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Molecular tumor classification using DNA methylome analysis.
Sill, Martin; Plass, Christoph; Pfister, Stefan M; Lipka, Daniel B.
Afiliación
  • Sill M; Hopp Children's Cancer Center at the National Center for Tumor Diseases (NCT) Heidelberg, 69120 Heidelberg, Germany.
  • Plass C; Division of Pediatric Neurooncology (B062), German Cancer Research Center and German Cancer Consortium, 69120 Heidelberg, Germany.
  • Pfister SM; Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Lipka DB; Hopp Children's Cancer Center at the National Center for Tumor Diseases (NCT) Heidelberg, 69120 Heidelberg, Germany.
Hum Mol Genet ; 29(R2): R205-R213, 2020 10 20.
Article en En | MEDLINE | ID: mdl-32657331
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sarcoma / Neoplasias Encefálicas / Biomarcadores de Tumor / Regulación Neoplásica de la Expresión Génica / Neoplasias Hematológicas / Metilación de ADN / Epigenoma Límite: Humans Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sarcoma / Neoplasias Encefálicas / Biomarcadores de Tumor / Regulación Neoplásica de la Expresión Génica / Neoplasias Hematológicas / Metilación de ADN / Epigenoma Límite: Humans Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido