Molecular tumor classification using DNA methylome analysis

Author:

Sill Martin12,Plass Christoph3,Pfister Stefan M124,Lipka Daniel B5ORCID

Affiliation:

1. Hopp Children's Cancer Center at the National Center for Tumor Diseases (NCT) Heidelberg, 69120 Heidelberg, Germany

2. Division of Pediatric Neurooncology (B062), German Cancer Research Center and German Cancer Consortium, 69120 Heidelberg, Germany

3. Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany

4. Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany

5. Division of Translational Medical Oncology, Section Translational Cancer Epigenomics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, 69120 Heidelberg, Germany

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.

Funder

German Childhood Cancer Foundation

DKFZ-Heidelberg Center for Personalized Oncology

Helmholtz Foundation

José Carreras Leukämie Stiftung

German Cancer Aid

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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