ZWINT is a crucial component of the mitotic checkpoint. However, its possible role in
lung cancer is unclear. In this study, we determined its correlation with
lung cancer.
METHODS: Real-time PCR and immunohistochemistry (IHC) were used to determine 40 collected clinical
lung cancer samples. Chi-square test was used to examine possible correlations between ZWINT expression and clinicopathological factors. The prognostic significance of
mRNA expression of ZWINT in
lung cancer was evaluated using the Kaplan-Meier plotter. Univariate and multivariate Cox proportional hazards regression analysis were performed to determine whether ZWINT is an independent risk factor for overall survival (OS) and disease-free survival (DFS) of
lung cancer patients. Additionally, STRING database was used to analyze
protein-
protein interactions.
RESULTS: In this study, we screened 13 GSE datasets and detected that ZWINT is highly expressed in multiple
carcinomas including lung,
melanoma, prostate, nasopharyngeal, gastric, pancreatic, colon, esophageal, ovarian, renal, breast and
liver cancer. Real-time PCR and IHC results of collected clinical
lung cancer samples confirmed that ZWINT is highly expressed in
tumor tissues compared with adjacent non-
tumor tissues. Additionally, high expression of ZWINT might predict poor OS and DFS in
lung cancer patients. Moreover, disease stage and expression level of ZWINT were correlated with recurrence-free survival and OS in
lung cancer. Analysis of
protein-
protein interaction based on STRING database gained 8 top genes which could interact with ZWINT, including PMF1, MIS12, DSN1, ZW10, BUB1, BUB1B, CASC5, NDC80, NSL1 and NUF2.
CONCLUSION: