Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis.
BACKGROUND: HOTAIR, a newly discovered long intergenic noncoding RNA (lincRNA), has been reported to be aberrantly expressed in many types of cancers. This meta-analysis summarizes its potential role as a biomarker in malignancy. METHODS: A quantitative meta-analysis was performed through a systemat...
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doaj-eb4bc8870fb0417c9f66720d7bf3c7b72020-11-24T21:42:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0198e10553810.1371/journal.pone.0105538Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis.Shenghong ZhangShuling ChenGuang YangFang GuMinrui LiBihui ZhongJifan HuAndrew HoffmanMinhu ChenBACKGROUND: HOTAIR, a newly discovered long intergenic noncoding RNA (lincRNA), has been reported to be aberrantly expressed in many types of cancers. This meta-analysis summarizes its potential role as a biomarker in malignancy. METHODS: A quantitative meta-analysis was performed through a systematic search in Pubmed, Medline and Web of Science for eligible papers on the prognostic impact of HOTAIR in cancer from inception to Feb. 28, 2014. Pooled hazard ratios (HRs) with 95% confidence interval (95% CI) were calculated to summarize the effect. RESULTS: Nineteen studies were included in the study, with a total of 2033 patients. A significant association was observed between high HOTAIR expression and poor overall survival (OS) in patients with cancer (pooled HR 2.22, 95% CI: 1.68-2.93). Place of residence (Asian or Western countries), type of cancer (digestive or non-digestive disease), sample size (more or less than 100), and paper quality (score more or less than 85%) did not alter the significant predictive value of HOTAIR in OS from various kinds of cancer but preoperative status did. By combining HRs from Cox multivariate analyses, we found that HOTAIR expression was an independent prognostic factor for cancer patients (pooled HR 2.26, 95% CI: 1.62-3.15). Subgroup analysis showed that HOTAIR abundance was an independent prognostic factor for cancer metastasis (HR 3.90, 95% CI: 2.25-6.74). For esophageal carcinoma, high HOTAIR expression was significantly associated with TNM stage (III/IV vs. I/II: OR 6.90, 95% CI: 2.81-16.9) without heterogeneity. In gastric cancer, HOTAIR expression was found to be significantly associated with lymph node metastases (present vs. absent: OR 4.47, 95% CI: 1.88-10.63) and vessel invasion (positive vs. negative: OR 2.88, 95% CI: 1.38-6.04) without obvious heterogeneity. CONCLUSIONS: HOTAIR abundance may serve as a novel predictive factor for poor prognosis in different types of cancers in both Asian and Western countries.http://europepmc.org/articles/PMC4144893?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shenghong Zhang Shuling Chen Guang Yang Fang Gu Minrui Li Bihui Zhong Jifan Hu Andrew Hoffman Minhu Chen |
spellingShingle |
Shenghong Zhang Shuling Chen Guang Yang Fang Gu Minrui Li Bihui Zhong Jifan Hu Andrew Hoffman Minhu Chen Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis. PLoS ONE |
author_facet |
Shenghong Zhang Shuling Chen Guang Yang Fang Gu Minrui Li Bihui Zhong Jifan Hu Andrew Hoffman Minhu Chen |
author_sort |
Shenghong Zhang |
title |
Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis. |
title_short |
Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis. |
title_full |
Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis. |
title_fullStr |
Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis. |
title_full_unstemmed |
Long noncoding RNA HOTAIR as an independent prognostic marker in cancer: a meta-analysis. |
title_sort |
long noncoding rna hotair as an independent prognostic marker in cancer: a meta-analysis. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2014-01-01 |
description |
BACKGROUND: HOTAIR, a newly discovered long intergenic noncoding RNA (lincRNA), has been reported to be aberrantly expressed in many types of cancers. This meta-analysis summarizes its potential role as a biomarker in malignancy. METHODS: A quantitative meta-analysis was performed through a systematic search in Pubmed, Medline and Web of Science for eligible papers on the prognostic impact of HOTAIR in cancer from inception to Feb. 28, 2014. Pooled hazard ratios (HRs) with 95% confidence interval (95% CI) were calculated to summarize the effect. RESULTS: Nineteen studies were included in the study, with a total of 2033 patients. A significant association was observed between high HOTAIR expression and poor overall survival (OS) in patients with cancer (pooled HR 2.22, 95% CI: 1.68-2.93). Place of residence (Asian or Western countries), type of cancer (digestive or non-digestive disease), sample size (more or less than 100), and paper quality (score more or less than 85%) did not alter the significant predictive value of HOTAIR in OS from various kinds of cancer but preoperative status did. By combining HRs from Cox multivariate analyses, we found that HOTAIR expression was an independent prognostic factor for cancer patients (pooled HR 2.26, 95% CI: 1.62-3.15). Subgroup analysis showed that HOTAIR abundance was an independent prognostic factor for cancer metastasis (HR 3.90, 95% CI: 2.25-6.74). For esophageal carcinoma, high HOTAIR expression was significantly associated with TNM stage (III/IV vs. I/II: OR 6.90, 95% CI: 2.81-16.9) without heterogeneity. In gastric cancer, HOTAIR expression was found to be significantly associated with lymph node metastases (present vs. absent: OR 4.47, 95% CI: 1.88-10.63) and vessel invasion (positive vs. negative: OR 2.88, 95% CI: 1.38-6.04) without obvious heterogeneity. CONCLUSIONS: HOTAIR abundance may serve as a novel predictive factor for poor prognosis in different types of cancers in both Asian and Western countries. |
url |
http://europepmc.org/articles/PMC4144893?pdf=render |
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