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Mixed adeno(neuro)endocrine carcinoma arising from the ectopic gastric mucosa of the upper thoracic esophagus

Overview of attention for article published in World Journal of Surgical Oncology, September 2013
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Title
Mixed adeno(neuro)endocrine carcinoma arising from the ectopic gastric mucosa of the upper thoracic esophagus
Published in
World Journal of Surgical Oncology, September 2013
DOI 10.1186/1477-7819-11-218
Pubmed ID
Authors

Toshihiro Kitajima, Sachiko Kaida, Seigi Lee, Shusuke Haruta, Hisashi Shinohara, Masaki Ueno, Koichi Suyama, Yasunori Oota, Takeshi Fujii, Harushi Udagawa

Abstract

We report a case of mixed adenoendocrine carcinoma of the upper thoracic esophagus arising from ectopic gastric mucosa. A 64-year-old man who had been diagnosed with an esophageal tumor on the basis of esophagoscopy was referred to our hospital. Upper gastrointestinal endoscopy revealed the presence of ectopic gastric mucosa and an adjacent pedunculated lesion located on the posterior wall of the upper thoracic esophagus. Subtotal esophagectomy with three-field lymph node dissection was performed. A microscopic examination revealed that there was a partially intermingling component of neuroendocrine carcinoma adjacent to a tubular adenocarcinoma which was conterminous with the area of the ectopic gastric mucosa. Although the tubular adenocarcinoma was confined to the mucosa and submucosa, the neuroendocrine carcinoma had invaded the submucosaand there was vascular permeation. Each component accounted for 30% or more of the tumor, so the final histopathological diagnosis was mixed adenoendocrine carcinoma of the upper thoracic esophagus arising from ectopic gastric mucosa. Adjuvant chemotherapy was not performed, because the postoperative tumor stage was IA. The patient was well and had no evidence of recurrence 16 months after surgery.

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Postgraduate 3 16%
Student > Bachelor 2 11%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 3 16%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 13 68%
Computer Science 1 5%
Engineering 1 5%
Unknown 4 21%