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A novel tumor suppressor gene NCOA5 is correlated with progression in papillary thyroid carcinoma

Overview of attention for article published in OncoTargets and therapy, January 2018
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Title
A novel tumor suppressor gene NCOA5 is correlated with progression in papillary thyroid carcinoma
Published in
OncoTargets and therapy, January 2018
DOI 10.2147/ott.s154158
Pubmed ID
Authors

Zhou-Ci Zheng, Qing-Xuan Wang, Wei Zhang, Xiao-Hua Zhang, Du-Ping Huang

Abstract

In contrast to the excellent prognosis for papillary thyroid carcinoma (PTC), the high incidence of lymph node metastasis (LNM) markedly increases the risk of recurrence and secondary surgery. Thus, novel biomarkers must be urgently identified to assess LNM for patients with PTC. NCOA5 is deeply involved in the progression of human cancer; however, its role in thyroid cancer remains unknown. Quantitative real-time polymerase chain reaction was conducted to investigate the expression of NCOA5 in PTC. RNA-seq data from The Cancer Genome Atlas (TCGA) database were downloaded to further understand the role of NCOA5 in PTC and its relationship with LNM. NCOA5 was significantly downregulated in PTC tissues when compared with that in adjacent noncancerous thyroid tissues both in our local cohort and TCGA database. Reduced expression of NCOA5 was significantly associated with aggressive clinicopathological features, including histological type, tumor stage, BRAF-V600E mutation, LNM, extrathyroid extension, and clinical stage. Moreover, logistic analysis indicated that reduced expression of NCOA5, age, histological type, and clinical stage are independent high-risk factors for LNM in PTC. Our study provides new insights and evidence that NOCA5 was significantly correlated with the progression of PTC and was particularly involved in LNM.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Agricultural and Biological Sciences 1 14%
Psychology 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%