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Identification of significant hub genes and pathways associated with metastatic breast cancer and tolerogenic dendritic cell via bioinformatics analysis. | LitMetric

Identification of significant hub genes and pathways associated with metastatic breast cancer and tolerogenic dendritic cell via bioinformatics analysis.

Comput Biol Med

Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Health Campus, 16150, Kubang Kerian, Kelantan, Malaysia. Electronic address:

Published: January 2025

AI Article Synopsis

  • Metastatic breast cancer (MBC) is a severe and often fatal form of breast cancer linked to over 90% of cancer deaths, with the role of tolerogenic dendritic cells (tolDCs) in its rapid progression still unclear.
  • The study uses bioinformatics to analyze gene expression data from MBC and tolDCs, identifying 529 upregulated and 367 downregulated common differentially expressed genes (DEGs) that are connected to the disease.
  • Among the 23 hub genes identified, 5 (3 upregulated: ISG15, OAS2, RSAD2; 2 downregulated: eEF2, PPARG) are significant for their correlation to MBC and may serve as potential therapeutic

Article Abstract

Metastatic breast cancer (MBC) is an advanced-stage breast cancer associated with more than 90 % of cancer-related deaths. Immunosuppressive properties of tolerogenic dendritic cells (tolDCs) in tumour immune microenvironment (TIME) may be a risk factor for the rapid progression to MBC. However, the exact connections between the two are unknown. The aim of the current study is to uncover gene signatures and key pathways associated with MBC and tolDCs via an integrated bioinformatics approach. Gene expression profiles of MBC and tolDCs were retrieved from Gene Expression Omnibus (GEO) to identify common differentially expressed genes (DEGs). From DGE analysis, 529 upregulated common DEGs and 367 downregulated common DEGs had been identified. In enrichment analysis, common DEGs enriched in GO terms of defense response to virus and KEGG pathway of transcriptional misregulation in cancer were reported to be significantly associated with MBC and tolDCs. From the constructed PPI networks, 23 hub genes were identified, although only 5 genes were significant; 3 upregulated (ISG15, OAS2 and RSAD2) and 2 downregulated (eEF2 and PPARG) as they were found to be significantly correlated and had the same expression trend as predicted in validation analysis of overall survival (OS) analysis, expression levels, immune infiltration analysis and immunohistochemistry (IHC) analysis. These 5 hub genes can now be exploited in developing novel therapeutic interventions and as diagnostic biomarkers for enhancing the clinical outcomes of MBC patients.

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Source
http://dx.doi.org/10.1016/j.compbiomed.2024.109396DOI Listing

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