Cargando…
Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis
Numerous studies have demonstrated that the expression level of maternally expressed gene 3 (MEG3) was lost in various cancers. Low expression of MEG3 is associated with an increased risk of metastasis and a poor prognosis in cancer patients. This meta-analysis investigated the association between M...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386668/ https://www.ncbi.nlm.nih.gov/pubmed/28157702 http://dx.doi.org/10.18632/oncotarget.14987 |
_version_ | 1782520813584384000 |
---|---|
author | Cui, Xiangrong Jing, Xuan Long, Chunlan Tian, Jie Zhu, Jing |
author_facet | Cui, Xiangrong Jing, Xuan Long, Chunlan Tian, Jie Zhu, Jing |
author_sort | Cui, Xiangrong |
collection | PubMed |
description | Numerous studies have demonstrated that the expression level of maternally expressed gene 3 (MEG3) was lost in various cancers. Low expression of MEG3 is associated with an increased risk of metastasis and a poor prognosis in cancer patients. This meta-analysis investigated the association between MEG3 levels and distant metastasis (DM), lymph node metastasis (LNM), overall survival (OS), and recurrence-free survival (RFS) of cancer patients. A total of 536 participants from 9 articles were finally enrolled. The results showed a significant negative association between MEG3 levels and DM (OR = 2.16, 95% CI = 0.99–4.71, P = 0.05, fixed-effect), and it could also predict poor OS (HR = 0.43, 95% CI = 0.15–1.24, P = 0.006, fixed-effect) and RFS (HR = 0.52, 95% CI = 0.29–0.92, P = 0.02, fixed-effect) in cancer patients. In conclusion, this meta-analysis indicated that MEG3 might serve as a potential novel biomarker for indicating the clinical outcomes in human cancers. |
format | Online Article Text |
id | pubmed-5386668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53866682017-04-26 Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis Cui, Xiangrong Jing, Xuan Long, Chunlan Tian, Jie Zhu, Jing Oncotarget Research Paper Numerous studies have demonstrated that the expression level of maternally expressed gene 3 (MEG3) was lost in various cancers. Low expression of MEG3 is associated with an increased risk of metastasis and a poor prognosis in cancer patients. This meta-analysis investigated the association between MEG3 levels and distant metastasis (DM), lymph node metastasis (LNM), overall survival (OS), and recurrence-free survival (RFS) of cancer patients. A total of 536 participants from 9 articles were finally enrolled. The results showed a significant negative association between MEG3 levels and DM (OR = 2.16, 95% CI = 0.99–4.71, P = 0.05, fixed-effect), and it could also predict poor OS (HR = 0.43, 95% CI = 0.15–1.24, P = 0.006, fixed-effect) and RFS (HR = 0.52, 95% CI = 0.29–0.92, P = 0.02, fixed-effect) in cancer patients. In conclusion, this meta-analysis indicated that MEG3 might serve as a potential novel biomarker for indicating the clinical outcomes in human cancers. Impact Journals LLC 2017-02-01 /pmc/articles/PMC5386668/ /pubmed/28157702 http://dx.doi.org/10.18632/oncotarget.14987 Text en Copyright: © 2017 Cui 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 Cui, Xiangrong Jing, Xuan Long, Chunlan Tian, Jie Zhu, Jing Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
title | Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
title_full | Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
title_fullStr | Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
title_full_unstemmed | Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
title_short | Long noncoding RNA MEG3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
title_sort | long noncoding rna meg3, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386668/ https://www.ncbi.nlm.nih.gov/pubmed/28157702 http://dx.doi.org/10.18632/oncotarget.14987 |
work_keys_str_mv | AT cuixiangrong longnoncodingrnameg3apotentialnovelbiomarkertopredicttheclinicaloutcomeofcancerpatientsametaanalysis AT jingxuan longnoncodingrnameg3apotentialnovelbiomarkertopredicttheclinicaloutcomeofcancerpatientsametaanalysis AT longchunlan longnoncodingrnameg3apotentialnovelbiomarkertopredicttheclinicaloutcomeofcancerpatientsametaanalysis AT tianjie longnoncodingrnameg3apotentialnovelbiomarkertopredicttheclinicaloutcomeofcancerpatientsametaanalysis AT zhujing longnoncodingrnameg3apotentialnovelbiomarkertopredicttheclinicaloutcomeofcancerpatientsametaanalysis |