A detailed in-silico analysis of potential gastric cancer molecular marker genes in the literature Online publication date: Fri, 13-May-2022
by Sedef Hande Aktas; Dilara Fatma Akin-Bali; Ozan Yazici
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 25, No. 3/4, 2021
Abstract: Genes found extremely important for the diagnosis and prognosis of Gastric Cancer (GC) in the literature between 2015 and 2020 were analysed in detail by in-silico methods. Thereby, broadly-based analysis of the genes was performed for future studies of GC. For this purpose, expression, pathological stage, Overall Survival (OS) and Disease Free Survival (DFS) plots were carried out with GEPIA web tool. PolyPhen-2 and SNAP tools were used to detect pathogenic impact of the mutations. As a result, COL10A1, SOX9, MTBP, CCL5, PSMB8 and PBK genes were found significant to distinguish individuals with GC from healthy individuals. PCDH9 and HGF genes were found significant for both OS and DFS. METTL3, COL10A1, USP3, CCL5, IMP3, CXCR6, PBK, HGF, MRC1, CD163, SSP1 genes were found correlated with the stage of GC. Effect of the mutations of PCDH9 and HGF genes, especially on the Kringle domain of HGF gene, were found pathogenic.
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