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A clinically applicable integrative molecular classification of meningiomas

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Listed:
  • Farshad Nassiri

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    University of Toronto
    The International Consortium on Meningiomas)

  • Jeff Liu

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    The International Consortium on Meningiomas)

  • Vikas Patil

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    The International Consortium on Meningiomas)

  • Yasin Mamatjan

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    The International Consortium on Meningiomas)

  • Justin Z. Wang

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    University of Toronto
    The International Consortium on Meningiomas)

  • Rupert Hugh-White

    (University of California, Los Angeles)

  • Andrew M. Macklin

    (University Health Network)

  • Shahbaz Khan

    (University Health Network)

  • Olivia Singh

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto)

  • Shirin Karimi

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto)

  • Rosario I. Corona

    (University of California, Los Angeles)

  • Lydia Y. Liu

    (University of California, Los Angeles
    University of Toronto)

  • Caroline Y. Chen

    (University of California, Los Angeles)

  • Ankur Chakravarthy

    (University Health Network)

  • Qingxia Wei

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto)

  • Bharati Mehani

    (National Cancer Institute)

  • Suganth Suppiah

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    University of Toronto
    The International Consortium on Meningiomas)

  • Andrew Gao

    (University Health Network)

  • Adriana M. Workewych

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto)

  • Ghazaleh Tabatabai

    (The International Consortium on Meningiomas
    Comprehensive Cancer Center, University Hospital Tübingen)

  • Paul C. Boutros

    (The International Consortium on Meningiomas
    University of California, Los Angeles
    University of California, Los Angeles)

  • Gary D. Bader

    (University of Toronto
    University of Toronto
    University of Toronto
    Mount Sinai Hospital)

  • Daniel D. Carvalho

    (University Health Network
    University of Toronto)

  • Thomas Kislinger

    (The International Consortium on Meningiomas
    University Health Network
    University of Toronto)

  • Kenneth Aldape

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    The International Consortium on Meningiomas
    National Cancer Institute)

  • Gelareh Zadeh

    (Princess Margaret Cancer Centre, University Health Network and University of Toronto
    University of Toronto
    The International Consortium on Meningiomas
    University Health Network)

Abstract

Meningiomas are the most common primary intracranial tumour in adults1. Patients with symptoms are generally treated with surgery as there are no effective medical therapies. The World Health Organization histopathological grade of the tumour and the extent of resection at surgery (Simpson grade) are associated with the recurrence of disease; however, they do not accurately reflect the clinical behaviour of all meningiomas2. Molecular classifications of meningioma that reliably reflect tumour behaviour and inform on therapies are required. Here we introduce four consensus molecular groups of meningioma by combining DNA somatic copy-number aberrations, DNA somatic point mutations, DNA methylation and messenger RNA abundance in a unified analysis. These molecular groups more accurately predicted clinical outcomes compared with existing classification schemes. Each molecular group showed distinctive and prototypical biology (immunogenic, benign NF2 wild-type, hypermetabolic and proliferative) that informed therapeutic options. Proteogenomic characterization reinforced the robustness of the newly defined molecular groups and uncovered highly abundant and group-specific protein targets that we validated using immunohistochemistry. Single-cell RNA sequencing revealed inter-individual variations in meningioma as well as variations in intrinsic expression programs in neoplastic cells that mirrored the biology of the molecular groups identified.

Suggested Citation

  • Farshad Nassiri & Jeff Liu & Vikas Patil & Yasin Mamatjan & Justin Z. Wang & Rupert Hugh-White & Andrew M. Macklin & Shahbaz Khan & Olivia Singh & Shirin Karimi & Rosario I. Corona & Lydia Y. Liu & Ca, 2021. "A clinically applicable integrative molecular classification of meningiomas," Nature, Nature, vol. 597(7874), pages 119-125, September.
  • Handle: RePEc:nat:nature:v:597:y:2021:i:7874:d:10.1038_s41586-021-03850-3
    DOI: 10.1038/s41586-021-03850-3
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    Citations

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    Cited by:

    1. Grayson A. Herrgott & James M. Snyder & Ruicong She & Tathiane M. Malta & Thais S. Sabedot & Ian Y. Lee & Jacob Pawloski & Guilherme G. Podolsky-Gondim & Karam P. Asmaro & Jiaqi Zhang & Cara E. Cannel, 2023. "Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    2. Mark W. Youngblood & Zeynep Erson-Omay & Chang Li & Hinda Najem & Süleyman Coșkun & Evgeniya Tyrtova & Julio D. Montejo & Danielle F. Miyagishima & Tanyeri Barak & Sayoko Nishimura & Akdes Serin Harma, 2023. "Super-enhancer hijacking drives ectopic expression of hedgehog pathway ligands in meningiomas," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Yuanyuan Qu & Jinwen Feng & Xiaohui Wu & Lin Bai & Wenhao Xu & Lingli Zhu & Yang Liu & Fujiang Xu & Xuan Zhang & Guojian Yang & Jiacheng Lv & Xiuping Chen & Guo-Hai Shi & Hong-Kai Wang & Da-Long Cao &, 2022. "A proteogenomic analysis of clear cell renal cell carcinoma in a Chinese population," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    4. Charlotte D. Eaton & Lauro Avalos & S. John Liu & Zhenhong Chen & Naomi Zakimi & Tim Casey-Clyde & Paola Bisignano & Calixto-Hope G. Lucas & Erica Stevenson & Abrar Choudhury & Harish N. Vasudevan & S, 2024. "MerlinS13 phosphorylation regulates meningioma Wnt signaling and magnetic resonance imaging features," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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