ABSTRACT
Meningiomas are classified based on histological features, but genetic and epigenetic features are emerging as relevant biomarkers for outcome prediction and may supplement histomorphological evaluation. We investigated meningioma-relevant mutations and their correlation with DNA methylation clusters and patient survival times. Formalin-fixed and paraffin-embedded samples of 126 meningioma patients (WHO grade I 52/126; 41.3%; WHO grade II: 48/126; 38.1%; WHO grade III: 26/126; 20.6%) were investigated. We analyzed NF2, TRAF7, KLF4, ARID, SMO, AKT, TERT promotor, PIK3CA, and SUFU mutations using panel sequencing and correlated them to DNA methylation classes (MC) determined using 850k EPIC arrays. The TRAKL mutation genotype was characterized by the presence of any of the following mutations: TRAF7, AKT1, and KLF4. Survival data including progression-free survival (PFS) and overall survival (OS) was retrieved from chart review. Mutations were evident in 90/126 (71.4%) specimens with mutations in NF2 (39/126; 31.0%), TRAF7 (39/126; 31.0%) and KLF4 (25/126; 19.8%) being the most frequent ones. Two or more mutations were observed in 35/126 (27.8%) specimens. While TRAKL was predominantly found in benign MC, NF2 was associated with malign MC (p < 0.05). TRAF7, KLF4, and TRAKL mutation genotype were associated with improved PFS and OS (p < 0.05). TERT promotor methylation, intermediate, and malign MC were associated with impaired PFS and OS (p < 0.05). Methylation cluster showed better prognostic discrimination for PFS and OS (c-index 0.77/0.75) than each of the individual mutations (c-index 0.63/0.68). In multivariate analysis correcting for age, gender, MC, and WHO grade, none of the individual mutations except TERT remained an independent significant prognostic factor for PFS. Molecular profiling including mutational analysis and DNA methylation classification may facilitate more precise prognostic assessment and identification of potential targets for personalized therapy in meningioma patients.
Subject(s)
Meningeal Neoplasms , Meningioma , DNA Methylation , Humans , Meningeal Neoplasms/genetics , Meningioma/genetics , Mutation , PrognosisABSTRACT
INTRODUCTION: NAB2-STAT6 gene fusion is a molecular characteristic of solitary fibrous tumors (SFT) and hemangiopericytoma, underscoring their definition as one diagnostic entity. NAB2-STAT6 fusion is associated with nuclear relocation of STAT6 protein that can be detected by immunohistochemistry. We evaluated the diagnostic value of STAT6 expression in meningeal tumors. METHODS: 77 meningeal tumors (17/77 (22.0%) SFT/hemangiopericytoma, 11/77 meningothelial meningioma, 10/77 atypical meningioma 8/77 chordoid meningioma, 9/77 fibroblastic meningioma, 10/77 transitional meningioma, 3/77 rhabdoid meningioma and 9/77 anaplastic meningioma) were included. STAT6 immunohistochemistry was performed on FFPE specimens using a fully automated slide-staining system and anti-STAT6 antibody SC-20:sc621. Two independent observers analyzed all specimens blinded to histological diagnoses, and a third observer was consulted in case of discordancy. RESULTS: STAT6 immunohistochemistry yielded an exclusively nuclear immunostaining signal. 16/17 (94%) SFT/hemangiopericytoma specimens presented with clear-cut, wide-spread, and moderate to strong staining in tumor cell nuclei and were rated as STAT6-positive. In only 1 SFT case with weak and focal nuclear STAT6 immunostaining signal, STAT6 expression was rated discordant (observer 1: STAT6-negative, observers 2 and 3: STAT6-positive). All non-SFT/hemangiopericytoma cases were unanimously rated as STAT6-negative. In 76/77 (98.7%) cases the evaluation of STAT6 immunostaining results was in agreement among observers. CONCLUSION: STAT6 immunohistochemistry is a robust method to verify diagnosis of SFT/hemangiopericytoma and should therefore be included in the diagnostic work-up of meningeal tumors. In singular cases, weak and focal STAT6 expression may lead to false-negative evaluation and may prompt further molecular work-up.â©.
