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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-7912891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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