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Lookup NU author(s): Dr Yura Grabovska, Dr Stephen Crosier, Dr Martina Finetti, Dr Ed Schwalbe, Dr Rebecca Hill, Dr Janet Lindsey, Dr Debbie Hicks, Professor Simon BaileyORCiD, Professor Steven CliffordORCiD, Dr Daniel Williamson
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2020, The Author(s).Immune-therapy is an attractive alternative therapeutic approach for targeting central nervous system (CNS) tumors and the constituency of the Tumor Immune Microenvironment (TIME) likely to predict patient response. Here, we describe the TIME of >6000 primarily pediatric CNS tumors using a deconvolution approach (methylCIBERSORT). We produce and validate a custom reference signature defining 11 non-cancer cell types to estimate relative proportions of infiltration in a panCNS tumor cohort spanning 80 subtypes. We group patients into three broad immune clusters associated with CNS tumor types/subtypes. In cohorts of medulloblastomas (n = 2325), malignant rhabdoid tumors (n = 229) and pediatric high-grade gliomas (n = 401), we show significant associations with molecular subgroups/subtypes, mutations, and prognosis. We further identify tumor-specific immune clusters with phenotypic characteristics relevant to immunotherapy response (i.e. Cytolytic score, PDL1 expression). Our analysis provides an indication of the potential future therapeutic and prognostic possibilities of immuno-methylomic profiling in pediatric CNS tumor patients that may ultimately inform approach to immune-therapy.
Author(s): Grabovska Y, Mackay A, O'Hare P, Crosier S, Finetti M, Schwalbe EC, Pickles JC, Fairchild AR, Avery A, Cockle J, Hill R, Lindsey J, Hicks D, Kristiansen M, Chalker J, Anderson J, Hargrave D, Jacques TS, Straathof K, Bailey S, Jones C, Clifford SC, Williamson D
Publication type: Article
Publication status: Published
Journal: Nature Communications
Year: 2020
Volume: 11
Issue: 1
Print publication date: 01/12/2020
Online publication date: 28/08/2020
Acceptance date: 24/07/2020
Date deposited: 26/11/2020
ISSN (electronic): 2041-1723
Publisher: Nature Publishing Group
URL: https://doi.org/10.1038/s41467-020-18070-y
DOI: 10.1038/s41467-020-18070-y
PubMed id: 32859926
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