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Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers

BACKGROUND: Novel and targetable mutations are needed for improved understanding and treatment of lung cancer in never-smokers. METHODS: Twenty-seven lung adenocarcinomas from never-smokers were sequenced by both exome and mRNA-seq with respective normal tissues. Somatic mutations were detected and...

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Autores principales: Sun, Zhifu, Wang, Liang, Eckloff, Bruce W, Deng, Bo, Wang, Yi, Wampfler, Jason A, Jang, JinSung, Wieben, Eric D, Jen, Jin, You, Ming, Yang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060138/
https://www.ncbi.nlm.nih.gov/pubmed/24894543
http://dx.doi.org/10.1186/1755-8794-7-32
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author Sun, Zhifu
Wang, Liang
Eckloff, Bruce W
Deng, Bo
Wang, Yi
Wampfler, Jason A
Jang, JinSung
Wieben, Eric D
Jen, Jin
You, Ming
Yang, Ping
author_facet Sun, Zhifu
Wang, Liang
Eckloff, Bruce W
Deng, Bo
Wang, Yi
Wampfler, Jason A
Jang, JinSung
Wieben, Eric D
Jen, Jin
You, Ming
Yang, Ping
author_sort Sun, Zhifu
collection PubMed
description BACKGROUND: Novel and targetable mutations are needed for improved understanding and treatment of lung cancer in never-smokers. METHODS: Twenty-seven lung adenocarcinomas from never-smokers were sequenced by both exome and mRNA-seq with respective normal tissues. Somatic mutations were detected and compared with pathway deregulation, tumor phenotypes and clinical outcomes. RESULTS: Although somatic mutations in DNA or mRNA ranged from hundreds to thousands in each tumor, the overlap mutations between the two were only a few to a couple of hundreds. The number of somatic mutations from either DNA or mRNA was not significantly associated with clinical variables; however, the number of overlap mutations was associated with cancer subtype. These overlap mutants were preferentially expressed in mRNA with consistently higher allele frequency in mRNA than in DNA. Ten genes (EGFR, TP53, KRAS, RPS6KB2, ATXN2, DHX9, PTPN13, SP1, SPTAN1 and MYOF) had recurrent mutations and these mutations were highly correlated with pathway deregulation and patient survival. CONCLUSIONS: The recurrent mutations present in both DNA and RNA are likely the driver for tumor biology, pathway deregulation and clinical outcomes. The information may be used for patient stratification and therapeutic target development.
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spelling pubmed-40601382014-06-18 Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers Sun, Zhifu Wang, Liang Eckloff, Bruce W Deng, Bo Wang, Yi Wampfler, Jason A Jang, JinSung Wieben, Eric D Jen, Jin You, Ming Yang, Ping BMC Med Genomics Research Article BACKGROUND: Novel and targetable mutations are needed for improved understanding and treatment of lung cancer in never-smokers. METHODS: Twenty-seven lung adenocarcinomas from never-smokers were sequenced by both exome and mRNA-seq with respective normal tissues. Somatic mutations were detected and compared with pathway deregulation, tumor phenotypes and clinical outcomes. RESULTS: Although somatic mutations in DNA or mRNA ranged from hundreds to thousands in each tumor, the overlap mutations between the two were only a few to a couple of hundreds. The number of somatic mutations from either DNA or mRNA was not significantly associated with clinical variables; however, the number of overlap mutations was associated with cancer subtype. These overlap mutants were preferentially expressed in mRNA with consistently higher allele frequency in mRNA than in DNA. Ten genes (EGFR, TP53, KRAS, RPS6KB2, ATXN2, DHX9, PTPN13, SP1, SPTAN1 and MYOF) had recurrent mutations and these mutations were highly correlated with pathway deregulation and patient survival. CONCLUSIONS: The recurrent mutations present in both DNA and RNA are likely the driver for tumor biology, pathway deregulation and clinical outcomes. The information may be used for patient stratification and therapeutic target development. BioMed Central 2014-06-04 /pmc/articles/PMC4060138/ /pubmed/24894543 http://dx.doi.org/10.1186/1755-8794-7-32 Text en Copyright © 2014 Sun et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sun, Zhifu
Wang, Liang
Eckloff, Bruce W
Deng, Bo
Wang, Yi
Wampfler, Jason A
Jang, JinSung
Wieben, Eric D
Jen, Jin
You, Ming
Yang, Ping
Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
title Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
title_full Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
title_fullStr Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
title_full_unstemmed Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
title_short Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
title_sort conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060138/
https://www.ncbi.nlm.nih.gov/pubmed/24894543
http://dx.doi.org/10.1186/1755-8794-7-32
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