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Intratumor and informatic heterogeneity influence meningioma molecular classification

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Fig. 1

Data availability

DNA methylation profiling, RNA sequencing, single-cell RNA sequencing, or DNA sequencing data for all previously reported meningiomas that were reanalyzed in this study have been deposited in the NCBI Gene Expression Omnibus under accession numbers GSE151067, GSE151921, or GSE183656.

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Acknowledgements

H.N.V. is supported by the UCSF Wolfe Meningioma Program Project, Children’s Tumor Foundation Young Investigator Award, and NTAP Francis Collins Scholar Award. A.C. is supported by NIH grants F30 CA246808 and T32 GM007618, and the UCSF Wolfe Meningioma Program Project. J.E.V-M., S.E.B, and N.A.O.B. are supported by the UCSF Wolfe Meningioma Program Project. W.C.C. is supported by the UCSF Brain Tumor Center SPORE and the UCSF Catalyst Program. D.A.S. is supported by the NIH grant DP5 OD021403. S.T.M. is supported by NIH grant F32 CA213944, the UCSF Wolfe Meningioma Program Project, and the Northwestern Medicine Malnati Brain Tumor Institute of the Lurie Cancer Center. D.R.R. is supported by the UCSF Wolfe Meningioma Program Project and NIH grant R01 CA262311.

Author information

Author notes

  1. Abrar Choudhury and Stephanie Hilz equally contributed.

  2. Stephen T. Magill and David R. Raleigh equally contributed.

Authors and Affiliations

  1. Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA

    Harish N. Vasudevan, Abrar Choudhury, William C. Chen, Steve E. Braunstein & David R. Raleigh

  2. Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA

    Harish N. Vasudevan, Abrar Choudhury, Stephanie Hilz, William C. Chen, Nancy Ann Oberheim Bush, Nicholas Butowski, Arie Perry & David R. Raleigh

  3. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA

    Javier E. Villanueva-Meyer

  4. Department of Pathology, University of California San Francisco, San Francisco, CA, USA

    Calixto-Hope G. Lucas, Melike Pekmezci, Arie Perry & David A. Solomon

  5. Department of Neurology, University of California San Francisco, San Francisco, CA, USA

    Nicholas Butowski

  6. Miami Neuroscience Institute, Baptist Health, Miami, FL, USA

    Michael W. McDermott

  7. Department of Neurological Surgery, Northwestern University, Chicago, IL, USA

    Stephen T. Magill

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  1. Harish N. Vasudevan
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Corresponding authors

Correspondence to Stephen T. Magill or David R. Raleigh.

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Conflict of interest

The authors declare they have no competing interests related to this study.

Ethical approval

The study was approved by the Committee on Human Research of the University of California San Francisco, with a waiver of patient consent.

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Supplementary Information

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401_2022_2455_MOESM1_ESM.tif

Supplementary Fig. 1. DNA methylation copy number quantification. a CNVs derived from DNA methylation profiling of meningioma stereotactic sample M8E (TIF 15.1 MB)

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Vasudevan, H.N., Choudhury, A., Hilz, S. et al. Intratumor and informatic heterogeneity influence meningioma molecular classification. Acta Neuropathol 144, 579–583 (2022). https://doi.org/10.1007/s00401-022-02455-y

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