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

Authors :
Wan WN
Zhang YQ
Wang XM
Liu YJ
Zhang YX
Que YH
Zhao WJ
Li P
Source :
Diagnostic pathology [Diagn Pathol] 2014 Sep 26; Vol. 9, pp. 178. Date of Electronic Publication: 2014 Sep 26.
Publication Year :
2014

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.<br />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.<br />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).<br />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.<br />Virtual Slides: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_178.

Details

Language :
English
ISSN :
1746-1596
Volume :
9
Database :
MEDLINE
Journal :
Diagnostic pathology
Publication Type :
Academic Journal
Accession number :
25257702
Full Text :
https://doi.org/10.1186/s13000-014-0178-8