Molecular tumor classification using DNA methylome analysis. (13th July 2020)

• Record Type: Journal Article
• Authors: Sill, Martin; Plass, Christoph; Pfister, Stefan M; Lipka, Daniel B
• Is Part Of: Human molecular genetics. Volume 29:Number R2(2020)
• Page Start: R205
• Page End: R213
• Publication Date: 2020-07-13
• Subjects: Human molecular genetics -- Periodicals; Human chromosome abnormalities -- Periodicals; 572.8
• DOI: 10.1093/hmg/ddaa147
• Languages: English
• ISSNs: 0964-6906

Abstract

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.