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An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma
Circulating tumor DNA (ctDNA) in plasma has been used as a biomarker for cancer detection and outcome prediction. In this study, we collected the five precipitates (fractions 1–5) and leftover supernatant plasma component (fraction 6) by a sequential centrifugation in plasma samples from nine small...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226168/ https://www.ncbi.nlm.nih.gov/pubmed/34178690 http://dx.doi.org/10.3389/fonc.2021.691798 |
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author | Sun, Li Du, Meijun Kohli, Manish Huang, Chiang-Ching Chen, Xiaoxiang Xu, Mu Shen, Hongbing Wang, Shukui Wang, Liang |
author_facet | Sun, Li Du, Meijun Kohli, Manish Huang, Chiang-Ching Chen, Xiaoxiang Xu, Mu Shen, Hongbing Wang, Shukui Wang, Liang |
author_sort | Sun, Li |
collection | PubMed |
description | Circulating tumor DNA (ctDNA) in plasma has been used as a biomarker for cancer detection and outcome prediction. In this study, we collected the five precipitates (fractions 1–5) and leftover supernatant plasma component (fraction 6) by a sequential centrifugation in plasma samples from nine small cell lung cancer (SCLC) patients. The fractions 3, 5 and 6 were large vesicles, exosomes and extracellular vesicles (EVs)-depleted plasma, respectively. Fragment size analysis using DNAs from these fractions showed dramatical differences from a peak of 7–10 kb in fraction 1 to 140–160 bp in fraction 6. To determine ctDNA content, we performed whole genome sequencing and applied copy number-based algorithm to calculate ctDNA percentage. This analysis showed the highest ctDNA content in EV-depleted plasma (average = 27.22%), followed by exosomes (average = 22.09%) and large vesicles (average = 19.70%). Comparatively, whole plasma, which has been used in most ctDNA studies, showed an average of 23.84% ctDNA content in the same group of patients. To further demonstrate higher ctDNA content in fraction 6, we performed mutational analysis in the plasma samples from 22 non-small cell lung cancer (NSCLC) patients with known EGFR mutations. This analysis confirmed higher mutation detection rates in fraction 6 (14/22) than whole plasma (10/22). This study provides a new insight into potential application of using fractionated plasma for an improved ctDNA detection. |
format | Online Article Text |
id | pubmed-8226168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82261682021-06-26 An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma Sun, Li Du, Meijun Kohli, Manish Huang, Chiang-Ching Chen, Xiaoxiang Xu, Mu Shen, Hongbing Wang, Shukui Wang, Liang Front Oncol Oncology Circulating tumor DNA (ctDNA) in plasma has been used as a biomarker for cancer detection and outcome prediction. In this study, we collected the five precipitates (fractions 1–5) and leftover supernatant plasma component (fraction 6) by a sequential centrifugation in plasma samples from nine small cell lung cancer (SCLC) patients. The fractions 3, 5 and 6 were large vesicles, exosomes and extracellular vesicles (EVs)-depleted plasma, respectively. Fragment size analysis using DNAs from these fractions showed dramatical differences from a peak of 7–10 kb in fraction 1 to 140–160 bp in fraction 6. To determine ctDNA content, we performed whole genome sequencing and applied copy number-based algorithm to calculate ctDNA percentage. This analysis showed the highest ctDNA content in EV-depleted plasma (average = 27.22%), followed by exosomes (average = 22.09%) and large vesicles (average = 19.70%). Comparatively, whole plasma, which has been used in most ctDNA studies, showed an average of 23.84% ctDNA content in the same group of patients. To further demonstrate higher ctDNA content in fraction 6, we performed mutational analysis in the plasma samples from 22 non-small cell lung cancer (NSCLC) patients with known EGFR mutations. This analysis confirmed higher mutation detection rates in fraction 6 (14/22) than whole plasma (10/22). This study provides a new insight into potential application of using fractionated plasma for an improved ctDNA detection. Frontiers Media S.A. 2021-06-11 /pmc/articles/PMC8226168/ /pubmed/34178690 http://dx.doi.org/10.3389/fonc.2021.691798 Text en Copyright © 2021 Sun, Du, Kohli, Huang, Chen, Xu, Shen, Wang and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Sun, Li Du, Meijun Kohli, Manish Huang, Chiang-Ching Chen, Xiaoxiang Xu, Mu Shen, Hongbing Wang, Shukui Wang, Liang An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma |
title | An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma |
title_full | An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma |
title_fullStr | An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma |
title_full_unstemmed | An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma |
title_short | An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma |
title_sort | improved detection of circulating tumor dna in extracellular vesicles-depleted plasma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226168/ https://www.ncbi.nlm.nih.gov/pubmed/34178690 http://dx.doi.org/10.3389/fonc.2021.691798 |
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