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The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis
BACKGROUND: Reports have demonstrated the prognostic function of long non-coding RNAS (lncRNAS) in patients with cancer. However, their prognostic functions in non small cell lung cancer (NSCLC) remain controversial. We therefore performed a meta-analysis on six lncRNAs (PVT1, AFAP1-AS1, LINC01133,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348393/ https://www.ncbi.nlm.nih.gov/pubmed/27833074 http://dx.doi.org/10.18632/oncotarget.13223 |
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author | Wang, Manni Ma, Xuelei Zhu, Chenjing Guo, Linghong Li, Qingfang Liu, Ming Zhang, Jing |
author_facet | Wang, Manni Ma, Xuelei Zhu, Chenjing Guo, Linghong Li, Qingfang Liu, Ming Zhang, Jing |
author_sort | Wang, Manni |
collection | PubMed |
description | BACKGROUND: Reports have demonstrated the prognostic function of long non-coding RNAS (lncRNAS) in patients with cancer. However, their prognostic functions in non small cell lung cancer (NSCLC) remain controversial. We therefore performed a meta-analysis on six lncRNAs (PVT1, AFAP1-AS1, LINC01133, ANRIL, MEG3 and UCA1) to clarify their prognostic roles in NSCLC. RESULTS: Thirty-six studies involving 6267 patients with NSCLC and 34 lncRNAs were included. Of the listed lncRNAs, 20 were shown to negatively affect patients' overall survival while the high expression of 13 lncRNAs indicated better survival outcomes. MATERIALS AND METHODS: The log-rank p value and Kaplan–Meier survival curves of survival outcomes were extracted for hazard ratio (HR) calculation. Survival outcomes were measured by overall survival (OS) and event free survival (EFS) which were then analyzed by calculating pooled hazard ratios. The heterogeneity was detected by Q statistic and I-squared statistic. CONCLUSIONS: The abnormal expression of lncRNAs may significantly affect NSCLC patients' survival and may serve as a novel predictive factor for prognosis of NSCLC patients. |
format | Online Article Text |
id | pubmed-5348393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53483932017-03-31 The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis Wang, Manni Ma, Xuelei Zhu, Chenjing Guo, Linghong Li, Qingfang Liu, Ming Zhang, Jing Oncotarget Research Paper BACKGROUND: Reports have demonstrated the prognostic function of long non-coding RNAS (lncRNAS) in patients with cancer. However, their prognostic functions in non small cell lung cancer (NSCLC) remain controversial. We therefore performed a meta-analysis on six lncRNAs (PVT1, AFAP1-AS1, LINC01133, ANRIL, MEG3 and UCA1) to clarify their prognostic roles in NSCLC. RESULTS: Thirty-six studies involving 6267 patients with NSCLC and 34 lncRNAs were included. Of the listed lncRNAs, 20 were shown to negatively affect patients' overall survival while the high expression of 13 lncRNAs indicated better survival outcomes. MATERIALS AND METHODS: The log-rank p value and Kaplan–Meier survival curves of survival outcomes were extracted for hazard ratio (HR) calculation. Survival outcomes were measured by overall survival (OS) and event free survival (EFS) which were then analyzed by calculating pooled hazard ratios. The heterogeneity was detected by Q statistic and I-squared statistic. CONCLUSIONS: The abnormal expression of lncRNAs may significantly affect NSCLC patients' survival and may serve as a novel predictive factor for prognosis of NSCLC patients. Impact Journals LLC 2016-11-08 /pmc/articles/PMC5348393/ /pubmed/27833074 http://dx.doi.org/10.18632/oncotarget.13223 Text en Copyright: © 2016 Wang 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Wang, Manni Ma, Xuelei Zhu, Chenjing Guo, Linghong Li, Qingfang Liu, Ming Zhang, Jing The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis |
title | The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis |
title_full | The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis |
title_fullStr | The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis |
title_full_unstemmed | The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis |
title_short | The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis |
title_sort | prognostic value of long non coding rnas in non small cell lung cancer: a meta-analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348393/ https://www.ncbi.nlm.nih.gov/pubmed/27833074 http://dx.doi.org/10.18632/oncotarget.13223 |
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