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The integrated genomic and epigenomic landscape of brainstem glioma

Chen, LH, Pan, C, Diplas, BH, Xu, C, Hansen, LJ, Wu, Y, Chen, X, Geng, Y, Sun, T, Sun, Y, Zhang, P, Wu, Z, Zhang, J, Li, D, Zhang, Y, Wu, W, Wang, Y, Li, G, Yang, J, Wang, X, Xu, C, Wang, S, Waitkus, MS, He, Y, McLendon, RE, Ashley, D, Yan, H and Zhang, L 2020, The integrated genomic and epigenomic landscape of brainstem glioma, Nature Communications, vol. 11, no. 1, pp. 1-11, doi: 10.1038/s41467-020-16682-y.

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Title The integrated genomic and epigenomic landscape of brainstem glioma
Author(s) Chen, LH
Pan, C
Diplas, BH
Xu, C
Hansen, LJ
Wu, Y
Chen, X
Geng, Y
Sun, T
Sun, Y
Zhang, P
Wu, Z
Zhang, J
Li, D
Zhang, Y
Wu, W
Wang, Y
Li, G
Yang, J
Wang, X
Xu, C
Wang, S
Waitkus, MS
He, Y
McLendon, RE
Ashley, D
Yan, H
Zhang, L
Journal name Nature Communications
Volume number 11
Issue number 1
Article ID 3077
Start page 1
End page 11
Total pages 11
Publisher Nature Research
Place of publication Berlin, Germany
Publication date 2020-06-17
ISSN 2041-1723
Keyword(s) Cancer genomics
CNS cancer
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
DIFFERENTIAL EXPRESSION ANALYSIS
CENTRAL-NERVOUS-SYSTEM
HIGH-GRADE
ACVR1 MUTATIONS
HISTONE H3.3
CLASSIFICATION
SUBGROUPS
DISCOVERY
FRAMEWORK
DEFINES
Summary Brainstem gliomas are a heterogeneous group of tumors that encompass both benign tumors cured with surgical resection and highly lethal cancers with no efficacious therapies. We perform a comprehensive study incorporating epigenetic and genomic analyses on a large cohort of brainstem gliomas, including Diffuse Intrinsic Pontine Gliomas. Here we report, from DNA methylation data, distinct clusters termed H3-Pons, H3-Medulla, IDH, and PA-like, each associated with unique genomic and clinical profiles. The majority of tumors within H3-Pons and-H3-Medulla harbors H3F3A mutations but shows distinct methylation patterns that correlate with anatomical localization within the pons or medulla, respectively. Clinical data show significantly different overall survival between these clusters, and pathway analysis demonstrates different oncogenic mechanisms in these samples. Our findings indicate that the integration of genetic and epigenetic data can facilitate better understanding of brainstem gliomagenesis and classification, and guide future studies for the development of novel treatments for this disease.
Language eng
DOI 10.1038/s41467-020-16682-y
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, The Author(s)
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139811

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.