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BMC Women's Health
Published in: BMC Women's Health 1/2018

Open Access 01-12-2018 | Research article

Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis

Authors: Yan Xia, Xuemin Wei, Hui Gong, Yunxiang Ni

Published in: BMC Women's Health | Issue 1/2018

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Abstract

Background

The purpose of this comprehensive meta-analysis was to assess the association of aldehyde dehydrogenase (ALDH) expression with overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS) in ovarian cancer patients.

Methods

Systematic searches of Pubmed databases was performed to identify relevant literature published before February 28, 2018. A total of 14 studies (13 articles) with 2210 ovarian cancer patients were pooled. All included studies were performed by using Immunohistochemistry (IHC) for detection of ALDH expression. Hazard ratio (HR) and 95% confidence interval (CI) were extracted from included studies to evaluate the correlation of ALDH expression with OS and DFS/PFS.

Results

High expression of ALDH was associated with worse OS (HR: 1.43; 95% CI: 1.18–1.73) and poor DFS/PFS (HR: 1.55, 95% CI: 1.12–2.14). No evidence of publication bias was observed in OS (Begg’s test, P = 0.113; Egger’s test, P = 0.355) and DFS/PFS (Begg’s test, P = 0.655; Egger’s test, P = 0.189) in ovarian cancer patients. The subgroup of studies with cut-off value of low expression showed that high expression of ALDH was correlated with poor OS (HR: 1.36; 95% CI: 1.14–1.62) and DFS/PFS (HR: 1.79; 95% CI: 1.45–2.20) in ovarian cancer patients, with no observed heterogeneity (OS: I2 = 0%, P = 0.45; DFS/PFS: I2 = 0%, P = 0.55).

Conclusion

In conclusion, high expression of ALDH is correlated with worse survival profiles in ovarian cancer patients, indicating that ALDH might act as a potential molecular biomarker for prognosis of ovarian cancer.
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Metadata
Title
Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
Authors
Yan Xia
Xuemin Wei
Hui Gong
Yunxiang Ni
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Women's Health / Issue 1/2018
Electronic ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-018-0686-x

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