CTGF, FN1, IL-6, THBS1, and WISP1 genes and PI3K-Akt signaling pathway as prognostic and therapeutic targets in gastric cancer identified by gene network modeling

• Published in: Discover. Oncology Vol. 15; no. 1; pp. 344 - 15
• Main Authors: Khoshdel, Farzane, Mottaghi-Dastjerdi, Negar, Yazdani, Fateme, Salehi, Shirin, Ghorbani, Abozar, Montazeri, Hamed, Soltany-Rezaee-Rad, Mohammad, Goodarzy, Babak
• Format: Journal Article
• Language: English
• Published: New York Springer US 12.08.2024; Springer Nature B.V; Springer
• Subjects: Analysis; Biological networks; Biomarker; Cancer Research; Cell cycle; Communications networks; Datasets; Differentially expressed genes; Epigenetics; Gastric cancer; Gene expression; Internal Medicine; Medical prognosis; Medicine; Medicine & Public Health; Molecular Medicine; Oncology; Patients; Proteins; Radiotherapy; Software; Surgical Oncology; Survival analysis; Therapeutic target; Biomarker; Differentially expressed genes; Biological networks; Gastric cancer; Therapeutic target
• ISSN: 2730-6011; 2730-6011
• DOI: 10.1007/s12672-024-01225-4

Objective Gastric cancer (GC) is one of the most common malignancies worldwide and it is considered the fourth most common cause of cancer death. This study aimed to find critical genes/pathways in GC pathogenesis to be used as biomarkers or therapeutic targets. Methods Differentially expressed genes were explored between human gastric cancerous and noncancerous tissues, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analyses were done. Hub genes were identified based on the protein–protein interaction network constructed in the STRING database with Cytoscape software. The hub genes were selected for further investigation using GEPIA2 and DrugBank databases. Results Ten overexpressed hub genes in GC were identified in the current study, including FN1, TP53, IL-6, CXCL5, ELN, ADAMTS2, WISP1, MMP2, CTGF, and THBS1. The study demonstrated the PI3K-Akt pathway's central involvement in GC, with pronounced alterations in essential components. Survival analysis revealed significant correlations between CTGF, FN1, IL-6, THBS1, and WISP1 overexpression and reduced overall survival times in GC patients. Conclusion A mutual interplay emerged, where PI3K-Akt signaling could upregulate certain genes, forming feedback loops and intensifying cancer phenotypes. The interconnected overexpression of genes and the PI3K-Akt pathway fosters gastric tumorigenesis, suggesting therapeutic potential. DrugBank analysis identified limited FDA-approved drugs, advocating for further exploration while targeting these hub genes could reshape GC treatment. The identified genes could be novel diagnostic/prognostic biomarkers or potential therapeutic targets for GC, but further clinical validation is required.