MNGI-11. LONGITUDINAL GENOMIC ANALYSIS OF SPORADIC MENINGIOMAS WITH MULTIPLE RECURRENCES

Abstract

Recently, genomic patterns and methylation profiles of meningiomas were described as prognostic factors for aggressiveness and recurrence (e.g. TERT, SMO and AKT1 mutations). However, the particular molecular profiles of recurrence and malignant progression of specific meningioma subtypes remain undefined. In this regard, longitudinal molecular studies are very interesting. In this study, we characterized somatic mutations in a cohort of sporadic meningioma patients. We included 9 patients with multiple recurrences and up to 11 subsequent resections of sporadic meningiomas. We performed a comparative whole-exome sequencing (WES). Moreover, we used the whole-exome data to predict the HLA MHC class I peptides of the subsequent tumor samples in silico. Our study included patients with follow-up times accounted for up to 26 years (average: 12.6 years, range 3–26). We detected a TRAF7 mutation (c.1189G>C) in only 2 of 6 recurrent tumor samples of a female patient with a malignant progression from a WHO I to a WHO grade II meningioma. In a male patient with 9 analyzed meningioma tumor samples, recurrent somatic PLEKHG5, AGBL1, ALK, RICTOR, DEPDC5 mutations were detected. This individual pattern remained constantly evident under different treatments, even after systemic treatment with the mTOR inhibitor everolimus. Moreover, unique mutations in HLA-DQA1, OR14J1, PRH1 genes occurred after mTOR inhibition in this male patient. Furthermore, we identified somatic mutations in the tumor suppressor candidate NBPF1 in 7 of 9 patients. HLA allele types were predicted in silico, with A*02:01, B*57:01, C*03:03, C07:01 and B51:01 being most frequent. Neither ubiquitously shared somatic mutations nor shared MHC class I peptides were identified among this cohort. Taken together, our study outlines a heterogeneous molecular profile in this analysis. Since longitudinal samples in sporadic meningioma are rather rare, the ICOM consortium would be an ideal frame for studying the molecular profile of recurrence in meningioma in larger cohorts.