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Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

BACKGROUND: Gene fusions represent promising targets for cancer therapy in lung cancer. Reliable detection of multiple gene fusions is therefore essential. METHODS: Five commercially available parallel sequencing assays were evaluated for their ability to detect gene fusions in eight cell lines and...

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Autores principales: Heydt, Carina, Wölwer, Christina B., Velazquez Camacho, Oscar, Wagener-Ryczek, Svenja, Pappesch, Roberto, Siemanowski, Janna, Rehker, Jan, Haller, Florian, Agaimy, Abbas, Worm, Karl, Herold, Thomas, Pfarr, Nicole, Weichert, Wilko, Kirchner, Thomas, Jung, Andreas, Kumbrink, Jörg, Goering, Wolfgang, Esposito, Irene, Buettner, Reinhard, Hillmer, Axel M., Merkelbach-Bruse, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912891/
https://www.ncbi.nlm.nih.gov/pubmed/33639937
http://dx.doi.org/10.1186/s12920-021-00909-y
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author Heydt, Carina
Wölwer, Christina B.
Velazquez Camacho, Oscar
Wagener-Ryczek, Svenja
Pappesch, Roberto
Siemanowski, Janna
Rehker, Jan
Haller, Florian
Agaimy, Abbas
Worm, Karl
Herold, Thomas
Pfarr, Nicole
Weichert, Wilko
Kirchner, Thomas
Jung, Andreas
Kumbrink, Jörg
Goering, Wolfgang
Esposito, Irene
Buettner, Reinhard
Hillmer, Axel M.
Merkelbach-Bruse, Sabine
author_facet Heydt, Carina
Wölwer, Christina B.
Velazquez Camacho, Oscar
Wagener-Ryczek, Svenja
Pappesch, Roberto
Siemanowski, Janna
Rehker, Jan
Haller, Florian
Agaimy, Abbas
Worm, Karl
Herold, Thomas
Pfarr, Nicole
Weichert, Wilko
Kirchner, Thomas
Jung, Andreas
Kumbrink, Jörg
Goering, Wolfgang
Esposito, Irene
Buettner, Reinhard
Hillmer, Axel M.
Merkelbach-Bruse, Sabine
author_sort Heydt, Carina
collection PubMed
description BACKGROUND: Gene fusions represent promising targets for cancer therapy in lung cancer. Reliable detection of multiple gene fusions is therefore essential. METHODS: Five commercially available parallel sequencing assays were evaluated for their ability to detect gene fusions in eight cell lines and 18 FFPE tissue samples carrying a variety of known gene fusions. Four RNA-based assays and one DNA-based assay were compared; two were hybrid capture-based, TruSight Tumor 170 Assay (Illumina) and SureSelect XT HS Custom Panel (Agilent), and three were amplicon-based, Archer FusionPlex Lung Panel (ArcherDX), QIAseq RNAscan Custom Panel (Qiagen) and Oncomine Focus Assay (Thermo Fisher Scientific). RESULTS: The Illumina assay detected all tested fusions and showed the smallest number of false positive results. Both, the ArcherDX and Qiagen panels missed only one fusion event. Among the RNA-based assays, the Qiagen panel had the highest number of false positive events. The Oncomine Focus Assay (Thermo Fisher Scientific) was the least adequate assay for our purposes, seven fusions were not covered by the assay and two fusions were classified as uncertain. The DNA-based SureSelect XT HS Custom Panel (Agilent) missed three fusions and nine fusions were only called by one software version. Additionally, many false positive fusions were observed. CONCLUSIONS: In summary, especially RNA-based parallel sequencing approaches are potent tools for reliable detection of targetable gene fusions in clinical diagnostics.
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spelling pubmed-79128912021-03-02 Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation Heydt, Carina Wölwer, Christina B. Velazquez Camacho, Oscar Wagener-Ryczek, Svenja Pappesch, Roberto Siemanowski, Janna Rehker, Jan Haller, Florian Agaimy, Abbas Worm, Karl Herold, Thomas Pfarr, Nicole Weichert, Wilko Kirchner, Thomas Jung, Andreas Kumbrink, Jörg Goering, Wolfgang Esposito, Irene Buettner, Reinhard Hillmer, Axel M. Merkelbach-Bruse, Sabine BMC Med Genomics Research Article BACKGROUND: Gene fusions represent promising targets for cancer therapy in lung cancer. Reliable detection of multiple gene fusions is therefore essential. METHODS: Five commercially available parallel sequencing assays were evaluated for their ability to detect gene fusions in eight cell lines and 18 FFPE tissue samples carrying a variety of known gene fusions. Four RNA-based assays and one DNA-based assay were compared; two were hybrid capture-based, TruSight Tumor 170 Assay (Illumina) and SureSelect XT HS Custom Panel (Agilent), and three were amplicon-based, Archer FusionPlex Lung Panel (ArcherDX), QIAseq RNAscan Custom Panel (Qiagen) and Oncomine Focus Assay (Thermo Fisher Scientific). RESULTS: The Illumina assay detected all tested fusions and showed the smallest number of false positive results. Both, the ArcherDX and Qiagen panels missed only one fusion event. Among the RNA-based assays, the Qiagen panel had the highest number of false positive events. The Oncomine Focus Assay (Thermo Fisher Scientific) was the least adequate assay for our purposes, seven fusions were not covered by the assay and two fusions were classified as uncertain. The DNA-based SureSelect XT HS Custom Panel (Agilent) missed three fusions and nine fusions were only called by one software version. Additionally, many false positive fusions were observed. CONCLUSIONS: In summary, especially RNA-based parallel sequencing approaches are potent tools for reliable detection of targetable gene fusions in clinical diagnostics. BioMed Central 2021-02-27 /pmc/articles/PMC7912891/ /pubmed/33639937 http://dx.doi.org/10.1186/s12920-021-00909-y Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Heydt, Carina
Wölwer, Christina B.
Velazquez Camacho, Oscar
Wagener-Ryczek, Svenja
Pappesch, Roberto
Siemanowski, Janna
Rehker, Jan
Haller, Florian
Agaimy, Abbas
Worm, Karl
Herold, Thomas
Pfarr, Nicole
Weichert, Wilko
Kirchner, Thomas
Jung, Andreas
Kumbrink, Jörg
Goering, Wolfgang
Esposito, Irene
Buettner, Reinhard
Hillmer, Axel M.
Merkelbach-Bruse, Sabine
Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
title Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
title_full Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
title_fullStr Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
title_full_unstemmed Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
title_short Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
title_sort detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912891/
https://www.ncbi.nlm.nih.gov/pubmed/33639937
http://dx.doi.org/10.1186/s12920-021-00909-y
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