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Prediction of poor prognosis in breast cancer patients based on microRNA-21 expression: a meta-analysis.


ABSTRACT: MicroRNA-21 (miRNA-21 or miR-21) may act as a prognostic biomarker of cancer. However, the available evidence is controversial. Therefore, the present meta-analysis summarizes this evidence and evaluates the prognostic role of this gene in breast cancer.The meta-analysis was conducted by searching the databases of PubMed, EMBASE, Web of Science and Chinese database-China National Knowledge Infrastructure (CNKI). Data were extracted from studies that investigated the association between miR-21 expression and survival outcomes in breast cancer patients. With respect to survival outcomes, the pooled hazard ratios (HRs) of miR-21 were calculated given a 95% confidence interval (CI).Our meta-analysis identified a total of 10 studies involving 1,439 cases. Further investigation demonstrated that a high miR-21 expression can predict poor overall survival (OS) (HR = 2.57, 95% CI: 1.37-4.81, P = 0.003) and shortened disease-free/recurrence-free survival (DFS/RFS) (HR = 1.45, 95% CI: 1.16-1.82, P = 0.001) in breast cancer patients. Moreover, high miR-21 expression was significantly correlated with lowered OS in the Asian group (HR = 5.07, 95% CI: 2.89-8.92, P < 0.001), but not in the Caucasian cohort (HR = 1.44, 95% CI: 0.99-2.10, P = 0.058). Furthermore, odds ratios (ORs) showed that up-regulated miR-21 levels were associated with multiple clinical characteristics.Our results indicated that miR-21 can predict unfavorable prognoses in breast cancer patients, especially in Asians.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC4338069 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Prediction of poor prognosis in breast cancer patients based on microRNA-21 expression: a meta-analysis.

Wang Yanyan Y   Zhang Yujie Y   Pan Chi C   Ma Feixia F   Zhang Suzhan S  

PloS one 20150223 2


<h4>Background</h4>MicroRNA-21 (miRNA-21 or miR-21) may act as a prognostic biomarker of cancer. However, the available evidence is controversial. Therefore, the present meta-analysis summarizes this evidence and evaluates the prognostic role of this gene in breast cancer.<h4>Methods</h4>The meta-analysis was conducted by searching the databases of PubMed, EMBASE, Web of Science and Chinese database-China National Knowledge Infrastructure (CNKI). Data were extracted from studies that investigate  ...[more]

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