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ABSTRACT: Background
Neuroblastoma (NB) is the most common solid tumor in children, characterized by high recurrence rates, drug resistance, and significant mortality.Methods
In this study, we analyzed the proteomic profiles of NB tissue samples alongside other pathological categories, including ganglioneuroma (GN) and ganglioneuroblastoma (GNB). Using weighted gene co-expression network analysis (WGCNA), the core prognostic gene models associated with histopathology of NB were identified. Furthermore, by mapping our core prognostic gene models onto drug-perturbed transcriptome profiles from the L1000FWD and CMap databases, repurposing drug candidates were screened and validated for NB.Results
Our proteomic analysis reveals that pathways associated with the cell cycle and DNA
SUBMITTER: Liu Z
PROVIDER: S-EPMC11866834 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature