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Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients
Here, we describe a novel approach for rapid discovery of a set of tumor-specific genomic structural variants (SVs), based on a combination of low coverage cancer genome sequencing using Oxford Nanopore with an SV calling and filtering pipeline. We applied the method to tumor samples of high-grade o...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130429/ https://www.ncbi.nlm.nih.gov/pubmed/34006333 http://dx.doi.org/10.1186/s13073-021-00899-7 |
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author | Valle-Inclan, Jose Espejo Stangl, Christina de Jong, Anouk C. van Dessel, Lisanne F. van Roosmalen, Markus J. Helmijr, Jean C. A. Renkens, Ivo Janssen, Roel de Blank, Sam de Witte, Chris J. Martens, John W. M. Jansen, Maurice P. H. M. Lolkema, Martijn P. Kloosterman, Wigard P. |
author_facet | Valle-Inclan, Jose Espejo Stangl, Christina de Jong, Anouk C. van Dessel, Lisanne F. van Roosmalen, Markus J. Helmijr, Jean C. A. Renkens, Ivo Janssen, Roel de Blank, Sam de Witte, Chris J. Martens, John W. M. Jansen, Maurice P. H. M. Lolkema, Martijn P. Kloosterman, Wigard P. |
author_sort | Valle-Inclan, Jose Espejo |
collection | PubMed |
description | Here, we describe a novel approach for rapid discovery of a set of tumor-specific genomic structural variants (SVs), based on a combination of low coverage cancer genome sequencing using Oxford Nanopore with an SV calling and filtering pipeline. We applied the method to tumor samples of high-grade ovarian and prostate cancer patients and validated on average ten somatic SVs per patient with breakpoint-spanning PCR mini-amplicons. These SVs could be quantified in ctDNA samples of patients with metastatic prostate cancer using a digital PCR assay. The results suggest that SV dynamics correlate with and may improve existing treatment-response biomarkers such as PSA. https://github.com/UMCUGenetics/SHARC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00899-7. |
format | Online Article Text |
id | pubmed-8130429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81304292021-05-19 Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients Valle-Inclan, Jose Espejo Stangl, Christina de Jong, Anouk C. van Dessel, Lisanne F. van Roosmalen, Markus J. Helmijr, Jean C. A. Renkens, Ivo Janssen, Roel de Blank, Sam de Witte, Chris J. Martens, John W. M. Jansen, Maurice P. H. M. Lolkema, Martijn P. Kloosterman, Wigard P. Genome Med Method Here, we describe a novel approach for rapid discovery of a set of tumor-specific genomic structural variants (SVs), based on a combination of low coverage cancer genome sequencing using Oxford Nanopore with an SV calling and filtering pipeline. We applied the method to tumor samples of high-grade ovarian and prostate cancer patients and validated on average ten somatic SVs per patient with breakpoint-spanning PCR mini-amplicons. These SVs could be quantified in ctDNA samples of patients with metastatic prostate cancer using a digital PCR assay. The results suggest that SV dynamics correlate with and may improve existing treatment-response biomarkers such as PSA. https://github.com/UMCUGenetics/SHARC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00899-7. BioMed Central 2021-05-18 /pmc/articles/PMC8130429/ /pubmed/34006333 http://dx.doi.org/10.1186/s13073-021-00899-7 Text en © The Author(s) 2021 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 | Method Valle-Inclan, Jose Espejo Stangl, Christina de Jong, Anouk C. van Dessel, Lisanne F. van Roosmalen, Markus J. Helmijr, Jean C. A. Renkens, Ivo Janssen, Roel de Blank, Sam de Witte, Chris J. Martens, John W. M. Jansen, Maurice P. H. M. Lolkema, Martijn P. Kloosterman, Wigard P. Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients |
title | Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients |
title_full | Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients |
title_fullStr | Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients |
title_full_unstemmed | Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients |
title_short | Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients |
title_sort | optimizing nanopore sequencing-based detection of structural variants enables individualized circulating tumor dna-based disease monitoring in cancer patients |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130429/ https://www.ncbi.nlm.nih.gov/pubmed/34006333 http://dx.doi.org/10.1186/s13073-021-00899-7 |
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