Prognostic value of progesterone receptor expression in ovarian cancer: a meta-analysis
- PMID: 28415663
- PMCID: PMC5482703
- DOI: 10.18632/oncotarget.15982
Prognostic value of progesterone receptor expression in ovarian cancer: a meta-analysis
Abstract
Objective: While a prognosis value of progesterone receptor (PR) in ovarian cancer has been reported in some publications, controversial data were presented by different reports. In order to address the disagreement of progesterone receptor in ovarian cancer survival, we conducted this meta-analysis.
Methods: Relevant articles on progesterone receptor and ovarian cancer prognosis were identified via a thorough search of PubMed, Embase and Cochrane Central. Hazard ratios (HR) and 95% confidence interval (CI) were extracted from studies on overall survival (OS) and disease-free survival (DFS)/progress-free survival (PFS)/recurrence-free survival (RFS).
Result: A total of 28 eligible studies containing 5685 patients were collected for analysis. It was found that progesterone receptor positivity was significantly associated with favorable overall survival (OS) (HR = 0.86, 95% CI = 0.78 to 0.95, P = 0.002) and disease-free survival (DFS)/progress-free survival (PFS)/recurrence-free survival (RFS) (HR = 0.75, 95% CI = 0.61 to 0.93, P = 0.008) of ovarian cancer patients. Subgroup analysis showed that progesterone receptor expression was associated with a favorable prognosis of unclassified ovarian cancer, European origin, and immunohistochemical detection method.
Conclusion: Progesterone receptor expression can be used as a favorable prognostic predictor in ovarian cancer managements.
Keywords: meta-analysis; ovarian cancer; progesterone receptor; prognostic.
Conflict of interest statement
The authors have declared no conflicts of interest.
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References
-
- Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66:7–30. - PubMed
-
- Chudecka-Głaz AM. ROMA, an algorithm for ovarian cancer. Clin Chim Acta. 2015;440:143–151. - PubMed
-
- Chang SJ, Bristow RE, Ryu HS. Impact of complete cytoreduction leaving no gross residual disease associated with radical cytoreductive surgical procedures on survival in advanced ovarian cancer. Ann Surg Oncol. 2012;19:4059–4067. - PubMed
-
- Banerjee S, Kaye SB. New strategies in the treatment of ovarian cancer: current clinical perspectives and future potential. Clin Cancer Res. 2013;19:961–968. - PubMed
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