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Diagnosis of fusion genes using targeted RNA sequencing
Fusion genes are a major cause of cancer. Their rapid and accurate diagnosis can inform clinical action, but current molecular diagnostic assays are restricted in resolution and throughput. Here, we show that targeted RNA sequencing (RNAseq) can overcome these limitations. First, we establish that f...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437215/ https://www.ncbi.nlm.nih.gov/pubmed/30918253 http://dx.doi.org/10.1038/s41467-019-09374-9 |
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author | Heyer, Erin E. Deveson, Ira W. Wooi, Danson Selinger, Christina I. Lyons, Ruth J. Hayes, Vanessa M. O’Toole, Sandra A. Ballinger, Mandy L. Gill, Devinder Thomas, David M. Mercer, Tim R. Blackburn, James |
author_facet | Heyer, Erin E. Deveson, Ira W. Wooi, Danson Selinger, Christina I. Lyons, Ruth J. Hayes, Vanessa M. O’Toole, Sandra A. Ballinger, Mandy L. Gill, Devinder Thomas, David M. Mercer, Tim R. Blackburn, James |
author_sort | Heyer, Erin E. |
collection | PubMed |
description | Fusion genes are a major cause of cancer. Their rapid and accurate diagnosis can inform clinical action, but current molecular diagnostic assays are restricted in resolution and throughput. Here, we show that targeted RNA sequencing (RNAseq) can overcome these limitations. First, we establish that fusion gene detection with targeted RNAseq is both sensitive and quantitative by optimising laboratory and bioinformatic variables using spike-in standards and cell lines. Next, we analyse a clinical patient cohort and improve the overall fusion gene diagnostic rate from 63% with conventional approaches to 76% with targeted RNAseq while demonstrating high concordance for patient samples with previous diagnoses. Finally, we show that targeted RNAseq offers additional advantages by simultaneously measuring gene expression levels and profiling the immune-receptor repertoire. We anticipate that targeted RNAseq will improve clinical fusion gene detection, and its increasing use will provide a deeper understanding of fusion gene biology. |
format | Online Article Text |
id | pubmed-6437215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64372152019-03-29 Diagnosis of fusion genes using targeted RNA sequencing Heyer, Erin E. Deveson, Ira W. Wooi, Danson Selinger, Christina I. Lyons, Ruth J. Hayes, Vanessa M. O’Toole, Sandra A. Ballinger, Mandy L. Gill, Devinder Thomas, David M. Mercer, Tim R. Blackburn, James Nat Commun Article Fusion genes are a major cause of cancer. Their rapid and accurate diagnosis can inform clinical action, but current molecular diagnostic assays are restricted in resolution and throughput. Here, we show that targeted RNA sequencing (RNAseq) can overcome these limitations. First, we establish that fusion gene detection with targeted RNAseq is both sensitive and quantitative by optimising laboratory and bioinformatic variables using spike-in standards and cell lines. Next, we analyse a clinical patient cohort and improve the overall fusion gene diagnostic rate from 63% with conventional approaches to 76% with targeted RNAseq while demonstrating high concordance for patient samples with previous diagnoses. Finally, we show that targeted RNAseq offers additional advantages by simultaneously measuring gene expression levels and profiling the immune-receptor repertoire. We anticipate that targeted RNAseq will improve clinical fusion gene detection, and its increasing use will provide a deeper understanding of fusion gene biology. Nature Publishing Group UK 2019-03-27 /pmc/articles/PMC6437215/ /pubmed/30918253 http://dx.doi.org/10.1038/s41467-019-09374-9 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Heyer, Erin E. Deveson, Ira W. Wooi, Danson Selinger, Christina I. Lyons, Ruth J. Hayes, Vanessa M. O’Toole, Sandra A. Ballinger, Mandy L. Gill, Devinder Thomas, David M. Mercer, Tim R. Blackburn, James Diagnosis of fusion genes using targeted RNA sequencing |
title | Diagnosis of fusion genes using targeted RNA sequencing |
title_full | Diagnosis of fusion genes using targeted RNA sequencing |
title_fullStr | Diagnosis of fusion genes using targeted RNA sequencing |
title_full_unstemmed | Diagnosis of fusion genes using targeted RNA sequencing |
title_short | Diagnosis of fusion genes using targeted RNA sequencing |
title_sort | diagnosis of fusion genes using targeted rna sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437215/ https://www.ncbi.nlm.nih.gov/pubmed/30918253 http://dx.doi.org/10.1038/s41467-019-09374-9 |
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