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Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer

A CMS approved test for lung cancer is based on tumor-only analysis of a targeted 35 gene panel, specifically excluding the use of the patient’s normal germline tissue. However, this tumor-only approach increases the risk of mistakenly identifying germline single nucleotide polymorphisms (SNPs) as s...

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Autores principales: Rabizadeh, Shahrooz, Garner, Chad, Sanborn, John Zachary, Benz, Stephen C., Reddy, Sandeep, Soon-Shiong, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922390/
https://www.ncbi.nlm.nih.gov/pubmed/29721196
http://dx.doi.org/10.18632/oncotarget.24973
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author Rabizadeh, Shahrooz
Garner, Chad
Sanborn, John Zachary
Benz, Stephen C.
Reddy, Sandeep
Soon-Shiong, Patrick
author_facet Rabizadeh, Shahrooz
Garner, Chad
Sanborn, John Zachary
Benz, Stephen C.
Reddy, Sandeep
Soon-Shiong, Patrick
author_sort Rabizadeh, Shahrooz
collection PubMed
description A CMS approved test for lung cancer is based on tumor-only analysis of a targeted 35 gene panel, specifically excluding the use of the patient’s normal germline tissue. However, this tumor-only approach increases the risk of mistakenly identifying germline single nucleotide polymorphisms (SNPs) as somatically-derived cancer driver mutations (false positives). 621 patients with 30 different cancer types, including lung cancer, were studied to compare the precision of tumor somatic variant calling in 35 genes using tumor-only DNA sequencing versus tumor-normal DNA plus RNA sequencing. When sequencing of lung cancer was performed using tumor genomes alone without normal germline controls, 94% of variants identified were SNPs and thus false positives. Filtering for common SNPs still resulted in as high as 48% false positive variant calling. With tumor-only sequencing, 29% of lung cancer patients had a false positive variant call in at least one of twelve genes with directly targetable drugs. RNA analysis showed 18% of true somatic variants were not expressed. Thus, sequencing and analysis of both normal germline and tumor genomes is necessary for accurate identification of molecular targets. Treatment decisions based on tumor-only analysis may result in the administration of ineffective therapies while also increasing the risk of negative drug-related side effects.
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spelling pubmed-59223902018-05-02 Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer Rabizadeh, Shahrooz Garner, Chad Sanborn, John Zachary Benz, Stephen C. Reddy, Sandeep Soon-Shiong, Patrick Oncotarget Research Paper A CMS approved test for lung cancer is based on tumor-only analysis of a targeted 35 gene panel, specifically excluding the use of the patient’s normal germline tissue. However, this tumor-only approach increases the risk of mistakenly identifying germline single nucleotide polymorphisms (SNPs) as somatically-derived cancer driver mutations (false positives). 621 patients with 30 different cancer types, including lung cancer, were studied to compare the precision of tumor somatic variant calling in 35 genes using tumor-only DNA sequencing versus tumor-normal DNA plus RNA sequencing. When sequencing of lung cancer was performed using tumor genomes alone without normal germline controls, 94% of variants identified were SNPs and thus false positives. Filtering for common SNPs still resulted in as high as 48% false positive variant calling. With tumor-only sequencing, 29% of lung cancer patients had a false positive variant call in at least one of twelve genes with directly targetable drugs. RNA analysis showed 18% of true somatic variants were not expressed. Thus, sequencing and analysis of both normal germline and tumor genomes is necessary for accurate identification of molecular targets. Treatment decisions based on tumor-only analysis may result in the administration of ineffective therapies while also increasing the risk of negative drug-related side effects. Impact Journals LLC 2018-04-10 /pmc/articles/PMC5922390/ /pubmed/29721196 http://dx.doi.org/10.18632/oncotarget.24973 Text en Copyright: © 2018 Rabizadeh et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Rabizadeh, Shahrooz
Garner, Chad
Sanborn, John Zachary
Benz, Stephen C.
Reddy, Sandeep
Soon-Shiong, Patrick
Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
title Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
title_full Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
title_fullStr Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
title_full_unstemmed Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
title_short Comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
title_sort comprehensive genomic transcriptomic tumor-normal gene panel analysis for enhanced precision in patients with lung cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922390/
https://www.ncbi.nlm.nih.gov/pubmed/29721196
http://dx.doi.org/10.18632/oncotarget.24973
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