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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
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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. |
format | Online Article Text |
id | pubmed-7536073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zukowskialexis phenotypesfromcellfreedna AT raosatyanarayan phenotypesfromcellfreedna AT ramachandransrinivas phenotypesfromcellfreedna |