Identification of TIG1 Associated Molecular Targets for Breast Cancer Using Bioinformatic Approach

Authors : Tuğcan Korak, Merve Gulsen Bal Albayrak, Gürler Akpınar, Murat Kasap

Pages : 1807-1817

Doi:10.37989/gumussagbil.1459020

View : 30 | Download : 22

Publication Date : 2024-12-25

Article Type : Research Paper

Abstract :e-posta/e-mail: [email protected]/[email protected] Kabul Tarihi/Accepted: Tazarotene-induced gene 1 (TIG1) is involved in modulating the α-tubulin modification and effectively inhibiting tumor growth. In this bioinformatics study, we aim to propose novel therapeutic targets in breast cancer by utilizing differentially expressed genes (DEGs) of TIG1 in inflammatory breast cancer (IBC) and examining their correlation with the molecular and immune subtypes. Using the GEO2R tool, we analyzed DEGs in the GSE30543 dataset, specifically comparing suppressed TIG1 groups with control samples from SUM149 cells. Functional annotation analysis of DEGs were explored using SRplot with data from STRING (|log2(FC)| >2 and p<0,05). Cytoscape software was used to construct intersected protein-protein interaction (PPI) network and define central genes. Subsequently, the molecular and immune subtype analysis were performed in TISIDB utilizing the identified hub genes. A total of 19 upregulated DEGs and 3 downregulated DEGs were identified in IBC and utilized to construct the STRING PPI network. GO analysis revealed that the biological functions of the identified DEGs primarily centered around the regulation of cell adhesion and migration. KEGG pathway analysis demonstrated their significant involvement in regulation of cell adhesion-related signaling pathways. Hub genes were identified as STAT3, PXDNL, FN1, CTNNB1, CD44, TNF, TP53, MMP9, SRC and INS. TISIDB analysis revealed significant correlations between all hub gene expressions and both the molecular subtypes (except for TP53) and immune subtypes of breast cancer (p<0,05). This study identified potential prognostic biomarkers for breast cancer based on the hub genes derived from TIG1-associated DEGs, indicating their potential use in targeted therapeutic approaches.
Keywords : Biyobelirteç, GEO, Meme kanseri, TIG1