A detailed in-silico analysis of potential gastric cancer molecular marker genes in the literature

AKTAŞ S. H., Akin-Bali D. F., YAZICI O.

International Journal of Data Mining and Bioinformatics, vol.25, no.3-4, pp.201-215, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 3-4
  • Publication Date: 2021
  • Doi Number: 10.1504/ijdmb.2021.122861
  • Journal Name: International Journal of Data Mining and Bioinformatics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, BIOSIS, Biotechnology Research Abstracts, Communication Abstracts, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.201-215
  • Keywords: gastric cancer, molecular marker, PCDH9, HGF, Kringle domain, SOX9, CCL5, PSMB8, PBK, METASTASIS, EXPRESSION, SURGERY, RNA
  • Gazi University Affiliated: Yes


© 2021 Inderscience Enterprises Ltd.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.