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Clinicopathological features and lymph node metastasis risk in early gastric cancer with WHO criteria in China: 304 cases analysis

Authors :
Jie Cao
Hong‑Bin Liu
Qi-chang Yang
Yan Zhu
Xiao‑Juan Zhang
Hongjie Song
Siwen Feng
Hongwei Zheng
Source :
Annals of diagnostic pathology. 50
Publication Year :
2020

Abstract

The aim of this research was to identify the clinicopathological characteristics of early gastric cancer (EGC) based on the WHO criteria, and to analyze predictors for lymph node metastasis (LNM) in EGC in a Chinese study population.We retrospectively collected data of 304 Chinese EGC patients, including 265 patients undergoing radical gastrectomy and 39 patients undergoing endoscopic resection. Histological features were accessed by three experienced pathologists. Univariate analysis and multivariate analysis were used to identify the correlation between clinicopathological features and LNM.Among the 304 cases with EGC, the rate of well differentiated tubular adenocarcinoma was 11.2%, significantly lower than that of Japanese and South Korean, which was 24.8% and 19.9% respectively (p0.001 and p = 0.006), but similar to that of a Western result, which was 11.9% (p = 0.860). Among the 265 patients who underwent gastrectomy, 18.5% of the patients had LNM. Univariate analysis showed that macroscopic type, differentiation degree, invasion depth, infiltration pattern (INF), lymphovascular invasion and ulceration were related to LNM. Multivariate analysis revealed that lymphovascular invasion (p 0.001, OR = 6.549), ulceration (p = 0.035, OR = 2.527) and INF c (p = 0.042, OR = 3.424) were the independent risk factors of LNM in EGC.The pathological diagnosis standard of well differentiated tubular adenocarcinoma in China significantly differs from that in Japan and South Korea, but is similar to western countries. LNM is more likely to occur in EGCs with lymphovascular invasion, ulceration and INF c.

Details

ISSN :
15328198
Volume :
50
Database :
OpenAIRE
Journal :
Annals of diagnostic pathology
Accession number :
edsair.doi.dedup.....673276b0572a289e5a6705afc3edd0bc