ArticleOncology letters2018
Data mining of pediatric medulloblastoma microarray expression reveals a novel potential subdivision of the Group 4 molecular subgroup.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Identification of Markers on the Basis of Transcriptomic Analysis for Molecular Assignment of Medulloblastoma.International journal of molecular sciences · 2026Article
- Hyaluronan-Mediated Motility Receptor (HMMR) Overexpression Is Correlated with Poor Survival in Patients with B-ALL.International journal of molecular sciences · 2025Article
- Machine learning identification of molecular targets for medulloblastoma subgroups using microarray gene fingerprint analysis.Computational and structural biotechnology journal · 2025Article
- Development and validation of a 23-gene expression signature for molecular subtyping of medulloblastoma in a long-term Chinese cohort.Acta neurochirurgica · 2024Article
- Article
- Identification of ITPR1 as a Hub Gene of Group 3 Medulloblastoma and Coregulated Genes with Potential Prognostic Values.Journal of molecular neuroscience : MN · 2022Article
- Article
- Centromere-associated protein E expresses a novel mRNA isoform in acute lymphoblastic leukemia.International journal of molecular epidemiology and genetics · 2018Article
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Authors and funding
3 authors.
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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
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