ArticleJournal of neuro-oncology2021
Type of bony involvement predicts genomic subgroup in sphenoid wing meningiomas.
Article in Journal of neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Superficial meningioma with bone involvement: surgical strategies and clinical outcomes.Journal of neuro-oncology · 2024Article
- Coexistence of meningioma and craniofacial fibrous dysplasia: a case series of clinicopathological study and literature review.Orphanet journal of rare diseases · 2024Review
- Radiotherapy and radiosurgery for meningiomas.Neuro-oncology advances · 2023Article
- Surgical strategies for intracranial meningioma in the molecular era.Journal of neuro-oncology · 2023Review
- Updated Systematic Review on the Role of Brain Invasion in Intracranial Meningiomas: What, When, Why?Cancers · 2022Review
- Article
- A large cystic meningioma incidentally detected during general examination for breast cancer.Radiology case reports · 2022Article
- The integrated multiomic diagnosis of sporadic meningiomas: a review of its clinical implications.Journal of neuro-oncology · 2022Review
- Recent advances in the molecular prognostication of meningiomas.Frontiers in oncology · 2022Review
- Increased proliferation is associated with CNS invasion in meningiomas.Journal of neuro-oncology · 2021Article
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Authors and funding
21 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAs sphenoid wing meningiomas (SWMs) are associated with varying degrees of bony involvement, we sought to understand potential relationships between genomic subgroup and this feature.
methodsPatients treated at Yale-New Haven Hospital for SWM were reviewed. Genomic subgroup was determined via whole exome sequencing, while the extent of bony involvement was radiographically classified as no bone invasion (Type I), hyperostosis only (Type II), tumor invasion only (Type III), or both hyperostosis and tumor invasion (Type IV). Among additional clinical variables collected, a subset of tumors was identified as spheno-orbital meningiomas (SOMs). Machine-learning approaches were used to predict genomic subgroups based on pre-operative clinical features.
resultsAmong 64 SWMs, 53% had Type-II, 9% had Type-III, and 14% had Type-IV bone involvement; nine SOMs were identified. Tumors with invasion (i.e., Type III or IV) were more likely to be WHO grade II (p: 0.028). Additionally, tumors with invasion were nearly 30 times more likely to harbor NF2 mutations (OR 27.6; p: 0.004), while hyperostosis only were over 4 times more likely to have a TRAF7 mutation (OR 4.5; p: 0.023). SOMs were a significant predictor of underlying TRAF7 mutation (OR 10.21; p: 0.004).
conclusionsSWMs with invasion into bone tend to be higher grade and are more likely to be NF2 mutated, while SOMs and those with hyperostosis are associated with TRAF7 variants. Pre-operative prediction of molecular subtypes based on radiographic bony characteristics may have significant biological and clinical implications based on known recurrence patterns associated with genomic drivers and grade.
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