Korean J Helicobacter  Up Gastrointest Res Search


Korean J Helicobacter  Up Gastrointest Res > Volume 14(2); 2014 > Article
The Korean Journal of Helicobacter  and Upper Gastrointestinal Research 2014;14(2):121-125.
DOI: https://doi.org/10.7704/kjhugr.2014.14.2.121    Published online June 10, 2014.
A Rare Case of Gastric Carcinosarcoma with Neuroendocrine Differentiation
Hae Jin Shin, Jong Seok Ju, Hee Seok Moon, Sun Hyung Kang, Jae Kyu Sung, Hyun Yong Jeong, Kyu Sang Song
1Department of Internal Medicine, Chungnam National University Hospital, Daejeon, Korea. mhs1357@cnuh.co.kr
2Department of Pathology, Chungnam National University Hospital, Daejeon, Korea.
Carcinosarcoma of the stomach is a rare biphasic tumor that consists of both carcinomatous and sarcomatous components. In the gastrointestinal tract, carcinosarcoma is most frequently seen in the esophagus and rarely in the stomach. Tubular or papillary adenocarcinomas are common carcinomatous components, whereas mesenchymal sarcomatous components may vary. Neuroendocrine carcinomatous differentiation in carcinomatous components is extremely rare. We report a 62-year-old female patient with a history of dyspepsia for one-month-history. Endoscopic findings showed a ulcerofungating lesion, which infiltrated from the posterior wall of the antrum to the posterior wall of the gastric angle. Radical subtotal gastrectomy was performed. In the resected specimen, immunohistochemical studies showed two positive reactions for epithelial and mesenchymal markers. Based on the above findings, the patient was diagnosed with a gastric carcinosarcoma with neuroendocrine differentiation.
Key Words: Carcinosarcoma; Stomach; Neuroendocrine differentiation factor, human; Immunohistochemistry

Editorial Office
Lotte Gold Rose II Room 917, 31 Seolleung-ro 86-gil, Gangnam-gu, Seoul 06193, Korea
Tel: +82-2-717-5543    Fax: +82-2-565-9947    E-mail: helicojournal@smileml.com                

Copyright © 2024 by Korean College of Helicobacter and Upper Gastrointestinal Research.

Developed in M2PI

Close layer
prev next