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Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity
Recently we reported the accuracy and reproducibility of circulating tumor DNA (ctDNA) assays using a unique set of reference materials, associated analytical framework, and suggested best practices. With the rapid adoption of ctDNA sequencing in precision oncology, it is critical to understand the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008010/ https://www.ncbi.nlm.nih.gov/pubmed/35418127 http://dx.doi.org/10.1038/s41597-022-01276-8 |
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author | Gong, Binsheng Deveson, Ira W. Mercer, Timothy Johann, Donald J. Jones, Wendell Tong, Weida Xu, Joshua |
author_facet | Gong, Binsheng Deveson, Ira W. Mercer, Timothy Johann, Donald J. Jones, Wendell Tong, Weida Xu, Joshua |
author_sort | Gong, Binsheng |
collection | PubMed |
description | Recently we reported the accuracy and reproducibility of circulating tumor DNA (ctDNA) assays using a unique set of reference materials, associated analytical framework, and suggested best practices. With the rapid adoption of ctDNA sequencing in precision oncology, it is critical to understand the analytical validity and technical limitations of this cutting-edge and medical-practice-changing technology. The SEQC2 Oncopanel Sequencing Working Group has developed a multi-site, cross-platform study design for evaluating the analytical performance of five industry-leading ctDNA assays. The study used tailor-made reference samples at various levels of input material to assess ctDNA sequencing across 12 participating clinical and research facilities. The generated dataset encompasses multiple key variables, including a broad range of mutation frequencies, sequencing coverage depth, DNA input quantity, etc. It is the most comprehensive public-facing dataset of its kind and provides valuable insights into ultra-deep ctDNA sequencing technology. Eventually the clinical utility of ctDNA assays is required and our proficiency study and corresponding dataset are needed steps towards this goal. |
format | Online Article Text |
id | pubmed-9008010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90080102022-04-27 Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity Gong, Binsheng Deveson, Ira W. Mercer, Timothy Johann, Donald J. Jones, Wendell Tong, Weida Xu, Joshua Sci Data Data Descriptor Recently we reported the accuracy and reproducibility of circulating tumor DNA (ctDNA) assays using a unique set of reference materials, associated analytical framework, and suggested best practices. With the rapid adoption of ctDNA sequencing in precision oncology, it is critical to understand the analytical validity and technical limitations of this cutting-edge and medical-practice-changing technology. The SEQC2 Oncopanel Sequencing Working Group has developed a multi-site, cross-platform study design for evaluating the analytical performance of five industry-leading ctDNA assays. The study used tailor-made reference samples at various levels of input material to assess ctDNA sequencing across 12 participating clinical and research facilities. The generated dataset encompasses multiple key variables, including a broad range of mutation frequencies, sequencing coverage depth, DNA input quantity, etc. It is the most comprehensive public-facing dataset of its kind and provides valuable insights into ultra-deep ctDNA sequencing technology. Eventually the clinical utility of ctDNA assays is required and our proficiency study and corresponding dataset are needed steps towards this goal. Nature Publishing Group UK 2022-04-13 /pmc/articles/PMC9008010/ /pubmed/35418127 http://dx.doi.org/10.1038/s41597-022-01276-8 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Gong, Binsheng Deveson, Ira W. Mercer, Timothy Johann, Donald J. Jones, Wendell Tong, Weida Xu, Joshua Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
title | Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
title_full | Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
title_fullStr | Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
title_full_unstemmed | Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
title_short | Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
title_sort | ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008010/ https://www.ncbi.nlm.nih.gov/pubmed/35418127 http://dx.doi.org/10.1038/s41597-022-01276-8 |
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