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ABSTRACT: Background
Glioblastoma (GBM) is a highly aggressive brain tumor, characterized by genetic complexity and resistance to treatment. Despite significant advancements in cancer research, the mechanisms driving GBM progression remain poorly understood. This study investigates the molecular pathways associated with GBM, and focuses on long non-coding RNA H19 and its role in tumor growth and progression.Methods
Analysis of Gene Expression Omnibus (GEO) dataset was performed to identify differentially expressed genes in GBM cells with H19 overexpression, revealing serpin family E member 1 (SERPINE1) as a potential target. Bioinformatics analyses were used to evaluate the differential expression of H19 and SERPINE1 in GBM tissues, perform survival analysis, and predict miR-19b-3p a
SUBMITTER: Jang W
PROVIDER: S-EPMC12177970 | biostudies-literature | 2025 Jun
REPOSITORIES: biostudies-literature