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Phenotypes from cell-free DNA

Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents the nucleosomal landscape of cell(s)-of-origin and captures the dynamics of the epigenome. In this review, we highlight the emergence of cfDNA epigen...

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Detalles Bibliográficos
Autores principales: Zukowski, Alexis, Rao, Satyanarayan, Ramachandran, Srinivas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536073/
https://www.ncbi.nlm.nih.gov/pubmed/32873154
http://dx.doi.org/10.1098/rsob.200119
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author Zukowski, Alexis
Rao, Satyanarayan
Ramachandran, Srinivas
author_facet Zukowski, Alexis
Rao, Satyanarayan
Ramachandran, Srinivas
author_sort Zukowski, Alexis
collection PubMed
description Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents the nucleosomal landscape of cell(s)-of-origin and captures the dynamics of the epigenome. In this review, we highlight the emergence of cfDNA epigenomic methods that assess disease beyond the scope of mutant tumour genotyping. Detection of tumour mutations is the gold standard for sequencing methods in clinical oncology. However, limitations inherent to mutation targeting in cfDNA, and the possibilities of uncovering molecular mechanisms underlying disease, have made epigenomics of cfDNA an exciting alternative. We discuss the epigenomic information revealed by cfDNA, and how epigenomic methods exploit cfDNA to detect and characterize cancer. Future applications of cfDNA epigenomic methods to act complementarily and orthogonally to current clinical practices has the potential to transform cancer management and improve cancer patient outcomes.
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spelling pubmed-75360732020-10-09 Phenotypes from cell-free DNA Zukowski, Alexis Rao, Satyanarayan Ramachandran, Srinivas Open Biol Review Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents the nucleosomal landscape of cell(s)-of-origin and captures the dynamics of the epigenome. In this review, we highlight the emergence of cfDNA epigenomic methods that assess disease beyond the scope of mutant tumour genotyping. Detection of tumour mutations is the gold standard for sequencing methods in clinical oncology. However, limitations inherent to mutation targeting in cfDNA, and the possibilities of uncovering molecular mechanisms underlying disease, have made epigenomics of cfDNA an exciting alternative. We discuss the epigenomic information revealed by cfDNA, and how epigenomic methods exploit cfDNA to detect and characterize cancer. Future applications of cfDNA epigenomic methods to act complementarily and orthogonally to current clinical practices has the potential to transform cancer management and improve cancer patient outcomes. The Royal Society 2020-09-02 /pmc/articles/PMC7536073/ /pubmed/32873154 http://dx.doi.org/10.1098/rsob.200119 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Review
Zukowski, Alexis
Rao, Satyanarayan
Ramachandran, Srinivas
Phenotypes from cell-free DNA
title Phenotypes from cell-free DNA
title_full Phenotypes from cell-free DNA
title_fullStr Phenotypes from cell-free DNA
title_full_unstemmed Phenotypes from cell-free DNA
title_short Phenotypes from cell-free DNA
title_sort phenotypes from cell-free dna
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536073/
https://www.ncbi.nlm.nih.gov/pubmed/32873154
http://dx.doi.org/10.1098/rsob.200119
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