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Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer

ALK, ROS1 and RET gene fusions are important predictive biomarkers for tyrosine kinase inhibitors in lung cancer. Currently, the gold standard method for gene fusion detection is Fluorescence In Situ Hybridization (FISH) and while highly sensitive and specific, it is also labour intensive, subjectiv...

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Autores principales: Rogers, Toni-Maree, Arnau, Gisela Mir, Ryland, Georgina L., Huang, Stephen, Lira, Maruja E., Emmanuel, Yvette, Perez, Omar D., Irwin, Darryl, Fellowes, Andrew P., Wong, Stephen Q., Fox, Stephen B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299839/
https://www.ncbi.nlm.nih.gov/pubmed/28181564
http://dx.doi.org/10.1038/srep42259
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author Rogers, Toni-Maree
Arnau, Gisela Mir
Ryland, Georgina L.
Huang, Stephen
Lira, Maruja E.
Emmanuel, Yvette
Perez, Omar D.
Irwin, Darryl
Fellowes, Andrew P.
Wong, Stephen Q.
Fox, Stephen B.
author_facet Rogers, Toni-Maree
Arnau, Gisela Mir
Ryland, Georgina L.
Huang, Stephen
Lira, Maruja E.
Emmanuel, Yvette
Perez, Omar D.
Irwin, Darryl
Fellowes, Andrew P.
Wong, Stephen Q.
Fox, Stephen B.
author_sort Rogers, Toni-Maree
collection PubMed
description ALK, ROS1 and RET gene fusions are important predictive biomarkers for tyrosine kinase inhibitors in lung cancer. Currently, the gold standard method for gene fusion detection is Fluorescence In Situ Hybridization (FISH) and while highly sensitive and specific, it is also labour intensive, subjective in analysis, and unable to screen a large numbers of gene fusions. Recent developments in high-throughput transcriptome-based methods may provide a suitable alternative to FISH as they are compatible with multiplexing and diagnostic workflows. However, the concordance between these different methods compared with FISH has not been evaluated. In this study we compared the results from three transcriptome-based platforms (Nanostring Elements, Agena LungFusion panel and ThermoFisher NGS fusion panel) to those obtained from ALK, ROS1 and RET FISH on 51 clinical specimens. Overall agreement of results ranged from 86–96% depending on the platform used. While all platforms were highly sensitive, both the Agena panel and Thermo Fisher NGS fusion panel reported minor fusions that were not detectable by FISH. Our proof–of–principle study illustrates that transcriptome-based analyses are sensitive and robust methods for detecting actionable gene fusions in lung cancer and could provide a robust alternative to FISH testing in the diagnostic setting.
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spelling pubmed-52998392017-02-13 Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer Rogers, Toni-Maree Arnau, Gisela Mir Ryland, Georgina L. Huang, Stephen Lira, Maruja E. Emmanuel, Yvette Perez, Omar D. Irwin, Darryl Fellowes, Andrew P. Wong, Stephen Q. Fox, Stephen B. Sci Rep Article ALK, ROS1 and RET gene fusions are important predictive biomarkers for tyrosine kinase inhibitors in lung cancer. Currently, the gold standard method for gene fusion detection is Fluorescence In Situ Hybridization (FISH) and while highly sensitive and specific, it is also labour intensive, subjective in analysis, and unable to screen a large numbers of gene fusions. Recent developments in high-throughput transcriptome-based methods may provide a suitable alternative to FISH as they are compatible with multiplexing and diagnostic workflows. However, the concordance between these different methods compared with FISH has not been evaluated. In this study we compared the results from three transcriptome-based platforms (Nanostring Elements, Agena LungFusion panel and ThermoFisher NGS fusion panel) to those obtained from ALK, ROS1 and RET FISH on 51 clinical specimens. Overall agreement of results ranged from 86–96% depending on the platform used. While all platforms were highly sensitive, both the Agena panel and Thermo Fisher NGS fusion panel reported minor fusions that were not detectable by FISH. Our proof–of–principle study illustrates that transcriptome-based analyses are sensitive and robust methods for detecting actionable gene fusions in lung cancer and could provide a robust alternative to FISH testing in the diagnostic setting. Nature Publishing Group 2017-02-09 /pmc/articles/PMC5299839/ /pubmed/28181564 http://dx.doi.org/10.1038/srep42259 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Rogers, Toni-Maree
Arnau, Gisela Mir
Ryland, Georgina L.
Huang, Stephen
Lira, Maruja E.
Emmanuel, Yvette
Perez, Omar D.
Irwin, Darryl
Fellowes, Andrew P.
Wong, Stephen Q.
Fox, Stephen B.
Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer
title Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer
title_full Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer
title_fullStr Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer
title_full_unstemmed Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer
title_short Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer
title_sort multiplexed transcriptome analysis to detect alk, ros1 and ret rearrangements in lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299839/
https://www.ncbi.nlm.nih.gov/pubmed/28181564
http://dx.doi.org/10.1038/srep42259
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