Integrated analysis of single‐cell sequencing and weighted co‐expression network identifies a novel signature based on cellular senescence‐related genes to predict prognosis in glioblastoma
Abstract:BackgroundGlioblastoma (GBM) is a highly aggressive cancer with heavy mortality rates and poor prognosis. Cellular senescence exerts a pivotal influence on the development and progression of various cancers. However, the underlying effect of cellular senescence on the outcomes of patients with GBM remains to be elucidated.MethodsTranscriptome RNA sequencing data with clinical information and single‐cell sequencing data of GBM cases were obtained from CGGA, TCGA, and GEO (GSE84465) databases respectively. Singl… Show more
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