High expression of GPER1, EGFR and CXCR1 is associated with lymph node metastasis in papillary thyroid carcinoma

GPER1、EGFR、CXCR1高表达与甲状腺乳头状癌淋巴结转移相关

阅读:7
作者:Cui Tang, Lei Yang, Ni Wang, Li Li, Man Xu, George G Chen, Zhi-Min Liu

Abstract

Clinical and epidemiological studies have shown that estrogen may be involved in the development and progression of papillary thyroid carcinoma (PTC). G protein-coupled estrogen receptor 1 (GPER1) is a novel seven-transmembrane estrogen receptor that functions alongside traditional nuclear estrogen receptors (ERs) to regulate the cellular responses to estrogen. The purpose of this study was to examine GPER1, EGFR and CXCR1 expression in PTC and to assess the association of their expression with clinicopathological indicators. GPER1, EGFR and CXCR1 protein expression in 129 PTCs, 61 nodular hyperplasia and 118 normal thyroid tissue specimens were analyzed using immunohistochemistry. The protein expression levels of these three molecules were up-regulated in PTCs. High protein expression of GPER1, EGFR and CXCR1 was significantly correlated with lymph node metastasis (LNM) (P ≤ 0.001). Furthermore, GPER1, EGFR and CXCR1 protein expression were correlated with one another. Concomitant high expression of these molecules had stronger correlation with LNM than did each alone (P = 0.002 for GPER1/EGFR, P = 0.013 for GPER1/CXCR1, P = 0.018 for EGFR/CXCR1 and P < 0.001 for GPER1/EGFR/CXCR1). Additionally, GPER1, EGFR and CXCR1 mRNA expression was assessed in 30 PTCs, 10 nodular hyperplasia and 10 normal thyroid tissue specimens using real-time RT-PCR. GPER1, EGFR and CXCR1 mRNA expression levels were up-regulated in PTCs, and high mRNA expression of GPER1, EGFR and CXCR1 was significantly correlated with LNM (P < 0.001 for all these three molecules). These results demonstrated that the evaluation of GPER1, EGFR and CXCR1 expression in PTC may be useful in predicting the risk of LNM.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。