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Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients
被引:0
|作者:
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
机构:
[1] Heidelberg University Hospital,Institute of Pathology
[2] Center for Personalized Medicine (ZPM),Institute of Medical Genetics and Applied Genomics
[3] University of Tübingen,Institute for Bioinformatics and Medical Informatics (IBMI)
[4] Center for Personalized Medicine (ZPM),Institute for Surgical Pathology, Medical Center
[5] University of Tübingen,Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center – University of Freiburg, Faculty of Medicine
[6] University of Freiburg,Division of Translational Medical Oncology
[7] Center for Personalized Medicine (ZPM),Institute of Pathology
[8] University of Freiburg,Comprehensive Cancer Center Freiburg (CCCF), Medical Center
[9] German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), University of Freiburg, Faculty of Medicine
[10] German Cancer Consortium (DKTK),German Cancer Consortium (DKTK) Partner Site Freiburg
[11] University Hospital Ulm,Institute of Medical Systems Biology
[12] Center for Personalized Medicine (ZPM),Department of Anatomical Pathology
[13] University of Freiburg,Institute of Pathology and Neuropathology
[14] and German Cancer Research Center (DKFZ),Department of Medicine I, Medical Center
[15] Ulm University,University of Freiburg, Faculty of Medicine
[16] Singapore General Hospital,Medical Department for Hematology and Oncology, Klinikum Rechts der Isar
[17] University Hospital Tübingen,German Cancer Consortium (DKTK) Partner Site Munich
[18] University of Freiburg,Department of Internal Medicine I
[19] Technische Universität München,Department of Internal Medicine I
[20] and German Cancer Research Center (DKFZ),undefined
[21] University of Ulm,undefined
[22] University Hospital Tübingen,undefined
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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.
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