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Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO

Abstract

We report genomic analysis of 300 meningiomas, the most common primary brain tumors, leading to the discovery of mutations in TRAF7, a proapoptotic E3 ubiquitin ligase, in nearly one-fourth of all meningiomas. Mutations in TRAF7 commonly occurred with a recurrent mutation (K409Q) in KLF4, a transcription factor known for its role in inducing pluripotency, or with AKT1(E17K), a mutation known to activate the PI3K pathway. SMO mutations, which activate Hedgehog signaling, were identified in ~5% of non-NF2 mutant meningiomas. These non-NF2 meningiomas were clinically distinctive-nearly always benign, with chromosomal stability, and originating from the medial skull base. In contrast, meningiomas with mutant NF2 and/or chromosome 22 loss were more likely to be atypical, showing genomic instability, and localizing to the cerebral and cerebellar hemispheres. Collectively, these findings identify distinct meningioma subtypes, suggesting avenues for targeted therapeutics.

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References
1.
Schmitz U, Mueller W, Weber M, Sevenet N, Delattre O, Deimling A . INI1 mutations in meningiomas at a potential hotspot in exon 9. Br J Cancer. 2001; 84(2):199-201. PMC: 2363707. DOI: 10.1054/bjoc.2000.1583. View

2.
Bouwmeester T, Bauch A, Ruffner H, Angrand P, Bergamini G, Croughton K . A physical and functional map of the human TNF-alpha/NF-kappa B signal transduction pathway. Nat Cell Biol. 2004; 6(2):97-105. DOI: 10.1038/ncb1086. View

3.
Riemenschneider M, Perry A, Reifenberger G . Histological classification and molecular genetics of meningiomas. Lancet Neurol. 2006; 5(12):1045-54. DOI: 10.1016/S1474-4422(06)70625-1. View

4.
Wiemels J, Wrensch M, Claus E . Epidemiology and etiology of meningioma. J Neurooncol. 2010; 99(3):307-14. PMC: 2945461. DOI: 10.1007/s11060-010-0386-3. View

5.
Carpten J, Faber A, Horn C, Donoho G, Briggs S, Robbins C . A transforming mutation in the pleckstrin homology domain of AKT1 in cancer. Nature. 2007; 448(7152):439-44. DOI: 10.1038/nature05933. View