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The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets

This comprehensive investigation was performed to evaluate the expression level and potential clinical value of NEAT1 in digestive system malignancies. A total of 57 lncRNA datasets of microarray or RNA-seq and 5 publications were included. The pooled standard mean deviation (SMD) indicated that NEA...

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Autores principales: Xiong, Dan-Dan, Feng, Zhen-Bo, Cen, Wei-Luan, Zeng, Jing-Jing, Liang, Lu, Tang, Rui-Xue, Gan, Xiao-Ning, Liang, Hai-Wei, Li, Zu-Yun, Chen, Gang, Luo, Dian-Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392277/
https://www.ncbi.nlm.nih.gov/pubmed/28118609
http://dx.doi.org/10.18632/oncotarget.14756
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author Xiong, Dan-Dan
Feng, Zhen-Bo
Cen, Wei-Luan
Zeng, Jing-Jing
Liang, Lu
Tang, Rui-Xue
Gan, Xiao-Ning
Liang, Hai-Wei
Li, Zu-Yun
Chen, Gang
Luo, Dian-Zhong
author_facet Xiong, Dan-Dan
Feng, Zhen-Bo
Cen, Wei-Luan
Zeng, Jing-Jing
Liang, Lu
Tang, Rui-Xue
Gan, Xiao-Ning
Liang, Hai-Wei
Li, Zu-Yun
Chen, Gang
Luo, Dian-Zhong
author_sort Xiong, Dan-Dan
collection PubMed
description This comprehensive investigation was performed to evaluate the expression level and potential clinical value of NEAT1 in digestive system malignancies. A total of 57 lncRNA datasets of microarray or RNA-seq and 5 publications were included. The pooled standard mean deviation (SMD) indicated that NEAT1 was down-regulated in esophageal carcinoma (ESCA, SMD = −0.35, 95% CI: −0.5~-0.20, P < 0.0001) and hepatocellular carcinoma (HCC, SMD = −0.47, 95% CI: −0.60~-0.34, P < 0.0001), while in pancreatic cancer (PC), NEAT1 was up-regulated (SMD = 0.45, 95% CI: 0.2~0.71, P = 0.001). However, NEAT1 expression in gastric cancer (GC), colorectal cancer (CRC), biliary tract cancer (BTC) and gallbladder carcinoma (GBC) showed no significant difference between cancer and control groups. The pooled area under the curve values for ESCA, GC, CRC, PC and HCC were 0.60, 0.89, 0.81, 0.77 and 0.69, respectively. Furthermore, our result demonstrated that a high expression of NEAT1 predicted an unfavorable prognosis in patients with digestive system malignancies (HR: 1.50, 95% CI: 1.28-1.76, P < 0.0001). Our study suggests that NEAT1 may play different roles in the initiation and progression of digestive system cancers and could be a potential diagnostic and prognostic biomarker in patients with digestive system carcinomas. Further and stricter studies with a larger number of cases are necessary to strengthen our conclusions.
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spelling pubmed-53922772017-04-21 The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets Xiong, Dan-Dan Feng, Zhen-Bo Cen, Wei-Luan Zeng, Jing-Jing Liang, Lu Tang, Rui-Xue Gan, Xiao-Ning Liang, Hai-Wei Li, Zu-Yun Chen, Gang Luo, Dian-Zhong Oncotarget Research Paper This comprehensive investigation was performed to evaluate the expression level and potential clinical value of NEAT1 in digestive system malignancies. A total of 57 lncRNA datasets of microarray or RNA-seq and 5 publications were included. The pooled standard mean deviation (SMD) indicated that NEAT1 was down-regulated in esophageal carcinoma (ESCA, SMD = −0.35, 95% CI: −0.5~-0.20, P < 0.0001) and hepatocellular carcinoma (HCC, SMD = −0.47, 95% CI: −0.60~-0.34, P < 0.0001), while in pancreatic cancer (PC), NEAT1 was up-regulated (SMD = 0.45, 95% CI: 0.2~0.71, P = 0.001). However, NEAT1 expression in gastric cancer (GC), colorectal cancer (CRC), biliary tract cancer (BTC) and gallbladder carcinoma (GBC) showed no significant difference between cancer and control groups. The pooled area under the curve values for ESCA, GC, CRC, PC and HCC were 0.60, 0.89, 0.81, 0.77 and 0.69, respectively. Furthermore, our result demonstrated that a high expression of NEAT1 predicted an unfavorable prognosis in patients with digestive system malignancies (HR: 1.50, 95% CI: 1.28-1.76, P < 0.0001). Our study suggests that NEAT1 may play different roles in the initiation and progression of digestive system cancers and could be a potential diagnostic and prognostic biomarker in patients with digestive system carcinomas. Further and stricter studies with a larger number of cases are necessary to strengthen our conclusions. Impact Journals LLC 2017-01-19 /pmc/articles/PMC5392277/ /pubmed/28118609 http://dx.doi.org/10.18632/oncotarget.14756 Text en Copyright: © 2017 Xiong 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
Xiong, Dan-Dan
Feng, Zhen-Bo
Cen, Wei-Luan
Zeng, Jing-Jing
Liang, Lu
Tang, Rui-Xue
Gan, Xiao-Ning
Liang, Hai-Wei
Li, Zu-Yun
Chen, Gang
Luo, Dian-Zhong
The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets
title The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets
title_full The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets
title_fullStr The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets
title_full_unstemmed The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets
title_short The clinical value of lncRNA NEAT1 in digestive system malignancies: A comprehensive investigation based on 57 microarray and RNA-seq datasets
title_sort clinical value of lncrna neat1 in digestive system malignancies: a comprehensive investigation based on 57 microarray and rna-seq datasets
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392277/
https://www.ncbi.nlm.nih.gov/pubmed/28118609
http://dx.doi.org/10.18632/oncotarget.14756
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