Abstract
BackgroundGlioblastoma (GBM) is a malignant tumor with a short survival and poor prognosis and a lack of clinically validated biomarkers for diagnosis and prognosis. MethodsWe collected cerebrospinal fluid (CSF) samples and normal CSF sample from recurrent GBM patients and paired tissue samples. Methylation profiles of CSF circulating tumor DNA (ctDNA) and transcriptional profiles of tumor tissues were analyzed. The China Glioma Genome Atlas (CGGA) database and Gene Expression Omnibus (GEO) was used for data analysis. ResultsLasso analysis and multiplex Cox analysis were performed using intersecting genes of differentially methylated regions and differentially expressed genes. 8 hub genes were screened to construct diagnostic and prognostic models. Based on these 8 hub genes, the diagnostic (AUC = 0.944) and prognostic (3-years, AUC = 0.876) models were accurate. ConclusionsIn this study, 8 hub genes were identified for the diagnosis and prognosis of recurrent GBM, providing new biomarkers for the clinical study of recurrent GBM.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
