Cargando…
Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer
Lung cancer accounts for approximately 14% of all newly diagnosed cancers and is the leading cause of cancer-related deaths. Chimeric RNA resulting from gene fusions (RNA fusions) and other RNA splicing errors are driver events and clinically addressable targets for non–small cell lung cancer (NSCLC...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Investigative Pathology
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057224/ https://www.ncbi.nlm.nih.gov/pubmed/30529127 http://dx.doi.org/10.1016/j.jmoldx.2018.10.003 |
_version_ | 1783503617479671808 |
---|---|
author | Blidner, Richard A. Haynes, Brian C. Hyter, Stephen Schmitt, Sarah Pessetto, Ziyan Y. Godwin, Andrew K. Su, Dan Hurban, Patrick van Kempen, Léon C. Aguirre, Maria L. Gokul, Shobha Cardwell, Robyn D. Latham, Gary J. |
author_facet | Blidner, Richard A. Haynes, Brian C. Hyter, Stephen Schmitt, Sarah Pessetto, Ziyan Y. Godwin, Andrew K. Su, Dan Hurban, Patrick van Kempen, Léon C. Aguirre, Maria L. Gokul, Shobha Cardwell, Robyn D. Latham, Gary J. |
author_sort | Blidner, Richard A. |
collection | PubMed |
description | Lung cancer accounts for approximately 14% of all newly diagnosed cancers and is the leading cause of cancer-related deaths. Chimeric RNA resulting from gene fusions (RNA fusions) and other RNA splicing errors are driver events and clinically addressable targets for non–small cell lung cancer (NSCLC). The reliable assessment of these RNA markers by next-generation sequencing requires integrated reagents, protocols, and interpretive software that can harmonize procedures and ensure consistent results across laboratories. We describe the development and verification of a system for targeted RNA sequencing for the analysis of challenging, low-input solid tumor biopsies that includes reagents for nucleic acid quantification and library preparation, run controls, and companion bioinformatics software. Assay development reconciled sequence discrepancies in public databases, created predictive formalin-fixed, paraffin-embedded RNA qualification metrics, and eliminated read misidentification attributable to index hopping events on the next-generation sequencing flow cell. The optimized and standardized system was analytically verified internally and in a multiphase study conducted at five independent laboratories. The results show accurate, reproducible, and sensitive detection of RNA fusions, alternative splicing events, and other expression markers of NSCLC. This comprehensive approach, combining sample quantification, quality control, library preparation, and interpretive bioinformatics software, may accelerate the routine implementation of targeted RNA sequencing of formalin-fixed, paraffin-embedded samples relevant to NSCLC. |
format | Online Article Text |
id | pubmed-7057224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Society for Investigative Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-70572242020-03-09 Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer Blidner, Richard A. Haynes, Brian C. Hyter, Stephen Schmitt, Sarah Pessetto, Ziyan Y. Godwin, Andrew K. Su, Dan Hurban, Patrick van Kempen, Léon C. Aguirre, Maria L. Gokul, Shobha Cardwell, Robyn D. Latham, Gary J. J Mol Diagn Article Lung cancer accounts for approximately 14% of all newly diagnosed cancers and is the leading cause of cancer-related deaths. Chimeric RNA resulting from gene fusions (RNA fusions) and other RNA splicing errors are driver events and clinically addressable targets for non–small cell lung cancer (NSCLC). The reliable assessment of these RNA markers by next-generation sequencing requires integrated reagents, protocols, and interpretive software that can harmonize procedures and ensure consistent results across laboratories. We describe the development and verification of a system for targeted RNA sequencing for the analysis of challenging, low-input solid tumor biopsies that includes reagents for nucleic acid quantification and library preparation, run controls, and companion bioinformatics software. Assay development reconciled sequence discrepancies in public databases, created predictive formalin-fixed, paraffin-embedded RNA qualification metrics, and eliminated read misidentification attributable to index hopping events on the next-generation sequencing flow cell. The optimized and standardized system was analytically verified internally and in a multiphase study conducted at five independent laboratories. The results show accurate, reproducible, and sensitive detection of RNA fusions, alternative splicing events, and other expression markers of NSCLC. This comprehensive approach, combining sample quantification, quality control, library preparation, and interpretive bioinformatics software, may accelerate the routine implementation of targeted RNA sequencing of formalin-fixed, paraffin-embedded samples relevant to NSCLC. American Society for Investigative Pathology 2019-03 /pmc/articles/PMC7057224/ /pubmed/30529127 http://dx.doi.org/10.1016/j.jmoldx.2018.10.003 Text en © 2019 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Blidner, Richard A. Haynes, Brian C. Hyter, Stephen Schmitt, Sarah Pessetto, Ziyan Y. Godwin, Andrew K. Su, Dan Hurban, Patrick van Kempen, Léon C. Aguirre, Maria L. Gokul, Shobha Cardwell, Robyn D. Latham, Gary J. Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer |
title | Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer |
title_full | Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer |
title_fullStr | Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer |
title_full_unstemmed | Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer |
title_short | Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer |
title_sort | design, optimization, and multisite evaluation of a targeted next-generation sequencing assay system for chimeric rnas from gene fusions and exon-skipping events in non–small cell lung cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057224/ https://www.ncbi.nlm.nih.gov/pubmed/30529127 http://dx.doi.org/10.1016/j.jmoldx.2018.10.003 |
work_keys_str_mv | AT blidnerricharda designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT haynesbrianc designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT hyterstephen designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT schmittsarah designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT pessettoziyany designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT godwinandrewk designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT sudan designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT hurbanpatrick designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT vankempenleonc designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT aguirremarial designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT gokulshobha designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT cardwellrobynd designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer AT lathamgaryj designoptimizationandmultisiteevaluationofatargetednextgenerationsequencingassaysystemforchimericrnasfromgenefusionsandexonskippingeventsinnonsmallcelllungcancer |