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Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients

Authors :
Michael Menzel
Stephan Ossowski
Sebastian Kral
Patrick Metzger
Peter Horak
Ralf Marienfeld
Melanie Boerries
Steffen Wolter
Markus Ball
Olaf Neumann
Sorin Armeanu-Ebinger
Christopher Schroeder
Uta Matysiak
Hannah Goldschmid
Vincent Schipperges
Axel Fürstberger
Michael Allgäuer
Timo Eberhardt
Jakob Niewöhner
Andreas Blaumeiser
Carolin Ploeger
Tobias Bernd Haack
Timothy Kwang Yong Tay
Olga Kelemen
Thomas Pauli
Martina Kirchner
Klaus Kluck
Alexander Ott
Marcus Renner
Jakob Admard
Axel Gschwind
Silke Lassmann
Hans Kestler
Falko Fend
Anna Lena Illert
Martin Werner
Peter Möller
Thomas Theodor Werner Seufferlein
Nisar Malek
Peter Schirmacher
Stefan Fröhling
Daniel Kazdal
Jan Budczies
Albrecht Stenzinger
Source :
npj Precision Oncology, Vol 7, Iss 1, Pp 1-11 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
2397768X
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Precision Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.80cfb96a9be48f6bbb8329e92275143
Document Type :
article
Full Text :
https://doi.org/10.1038/s41698-023-00457-x