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

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 database...

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Autores principales: Xia, Yan, Wei, Xuemin, Gong, Hui, Ni, Yunxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284301/
https://www.ncbi.nlm.nih.gov/pubmed/30522488
http://dx.doi.org/10.1186/s12905-018-0686-x
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author Xia, Yan
Wei, Xuemin
Gong, Hui
Ni, Yunxiang
author_facet Xia, Yan
Wei, Xuemin
Gong, Hui
Ni, Yunxiang
author_sort Xia, Yan
collection PubMed
description 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: I(2) = 0%, P = 0.45; DFS/PFS: I(2) = 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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spelling pubmed-62843012018-12-14 Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis Xia, Yan Wei, Xuemin Gong, Hui Ni, Yunxiang BMC Womens Health Research Article 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: I(2) = 0%, P = 0.45; DFS/PFS: I(2) = 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. BioMed Central 2018-12-06 /pmc/articles/PMC6284301/ /pubmed/30522488 http://dx.doi.org/10.1186/s12905-018-0686-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Xia, Yan
Wei, Xuemin
Gong, Hui
Ni, Yunxiang
Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
title Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
title_full Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
title_fullStr Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
title_full_unstemmed Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
title_short Aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
title_sort aldehyde dehydrogenase serves as a biomarker for worse survival profiles in ovarian cancer patients: an updated meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284301/
https://www.ncbi.nlm.nih.gov/pubmed/30522488
http://dx.doi.org/10.1186/s12905-018-0686-x
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