Prognostic Value of a Novel Multi-mRNA Signature for Predicting Disease Progression of Hepatoblastoma
2021
Hepatoblastoma is the most common tumor of liver in childhood. The onset of the disease is insidious, and
the early stage is mostly asymptomatic. About 20 % of the children had distant metastasis at diagnosis.
Only 50 %-60 % of the tumors can be completely resected by surgery, and the relapse percentage of
children who undergo surgical treatment alone is still high. Therefore, the aim was to conduct a multimessenger
RNA signature to improve hepatoblastoma progression prediction. Messenger RNA expression
profiling of Gene Expression Ominus dataset (GSE131329) was analyzed in a large hepatoblastoma cohort
and screened the significantly differential expressed Messenger RNAs between normal tissues and tumors.
Weighted correlation network analysis was used to select genes that correlated to disease progression. Data
fitting analysis was performed and three samples were removed from subsequent analyses in GSE131329.
A total of 1263 differentially expressed genes were screened, consisting 569 up-regulated genes and 694
down-regulated genes. Gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment
analyses were performed and by using weighted correlation network analysis, 8 hub genes were selected
and an 8-messenger RNA-based signature was established that was significantly related to the disease
progression of hepatoblastoma. Our results might provide an efficient clinical multiple-messenger RNA
signature for predicting disease progression and be potentially efficient targets for hepatoblastoma patients.
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