Evidence map›Paper›PMID 41216458›Full record

ArticleTranslational pediatrics2025

Genetic markers and canonical pathways associated with medulloblastoma: a systematic review and meta-analysis.

Kevin Le, Sarah Voskamp, Vedic Sharma, Jennifer Nelson, Vibhuti Agarwal

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Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kevin LeCollege of Medicine, University of Central Florida, Orlando, FL, USA.ORCID https://orcid.org/0009-0006-5017-3729
Sarah VoskampCollege of Medicine, University of Central Florida, Orlando, FL, USA.ORCID https://orcid.org/0000-0001-8872-0712
Vedic SharmaCollege of Medicine, University of Central Florida, Orlando, FL, USA.ORCID https://orcid.org/0009-0006-5967-9996
Jennifer NelsonCollege of Medicine, University of Central Florida, Orlando, FL, USA.ORCID https://orcid.org/0000-0001-9656-1125
Vibhuti AgarwalCollege of Medicine, University of Central Florida, Orlando, FL, USA.ORCID https://orcid.org/0009-0007-6411-2385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medulloblastoma is the most common malignant brain tumor of childhood, accounting for 25% of pediatric central nervous system (CNS) neoplasms. Although the cause of medulloblastoma is unclear, recent findings have contributed to treatment guidelines that emphasize the extent of disease, tumor resection margins, and age of onset. This study synthesizes available evidence to provide further insight into associated genetic markers and associated pathways that may be leveraged for individualized therapy. Methods: The Search Tag Analyze Resource for NCBI's Gene Expression Omnibus (STARGEO) was utilized to identify 480 medulloblastoma tumor samples and 62 healthy adult and pediatric cerebellum samples. Pathway analysis was conducted using Ingenuity Pathway Analysis (IPA) and restricted to genes with a statistically significant difference (P<0.05) between medulloblastoma and control and an absolute experimental log ratio greater than 0.2. Results: Overall, 4,142 genes met the inclusion criteria. Genes previously described in the context of medulloblastoma, such as Conclusions: Utilizing STARGEO is an effective method for leveraging genomics metadata to highlight novel and previously described pathways and regulators associated with medulloblastoma. By providing an enhanced understanding of the pathophysiology of medulloblastoma, this study provides a framework for future validation studies-the next step toward identifying target genes and biomarkers for screening, prognostication, and targeted treatment for medulloblastoma.

Indexed as

differential gene expressiongeneticsMedulloblastoma

Identifiers

PMID41216458
PMCPMC12597204

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.