San Diego, CA, USA

چکیده

Liver cancer is ranked sixth among the most frequently occurring cancers for both sexes worldwide in ۲۰۲۰and the third leading cause of cancer deaths following lung and colorectal cancers. Hepatocellular carcinoma(HCC) is liver cancer's most common primary malignancy and accounts for ~۹۰% of cases. Currentlyavailable diagnostic methods for HCC exhibit a relatively moderate sensitivity of ۶۰%, therefore introducinggene signatures for the disease diagnosis seems necessary. The gene expression profile of peripheral bloodmononuclear cells (PBMCs) has shown an alteration in the case of malignancies such as different types ofcancer. In this study, we aim to detect the gene signatures of PBMCs that could distinguish HCC cases fromhealthy controls by analyzing multiple datasets retrieved from GEO database. Differentially expressed genes(DEGs) were determined using Limma package in R-۴.۱.۰. A total of ۱۱ genes, including ۹ upregulated and۲ downregulated, were determined as DEGs based on the defined criteria. DAVID online tool was thenutilized for enrichment analysis of DEGs. Several signaling pathways such as Toll-like receptor, NOD-likereceptor, TNF signaling pathways, and pathways in cancer were enriched. These genes were also able toclassify HCC from healthy controls with an accuracy of ۹۳%. The results demonstrate PBMCs containpromising gene signatures that could shed light on the mechanism of the disease, leading to the introductionof a non-invasive diagnostic panel and/or therapeutic targets.

کلیدواژه ها

Hepatocellular carcinoma; Cancer; Microarray, Differential expression, DEG, Gene signature

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