Abstract
DNA methylation patterns delineate clinically relevant subgroups of meningioma. We previously established the six meningioma methylation classes (MC) benign 1–3, intermediate A and B, and malignant. Here, we set out to identify subgroup-specific mutational patterns and gene regulation. Whole genome sequencing was performed on 62 samples across all MCs and WHO grades from 62 patients with matched blood control, including 40 sporadic meningiomas and 22 meningiomas arising after radiation (Mrad). RNA sequencing was added for 18 of these cases and chromatin-immunoprecipitation for histone H3 lysine 27 acetylation (H3K27ac) followed by sequencing (ChIP-seq) for 16 samples. Besides the known mutations in meningioma, structural variants were found as the mechanism of NF2 inactivation in a small subset (5%) of sporadic meningiomas, similar to previous reports for Mrad. Aberrations of DMD were found to be enriched in MCs with NF2 mutations, and DMD was among the most differentially upregulated genes in NF2 mutant compared to NF2 wild-type cases. The mutational signature AC3, which has been associated with defects in homologous recombination repair (HRR), was detected in both sporadic meningioma and Mrad, but widely distributed across the genome in sporadic cases and enriched near genomic breakpoints in Mrad. Compared to the other MCs, the number of single nucleotide variants matching the AC3 pattern was significantly higher in the malignant MC, which also exhibited higher genomic instability, determined by the numbers of both large segments affected by copy number alterations and breakpoints between large segments. ChIP-seq analysis for H3K27ac revealed a specific activation of genes regulated by the transcription factor FOXM1 in the malignant MC. This analysis also revealed a super enhancer near the HOXD gene cluster in this MC, which, together with general upregulation of HOX genes in the malignant MC, indicates a role of HOX genes in meningioma aggressiveness. This data elucidates the biological mechanisms rendering different epigenetic subgroups of meningiomas, and suggests leveraging HRR as a novel therapeutic target.
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Acknowledgements
This project was supported by the German Cancer Aid (110983, 70112007), the Else Kröner-Fresenius Stiftung (2015_A060, 2017_EKES.24), and the Heidelberg Center for Personalized Oncology (DKFZ-HIPO). We further thank the DKFZ Omics IT and Data Management Core Facility (ODCF) and DKFZ Genomics and Proteomics Core Facility for technical support.
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Supplementary material 1 (XLSX 10 kb)
Online Resource 1: Supplementary Table 1 Cohort characteristics
Supplementary material 2 (XLSX 138 kb)
Online Resource 2: Supplementary Table 2 Functional exonic variants and small insertions/deletions.
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Online Resource 3: Supplementary Table 3 Association of methylation classes with functional exonic small variants
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Online Resource 4: Supplementary Table 4 Quality control metrics of 16 ChIP-seq samples generated using the ChIPQC R package. Supplementary Figure 1 Volcano plot showing differential expression in NF2 mutant vs wild-type cases. Supplementary Figure 2 Mutational signature analysis (legend below figure). Supplementary Figure 3 Correlation between genomic instability and AC3 stratified for Mrad and sporadic cases. Supplementary Figure 4 HOX gene expression
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Online Resource 5 Expression data from RNA sequencing from FFPE samples
Supplementary material 6 (CSV 12660 kb)
Online Resource 6 Expression data from RNA sequencing from frozen samples
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Paramasivam, N., Hübschmann, D., Toprak, U.H. et al. Mutational patterns and regulatory networks in epigenetic subgroups of meningioma. Acta Neuropathol 138, 295–308 (2019). https://doi.org/10.1007/s00401-019-02008-w
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DOI: https://doi.org/10.1007/s00401-019-02008-w