How to detect cancer early using cell-free DNA.

Hasenleithner, Samantha O; Speicher, Michael R

Hasenleithner, Samantha O; Speicher, Michael R.

Afiliación

Hasenleithner SO; Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria. Electronic address: samantha.hasenleithner@medunigraz.at.
Speicher MR; Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: michael.speicher@medunigraz.at.

Cancer Cell ; 40(12): 1464-1466, 2022 12 12.

Article en En | MEDLINE | ID: mdl-36513047

ABSTRACT

ABSTRACT

Cell-free circulating DNA (cfDNA) analyses may enable multi-cancer early detection (MCED), but the most suitable method is unknown. In this issue of Cancer Cell, Jamshidi et al. compare ten machine-learning classifiers using various cfDNA features and conclude that cfDNA methylation patterns are most promising for MCED testing.

Asunto(s)

Ácidos Nucleicos Libres de Células; Neoplasias; Humanos; Ácidos Nucleicos Libres de Células/genética; Metilación de ADN; Detección Precoz del Cáncer; Neoplasias/diagnóstico; Neoplasias/genética; Biomarcadores de Tumor/genética

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Texto completo: 1 Colección: 01-internacional Asunto principal: Ácidos Nucleicos Libres de Células / Neoplasias Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Cancer Cell Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article

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