ReviewNeuro-oncology advances
Germline susceptibility from broad genomic profiling of pediatric brain cancers.
Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genotype-phenotype correlations inOncology reviews · 2025Pooled it
- Germline pathogenic variation impacts somatic alterations and patient outcomes in pediatric central nervous system tumors.Nature communications · 2025Article
- Germline pathogenic variation impacts somatic alterations and patient outcomes in pediatric CNS tumors.medRxiv : the preprint server for health sciences · 2025Article
- Molecular characterization of gliomas and glioneuronal tumors amid Noonan syndrome: cancer predisposition examined.Frontiers in oncology · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Identifying germline predisposition in CNS malignancies is of increasing clinical importance, as it contributes to diagnosis and prognosis, and determines aspects of treatment. The inclusion of germline testing has historically been limited due to challenges surrounding access to genetic counseling, complexity in acquiring a germline comparator specimen, concerns about the impact of findings, or cost considerations. These limitations were further defined by the breadth and scope of clinical testing to precisely identify complex variants as well as concerns regarding the clinical interpretation of variants including those of uncertain significance. Methods: In the course of conducting an IRB-approved protocol that performed genomic, transcriptomic and methylation-based characterization of pediatric CNS malignancies, we cataloged germline predisposition to cancer based on paired exome capture sequencing, coupled with computational analyses to identify variants in known cancer predisposition genes and interpret them relative to established clinical guidelines. Results: In certain cases, these findings refined diagnosis or prognosis or provided important information for treatment planning. Conclusions: We outline our aggregate findings on cancer predisposition within this cohort which identified 16% of individuals (27 of 168) harboring a variant predicting cancer susceptibility and contextualize the impact of these results in terms of treatment-related aspects of precision oncology.
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Registered trials
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