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Meta-Analysis
. 2018 Jul 25;13(7):e0199675.
doi: 10.1371/journal.pone.0199675. eCollection 2018.

Prognostic Significance of CIP2A Expression in Solid Tumors: A Meta-Analysis

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Free PMC article
Meta-Analysis

Prognostic Significance of CIP2A Expression in Solid Tumors: A Meta-Analysis

Min Tang et al. PLoS One. .
Free PMC article

Abstract

CIP2A, cancerous inhibitor of protein phosphatase 2A, was initially recognized as an oncoprotein. Recently several studies revealed that CIP2A could function as a prognosis biomarker, however, the result remained not comprehensive, partly due to small number of patients included individually. Here we carried out a meta-analysis of published studies to assess the prognostic significance of CIP2A in solid tumors. All eligible studies were identified through searching PubMed, Embase and Web of Science database. In this meta-analysis, 22 studies involving 4,579 participants were included, and we verified that CIP2A over-expression was significantly related with poor overall survival (pooled HR = 1.844, 95% CI = 1.528-2.225, P<0.001) and short disease free survival (pooled HR = 1.808, 95% CI = 1.591-2.055, P<0.001) in solid tumors. Additionally, subgroup analysis suggested that the trend of a poor overall survival with an increased CIP2A expression was present in East-Asian and European patients, as well as in lung cancer and colorectal cancer. To sum up, CIP2A over-expression was associated with poor survival in human solid tumors and might be a predictive factor of poor prognosis.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. The flow chart of the selection process in our meta-analysis.
Fig 2
Fig 2. The correlation between CIP2A expression and overall survival (OS) in solid tumors.
Fig 3
Fig 3. The correlation between CIP2A expression and disease free survival (DFS) in solid tumors.
Fig 4
Fig 4. Begg’s funnel plots for the studies involved in the meta-analysis.
(A) overall survival (B)disease free survival. Abbreviations: loghr, logarithm of hazard ratios; s.e., standard error.
Fig 5
Fig 5. Sensitivity analysis of the meta-analysis.
(A) overall survival (B) disease free survival.

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Grant support

National Natural Science Foundation 81472786 and 81773192, Natural Science Foundation of Jiangsu Province BK20171248, Jiangsu Province Youth Medical Talents Project, QNRC2016527, the Foundation of tumor clinical and basic research team KYC005, and Suzhou City Health Science and Technology Project LCZX201619 to MBC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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