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Updated: May 11, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Prognostic value of survivin expression in breast cancer patients: a meta-analysis
Jian Song1, Hong Su, Yang-Yang Zhou
1Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 69 Meishan Road, Hefei, 230032, Anhui Province, China.
Abstract:
The prognostic role of survivin expression in breast cancer patients has been widely reported. However, controversy still remains. Thus, a meta-analysis was conducted to obtain a more precise estimation of the relationship between survivin expression and overall survival (OS) in breast cancer patients. Relevant articles were selected for further assessment by online search in PubMed, EMBASE, and China National Knowledge Infrastructure. Pooled hazard ratios (HR) with 95 % confidence interval (95 % CI) were used to estimate the strength of the association between survivin expression and OS in breast cancer patients. Funnel plots of Begger's and Egger's linear regression test were used to evaluate the publication bias. Heterogeneity and sensitivity analysis were also assessed. Fifteen studies were included in the final analysis with the total number of 2,202 patients. There was a significant association between positive survivin expression and a poor OS consequence in patients with breast cancer (pooled HR 1.80, 95 % CI 1.55-2.09). No significant heterogeneity was observed among all the eligible studies (x (2) = 21.87, p = 0.081, I (2) = 36.0 %). Publication bias was absent. Sensitivity analysis revealed that the results of this meta-analysis were robust. Our results suggested that high survivin expression had an unfavorable prognostic role for patients with breast cancer.
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