Comprehensive Validation of Diagnostic Next-Generation Sequencing Panels for Acute Myeloid Leukemia Patients.


Journal

The Journal of molecular diagnostics : JMD
ISSN: 1943-7811
Titre abrégé: J Mol Diagn
Pays: United States
ID NLM: 100893612

Informations de publication

Date de publication:
08 2022
Historique:
received: 24 09 2021
revised: 11 03 2022
accepted: 06 05 2022
pubmed: 20 6 2022
medline: 10 8 2022
entrez: 19 6 2022
Statut: ppublish

Résumé

Next-generation sequencing has greatly advanced the molecular diagnostics of malignant hematological diseases and provides useful information for clinical decision making. Studies have shown that certain mutations are associated with prognosis and have a direct impact on treatment of affected patients. Therefore, reliable detection of pathogenic variants is critically important. Here, we compared four sequencing panels with different characteristics, from number of genes covered to technical aspects of library preparation and data analysis workflows, to find the panel with the best clinical utility for myeloid neoplasms with a special focus on acute myeloid leukemia. Using the Acrometrix Oncology Hotspot Control DNA and DNA from acute myeloid leukemia patients, panel performance was evaluated in terms of coverage, precision, recall, and reproducibility and different bioinformatics tools that can be used for the evaluation of any next-generation sequencing panel were tested. Taken together, our results support the reliability of the Acrometrix Oncology Hotspot Control to validate and compare sequencing panels for hematological diseases and show which panel-software combination (platform) has the best performance.

Identifiants

pubmed: 35718092
pii: S1525-1578(22)00159-3
doi: 10.1016/j.jmoldx.2022.05.003
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

935-954

Informations de copyright

Copyright © 2022 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Auteurs

Ulrich Wagner (U)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Christine Wong (C)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Ulrike Camenisch (U)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Kathrin Zimmermann (K)

Division of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland.

Markus Rechsteiner (M)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Nadejda Valtcheva (N)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Alexandre Theocharides (A)

Division of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland.

Corinne C Widmer (CC)

Division of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland.

Markus G Manz (MG)

Division of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland.

Holger Moch (H)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Peter J Wild (PJ)

Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany; Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany; Wildlab, University Hospital Frankfurt MVZ GmbH, Frankfurt am Main, Germany. Electronic address: peter.wild@kgu.de.

Stefan Balabanov (S)

Division of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland. Electronic address: stefan.balabanov@usz.ch.

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Classifications MeSH