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Titel:

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

Dokumenttyp:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Autor(en):
Yang, Jie; Wang, Qianghu; Zhang, Ze-Yan; Long, Lihong; Ezhilarasan, Ravesanker; Karp, Jerome M; Tsirigos, Aristotelis; Snuderl, Matija; Wiestler, Benedikt; Wick, Wolfgang; Miao, Yinsen; Huse, Jason T; Sulman, Erik P
Abstract:
Molecular classification has improved diagnosis and treatment for patients with malignant gliomas. However, classification has relied on individual assays that are both costly and slow, leading to frequent delays in treatment. Here, we propose the use of DNA methylation, as an emerging clinical diagnostic platform, to classify gliomas based on major genomic alterations and provide insight into subtype characteristics. We show that using machine learning models, DNA methylation signatures can acc...     »
Zeitschriftentitel:
Nat Commun
Jahr:
2022
Band / Volume:
13
Heft / Issue:
1
Volltext / DOI:
doi:10.1038/s41467-022-31827-x
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35906213
Print-ISSN:
2041-1723
TUM Einrichtung:
Professur für AI for Image-Guided Diagnosis and Therapy (Prof. Wiestler); Professur für Neuroradiologie (Prof. Zimmer)
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