Early gastric cancer with a mixed-type Lauren classification is more aggressive and exhibits greater lymph node metastasis.

Published

Journal Article

BACKGROUND: The clinicopathological features of mixed-type (MT) early gastric cancer (EGC) according to Lauren's classification remain uninvestigated. This study aimed to clarify the clinicopathological features of MT EGC, particularly in relation to lymph node metastasis (LNM) and long-term survival. METHODS: This study included 5309 patients who underwent gastrectomy for EGC. The clinicopathological features, LNM, and long-term outcomes of patients with MT carcinomas were compared with those of patients with intestinal-type (IT) and diffuse-type (DT) cancers. Furthermore, we evaluated the predictors of LNM in each Lauren classification subgroup. RESULTS: Patients with MT carcinomas were likelier to have larger tumors, submucosal invasion, lymphovascular invasion, and LNM than those with IT or DT carcinomas. Multivariate logistic regression analysis revealed that the Lauren classification was a significant predictor of LNM (P < 0.001). The significant predictors of LNM in MT carcinomas were female sex, greater tumor size, presence of submucosal invasion, and lymphovascular invasion. However, the overall survival of patients with MT carcinoma was not significantly different from that of patients with IT or DT carcinomas (P = 0.104). CONCLUSIONS: The presence of MT EGC carries a higher risk of LNM compared with the presence of IT or DT carcinomas. Therefore, MT carcinomas should be managed with gastrectomy that includes lymph node dissection instead of endoscopic resection.

Full Text

Duke Authors

Cited Authors

  • Pyo, JH; Lee, H; Min, B-H; Lee, JH; Choi, MG; Lee, JH; Sohn, TS; Bae, JM; Kim, K-M; Yeon, S; Jung, S-H; Kim, JJ; Kim, S

Published Date

  • May 2017

Published In

Volume / Issue

  • 52 / 5

Start / End Page

  • 594 - 601

PubMed ID

  • 27590416

Pubmed Central ID

  • 27590416

Electronic International Standard Serial Number (EISSN)

  • 1435-5922

Digital Object Identifier (DOI)

  • 10.1007/s00535-016-1254-5

Language

  • eng

Conference Location

  • Japan