Significance of aquaporins' expression in the prognosis of gastric cancer

• Published in: Bioscience reports Vol. 38; no. 3
• Main Authors: Thapa, Saroj, Chetry, Mandika, Huang, Kaiyu, Peng, Yangpei, Wang, Jinsheng, Wang, Jiaoni, Zhou, Yingying, Shen, Yigen, Xue, Yangjing, Ji, Kangting
• Format: Journal Article
• Language: English
• Published: England Portland Press Ltd 29.06.2018
• Subjects: Aquaporins - classification; Aquaporins - genetics; Aquaporins - metabolism; Atlases as Topic; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Carcinoma - diagnosis; Carcinoma - genetics; Carcinoma - mortality; Carcinoma - pathology; Cell Line, Tumor; Databases, Genetic; Female; Gene Expression Regulation, Neoplastic; Humans; Male; Neoplasm Staging; Prognosis; Receptor, ErbB-2 - genetics; Receptor, ErbB-2 - metabolism; RNA, Messenger - genetics; RNA, Messenger - metabolism; Stomach Neoplasms - diagnosis; Stomach Neoplasms - genetics; Stomach Neoplasms - mortality; Stomach Neoplasms - pathology; Survival Analysis; gastric cancer; KM plotter; AQPs; prognosis; Aquaporins
• ISSN: 0144-8463; 1573-4935
• DOI: 10.1042/BSR20171687

Gastric carcinoma is one of the most lethal malignancy at present with leading cause of cancer-related deaths worldwide. Aquaporins (AQPs) are a family of small, integral membrane proteins, which have been evidenced to play a crucial role in cell migration and proliferation of different cancer cells including gastric cancers. However, the aberrant expression of specific AQPs and its correlation to detect predictive and prognostic significance in gastric cancer remains elusive. In the present study, we comprehensively explored immunohistochemistry based map of protein expression profiles in normal tissues, cancer and cell lines from publicly available Human Protein Atlas (HPA) database. Moreover, to improve our understanding of general gastric biology and guide to find novel predictive prognostic gastric cancer biomarker, we also retrieved 'The Kaplan-Meier plotter' (KM plotter) online database with specific mRNA to overall survival (OS) in different clinicopathological features. We revealed that ubiquitous expression of AQPs protein can be effective tools to generate gastric cancer biomarker. Furthermore, high level , and mRNA expression were correlated with better OS in all gastric patients, whereas , and mRNA expression were associated with poor OS. With regard to the clinicopathological features including Laurens classification, clinical stage, human epidermal growth factor receptor 2 (HER2) status, and different treatment strategy, we could illustrate significant role of individual mRNA expression in the prognosis of gastric cancer patients. Thus, our results indicated that AQP's protein and mRNA expression in gastric cancer patients provide effective role to predict prognosis and act as an essential agent to therapeutic strategy.