Abstract | BACKGROUND/AIMS: There are differing histologic subtypes of gastric cancer. We investigated the clinicopathological features and prognosis of: signet ring cell (SRC), mucinous (MGC), papillary (PGC), and lymphoepithelioma-like (LELC) carcinoma in advanced gastric cancer. METHODOLOGY: One hundred thirty six advanced gastric cancer patients, including 62 SRCs, 43 MGCs, 9 PGCs, and 22 LELCs, who underwent R0 gastrectomy between 2002 and 2013, were retrospectively evaluated. RESULTS: There were significant differences in several clinicopathological features. There were found to be statistical differences in postoperative outcomes in the type of gastrectomy and type of anastomosis (p<0.001 and p<0.001, respectively). In terms of overall survival analysis, there was no statistical survival difference among the subtypes of advanced gastric cancer (p=0.088). However, LELC had a better prognosis than the other groups. CONCLUSIONS: There were some differences in several of the clinicopathological features of the subtypes advanced gastric cancer. Although there were no statistical differences in survival, those with LELC showed a better prognosis than did the other groups. Therefore, the treatment of advanced gastric cancer should be individualized, and prognosis considered, according to the subtype.
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Authors | Ki-Han Kim, Min-Chan Kim, Ghap-Joong Jung, Su-Jin Kim |
Journal | Hepato-gastroenterology
(Hepatogastroenterology)
Vol. 61
Issue 135
Pg. 2149-55
(Oct 2014)
ISSN: 0172-6390 [Print] Greece |
PMID | 25713922
(Publication Type: Comparative Study, Journal Article, Research Support, Non-U.S. Gov't)
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Topics |
- Adult
- Aged
- Anastomosis, Surgical
- Carcinoma, Papillary
(pathology, secondary, surgery)
- Carcinoma, Signet Ring Cell
(pathology, secondary, surgery)
- Female
- Gastrectomy
- Humans
- Lymphoma
(pathology, surgery)
- Male
- Middle Aged
- Neoplasm Recurrence, Local
- Neoplasms, Cystic, Mucinous, and Serous
(pathology, secondary, surgery)
- Retrospective Studies
- Stomach Neoplasms
(pathology, surgery)
- Survival Analysis
- Time Factors
- Treatment Outcome
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