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Published on: March 15, 2024
Data mining of pediatric medulloblastoma microarray expression reveals a novel potential subdivision of the Group 4
Rosa Angélica Castillo-Rodríguez1,2, Víctor Manuel Dávila-Borja1, Sergio Juárez-Méndez1
1Laboratory of Experimental Oncology, National Institute of Pediatrics, Mexico City 04530, Mexico.
Abstract:
Medulloblastoma is the most common type of solid brain tumor in children. This type of embryonic tumor is highly heterogeneous and has been classified into 4 molecular subgroups based on their gene expression profiles: WNT, SHH, Group 3 (G3) and Group 4 (G4). WNT and SHH tumors exhibit the specific dysregulation of genes and pathways, whereas G3 and G4 tumors, two of the more frequent subtypes, are the least characterized. Thus, novel markers to aid in the diagnosis, prognosis and management of medulloblastoma are required. In the present study, microarray gene expression data was downloaded from the Gene Expression Omnibus database, including data from the 4 subgroups of medulloblastoma and healthy cerebellum tissue (CT). The data was utilized in an in silico analysis to characterize each subgroup at a transcriptomic level. Using Partek Genomics Suite software, the data were visualized via hierarchical clustering and principal component analysis. The differentially expressed genes were uploaded to the MetaCore portal to perform enrichment analysis using CT gene expression as baseline, with fold change thresholds of <-5 and >5 for differential expression. The data mining analysis of microarray gene expression data enabled the identification of a range of dysregulated molecules associated with each subgroup of medulloblastoma. G4 is the most heterogeneous subgroup, as no definitive pathway defines its pathogenesis; analysis of the gene expression profiles were associated with the G4α and G4β subcategories. TOX high mobility group box family member 3, synuclein α interacting protein and, potassium voltage-gated channel interacting protein 4 were identified as three novel potential markers for distinguishing the α and β subcategories of G4. These genes may be associated with medulloblastoma pathogenesis, and thus may provide a basis for researching novel targeted treatment strategies for G4 medulloblastoma.
Insights
Researchers identified novel gene markers to distinguish between G4α and G4β medulloblastoma subtypes. These findings may aid in diagnosing and treating this common childhood brain tumor.
Area of Science:
- Pediatric Oncology
- Molecular Biology
- Genomics
Background:
- Medulloblastoma is the most common pediatric brain tumor, characterized by significant heterogeneity.
- It is classified into four molecular subgroups: WNT, SHH, Group 3 (G3), and Group 4 (G4).
- G3 and G4 subgroups are frequent but less characterized, necessitating new diagnostic and prognostic markers.
Purpose of the Study:
- To transcriptomically characterize the four medulloblastoma subgroups using *in silico* analysis.
- To identify novel molecular markers for improved diagnosis and management of medulloblastoma, particularly the G4 subgroup.
- To investigate potential targeted treatment strategies based on identified gene expression profiles.
Main Methods:
- Downloaded and analyzed microarray gene expression data from the Gene Expression Omnibus database.
- Utilized Partek Genomics Suite for hierarchical clustering and principal component analysis.
- Performed enrichment analysis using MetaCore with fold change thresholds for differential gene expression.
Main Results:
- Characterized transcriptomic profiles for WNT, SHH, G3, and G4 medulloblastoma subgroups.
- Identified G4 as the most heterogeneous subgroup, with distinct G4α and G4β subcategories.
- Discovered three novel potential markers (TOX high mobility group box family member 3, synuclein α interacting protein, potassium voltage-gated channel interacting protein 4) for differentiating G4α and G4β.
Conclusions:
- The identified genes are potential novel markers for distinguishing G4 medulloblastoma subcategories.
- These markers may play a role in medulloblastoma pathogenesis.
- Further research into these genes could lead to novel targeted therapies for G4 medulloblastoma.
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