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The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer

OBJECTIVE: To evaluate the association of tumor-derived matrix metalloproteinase 2 (MMP-2) and stromal-derived MMP-2 expression with the prognosis of patients with ovarian cancer, a meta-analysis study was performed, which was aimed to comprehensively review the evidence of MMP-2 as prognostic bioma...

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Autores principales: Fu, Ziyi, Xu, Sujuan, Xu, Ye, Ma, Jiehua, Li, Jingyun, Xu, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340603/
https://www.ncbi.nlm.nih.gov/pubmed/25695542
http://dx.doi.org/10.1097/IGC.0000000000000386
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author Fu, Ziyi
Xu, Sujuan
Xu, Ye
Ma, Jiehua
Li, Jingyun
Xu, Pengfei
author_facet Fu, Ziyi
Xu, Sujuan
Xu, Ye
Ma, Jiehua
Li, Jingyun
Xu, Pengfei
author_sort Fu, Ziyi
collection PubMed
description OBJECTIVE: To evaluate the association of tumor-derived matrix metalloproteinase 2 (MMP-2) and stromal-derived MMP-2 expression with the prognosis of patients with ovarian cancer, a meta-analysis study was performed, which was aimed to comprehensively review the evidence of MMP-2 as prognostic biomarkers in ovarian cancers. METHODS: All relevant studies were searched in PubMed and Web of Science until May 30, 2014. Hazard ratios (HRs) with their 95% confidence intervals (CIs) were used to assess the association between MMP-2 expression (tumor-derived or stromal-derived) and prognosis of patients with ovarian cancer. Pooled odds ratios (ORs) and their 95% CIs were used to assess the correlation of MMP-2 expression with the clinicopathological features of patients with ovarian cancer. RESULTS: A total of 965 patients in 8 studies were included in this analysis. Among them, tumor-derived and stromal-derived MMP-2 expression was detected in 7 and 5 articles, respectively. The results revealed that ovarian cancer patients with positive tumor-derived MMP-2 expression showed a worse prognosis than did the ones with negative tumor-derived MMP-2 expression (HR, 1.52; 95% CI, 1.06–2.20). However, ovarian cancer patients with positive stromal-derived MMP-2 expression had not. In addition, we also found that tumor-derived MMP-2 expression was associated with distant metastasis (absent vs present; pooled OR, 4.52; 95% CI, 1.56–13.09; P = 0.001). CONCLUSIONS: These results suggested that positive tumor-derived MMP-2 expression could predict a lower overall survival rate and could be an independent dangerous prognostic factor in patients with ovarian cancer.
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spelling pubmed-43406032015-03-12 The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer Fu, Ziyi Xu, Sujuan Xu, Ye Ma, Jiehua Li, Jingyun Xu, Pengfei Int J Gynecol Cancer Basic Science OBJECTIVE: To evaluate the association of tumor-derived matrix metalloproteinase 2 (MMP-2) and stromal-derived MMP-2 expression with the prognosis of patients with ovarian cancer, a meta-analysis study was performed, which was aimed to comprehensively review the evidence of MMP-2 as prognostic biomarkers in ovarian cancers. METHODS: All relevant studies were searched in PubMed and Web of Science until May 30, 2014. Hazard ratios (HRs) with their 95% confidence intervals (CIs) were used to assess the association between MMP-2 expression (tumor-derived or stromal-derived) and prognosis of patients with ovarian cancer. Pooled odds ratios (ORs) and their 95% CIs were used to assess the correlation of MMP-2 expression with the clinicopathological features of patients with ovarian cancer. RESULTS: A total of 965 patients in 8 studies were included in this analysis. Among them, tumor-derived and stromal-derived MMP-2 expression was detected in 7 and 5 articles, respectively. The results revealed that ovarian cancer patients with positive tumor-derived MMP-2 expression showed a worse prognosis than did the ones with negative tumor-derived MMP-2 expression (HR, 1.52; 95% CI, 1.06–2.20). However, ovarian cancer patients with positive stromal-derived MMP-2 expression had not. In addition, we also found that tumor-derived MMP-2 expression was associated with distant metastasis (absent vs present; pooled OR, 4.52; 95% CI, 1.56–13.09; P = 0.001). CONCLUSIONS: These results suggested that positive tumor-derived MMP-2 expression could predict a lower overall survival rate and could be an independent dangerous prognostic factor in patients with ovarian cancer. Lippincott Williams & Wilkins 2015-03 2015-02-20 /pmc/articles/PMC4340603/ /pubmed/25695542 http://dx.doi.org/10.1097/IGC.0000000000000386 Text en Copyright © 2015 by IGCS and ESGO This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.
spellingShingle Basic Science
Fu, Ziyi
Xu, Sujuan
Xu, Ye
Ma, Jiehua
Li, Jingyun
Xu, Pengfei
The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer
title The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer
title_full The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer
title_fullStr The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer
title_full_unstemmed The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer
title_short The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer
title_sort expression of tumor-derived and stromal-derived matrix metalloproteinase 2 predicted prognosis of ovarian cancer
topic Basic Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340603/
https://www.ncbi.nlm.nih.gov/pubmed/25695542
http://dx.doi.org/10.1097/IGC.0000000000000386
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