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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2020-09-01
|
| Series: | Open Biology |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.200119 |
| _version_ | 1819033765780914176 |
|---|---|
| author | Alexis Zukowski Satyanarayan Rao Srinivas Ramachandran |
| author_facet | Alexis Zukowski Satyanarayan Rao Srinivas Ramachandran |
| author_sort | Alexis Zukowski |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T07:23:03Z |
| format | Article |
| id | doaj.art-957ed36771cf4c6da415f589ef0e54d4 |
| institution | Directory Open Access Journal |
| issn | 2046-2441 |
| language | English |
| last_indexed | 2024-12-21T07:23:03Z |
| publishDate | 2020-09-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Open Biology |
| spelling | doaj.art-957ed36771cf4c6da415f589ef0e54d42022-12-21T19:11:45ZengThe Royal SocietyOpen Biology2046-24412020-09-0110910.1098/rsob.200119200119Phenotypes from cell-free DNAAlexis ZukowskiSatyanarayan RaoSrinivas RamachandranCell-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.https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.200119cell-free dnachromatin dynamicssubnucleosomescancer biomarkerdna methylation |
| spellingShingle | Alexis Zukowski Satyanarayan Rao Srinivas Ramachandran Phenotypes from cell-free DNA Open Biology cell-free dna chromatin dynamics subnucleosomes cancer biomarker dna methylation |
| 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 | cell-free dna chromatin dynamics subnucleosomes cancer biomarker dna methylation |
| url | https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.200119 |
| work_keys_str_mv | AT alexiszukowski phenotypesfromcellfreedna AT satyanarayanrao phenotypesfromcellfreedna AT srinivasramachandran phenotypesfromcellfreedna |