Prognostic Value of Osteopontin Splice Variant-c Expression in Breast Cancers: A Meta-Analysis

15Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Objectives. Osteopontin (OPN) is overexpressed in breast cancers, while its clinical and prognostic significance remained unclear. This study aimed to assess the prognostic value of OPN, especially its splice variants, in breast cancers. Methods. Data were extracted from eligible studies concerning the OPN and OPN-c expression in breast cancer patients and were used to calculate the association between OPN/OPN-c and survival. Two reviewer teams independently screened the literatures according to the inclusion and exclusion criteria based on quality evaluation. Following the processes of data extraction, assessment, and transformation, meta-analysis was carried out via RevMan 5.3 software. Results. A total of ten studies involving 1,567 patients were included. The results demonstrated that high level OPN indicated a poor outcome in the OS (HR = 2.22, 95% CI: 1.23-4.00, and P = 0.008; random-effects model) with heterogeneity (I 2 = 62 %) of breast cancer patients. High level OPN-c appeared to be more significantly associated with poor survival (HR = 2.14, 95% CI: 1.51-3.04, and P < 0.0001; fixed-effects model) with undetected heterogeneity (I 2 = 0 %). Conclusions. Our analyses indicated that both OPN and OPN-c could be considered as prognostic markers for breast cancers. The high level of OPN-c was suggested to be more reliably associated with poor survival in breast cancer patients.

Cite

CITATION STYLE

APA

Hao, C., Wang, Z., Gu, Y., Jiang, W. G., & Cheng, S. (2016). Prognostic Value of Osteopontin Splice Variant-c Expression in Breast Cancers: A Meta-Analysis. BioMed Research International, 2016. https://doi.org/10.1155/2016/7310694

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free