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Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer
PURPOSE: This study aimed to describe the use of a novel 4-lncRNA signature to predict prognosis in patients with laryngeal cancer and to explore its possible mechanisms. METHODS: We identified lncRNAs that were differentially expressed between 111 tumor tissue samples and 12 matched normal tissue s...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694645/ https://www.ncbi.nlm.nih.gov/pubmed/31416476 http://dx.doi.org/10.1186/s40246-019-0230-6 |
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author | Zhang, Guihai Fan, Erxi Zhong, Qiuyue Feng, Guangyong Shuai, Yu Wu, Mingna Chen, Qiying Gou, Xiaoxia |
author_facet | Zhang, Guihai Fan, Erxi Zhong, Qiuyue Feng, Guangyong Shuai, Yu Wu, Mingna Chen, Qiying Gou, Xiaoxia |
author_sort | Zhang, Guihai |
collection | PubMed |
description | PURPOSE: This study aimed to describe the use of a novel 4-lncRNA signature to predict prognosis in patients with laryngeal cancer and to explore its possible mechanisms. METHODS: We identified lncRNAs that were differentially expressed between 111 tumor tissue samples and 12 matched normal tissue samples from The Cancer Genome Atlas Database (TCGA). We used Cox regression analysis to identify lncRNAs that were correlated with prognosis. A 4-lncRNA signature was developed to predict the prognosis of patients with laryngeal cancer. The receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to verify the validity of this Cox regression model, and an independent prognosis analysis was used to confirm that the 4-lncRNA signature was an independent prognostic factor. Furthermore, the function of these lncRNAs was inferred using related gene prediction and Gene ontology (GO) enrichment analysis in order to clarify the possible mechanisms underlying their predictive ability. RESULTS: In total, 214 differentially expressed lncRNAs were identified, and a 4-lncRNA signature was constructed using Cox survival analysis. The risk coefficients in the multivariate Cox analysis revealed that LINC02154 and MNX1-AS1 are risk factors for laryngeal cancer, whereas MYHAS and LINC01281 appear to be protective factors. The results of a functional annotation analysis suggested that the mechanisms by which these lncRNAs influence prognosis in laryngeal cancer may involve the extracellular exosome, the Notch signaling pathway, voltage-gated calcium channels, and the Wnt signaling pathway. CONCLUSION: We identified a novel 4-lncRNA signature that can predict the prognosis of patients with laryngeal cancer and that may influence the prognosis of laryngeal cancer by regulating immunity, tumor apoptosis, metastasis, invasion, and other characteristics through the Notch signaling pathway, voltage-gated calcium channels, and the Wnt signaling pathway. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-019-0230-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6694645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66946452019-08-19 Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer Zhang, Guihai Fan, Erxi Zhong, Qiuyue Feng, Guangyong Shuai, Yu Wu, Mingna Chen, Qiying Gou, Xiaoxia Hum Genomics Primary Research PURPOSE: This study aimed to describe the use of a novel 4-lncRNA signature to predict prognosis in patients with laryngeal cancer and to explore its possible mechanisms. METHODS: We identified lncRNAs that were differentially expressed between 111 tumor tissue samples and 12 matched normal tissue samples from The Cancer Genome Atlas Database (TCGA). We used Cox regression analysis to identify lncRNAs that were correlated with prognosis. A 4-lncRNA signature was developed to predict the prognosis of patients with laryngeal cancer. The receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to verify the validity of this Cox regression model, and an independent prognosis analysis was used to confirm that the 4-lncRNA signature was an independent prognostic factor. Furthermore, the function of these lncRNAs was inferred using related gene prediction and Gene ontology (GO) enrichment analysis in order to clarify the possible mechanisms underlying their predictive ability. RESULTS: In total, 214 differentially expressed lncRNAs were identified, and a 4-lncRNA signature was constructed using Cox survival analysis. The risk coefficients in the multivariate Cox analysis revealed that LINC02154 and MNX1-AS1 are risk factors for laryngeal cancer, whereas MYHAS and LINC01281 appear to be protective factors. The results of a functional annotation analysis suggested that the mechanisms by which these lncRNAs influence prognosis in laryngeal cancer may involve the extracellular exosome, the Notch signaling pathway, voltage-gated calcium channels, and the Wnt signaling pathway. CONCLUSION: We identified a novel 4-lncRNA signature that can predict the prognosis of patients with laryngeal cancer and that may influence the prognosis of laryngeal cancer by regulating immunity, tumor apoptosis, metastasis, invasion, and other characteristics through the Notch signaling pathway, voltage-gated calcium channels, and the Wnt signaling pathway. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-019-0230-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-15 /pmc/articles/PMC6694645/ /pubmed/31416476 http://dx.doi.org/10.1186/s40246-019-0230-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Primary Research Zhang, Guihai Fan, Erxi Zhong, Qiuyue Feng, Guangyong Shuai, Yu Wu, Mingna Chen, Qiying Gou, Xiaoxia Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer |
title | Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer |
title_full | Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer |
title_fullStr | Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer |
title_full_unstemmed | Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer |
title_short | Identification and potential mechanisms of a 4-lncRNA signature that predicts prognosis in patients with laryngeal cancer |
title_sort | identification and potential mechanisms of a 4-lncrna signature that predicts prognosis in patients with laryngeal cancer |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694645/ https://www.ncbi.nlm.nih.gov/pubmed/31416476 http://dx.doi.org/10.1186/s40246-019-0230-6 |
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