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Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform
Based on our hospital database, the incidence of lung cancer diagnoses was similar in obstructive sleep apnea Syndrome (OSAS) and hospital general population; among individual with a diagnosis of lung cancer, the presence of OSAS was associated with an increased risk for mortality. In the gene expre...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400607/ https://www.ncbi.nlm.nih.gov/pubmed/28423489 http://dx.doi.org/10.18632/oncotarget.15372 |
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author | Li, Lifeng Lu, Jingli Xue, Wenhua Wang, Liping Zhai, Yunkai Fan, Zhirui Wu, Ge Fan, Feifei Li, Jieyao Zhang, Chaoqi Zhang, Yi Zhao, Jie |
author_facet | Li, Lifeng Lu, Jingli Xue, Wenhua Wang, Liping Zhai, Yunkai Fan, Zhirui Wu, Ge Fan, Feifei Li, Jieyao Zhang, Chaoqi Zhang, Yi Zhao, Jie |
author_sort | Li, Lifeng |
collection | PubMed |
description | Based on our hospital database, the incidence of lung cancer diagnoses was similar in obstructive sleep apnea Syndrome (OSAS) and hospital general population; among individual with a diagnosis of lung cancer, the presence of OSAS was associated with an increased risk for mortality. In the gene expression and network-level information, we revealed significant alterations of molecules related to HIF1 and metabolic pathways in the hypoxic-conditioned lung cancer cells. We also observed that GBE1 and HK2 are downstream of HIF1 pathway important in hypoxia-conditioned lung cancer cell. Furthermore, we used publicly available datasets to validate that the late-stage lung adenocarcinoma patients showed higher expression HK2 and GBE1 than early-stage ones. In terms of prognostic features, a survival analysis revealed that the high GBE1 and HK2 expression group exhibited poorer survival in lung adenocarcinoma patients. By analyzing and integrating multiple datasets, we identify molecular convergence between hypoxia and lung cancer that reflects their clinical profiles and reveals molecular pathways involved in hypoxic-induced lung cancer progression. In conclusion, we show that OSAS severity appears to increase the risk of lung cancer mortality. |
format | Online Article Text |
id | pubmed-5400607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-54006072017-05-03 Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform Li, Lifeng Lu, Jingli Xue, Wenhua Wang, Liping Zhai, Yunkai Fan, Zhirui Wu, Ge Fan, Feifei Li, Jieyao Zhang, Chaoqi Zhang, Yi Zhao, Jie Oncotarget Research Paper Based on our hospital database, the incidence of lung cancer diagnoses was similar in obstructive sleep apnea Syndrome (OSAS) and hospital general population; among individual with a diagnosis of lung cancer, the presence of OSAS was associated with an increased risk for mortality. In the gene expression and network-level information, we revealed significant alterations of molecules related to HIF1 and metabolic pathways in the hypoxic-conditioned lung cancer cells. We also observed that GBE1 and HK2 are downstream of HIF1 pathway important in hypoxia-conditioned lung cancer cell. Furthermore, we used publicly available datasets to validate that the late-stage lung adenocarcinoma patients showed higher expression HK2 and GBE1 than early-stage ones. In terms of prognostic features, a survival analysis revealed that the high GBE1 and HK2 expression group exhibited poorer survival in lung adenocarcinoma patients. By analyzing and integrating multiple datasets, we identify molecular convergence between hypoxia and lung cancer that reflects their clinical profiles and reveals molecular pathways involved in hypoxic-induced lung cancer progression. In conclusion, we show that OSAS severity appears to increase the risk of lung cancer mortality. Impact Journals LLC 2017-02-16 /pmc/articles/PMC5400607/ /pubmed/28423489 http://dx.doi.org/10.18632/oncotarget.15372 Text en Copyright: © 2017 Li et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Li, Lifeng Lu, Jingli Xue, Wenhua Wang, Liping Zhai, Yunkai Fan, Zhirui Wu, Ge Fan, Feifei Li, Jieyao Zhang, Chaoqi Zhang, Yi Zhao, Jie Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
title | Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
title_full | Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
title_fullStr | Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
title_full_unstemmed | Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
title_short | Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
title_sort | target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400607/ https://www.ncbi.nlm.nih.gov/pubmed/28423489 http://dx.doi.org/10.18632/oncotarget.15372 |
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