DNA methylation-based epigenetic signatures predict somatic genomic alterations in gliomas

Jie Yang; Qianghu Wang; Ze-Yan Zhang; Lihong Long; Ravesanker Ezhilarasan; Jerome M. Karp; Aristotelis Tsirigos; Matija Snuderl; Benedikt Wiestler; Wolfgang Wick; Yinsen Miao; Jason T. Huse; Erik P. Sulman

doi:10.1038/s41467-022-31827-x

Nature Communications (Jul 2022)

DNA methylation-based epigenetic signatures predict somatic genomic alterations in gliomas

Jie Yang,
Qianghu Wang,
Ze-Yan Zhang,
Lihong Long,
Ravesanker Ezhilarasan,
Jerome M. Karp,
Aristotelis Tsirigos,
Matija Snuderl,
Benedikt Wiestler,
Wolfgang Wick,
Yinsen Miao,
Jason T. Huse,
Erik P. Sulman

Affiliations

Jie Yang: Department of Radiation Oncology, NYU Grossman School of Medicine
Qianghu Wang: Department of Bioinformatics, School of Biomedical Engineering and Informatics, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University
Ze-Yan Zhang: Department of Radiation Oncology, NYU Grossman School of Medicine
Lihong Long: Department of Neurosurgery, The University of Texas MD Anderson Cancer Center
Ravesanker Ezhilarasan: Department of Radiation Oncology, NYU Grossman School of Medicine
Jerome M. Karp: Department of Radiation Oncology, NYU Grossman School of Medicine
Aristotelis Tsirigos: Department of Pathology, NYU Grossman School of Medicine
Matija Snuderl: Department of Pathology, NYU Grossman School of Medicine
Benedikt Wiestler: Department of Neuroradiology, Technical University of Munich
Wolfgang Wick: German Cancer Research Center (DKFZ) and Department of Neurology and NCT Neurooncology Program, University of Heidelberg
Yinsen Miao: Department of Statistics, Rice University
Jason T. Huse: Department of Pathology, The University of Texas MD Anderson Cancer Center
Erik P. Sulman: Department of Radiation Oncology, NYU Grossman School of Medicine

DOI: https://doi.org/10.1038/s41467-022-31827-x
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 12

Abstract

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No clinical assay currently exists to classify glioma tumours based on gene expression. Here, the authors develop a DNA methylation-based classifier, Unified Diagnostic Pipeline (UniD) that identifies genomic alterations and gene expression subtypes of gliomas.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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