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Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing
In conjunction with clinical characteristics, prognostic biomarkers are essential for choosing optimal therapies to lower the mortality of lung adenocarcinoma. Whole genome sequencing (WGS) of 7 cancerous-noncancerous tissue pairs was performed to explore the comparative copy number variations (CNVs...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741981/ https://www.ncbi.nlm.nih.gov/pubmed/26497366 |
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author | Liu, Li Huang, Jiao Wang, Ke Li, Li Li, Yangkai Yuan, Jingsong Wei, Sheng |
author_facet | Liu, Li Huang, Jiao Wang, Ke Li, Li Li, Yangkai Yuan, Jingsong Wei, Sheng |
author_sort | Liu, Li |
collection | PubMed |
description | In conjunction with clinical characteristics, prognostic biomarkers are essential for choosing optimal therapies to lower the mortality of lung adenocarcinoma. Whole genome sequencing (WGS) of 7 cancerous-noncancerous tissue pairs was performed to explore the comparative copy number variations (CNVs) associated with lung adenocarcinoma. The frequencies of top ranked CNVs were verified in an independent set of 114 patients and then the roles of target CNVs in disease prognosis were assessed in 313 patients. The WGS yielded 2604 CNVs. After frequency validation and biological function screening of top 10 CNVs, 9 mutant driver genes from 7 CNVs were further analyzed for an association with survival. Compared with the PBXIP1 amplified copy number, unamplified carriers had a 0.62-fold (95%CI = 0.43–0.91) decreased risk of death. Compared with an amplified TERT, those with an unamplified TERT had a 35% reduction (95% CI = 3%–56%) in risk of lung adenocarcinoma progression. Cases with both unamplified PBXIP1 and TERT had a median 34.32-month extension of overall survival and 34.55-month delay in disease progression when compared with both amplified CNVs. This study demonstrates that CNVs of TERT and PBXIP1 have the potential to translate into the clinic and be used to improve outcomes for patients with this fatal disease. |
format | Online Article Text |
id | pubmed-4741981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-47419812016-03-17 Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing Liu, Li Huang, Jiao Wang, Ke Li, Li Li, Yangkai Yuan, Jingsong Wei, Sheng Oncotarget Research Paper In conjunction with clinical characteristics, prognostic biomarkers are essential for choosing optimal therapies to lower the mortality of lung adenocarcinoma. Whole genome sequencing (WGS) of 7 cancerous-noncancerous tissue pairs was performed to explore the comparative copy number variations (CNVs) associated with lung adenocarcinoma. The frequencies of top ranked CNVs were verified in an independent set of 114 patients and then the roles of target CNVs in disease prognosis were assessed in 313 patients. The WGS yielded 2604 CNVs. After frequency validation and biological function screening of top 10 CNVs, 9 mutant driver genes from 7 CNVs were further analyzed for an association with survival. Compared with the PBXIP1 amplified copy number, unamplified carriers had a 0.62-fold (95%CI = 0.43–0.91) decreased risk of death. Compared with an amplified TERT, those with an unamplified TERT had a 35% reduction (95% CI = 3%–56%) in risk of lung adenocarcinoma progression. Cases with both unamplified PBXIP1 and TERT had a median 34.32-month extension of overall survival and 34.55-month delay in disease progression when compared with both amplified CNVs. This study demonstrates that CNVs of TERT and PBXIP1 have the potential to translate into the clinic and be used to improve outcomes for patients with this fatal disease. Impact Journals LLC 2015-10-13 /pmc/articles/PMC4741981/ /pubmed/26497366 Text en Copyright: © 2015 Liu et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Li Huang, Jiao Wang, Ke Li, Li Li, Yangkai Yuan, Jingsong Wei, Sheng Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
title | Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
title_full | Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
title_fullStr | Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
title_full_unstemmed | Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
title_short | Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
title_sort | identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741981/ https://www.ncbi.nlm.nih.gov/pubmed/26497366 |
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