Data availability
The raw methylation array data (IDAT format) have been made available for download at the Gene Expression Omnibus (GEO) repository under the accession number GSE196013 (https://www.ncbi.nlm.nih.gov/geo/).
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Acknowledgements
The authors gratefully acknowledge all patients and their families. This work utilized the computational resources of the NIH HPC Biowulf cluster (https://hpc.nih.gov/systems/). D.A.S. is supported by the Yuvaan Tiwari Foundation, Morgan Adams Foundation, Panattoni Family Foundation, UCSF Glioblastoma Precision Medicine Program, and UCSF Brain Tumor SPORE (P50 CA097257).
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401_2022_2435_MOESM2_ESM.pdf
Supplementary file2 Supplemental Figure 1. Copy number profiles derived from DNA methylation data. Sample-specific profiles for PF-ACVR1 showed frequent broad chromosomal gains and losses. Proportion-based plots for other PF ependymoma types are shown on the right. Supplemental Figure 2. Age distribution of PF ependymoma types and statistical differences when compared to PF-ACVR1. ns = p > 0.05, * = p ≤ 0.05, ** = p ≤ 0.01. Supplemental Figure 3. Representative histologic and immunophenotypic (H3K27me3, EZHIP) features of PF-ACVR1 (cases 1-5, 7) and PFA-ACVR1 (cases 8 and 9) included in this series. Supplemental Figure 4. Kaplan-Meier curves of overall survival and progression-free survival stratified by PF ependymoma tumor type (the exact log rank test is a permutation test based on 100,000 random permutations). Pairwise comparison of the other groups vs. PF-ACVR1 did not reveal significant differences in survival distributions; this may be a result of unbalanced sample sizes in pairwise comparisons with PF-ACVR1. (PDF 2455 KB)
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Pratt, D., Lucas, CH.G., Selvam, P.P. et al. Recurrent ACVR1 mutations in posterior fossa ependymoma. Acta Neuropathol 144, 373–376 (2022). https://doi.org/10.1007/s00401-022-02435-2
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DOI: https://doi.org/10.1007/s00401-022-02435-2