ArticleAJNR. American journal of neuroradiology2025
Imaging Clusters of Pediatric Low-Grade Glioma Are Associated with Distinct Molecular Characteristics.
Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- POLD3 knockdown effects on low-grade glioma: insights from bioinformatics and experimental validation.BMC cancer · 2025Article
- Radiomics in pediatric brain tumors: from images to insights.Discover oncology · 2025Review
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Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeCancers show heterogeneity at various levels, from genome to radiologic imaging. This study aimed to explore the interplay between genomic, transcriptomic, and radiophenotypic data in pediatric low-grade glioma (pLGG), the most common group of brain tumors in children. MATERIALS AND
methodsWe analyzed data from 201 patients with pLGG in the Children's Brain Tumor Network by using principal component analysis and K-means clustering on 881 radiomic features, along with clinical variables (age, sex, tumor location), to identify imaging clusters and examine their association with pLGG classifications as described in the World Health Organization Classification of Tumors of the Central Nervous System, 5th edition, 2021 (WHO 2021 CNS 5). To determine the transcriptome pathways linked to imaging clusters, we employed a supervised machine-learning model with elastic net logistic regression based on the pathways identified through gene set enrichment and gene coexpression network analyses.
resultsThree imaging clusters with distinct radiomic characteristics were identified.
conclusionsOur radiogenomics study indicates that the intrinsic molecular characteristics of tumors correlate with distinct imaging subgroups in pLGG, paving the way for future multimodal investigations that may enhance understanding of disease progression and targetability.
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