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. 2020 Jan;9(1):187-193.
doi: 10.21037/tcr.2019.12.66.

The overexpression of ZWINT in integrated bioinformatics analysis forecasts poor prognosis in breast cancer

Affiliations

The overexpression of ZWINT in integrated bioinformatics analysis forecasts poor prognosis in breast cancer

Ming-Tao Shao et al. Transl Cancer Res. 2020 Jan.

Abstract

Background: Zeste White 10 interactor (ZW10 interactor, ZWINT) is a centromeric complex required for a mitotic spindle checkpoint. According to previous studies, it was overexpressed in people with recurrent tumors. However, the expression of ZWINT in breast cancer has not been thoroughly studied. In addition, the correlations of ZWINT to prognosis in breast cancer remain unclear.

Methods: In this study, the expression of ZWINT in different types of tumors was analyzed based on the Oncomine database, and the effect of ZWINT expression on clinical prognosis was evaluated by Kaplan-Meier plotter.

Results: In breast cancer, lung cancer, sarcoma, ovarian cancer, bladder cancer, liver cancer and cervical cancer, the expression of ZWINT was higher than that in normal tissues, but in gastric cancer, prostate cancer, myeloma, renal cancer and pancreatic cancer, the expression of ZWINT was lower. In addition, a meta-analysis of 22 cancer database studies found that the ZWINT gene was over-expressed in breast cancer tissues compared with normal tissues (P=4.05×10-6). Through the survival analysis of Kaplan-Meier plotter, it is found that the high expression of ZWINT is related to the worse overall survival (OS) [hazard ratio (HR) =1.73, 95% confidence interval (CI): 1.39-2.51, P=5.4×10-7], RFS (HR =1.68, 95% CI: 1.51-1.88, P<1×10-16) and distant metastasis-free survival (DMFS) (HR =1.55, 95% CI: 1.28-1.89, P=7.9×10-6) in all BC patients.

Conclusions: Our results strongly suggest that over expression of ZWINT is closely related to poor prognosis of breast cancer. ZWINT may be a prognostic biomarker for the treatment of BC.

Keywords: ZWINT; bioinformatics analysis; biomarker; breast cancer.

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tcr.2019.12.66). The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
The expression pattern of ZWINT in different types of tumors. The number of data sets shown in this graph belongs to the over-expression (red) or down-expression (blue) of target genes (cancer and normal tissues), which is of statistical significance. The threshold of P value is 0.01. The number in each cell is the number of analyses that satisfy these thresholds in the cancer type. Of all the genes measured in each study, the rank of the gene was related to the percentage of the target gene. Cell color depends on the percentile of optimal gene sequencing for intracellular analysis.
Figure 2
Figure 2
GATA family analysis in Breast cancer (ONCOMINE database). The box plot is derived from gene expression data in ONCOMINE, showing different expression of ZWINT in normal tissues and breast cancer tissues. The P value is 0.01 and the fold change is 2.
Figure 3
Figure 3
Prognostic value of ZWINT in breast cancer. In all breast cancer patients, the high mRNA levels of ZWINT are associated with worse OS (A)/RFS (B)/DMFS (C) in all patients with breast cancers. OS, overall survival; RFS, recurrence-free survival; DMFS, distant metastasis-free survival.

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