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پارمیس بشارتی تبریزی

Glioblastoma (GBM) continues to be recognized as one of the most aggressive and treatment-resistant malignancies, primarily attributable to the existence of glioblastoma stem-like cells (GSCs). GSCs play a critical role in therapeutic resistance, tumor recurrence, and unfavorable prognoses in the context of glioblastoma. This investigation employed a systems biology framework to elucidate the gene expression profiles of GSCs, with the objective of identifying prospective biomarkers and therapeutic targets aimed at enhancing glioblastoma treatment outcomes. Gene expression data were procured from the Gene Expression Omnibus (GEO) and subsequently analyzed utilizing the Transcription Analysis Console (TAC). Protein-protein interaction networks were constructed using STRING and subjected to analysis employing centrality and visualization tools. The cluster analysis of the protein-protein interaction network revealed key genes within each module. Pathway enrichment analysis was conducted utilizing Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The prognostic relevance of selected genes was evaluated through survival analysis via GEPIA. A total of 1840 genes exhibited differential expression between GSCs and differentiated glioblastoma cells (DGCs). Centrality analysis pinpointed critical hub genes, including STAT1, NFKB1, PTEN, and CD44, which were associated with the maintenance of GSCs and the progression of tumors. Further cluster analysis of the PPI network segmented the network into four functional modules, underscoring the NF-κB, PI3K/AKT, and JAK/STAT pathways, which are essential for the survival of GSCs and evasion of the immune response. The outcomes of this investigation highlight high-centrality genes within the PPI network that are fundamental to the resistance and progression of glioblastoma. The prior involvement of some of these hub genes in glioblastoma reinforces the significance of our findings, while other genes with limited previously reported information may represent potential novel biomarkers and therapeutic targets in the arena of glioblastoma.

Glioblastoma , Glioblastoma Stem-like cell , Hub genes , PPI network , Biomarker

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بشارتی تبریزی، پارمیس، 1404، شناسایی و اعتبار سنجی بیومارکر های پتانسیلی تشخیصی در تمایز یافتگی گلایوبلاستوما : ( با رویکرد بیولوژی سیستمی)، کنگره بین المللی زیست پزشکی سرطان و سلولهای بنیادی، http://conf.sums.ac.ir/fa/archive_index.php?c=HN-icsbc1&aid=1514241