ArticleCancer genomics & proteomics
IL1B-Expressing Exhausted CD4
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimGlioblastomas (GBMs) are aggressive primary brain tumors characterized by immune evasion and therapeutic resistance. Here, we aimed to decipher the transcriptional landscape of disease aggressiveness in GBM by employing a multi-layered transcriptomic approach. MATERIALS AND
methodsWe performed transcriptome-wide differential expression analysis using TCGA IDH-wildtype GBM data after stratifying the tumors based on epithelial-mesenchymal transition (EMT) signature scores. Functional and pathway enrichment analyses, STRING-based protein-protein interaction (PPI) network assisted with centrality and random-walk analyses, univariate and multivariate Cox survival analyses, Gene Set Enrichment Analysis (GSEA), single-cell RNA (scRNA) sequencing analysis, CIBERSORTx immune deconvolution, and T cell exhaustion profiling were performed. Key findings were validated in independent datasets.
resultsWe identified 2088 protein-coding genes associated with disease aggressiveness in GBM. Among 1070 upregulated genes, 432 were risk-associated and enriched for immune-inflammatory pathways. Network analysis identified IL1B and CD4 as top hub genes, both of which were independently prognostic for poor overall survival. scRNA-seq analysis attributed CD4 expression to tumor-infiltrating T cells, more than half of which also co-expressed IL1B. CIBERSORTx deconvolution suggested progressive accumulation and exhaustion of CD4
conclusionCD4
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