Cargando…

The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature

Background: MALAT-1 is significantly overexpressed in various cancers, suggesting that it might be a potential biomarker of cancer. Methods: A meta-analysis was performed using microarray data obtained via the Affymetrix Human Genome U133 Plus 2.0 platform found in the Gene Expression Omnibus (GEO)...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yumin, Xue, Dan, Li, Yuwei, Pan, Xuya, Zhang, Xueying, Kuang, Biao, Zhou, Ming, Li, Xiaoling, Xiong, Wei, Li, Guiyuan, Zeng, Zhaoyang, Yang, Tubao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910592/
https://www.ncbi.nlm.nih.gov/pubmed/27313790
http://dx.doi.org/10.7150/jca.14663
_version_ 1782438033945001984
author Wang, Yumin
Xue, Dan
Li, Yuwei
Pan, Xuya
Zhang, Xueying
Kuang, Biao
Zhou, Ming
Li, Xiaoling
Xiong, Wei
Li, Guiyuan
Zeng, Zhaoyang
Yang, Tubao
author_facet Wang, Yumin
Xue, Dan
Li, Yuwei
Pan, Xuya
Zhang, Xueying
Kuang, Biao
Zhou, Ming
Li, Xiaoling
Xiong, Wei
Li, Guiyuan
Zeng, Zhaoyang
Yang, Tubao
author_sort Wang, Yumin
collection PubMed
description Background: MALAT-1 is significantly overexpressed in various cancers, suggesting that it might be a potential biomarker of cancer. Methods: A meta-analysis was performed using microarray data obtained via the Affymetrix Human Genome U133 Plus 2.0 platform found in the Gene Expression Omnibus (GEO) database and data obtained through a systematic search of PubMed and Web of Science. The pooled odds ratio (OR) and hazard ratio (HR) with 95% CI (Confidence interval) were used to judge the value of biomarkers. Results: A total of 28 studies were included in this meta-analysis, comprising a total of 3573 patients. MALAT-1 was significantly linked with over survival (OS) (HR=1.58, 95%CI: 1.12-2.23), recurrence-free survival (RFS) (HR=2.32, 95% CI: 1.68-3.19) and death-free survival (DFS) (HR=3.28, 95% CI: 1.52-7.09). We found that MALAT-1 was a risk factor in the prognoses of lung cancer (HR=1.54, 95%CI: 1.01-2.34), digestive system cancer (HR=2.16, 95% CI: 1.34-3.48) and ovarian cancer (HR=3.98, 95% CI: 1.54-10.25). In contrast, MALAT-1 was a safe factor in the prognosis of B cell lineage cancer (HR=0.45, 95% CI: 0.33-0.61). MALAT-1 was also a risk factor of RFS in breast cancer (HR=1.97, 95% CI: 1.25-3.09) and the TNM stage in pancreatic cancer (OR=3.65, 95% CI: 1.86-7.18) and glioma (OR=4.30, 95% CI: 1.90-9.73) and was a safe factor in colorectal cancer (OR=0.17, 95% CI: 0.08-0.35). MALAT-1 was significantly associated with lymph node metastasis in clear cell carcinoma (OR=5.04, 95% CI: 2.36-10.78) and distant metastasis in pancreatic cancer (OR=11.64, 95% CI: 2.13-63.78). Conclusions: MALAT-1 can serve as a molecular marker in different types of cancers.
format Online
Article
Text
id pubmed-4910592
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Ivyspring International Publisher
record_format MEDLINE/PubMed
spelling pubmed-49105922016-06-16 The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature Wang, Yumin Xue, Dan Li, Yuwei Pan, Xuya Zhang, Xueying Kuang, Biao Zhou, Ming Li, Xiaoling Xiong, Wei Li, Guiyuan Zeng, Zhaoyang Yang, Tubao J Cancer Research Paper Background: MALAT-1 is significantly overexpressed in various cancers, suggesting that it might be a potential biomarker of cancer. Methods: A meta-analysis was performed using microarray data obtained via the Affymetrix Human Genome U133 Plus 2.0 platform found in the Gene Expression Omnibus (GEO) database and data obtained through a systematic search of PubMed and Web of Science. The pooled odds ratio (OR) and hazard ratio (HR) with 95% CI (Confidence interval) were used to judge the value of biomarkers. Results: A total of 28 studies were included in this meta-analysis, comprising a total of 3573 patients. MALAT-1 was significantly linked with over survival (OS) (HR=1.58, 95%CI: 1.12-2.23), recurrence-free survival (RFS) (HR=2.32, 95% CI: 1.68-3.19) and death-free survival (DFS) (HR=3.28, 95% CI: 1.52-7.09). We found that MALAT-1 was a risk factor in the prognoses of lung cancer (HR=1.54, 95%CI: 1.01-2.34), digestive system cancer (HR=2.16, 95% CI: 1.34-3.48) and ovarian cancer (HR=3.98, 95% CI: 1.54-10.25). In contrast, MALAT-1 was a safe factor in the prognosis of B cell lineage cancer (HR=0.45, 95% CI: 0.33-0.61). MALAT-1 was also a risk factor of RFS in breast cancer (HR=1.97, 95% CI: 1.25-3.09) and the TNM stage in pancreatic cancer (OR=3.65, 95% CI: 1.86-7.18) and glioma (OR=4.30, 95% CI: 1.90-9.73) and was a safe factor in colorectal cancer (OR=0.17, 95% CI: 0.08-0.35). MALAT-1 was significantly associated with lymph node metastasis in clear cell carcinoma (OR=5.04, 95% CI: 2.36-10.78) and distant metastasis in pancreatic cancer (OR=11.64, 95% CI: 2.13-63.78). Conclusions: MALAT-1 can serve as a molecular marker in different types of cancers. Ivyspring International Publisher 2016-05-20 /pmc/articles/PMC4910592/ /pubmed/27313790 http://dx.doi.org/10.7150/jca.14663 Text en © Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions.
spellingShingle Research Paper
Wang, Yumin
Xue, Dan
Li, Yuwei
Pan, Xuya
Zhang, Xueying
Kuang, Biao
Zhou, Ming
Li, Xiaoling
Xiong, Wei
Li, Guiyuan
Zeng, Zhaoyang
Yang, Tubao
The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
title The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
title_full The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
title_fullStr The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
title_full_unstemmed The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
title_short The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
title_sort long noncoding rna malat-1 is a novel biomarker in various cancers: a meta-analysis based on the geo database and literature
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910592/
https://www.ncbi.nlm.nih.gov/pubmed/27313790
http://dx.doi.org/10.7150/jca.14663
work_keys_str_mv AT wangyumin thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT xuedan thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT liyuwei thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT panxuya thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT zhangxueying thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT kuangbiao thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT zhouming thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT lixiaoling thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT xiongwei thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT liguiyuan thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT zengzhaoyang thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT yangtubao thelongnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT wangyumin longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT xuedan longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT liyuwei longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT panxuya longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT zhangxueying longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT kuangbiao longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT zhouming longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT lixiaoling longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT xiongwei longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT liguiyuan longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT zengzhaoyang longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature
AT yangtubao longnoncodingrnamalat1isanovelbiomarkerinvariouscancersametaanalysisbasedonthegeodatabaseandliterature