Cargando…
Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis
Accumulating evidence indicates that aberrant regulation of metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), a long noncoding RNA (lncRNA), plays a vital role in tumorigenesis. However, its association with breast cancer has not been systematically evaluated. In the current study, a...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419804/ https://www.ncbi.nlm.nih.gov/pubmed/32700729 http://dx.doi.org/10.1042/BSR20200215 |
_version_ | 1783569950049304576 |
---|---|
author | Wang, Yanyan Zhang, Yujie Hu, Kaimin Qiu, Jili Hu, Yue Zhou, Meiqi Zhang, Suzhan |
author_facet | Wang, Yanyan Zhang, Yujie Hu, Kaimin Qiu, Jili Hu, Yue Zhou, Meiqi Zhang, Suzhan |
author_sort | Wang, Yanyan |
collection | PubMed |
description | Accumulating evidence indicates that aberrant regulation of metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), a long noncoding RNA (lncRNA), plays a vital role in tumorigenesis. However, its association with breast cancer has not been systematically evaluated. In the current study, a meta-analysis was conducted to clarify the association between MALAT-1 and the prognosis and clinicopathological features of breast cancer. Relevant literature published in several databases was searched. Hazard ratio (HR) and odds ratio (OR) with 95% confidence interval (CI) were calculated to evaluate the effect of MALAT-1 expression on the survival outcomes and clinicopathological features of breast cancer. A total of 12 studies involving 4106 patients were identified. Pooled HR demonstrated that elevated MALAT-1 expression significantly predicted unfavorable overall survival (HR = 2.06, 95% CI: 1.66–2.56, P<0.0001) in patients with breast cancer. Subgroup analysis stratified by cancer type, sample size, and method of variance analysis also showed statistically significant associations. Additionally, the HR of patients with up-regulated MALAT-1 expression concerning disease-free survival (DFS), recurrence-free survival (RFS), and disease-specific survival (DSS) was 1.91 (95% CI: 1.53–2.39, P<0.0001). Further, elevated MALAT-1 expression was positively correlated with the progesterone receptor (PR) status (OR = 1.47, 95% CI: 1.18–1.82). Thus, MALAT-1 is a promising biomarker for predicting survival outcomes in patients with breast cancer. |
format | Online Article Text |
id | pubmed-7419804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74198042020-08-19 Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis Wang, Yanyan Zhang, Yujie Hu, Kaimin Qiu, Jili Hu, Yue Zhou, Meiqi Zhang, Suzhan Biosci Rep Bioinformatics Accumulating evidence indicates that aberrant regulation of metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), a long noncoding RNA (lncRNA), plays a vital role in tumorigenesis. However, its association with breast cancer has not been systematically evaluated. In the current study, a meta-analysis was conducted to clarify the association between MALAT-1 and the prognosis and clinicopathological features of breast cancer. Relevant literature published in several databases was searched. Hazard ratio (HR) and odds ratio (OR) with 95% confidence interval (CI) were calculated to evaluate the effect of MALAT-1 expression on the survival outcomes and clinicopathological features of breast cancer. A total of 12 studies involving 4106 patients were identified. Pooled HR demonstrated that elevated MALAT-1 expression significantly predicted unfavorable overall survival (HR = 2.06, 95% CI: 1.66–2.56, P<0.0001) in patients with breast cancer. Subgroup analysis stratified by cancer type, sample size, and method of variance analysis also showed statistically significant associations. Additionally, the HR of patients with up-regulated MALAT-1 expression concerning disease-free survival (DFS), recurrence-free survival (RFS), and disease-specific survival (DSS) was 1.91 (95% CI: 1.53–2.39, P<0.0001). Further, elevated MALAT-1 expression was positively correlated with the progesterone receptor (PR) status (OR = 1.47, 95% CI: 1.18–1.82). Thus, MALAT-1 is a promising biomarker for predicting survival outcomes in patients with breast cancer. Portland Press Ltd. 2020-08-11 /pmc/articles/PMC7419804/ /pubmed/32700729 http://dx.doi.org/10.1042/BSR20200215 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY). |
spellingShingle | Bioinformatics Wang, Yanyan Zhang, Yujie Hu, Kaimin Qiu, Jili Hu, Yue Zhou, Meiqi Zhang, Suzhan Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
title | Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
title_full | Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
title_fullStr | Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
title_full_unstemmed | Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
title_short | Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
title_sort | elevated long noncoding rna malat-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419804/ https://www.ncbi.nlm.nih.gov/pubmed/32700729 http://dx.doi.org/10.1042/BSR20200215 |
work_keys_str_mv | AT wangyanyan elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis AT zhangyujie elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis AT hukaimin elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis AT qiujili elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis AT huyue elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis AT zhoumeiqi elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis AT zhangsuzhan elevatedlongnoncodingrnamalat1expressionispredictiveofpoorprognosisinpatientswithbreastcancerametaanalysis |