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Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients
A growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmentation-based detection of copy number alterations (CNAs), and...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589320/ https://www.ncbi.nlm.nih.gov/pubmed/37864096 http://dx.doi.org/10.1038/s41698-023-00457-x |
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author | Menzel, Michael Ossowski, Stephan Kral, Sebastian Metzger, Patrick Horak, Peter Marienfeld, Ralf Boerries, Melanie Wolter, Steffen Ball, Markus Neumann, Olaf Armeanu-Ebinger, Sorin Schroeder, Christopher Matysiak, Uta Goldschmid, Hannah Schipperges, Vincent Fürstberger, Axel Allgäuer, Michael Eberhardt, Timo Niewöhner, Jakob Blaumeiser, Andreas Ploeger, Carolin Haack, Tobias Bernd Tay, Timothy Kwang Yong Kelemen, Olga Pauli, Thomas Kirchner, Martina Kluck, Klaus Ott, Alexander Renner, Marcus Admard, Jakob Gschwind, Axel Lassmann, Silke Kestler, Hans Fend, Falko Illert, Anna Lena Werner, Martin Möller, Peter Seufferlein, Thomas Theodor Werner Malek, Nisar Schirmacher, Peter Fröhling, Stefan Kazdal, Daniel Budczies, Jan Stenzinger, Albrecht |
author_facet | Menzel, Michael Ossowski, Stephan Kral, Sebastian Metzger, Patrick Horak, Peter Marienfeld, Ralf Boerries, Melanie Wolter, Steffen Ball, Markus Neumann, Olaf Armeanu-Ebinger, Sorin Schroeder, Christopher Matysiak, Uta Goldschmid, Hannah Schipperges, Vincent Fürstberger, Axel Allgäuer, Michael Eberhardt, Timo Niewöhner, Jakob Blaumeiser, Andreas Ploeger, Carolin Haack, Tobias Bernd Tay, Timothy Kwang Yong Kelemen, Olga Pauli, Thomas Kirchner, Martina Kluck, Klaus Ott, Alexander Renner, Marcus Admard, Jakob Gschwind, Axel Lassmann, Silke Kestler, Hans Fend, Falko Illert, Anna Lena Werner, Martin Möller, Peter Seufferlein, Thomas Theodor Werner Malek, Nisar Schirmacher, Peter Fröhling, Stefan Kazdal, Daniel Budczies, Jan Stenzinger, Albrecht |
author_sort | Menzel, Michael |
collection | PubMed |
description | A growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmentation-based detection of copy number alterations (CNAs), and accurate determination of complex biomarkers including tumor mutational burden (TMB), homologous recombination repair deficiency (HRD), and microsatellite instability (MSI). To assess the inter-institution variability of clinical WES, we performed a comparative pilot study between German Centers of Personalized Medicine (ZPMs) from five participating institutions. Tumor and matched normal DNA from 30 patients were analyzed using custom sequencing protocols and bioinformatic pipelines. Calling of somatic variants was highly concordant with a positive percentage agreement (PPA) between 91 and 95% and a positive predictive value (PPV) between 82 and 95% compared with a three-institution consensus and full agreement for 16 of 17 druggable targets. Explanations for deviations included low VAF or coverage, differing annotations, and different filter protocols. CNAs showed overall agreement in 76% for the genomic sequence with high wet-lab variability. Complex biomarkers correlated strongly between institutions (HRD: 0.79–1, TMB: 0.97–0.99) and all institutions agreed on microsatellite instability. This study will contribute to the development of quality control frameworks for comprehensive genomic profiling and sheds light onto parameters that require stringent standardization. |
format | Online Article Text |
id | pubmed-10589320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105893202023-10-22 Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients Menzel, Michael Ossowski, Stephan Kral, Sebastian Metzger, Patrick Horak, Peter Marienfeld, Ralf Boerries, Melanie Wolter, Steffen Ball, Markus Neumann, Olaf Armeanu-Ebinger, Sorin Schroeder, Christopher Matysiak, Uta Goldschmid, Hannah Schipperges, Vincent Fürstberger, Axel Allgäuer, Michael Eberhardt, Timo Niewöhner, Jakob Blaumeiser, Andreas Ploeger, Carolin Haack, Tobias Bernd Tay, Timothy Kwang Yong Kelemen, Olga Pauli, Thomas Kirchner, Martina Kluck, Klaus Ott, Alexander Renner, Marcus Admard, Jakob Gschwind, Axel Lassmann, Silke Kestler, Hans Fend, Falko Illert, Anna Lena Werner, Martin Möller, Peter Seufferlein, Thomas Theodor Werner Malek, Nisar Schirmacher, Peter Fröhling, Stefan Kazdal, Daniel Budczies, Jan Stenzinger, Albrecht NPJ Precis Oncol Article A growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmentation-based detection of copy number alterations (CNAs), and accurate determination of complex biomarkers including tumor mutational burden (TMB), homologous recombination repair deficiency (HRD), and microsatellite instability (MSI). To assess the inter-institution variability of clinical WES, we performed a comparative pilot study between German Centers of Personalized Medicine (ZPMs) from five participating institutions. Tumor and matched normal DNA from 30 patients were analyzed using custom sequencing protocols and bioinformatic pipelines. Calling of somatic variants was highly concordant with a positive percentage agreement (PPA) between 91 and 95% and a positive predictive value (PPV) between 82 and 95% compared with a three-institution consensus and full agreement for 16 of 17 druggable targets. Explanations for deviations included low VAF or coverage, differing annotations, and different filter protocols. CNAs showed overall agreement in 76% for the genomic sequence with high wet-lab variability. Complex biomarkers correlated strongly between institutions (HRD: 0.79–1, TMB: 0.97–0.99) and all institutions agreed on microsatellite instability. This study will contribute to the development of quality control frameworks for comprehensive genomic profiling and sheds light onto parameters that require stringent standardization. Nature Publishing Group UK 2023-10-20 /pmc/articles/PMC10589320/ /pubmed/37864096 http://dx.doi.org/10.1038/s41698-023-00457-x Text en © The Author(s) 2023 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 | Article Menzel, Michael Ossowski, Stephan Kral, Sebastian Metzger, Patrick Horak, Peter Marienfeld, Ralf Boerries, Melanie Wolter, Steffen Ball, Markus Neumann, Olaf Armeanu-Ebinger, Sorin Schroeder, Christopher Matysiak, Uta Goldschmid, Hannah Schipperges, Vincent Fürstberger, Axel Allgäuer, Michael Eberhardt, Timo Niewöhner, Jakob Blaumeiser, Andreas Ploeger, Carolin Haack, Tobias Bernd Tay, Timothy Kwang Yong Kelemen, Olga Pauli, Thomas Kirchner, Martina Kluck, Klaus Ott, Alexander Renner, Marcus Admard, Jakob Gschwind, Axel Lassmann, Silke Kestler, Hans Fend, Falko Illert, Anna Lena Werner, Martin Möller, Peter Seufferlein, Thomas Theodor Werner Malek, Nisar Schirmacher, Peter Fröhling, Stefan Kazdal, Daniel Budczies, Jan Stenzinger, Albrecht Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients |
title | Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients |
title_full | Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients |
title_fullStr | Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients |
title_full_unstemmed | Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients |
title_short | Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients |
title_sort | multicentric pilot study to standardize clinical whole exome sequencing (wes) for cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589320/ https://www.ncbi.nlm.nih.gov/pubmed/37864096 http://dx.doi.org/10.1038/s41698-023-00457-x |
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