标题:WNT10A/beta-catenin pathway in tumorigenesis of papillary thyroid carcinoma
作者:Dong, Tianyi; Zhang, Zhun; Zhou, Wenhong; Zhou, Xiangyu; Geng, Chong; Chang, Lap Kam; Tian, Xingsong; Liu, Shili
作者机构:[Dong, Tianyi; Zhou, Xiangyu; Chang, Lap Kam; Liu, Shili] Shandong Univ, Sch Med, Jinan 250012, Shandong, Peoples R China.; [Zhang, Zhun; Geng, Chon 更多
通讯作者:Tian, XS;Liu, SL
通讯作者地址:[Tian, XS]Shandong Univ, Shandong Prov Hosp, Dept Breast Thyroid Surg, Jinan, Shandong, Peoples R China;[Liu, SL]Shandong Univ, Sch Med, Dept Med Micr 更多
来源:ONCOLOGY REPORTS
出版年:2017
卷:38
期:2
页码:1287-1294
DOI:10.3892/or.2017.5777
关键词:papillary thyroid carcinoma; WNT10A; beta-catenin; late apoptosis
摘要:Papillary thyroid carcinoma is the most common thyroid cancer and the incidence is increasing. Aberrant activation of the WNT/beta-catenin pathway plays an important role in carcinogenesis. In the present study, microarray analysis was employed to compare tissues from papillary thyroid cancer and adjacent normal tissues to determine candidate genes facilitating tumor invasion. The result demonstrated that genes involved in WNT/beta-catenin signaling pathway were activated in papillary thyroid cancer, WNT10A expression was found to be upregulated >4-fold. The variations in gene expression were verified in tissues obtained from other papillary thyroid cancer patients. Molecular mechanism exploration in thyroid cells showed that enhanced WNT10A/beta-catenin signaling pathway activation promoted cell proliferation and migration. The promotion was validated by RNA interference of WNT10A and LEF1 expression. Moreover, results from flow cytometry demonstrated that WNT/beta-catenin signaling pathway activation reduced the percentage of late apoptotic thyroid cells. Conclusively, the results suggest for the first time that WNT10A/beta-catenin signaling pathway plays a crucial role in human papillary thyroid cancer.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022027377&doi=10.3892%2for.2017.5777&partnerID=40&md5=c5cf7e1fa60e5d323153c35b98a90fdc
TOP