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Prognostic significance of neuroendocrine components in gastric carcinomas

Title
Prognostic significance of neuroendocrine components in gastric carcinomas
Author
김민규
Keywords
Gastric carcinoma; Neuroendocrine; Component; Proportion; Prognosis
Issue Date
2014-11
Publisher
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Citation
EUROPEAN JOURNAL OF CANCER, 권: 50, 호: 16, 페이지: 2802-2809
Abstract
Background: Gastric neuroendocrine carcinomas (NECs) and mixed adenoneuroendocrine carcinomas (MANECs) are aggressive tumours but the prognostic significance of a neuroendocrine component in <30% of the tumour remains unclear. Here, the implication of neuroendocrine components in gastric carcinomas was assessed according to proportion. Methods: Surgically resected primary gastric carcinomas with neuroendocrine morphology (NEM; n = 88) from 2000 to 2012 at Asan Medical Center were retrospectively reviewed. Neuroendocrine differentiation (NED) was defined as immunopositivity for one of three neuroendocrine markers (synaptophysin, chromogranin or CD56) within the NEM area. To validate the prognostic significance of NED, these cases were compared with 650 randomly selected gastric adenocarcinomas without NEM from the same time period. Results: Gastric carcinomas with NEM were reclassified as NEC (>= P70% NED, n = 47), MANEC (30-70% NED, n = 10), gastric carcinoma with 10-30% NED (GCNED, n = 8) and carcinoma with <10% NED (n = 23). The survival rates of patients with >= 10% NED were significantly poorer than those with <10% NED but no survival difference was observed between NEC and MANEC. In univariate analyses, older age (>= 60 years), larger tumour size (>= 4 cm), advanced stage group, >= 10% NED and lymphovascular or perineural invasion were indicative of a poor prognosis. Stage group and P10% NED remained as independent prognostic factors by multivariate analysis. Conclusions: A minor proportion (10-30%) of NED should not be overlooked in gastric carcinomas with NEM. NED should be carefully evaluated to predict patient outcomes and plan optimal additional therapies. (c) 2014 Elsevier Ltd. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0959804914008831http://hdl.handle.net/20.500.11754/51219
ISSN
0959-8049; 1879-0852
DOI
10.1016/j.ejca.2014.08.004
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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