Abstract
Background
Neuroblastoma (NB) is an embryonic malignant tumor that occurs in the sympathetic nervous system. The treatment effect of patients in the high-risk group is poor, and relapse and treatment failure can occur even with multiple combination treatments. MYCN is an independent prognostic factor for NB, and the proportion of MYCN amplification in tumor tissues of high-risk patients reaches 40-50%. Hence, exploring new MYCN targeting molecules is a meaningful way to treat high-risk NB patients.
Methods
The microarray datasets were obtained from Gene Expression Omnibus, and differentially expressed genes were identified. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and miRPathDB were used for function and pathway analysis. The STRING and Cytoscape were used to construct a protein-protein interaction network and modular analysis. The miRNet and NetworkAnalyst databases were used to predict and construct target gene-miRNA and target gene-TF networks. The R2 database was used for expression, correlation, and prognosis analysis. The diagnostic effect of the biomarkers was predicted by ROC analysis, and rt-PCR was used to verify the hub genes. Finally, used specific siRNA and plasmid to knockdown and overexpressed MYCN, the mRNA levels were verified.
Results
We identified 431 DEGs and FBXO9, HECW2, MIB2, RNF19B, RNF213, TRIM36, and ZBTB16 as novel biomarkers that affect the prognosis of the NB patients. In addition, FBXO9, RNF19B, and TRIM36 were preliminarily confirmed to be potential targeting molecules of MYCN.
Conclusions
Our results are expected to become novel biomarkers for the treatment of high-risk NB patients.