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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...

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Autores principales: Gong, Binsheng, Deveson, Ira W., Mercer, Timothy, Johann, Donald J., Jones, Wendell, Tong, Weida, Xu, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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