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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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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. |
format | Online Article Text |
id | pubmed-5922390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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