Yunchang Yang, XiangXiang Cao, Nan Feng, Xinyao Kang, Yaofeng Wang, Yunqin Sun
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引用次数: 0
Abstract
Glioblastoma (GBM) is defined by extreme lethality and transcriptomic plasticity, but the signatures driving the most aggressive tumors remain incompletely defined. In this exploratory in silico study, TCGA-GBM patients were stratified using a strict 1-year overall survival threshold. We integrated differential expression analysis, WGCNA, single-cell RNA-seq, spatial transcriptomics, and virtual knockout simulations. A high-risk signature centered on CCL2 and TIMP1 was identified. Single-cell and spatial mapping linked these genes to an inflammatory, macrophage-enriched microenvironment. The signature inversely correlated with neuronal synapse mimicry scores, suggesting that extreme aggressiveness involves a macroscopic shift from differentiated neuronal states toward an undifferentiated inflammatory phenotype. Virtual perturbation modeling confirmed CCL2 and TIMP1 as highly interconnected network hubs. Despite limitations inherent to computational and retrospective cohorts, our rigorous multi-omics validation identifies the CCL2/TIMP1 axis as a driver of potential prognostic indicator. These findings generate the hypothesis that these mediators reflect a critical inflammatory, mesenchymal-like tumor microenvironment shift, warranting independent cohort validation and experimental investigation.
期刊介绍:
Cell Cycle is a bi-weekly peer-reviewed journal of high priority research from all areas of cell biology. Cell Cycle covers all topics from yeast to man, from DNA to function, from development to aging, from stem cells to cell senescence, from metabolism to cell death, from cancer to neurobiology, from molecular biology to therapeutics. Our goal is fast publication of outstanding research.