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Published in: Diagnostic Pathology 1/2014

Open Access 01-12-2014 | Research

Down-regulated miR-22 as predictive biomarkers for prognosis of epithelial ovarian cancer

Authors: Wei-na Wan, Yu-qin Zhang, Xue-mei Wang, Yan-jun Liu, Yi-xia Zhang, Yan-hong Que, Wen-jing Zhao, Ping Li

Published in: Diagnostic Pathology | Issue 1/2014

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Abstract

Background

Recent studies have demonstrated that microRNA-22 (miR-22) was deregulated in many types of cancers and was involved in various cellular processes related to carcinogenesis. However, the clinical significance and prognostic value of miR-22 in epithelial ovarian cancer (EOC) haven't been investigated.

Methods

109 pairs of fresh EOC tissue and matched adjacent normal tissue specimens were collected between May 2007 and March 2013. Real-time quantitative RT-PCR assay was performed to evaluate the expression levels of miR-22. The chi-square test was used to assess miR-22 expression with respect to clinicopathological parameters. The survival curves of the patients were determined using the Kaplan-Meier method and Cox regression, and the log-rank test was used for statistical evaluations.

Results

miR-22 expression in EOC tissues was significantly lower than that in matched normal adjacent tissues (mean ± SD: 1.944 ± 1.026 vs. 4.981 ± 1.507, P < 0.0001). Low miR-22 expression level was correlated with FIGO stage (P = 0.006), tumor grade (P = 0.03), and lymph node metastases (P = 0.01). Kaplan-Meier analysis with the log-rank test indicated that low miR-22 expression had a significant impact on overall survival (44.4% vs. 64.5%; P = 0.005) and progression-free survival (23.5% vs. 52.6%; P = 0.004).

Conclusions

Our data demonstrated that the expression of miR-22 was downregulated in EOC, and associated with overall survival as well as progression-free survival, suggesting that miR-22 could serve as an efficient prognostic factor for EOC patients.

Virtual slides

Appendix
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Metadata
Title
Down-regulated miR-22 as predictive biomarkers for prognosis of epithelial ovarian cancer
Authors
Wei-na Wan
Yu-qin Zhang
Xue-mei Wang
Yan-jun Liu
Yi-xia Zhang
Yan-hong Que
Wen-jing Zhao
Ping Li
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue 1/2014
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/s13000-014-0178-8

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