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microRNA-210 as a prognostic factor in patients with breast cancer: Meta-analysis

Authors: Yanyan, Li; Xuelei, Ma; Jingyi, Zhao; Binglan, Zhang; Zhang, Jing; Lei, Liu;

microRNA-210 as a prognostic factor in patients with breast cancer: Meta-analysis

Abstract

Background: microRNA-210 expression in breast carcinoma represents an appealing prognostic tool, but no consensus exists on this debating topic. Objective: We conducted this comprehensive meta-analysis to summarize evidence for use of microRNA-210 to predict patients’ clinical outcomes. Methods: Relevant literatures were identified using Pubmed and EMBASE. Patients’ clinical characteristics and survival related data were extracted. Statistics extracted from Kaplan–Meier survival curves were calculated with methods developed by Parmar, Williamson, and Tierney, multivariate Cox hazard regression analysis data were used directly in Revman 5.0. Pooled hazard ratios (HRs) were calculated to evaluate the prognostic role of microRNA-210. Results: Finally, 7 studies containing 822 patients were considered eligible, pooled HR (95% CI) of studies for overall survival was 3.94 (1.90–8.15), for disease/recurrence free survival was 3.47 (2.63–4.60) and for metastasis free survival was 2.70 (1.46–5.00). We then respectively grouped the meta-analysis by patients’ region (Asia and non-Asia), tumor estrogen receptor/ progesterone receptor/Her-2 expression status (positive or negative) and treatment strategy (preoperative systemic treatment or only surgery). All the subgroup analysis showed stable prognostic value. Conclusions: Over-expressed microRNA-210 demonstrated a significantly higher risk of recurrence, metastasis and overall decreased survival rates for breast cancer patients.

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Keywords

MicroRNAs, Treatment Outcome, Humans, Breast Neoplasms, Female, Neoplasm Recurrence, Local, Prognosis, Disease-Free Survival

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Average
Top 10%
Related to Research communities
Cancer Research
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