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Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma
This study aims to identify a miRNAs signature for predicting overall survival (OS) in esophageal squamous cell carcinoma (ESCC) patients. MiRNA expression profiles and corresponding clinical information of 119 ESCC patients were obtained from NCBI GEO and used as the training set. Differentially ex...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934627/ https://www.ncbi.nlm.nih.gov/pubmed/31882677 http://dx.doi.org/10.1038/s41598-019-56367-1 |
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author | Yu, Jun Zhu, Ming Lv, Min Wu, Xiaoliu Zhang, Xiaomei Zhang, Yuanying Li, Jintian Zhang, Qin |
author_facet | Yu, Jun Zhu, Ming Lv, Min Wu, Xiaoliu Zhang, Xiaomei Zhang, Yuanying Li, Jintian Zhang, Qin |
author_sort | Yu, Jun |
collection | PubMed |
description | This study aims to identify a miRNAs signature for predicting overall survival (OS) in esophageal squamous cell carcinoma (ESCC) patients. MiRNA expression profiles and corresponding clinical information of 119 ESCC patients were obtained from NCBI GEO and used as the training set. Differentially expressed miRNAs (DEmiRNAs) were screened between early-stage and late-stage samples. Cox regression analysis, recursive feature elimination (RFE)-support vector machine (SVM) algorithm, and LASSO Cox regression model were used to identify prognostic miRNAs and consequently build a prognostic scoring model. Moreover, promising target genes of these prognostic miRNAs were predicted followed by construction of miRNA-target gene networks. Functional relevance of predicted target genes of these prognostic miRNAs in ESCC was analyzed by performing function enrichment analyses. There were 46 DEmiRNAs between early-stage and late-stage samples in the training set. A risk score model based on five miRNAs was built. The five-miRNA risk score could classify the training set into a high-risk group and a low-risk group with significantly different OS time. Risk stratification ability of the five-miRNA risk score was successfully validated on an independent set from the Cancer Genome Atlas (TCGA). Various biological processes and pathways were identified to be related to these miRNAs, such as Wnt signaling pathway, inflammatory mediator regulation of TRP channels pathway, and estrogen signaling pathway. The present study suggests a pathological stage-related five-miRNA signature that may have clinical implications in predicting prognosis of ESCC patients. |
format | Online Article Text |
id | pubmed-6934627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69346272019-12-30 Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma Yu, Jun Zhu, Ming Lv, Min Wu, Xiaoliu Zhang, Xiaomei Zhang, Yuanying Li, Jintian Zhang, Qin Sci Rep Article This study aims to identify a miRNAs signature for predicting overall survival (OS) in esophageal squamous cell carcinoma (ESCC) patients. MiRNA expression profiles and corresponding clinical information of 119 ESCC patients were obtained from NCBI GEO and used as the training set. Differentially expressed miRNAs (DEmiRNAs) were screened between early-stage and late-stage samples. Cox regression analysis, recursive feature elimination (RFE)-support vector machine (SVM) algorithm, and LASSO Cox regression model were used to identify prognostic miRNAs and consequently build a prognostic scoring model. Moreover, promising target genes of these prognostic miRNAs were predicted followed by construction of miRNA-target gene networks. Functional relevance of predicted target genes of these prognostic miRNAs in ESCC was analyzed by performing function enrichment analyses. There were 46 DEmiRNAs between early-stage and late-stage samples in the training set. A risk score model based on five miRNAs was built. The five-miRNA risk score could classify the training set into a high-risk group and a low-risk group with significantly different OS time. Risk stratification ability of the five-miRNA risk score was successfully validated on an independent set from the Cancer Genome Atlas (TCGA). Various biological processes and pathways were identified to be related to these miRNAs, such as Wnt signaling pathway, inflammatory mediator regulation of TRP channels pathway, and estrogen signaling pathway. The present study suggests a pathological stage-related five-miRNA signature that may have clinical implications in predicting prognosis of ESCC patients. Nature Publishing Group UK 2019-12-27 /pmc/articles/PMC6934627/ /pubmed/31882677 http://dx.doi.org/10.1038/s41598-019-56367-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yu, Jun Zhu, Ming Lv, Min Wu, Xiaoliu Zhang, Xiaomei Zhang, Yuanying Li, Jintian Zhang, Qin Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma |
title | Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma |
title_full | Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma |
title_fullStr | Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma |
title_full_unstemmed | Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma |
title_short | Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma |
title_sort | characterization of a five-microrna signature as a prognostic biomarker for esophageal squamous cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934627/ https://www.ncbi.nlm.nih.gov/pubmed/31882677 http://dx.doi.org/10.1038/s41598-019-56367-1 |
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