Journal Article (Review Article)

DKFZ-2020-01394

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Molecular tumor classification using DNA methylome analysis.

Sill, M. (First author)DKFZ* ; Plass, C.DKFZ* ; Pfister, S. M.DKFZ* ; Lipka, D. (Last author)DKFZ*

2020
Oxford Univ. Press Oxford

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Please use a persistent id in citations: doi:10.1093/hmg/ddaa147

Abstract: Tumor classifiers based on molecular patterns promise to define and reliably classify tumor entities. The high tissue- and cell type-specificity of DNA methylation, as well as its high stability, makes DNA methylation an ideal choice for the development of tumor classifiers. Herein, we review existing tumor classifiers using DNA methylome analysis and will provide an overview on their emerging impact on cancer classification, the detection of novel cancer subentities and patient stratification with a focus on brain tumors, sarcomas and hematopoietic malignancies. Furthermore, we provide an outlook on the enormous potential of DNA methylome analysis to complement classical histopathological and genetic diagnostics, including the emerging field of epigenomic analysis in liquid biopsies.

Note: 2020 Oct 20;29(R2):R205-R213#EA:B062#LA:B340#

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Contributing Institute(s):

1. B062 Pädiatrische Neuroonkologie (B062)
2. DKTK HD zentral (HD01)
3. Epigenomik (B370)
4. Translationale Medizinische Onkologie (B340)

Research Program(s):

1. 312 - Functional and structural genomics (POF3-312) (POF3-312)

Appears in the scientific report 2020

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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