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Meta-Analysis
. 2014 May 1;9(5):e95285.
doi: 10.1371/journal.pone.0095285. eCollection 2014.

The role of BRCA status on the prognosis of patients with epithelial ovarian cancer: a systematic review of the literature with a meta-analysis

Affiliations
Meta-Analysis

The role of BRCA status on the prognosis of patients with epithelial ovarian cancer: a systematic review of the literature with a meta-analysis

Chaoyang Sun et al. PLoS One. .

Abstract

Objective: The role of BRCA dysfunction on the prognosis of patients with epithelial ovarian cancer (EOCs) remains controversial. This systematic review tried to assess the role of BRCA dysfunction, including BRCA1/2 germline, somatic mutations, low BRCA1 protein/mRNA expression or BRCA1 promoter methylation, as prognostic factor in EOCs.

Methods: Studies were selected for analysis if they provided an independent assessment of BRCA status and prognosis in EOC. To make it possible to aggregate survival results of the published studies, their methodology was assessed using a modified quality scale.

Results: Of 35 evaluable studies, 23 identified BRCA dysfucntion status as a favourable prognostic factor. No significant differences were detected in the global score of quality assessment. The aggregated hazard ratio (HR) of overall survival (OS) of 34 evaluable studies suggested that BRCA dysfunction status had a favourable impact on OS (HR = 0.69, 95% CI 0.61-0.79), and when these studies were categorised into BRCA1/2 mutation and low protein/mRNA expression of BRCA1 subgroups, all of them demonstrated positive results (HR = 0.67, 95% CI: 0.57-0.78; HR = 0.62, 95% CI: 0.51-0.75; and HR = 0.51, 95% CI: 0.33-0.78, respectively), except for the subgroup of BRCA1 promoter methylation (HR = 1.59, 95% CI: 0.72-3.50). The meta-analysis of progression-free survival (PFS), which included 18 evaluable studies, demonstrated that BRCA dysfunction status was associated with a longer PFS in EOC (HR = 0.69, 95% CI: 0.63-0.76).

Conclusions: Patients with BRCA dysfunction status tend to have a better outcome, but further prospective clinical studies comparing the different BRCA statuses in EOC is urgently needed to specifically define the most effective treatment for the separate patient groups.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Flow chart of publication selection.
Figure 2
Figure 2. Summary hazard ratios (HRs) and 95% confidence intervals (CIs) of epithelial ovarian cancer OS for BRCA dysfunction status.
Horizontal lines represent 95% CIs; diamonds represent summary estimates with corresponding 95% CIs. Test for heterogeneity: P = .000, I 2 = 61.7%. A random-effects model was used for analysis.
Figure 3
Figure 3. Subgroup meta-analysis of summary hazard ratios (HRs) and 95% confidence intervals (CIs) of ovarian cancer OS for different BRCA mutation statuses.
A: BRCA1 mutation. B: BRCA2 mutation. Horizontal lines represent 95% CIs; diamonds represent summary estimates with corresponding 95% CIs. Test for heterogeneity: A: P = .251, I 2 = 20.2%, a fixed-effects model was used; B: P = .023, I 2 = 55.1%, a random-effects model was used.
Figure 4
Figure 4. Summary hazard ratios (HRs) and 95% confidence intervals (CIs) of ovarian cancer PFS for BRCA dysfunction status.
Horizontal lines represent 95% CIs; diamonds represent summary estimates with corresponding 95% CIs. Test for heterogeneity: P = .118, I 2 = 29.3%. A fixed-effects model was used.
Figure 5
Figure 5. Begg’s funnel plots of the natural logarithm of the hazard ratios (HRs) and the SE of the natural logarithm of the HRs for all of the included studies reported with OS and PFS.
A: Begg’s funnel plots for all of the included studies reported with OS, the dashed line represents 95% confidence intervals (CIs). Circles represent individual studies. Begg’s test: P = 0.221. B: Begg’s funnel plots for all of the included studies reported with PFS, the dashed line represents 95% confidence intervals (CIs). Circles represent individual studies. Begg’s test: P = 0.880.

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