SYPL1 overexpression predicts poor prognosis of hepatocellular carcinoma and associates with epithelial-mesenchymal transition

• Published in: Oncology reports Vol. 38; no. 3; pp. 1533 - 1542
• Main Authors: Chen, Dong-Han, Wu, Qiu-Wan, Li, Xiu-Dong, Wang, Shuang-Jia, Zhang, Zhi-Ming
• Format: Journal Article
• Language: English
• Published: Greece D.A. Spandidos 01.09.2017; Spandidos Publications UK Ltd
• Subjects: Age; Biomarkers, Tumor - genetics; Carcinoma, Hepatocellular - genetics; Carcinoma, Hepatocellular - pathology; Disease-Free Survival; epithelial-mesenchymal transition; Epithelial-Mesenchymal Transition - genetics; Ethics; Female; Females; Gene Expression Regulation, Neoplastic - genetics; hepatocellular carcinoma; Humans; Kaplan-Meier Estimate; Liver cancer; Liver cirrhosis; Liver Neoplasms - genetics; Liver Neoplasms - pathology; Male; Medical prognosis; Metastasis; Middle Aged; Neoplasm Recurrence, Local - genetics; Neoplasm Recurrence, Local - pathology; Neoplasm Staging - methods; Patients; Polymerase chain reaction; Prognosis; Proportional Hazards Models; Proteins; Software; Synaptophysin - genetics; Synaptophysin-like 1; Up-Regulation - genetics; China
• ISSN: 1021-335X; 1791-2431
• DOI: 10.3892/or.2017.5843

Hepatocellular carcinoma (HCC) is the second leading cause of cancer mortality worldwide, which is mainly due to relapse and metastasis. Synaptophysin-like 1 (SYPL1), a member of SYP family proteins, exerts complicated functions, which prompted us to wonder whether SYPL1 contributed to HCC progress. Herein, we performed integrative experiments of quantitative real-time polymerase chain reaction (qRT-PCR), western blot analysis and immunohistochemistry (IHC), and found that SYPL1 overexpression in HCC tissues was closely correlated with several malignant clinicopathologic features of HCC. The results from IHC in serial sections of HCC tissues further indicated that SYPL1 expression was associated with epithelial-mesenchymal transition (EMT) biomarkers of HCC cells. Additionally, Kaplan-Meier survival analysis showed that SYPL1 overexpression was significantly associated with reduced overall survival (OS) (P<0.001) and disease-free survival (DFS) (P=0.002). Furthermore, univariate and multivariate Cox proportional hazards analysis identified SYPL1 as an independent prognostic factor for OS [hazard ratio (HR), 2.443, 95% confidence interval (CI), 1.429-4.177, P=0.001] and DFS (HR, 1.680, 95% CI=1.012-2.788, P=0.045) of HCC patients. Collectively, SYPL1 overexpression predicts poor prognosis of HCC and may associate with EMT of HCC cells. Therefore, SYPL1 could serve as a future novel biomarker and potential therapy target for HCC.