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. 2015 Jan 15;8(1):616-24.
eCollection 2015.

Clinicopathological and prognostic role of SIRT1 in breast cancer patients: a meta-analysis

Yu-Wen Cao  1 , Yu-Cong Li  1 , Guo-Xing Wan  1 , Xiao-Ming Du  1 , Feng Li  1
Affiliations

Clinicopathological and prognostic role of SIRT1 in breast cancer patients: a meta-analysis

Yu-Wen Cao et al. Int J Clin Exp Med. .

Abstract

Background: Silent mating type information regulation 2 homolog-1 (SIRT1) plays an important role in the progression and development of cancer, including breast cancer. However, the association between SIRT1 expression and clinicopathological parameters and prognosis in breast cancer remains inconclusive. To accurately evaluate the significance of SIRT1 expression in breast cancer, a meta-analysis based on published studies was performed.

Methods: The PubMed, Embase, ISI Web of Science, Science Direct, and Chinese National Knowledge Infrastructure databases were screened to retrieve relevant literature. The reported odds ratios (ORs) and hazard ratios (HRs) and their 95% corresponding confidence intervals (CIs) were pooled to estimate the strength of specific associations.

Results: Six studies involving 604 patients were included in the meta-analysis. The pooled analyses showed a significant correlation between SIRT1 expression and poor disease-free survival (DFS) (HR = 3.07, 95% CI: 1.92-4.91, Z = 4.69, P < 0.001) and overall survival (OS) (HR = 3.94, 95% CI: 2.19-7.10, Z = 4.57, P < 0.001). SIRT1 expression also significantly correlated with high TNM stage (pooled OR = 2.92, 95% CI: 1.84-4.63) and lymph node metastasis (pooled OR = 3.22, 95% CI: 0.98-10.57).

Conclusions: Our meta-analysis shows that SIRT1 expression correlates with unfavorable clinical outcomes. We suggest that SIRT1 expression may have potential value in the pathological diagnosis and clinical treatment of patients with breast cancer. More studies are warranted to investigate the effect of SIRT1 on the survival of breast cancer patients.

Keywords: SIRT1; breast cancer; meta-analysis; prognosis.

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Figures

Figure 1
Figure 1
Flow chart of included studies.
Figure 2
Figure 2
Forest plots of associations between SIRT1 expression with TNM (A) and LNM (B) in breast cancer patients.
Figure 3
Figure 3
Forest plots of associations between SIRT1 expression with DFS (A) and OS (B) in breast cancer patients.
Figure 4
Figure 4
Funnel plots for the evaluation of potential publication bias in the impact of SIRT1 expression on TNM (A), LNM (B), DFS (C) and OS (D) in breast cancer patients. The Egger test for publication bias was not significant for TNM (P = 0.821), LNM (P = 0.573), DFS (P = 0.515) and OS (P = 0.272).
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