Expression of Sex Determining Region Y-Box 2 and Pancreatic and Duodenal Homeobox 1 in Pancreatic Neuroendocrine Tumors. Issue 4 (April 2016)

• Record Type: Journal Article
• Authors: Akiyama, Takahiro; Shida, Takashi; Yoshitomi, Hideyuki; Takano, Shigetsugu; Kagawa, Shingo; Shimizu, Hiroaki; Ohtsuka, Masayuki; Kato, Atsushi; Furukawa, Katsunori; Miyazaki, Masaru
• Is Part Of: Pancreas. Volume 45:Issue 4(2016)
• Publication Date: 2016-04
• Subjects: Pancreatic neuroendocrine tumors -- SOX2 -- Pdx1 -- immunohistochemistry; Pancreas -- Diseases -- Periodicals; Pancreas -- Periodicals; Neuroendocrine tumors -- Periodicals; 616.37005
• DOI: 10.1097/MPA.0000000000000504
• Languages: English
• ISSNs: 0885-3177

Abstract

Abstract : Objective: The World Health Organization 2010 classification divides pancreatic neuroendocrine tumors (p-NETs) entity to well-differentiated neuroendocrine tumors (NET) and poorly differentiated neuroendocrine carcinomas (NEC) by Ki-67 index. The aim of this study is elucidate the pathophysiology and tumor biology of p-NETs. Methods: We assessed the expression of transcription factors sex determining region Y-box 2 (SOX2) and pancreatic and duodenal homeobox 1 (Pdx1)) essential for the normal fetal development of pancreatic neuroendocrine cells in 46 surgically resected p-NETs by immunohistochemistry. The relationship of expression levels of these factors and clinicopathological factors were analyzed. Results: SOX2 was positive in 6 p-NETs (13.0%). Five of 7 NEC patients showed positive for SOX2. SOX2 was highly (sensitivity 71%) and specifically (specificity 97%) expressed in NEC. Patients with SOX2 positive p-NET showed the significantly shorter disease-free and overall survival than patients with SOX2 negative p-NET. High Pdx1 expression was seen in 25 p-NET patients (54.3%). None of the NEC patients showed high Pdx1 expression. There was a significant reverse correlation between SOX2 and Pdx1 expression. Conclusions: The expression patterns of SOX2 and Pdx1 highly correlated with prognosis of p-NETs. These expression patterns may represent the biological and pathophysiological difference of p-NETs and indicate the origin of tumor.