Caijun Dong1, Xiangguo Li2, Kang Li2, Chao Zheng3, Jianjian Ying4. 1. Department of Thoracic Surgery, Hwa Mei Hospital, Ningbo Instiute of Life and HeaIth Industry, University of Chinese Academy of Sciences, Ningbo Zhenjiang, China. 2. Department of Respiratory Medicine, Wenling Hospital, Wenzhou Medical University, Zhejiang, China. 3. Radiotherapy and Chemotherapy Department, Taizhou Cancer Hospital, Zhejiang, China. 4. Department of Thoracic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, China.
Abstract
Background: Lung cancer (LC) represents a leading cause of cancer-related deaths. The aim of this study was to analyze the application value of ZIC5 in the prognosis evaluation of LC. Materials and Methods: The mRNA and protein levels of ZIC5 in LC tissues and adjacent normal controls were detected by quantitative real-time polymerase chain reaction and Western blot analysis, respectively. Chi-square test was performed to estimate the association between ZIC5 expression and clinical features. Furthermore, overall survival (OS) curves were plotted using Kaplan-Meier method with log rank test. The prognosis analysis was analyzed using Cox proportional hazards model. Results: Compared with that of noncancerous tissues, the expression of ZIC5 in LC tissues was significantly increased at both protein and mRNA levels (p < 0.001). Moreover, ZIC5 expression showed a positive correlation with differentiation (p = 0.001) and tumor size (p = 0.016). Survival analysis suggested that high expression of ZIC5 predicted shorter OS (log rank test, p = 0.007). ZIC5 might be an independent prognostic biomarker for LC (hazard ratio = 2.892; 95% confidence interval, 1.297-6.449; p = 0.009). Conclusions: ZIC5 expression is upregulated in LC, and it may be employed as a prognostic biomarker for patients with LC.
Background: Lung cancer (LC) represents a leading cause of cancer-related deaths. The aim of this study was to analyze the application value of ZIC5 in the prognosis evaluation of LC. Materials and Methods: The mRNA and protein levels of ZIC5 in LC tissues and adjacent normal controls were detected by quantitative real-time polymerase chain reaction and Western blot analysis, respectively. Chi-square test was performed to estimate the association between ZIC5 expression and clinical features. Furthermore, overall survival (OS) curves were plotted using Kaplan-Meier method with log rank test. The prognosis analysis was analyzed using Cox proportional hazards model. Results: Compared with that of noncancerous tissues, the expression of ZIC5 in LC tissues was significantly increased at both protein and mRNA levels (p < 0.001). Moreover, ZIC5 expression showed a positive correlation with differentiation (p = 0.001) and tumor size (p = 0.016). Survival analysis suggested that high expression of ZIC5 predicted shorter OS (log rank test, p = 0.007). ZIC5 might be an independent prognostic biomarker for LC (hazard ratio = 2.892; 95% confidence interval, 1.297-6.449; p = 0.009). Conclusions: ZIC5 expression is upregulated in LC, and it may be employed as a prognostic biomarker for patients with LC.