Research Papers:
Abnormal amphiregulin expression correlates with gastric cancer prognosis
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Abstract
Bing Wang1,2, Hongmei Yong3, Huijun Zhu4, Daguang Ni1, Sijie Tang1, Shu Zhang4, Wei Wang4, Yan Zhou2, Wei Zhao5, Guipeng Ding5, Jin Zhu6, Xiaohua Li1,7,8, Zhenqing Feng2,5,9,10
1Center for Pathology and Laboratory Medicine, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
2Department of Oncology, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
3Department of Oncology, Huai’an Hospital Affiliated of Xuzhou Medical College and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
4Department of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
5Department of Pathology, Nanjing Medical University, Nanjing, China
6Huadong Medical Institute of Biotechniques, Nanjing, China
7School of Medicine, Jiangsu University, Jiangsu, China
8The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
9Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
10Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
Correspondence to:
Xiaohua Li, email: [email protected]
Zhenqing Feng, email: [email protected]
Keywords: gastric cancer, amphiregulin, prognosis
Received: April 05, 2016 Accepted: September 27, 2016 Published: October 04, 2016
ABSTRACT
Gastric cancer (GC) is a global health issue with a high mortality rate. Early diagnosis and tracking of GC is a challenge due to a lack of reliable tools. Amphiregulin (AREG) is a member of the epidermal growth factor (EGF) family that activates growth signaling upon binding of EGF receptors. Elevated AREG expression is associated with various pathological conditions, including cancer. Here, we investigated whether increased AREG expression is a disease indicator and/or prognostic biomarker for GC. We used tissue microarray and quantitative real-time polymerase chain reaction to assess AREG expression in clinical tissue specimens at various stages of GC and a conducted bioinformatics analysis to evaluate the value of AREG over-expression as a GC biomarker. We found that both mRNA and protein expression of AREG were increased in the tissues of GC patients when compared to tissues from non-cancer patients or normal tissues. High expression of AREG was also associated with GC clinicopathological characteristics and poor survival. Thus, over-expression of AREG could serve as a novel GC biomarker, and active surveillance of its expression could be a novel approach to GC diagnosis and monitoring.
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