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Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content
BACKGROUND: Circulating cell-free DNA (cfDNA) in the plasma of cancer patients contains cell-free tumour DNA (ctDNA) derived from tumour cells and it has been widely recognized as a non-invasive source of tumour DNA for diagnosis and prognosis of cancer. Molecular profiling of ctDNA is often perform...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772083/ https://www.ncbi.nlm.nih.gov/pubmed/35057759 http://dx.doi.org/10.1186/s12885-021-09160-1 |
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author | Ganesamoorthy, Devika Robertson, Alan James Chen, Wenhan Hall, Michael B. Cao, Minh Duc Ferguson, Kaltin Lakhani, Sunil R. Nones, Katia Simpson, Peter T. Coin, Lachlan J. M. |
author_facet | Ganesamoorthy, Devika Robertson, Alan James Chen, Wenhan Hall, Michael B. Cao, Minh Duc Ferguson, Kaltin Lakhani, Sunil R. Nones, Katia Simpson, Peter T. Coin, Lachlan J. M. |
author_sort | Ganesamoorthy, Devika |
collection | PubMed |
description | BACKGROUND: Circulating cell-free DNA (cfDNA) in the plasma of cancer patients contains cell-free tumour DNA (ctDNA) derived from tumour cells and it has been widely recognized as a non-invasive source of tumour DNA for diagnosis and prognosis of cancer. Molecular profiling of ctDNA is often performed using targeted sequencing or low-coverage whole genome sequencing (WGS) to identify tumour specific somatic mutations or somatic copy number aberrations (sCNAs). However, these approaches cannot efficiently detect all tumour-derived genomic changes in ctDNA. METHODS: We performed WGS analysis of cfDNA from 4 breast cancer patients and 2 patients with benign tumours. We sequenced matched germline DNA for all 6 patients and tumour samples from the breast cancer patients. All samples were sequenced on Illumina HiSeqXTen sequencing platform and achieved approximately 30x, 60x and 100x coverage on germline, tumour and plasma DNA samples, respectively. RESULTS: The mutational burden of the plasma samples (1.44 somatic mutations/Mb of genome) was higher than the matched tumour samples. However, 90% of high confidence somatic cfDNA variants were not detected in matched tumour samples and were found to comprise two background plasma mutational signatures. In contrast, cfDNA from the di-nucleosome fraction (300 bp–350 bp) had much higher proportion (30%) of variants shared with tumour. Despite high coverage sequencing we were unable to detect sCNAs in plasma samples. CONCLUSIONS: Deep sequencing analysis of plasma samples revealed higher fraction of unique somatic mutations in plasma samples, which were not detected in matched tumour samples. Sequencing of di-nucleosome bound cfDNA fragments may increase recovery of tumour mutations from plasma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09160-1. |
format | Online Article Text |
id | pubmed-8772083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87720832022-01-20 Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content Ganesamoorthy, Devika Robertson, Alan James Chen, Wenhan Hall, Michael B. Cao, Minh Duc Ferguson, Kaltin Lakhani, Sunil R. Nones, Katia Simpson, Peter T. Coin, Lachlan J. M. BMC Cancer Research Article BACKGROUND: Circulating cell-free DNA (cfDNA) in the plasma of cancer patients contains cell-free tumour DNA (ctDNA) derived from tumour cells and it has been widely recognized as a non-invasive source of tumour DNA for diagnosis and prognosis of cancer. Molecular profiling of ctDNA is often performed using targeted sequencing or low-coverage whole genome sequencing (WGS) to identify tumour specific somatic mutations or somatic copy number aberrations (sCNAs). However, these approaches cannot efficiently detect all tumour-derived genomic changes in ctDNA. METHODS: We performed WGS analysis of cfDNA from 4 breast cancer patients and 2 patients with benign tumours. We sequenced matched germline DNA for all 6 patients and tumour samples from the breast cancer patients. All samples were sequenced on Illumina HiSeqXTen sequencing platform and achieved approximately 30x, 60x and 100x coverage on germline, tumour and plasma DNA samples, respectively. RESULTS: The mutational burden of the plasma samples (1.44 somatic mutations/Mb of genome) was higher than the matched tumour samples. However, 90% of high confidence somatic cfDNA variants were not detected in matched tumour samples and were found to comprise two background plasma mutational signatures. In contrast, cfDNA from the di-nucleosome fraction (300 bp–350 bp) had much higher proportion (30%) of variants shared with tumour. Despite high coverage sequencing we were unable to detect sCNAs in plasma samples. CONCLUSIONS: Deep sequencing analysis of plasma samples revealed higher fraction of unique somatic mutations in plasma samples, which were not detected in matched tumour samples. Sequencing of di-nucleosome bound cfDNA fragments may increase recovery of tumour mutations from plasma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09160-1. BioMed Central 2022-01-20 /pmc/articles/PMC8772083/ /pubmed/35057759 http://dx.doi.org/10.1186/s12885-021-09160-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ganesamoorthy, Devika Robertson, Alan James Chen, Wenhan Hall, Michael B. Cao, Minh Duc Ferguson, Kaltin Lakhani, Sunil R. Nones, Katia Simpson, Peter T. Coin, Lachlan J. M. Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content |
title | Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content |
title_full | Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content |
title_fullStr | Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content |
title_full_unstemmed | Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content |
title_short | Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content |
title_sort | whole genome deep sequencing analysis of cell-free dna in samples with low tumour content |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772083/ https://www.ncbi.nlm.nih.gov/pubmed/35057759 http://dx.doi.org/10.1186/s12885-021-09160-1 |
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