Gastric neuroendocrine neoplasms and related precursor lesions

Stefano La Rosa, Alessandro Vanoli

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Gastric neuroendocrine neoplasms (NENs) are a heterogeneous group of tumours showing different clinicopathological features and behaviour, implying a wide spectrum of therapeutic options. They are currently classified using the 2010 WHO classification of digestive neuroendocrine neoplasms into G1-neuroendocrine tumours (NETs), G2-NETs, neuroendocrine carcinomas (NECs) and mixed adenoneuroendocrine carcinomas (MANECs). However, most gastric NENs are composed of ECL-cells (ECL-cell NETs) that can be preceded by ECL-cell hyperplastic and dysplastic lesions, whose oncologic potential has not yet been completely elucidated. ECL-cell NETs differ considerably in terms of prognosis depending on the proliferative status and clinicopathological background. The integration of both aspects in the diagnostic pathway may help to better classify tumours in different prognostic categories, especially when diagnosing them in small bioptic specimens. NECs are all poorly differentiated, highly aggressive carcinomas, while MANECs can show different morphological features that are directly associated with different prognoses. Precursor lesions of such carcinomas are not entirely understood. In this review, the clinicopathological features of gastric NENs and related precursor lesions will be described to give the reader a comprehensive overview on this topic.

Original languageEnglish
Pages (from-to)938-948
Number of pages11
JournalJournal of Clinical Pathology
Volume67
Issue number11
DOIs
Publication statusPublished - Nov 1 2014

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Neuroendocrine Tumors
Enterochromaffin-like Cells
Stomach Neoplasms
Carcinoma
Neuroendocrine Carcinoma
Neoplasms
Therapeutics

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Medicine(all)

Cite this

Gastric neuroendocrine neoplasms and related precursor lesions. / La Rosa, Stefano; Vanoli, Alessandro.

In: Journal of Clinical Pathology, Vol. 67, No. 11, 01.11.2014, p. 938-948.

Research output: Contribution to journalArticle

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