PRACTICAL ONCOLOGY JOURNAL ›› 2017, Vol. 31 ›› Issue (5): 396-404.doi: 10.11904/j.issn.1002-3070.2017.05.003

• Clinical Research • Previous Articles     Next Articles

Clinicopathological features and survival analysis in 633 cases of gastric carcinoma

ZHANG Chunhui, LIU Xia, XU Jingjing, ZHOU Yanhua, ZHAO Juan, LI Zhiwei, ZHANG Yanqiao   

  1. Department of Gastrointestinal Oncology,Harbin Medical University Cancer Hospital,Harbin 150081,China
  • Received:2016-05-23 Online:2017-10-28 Published:2017-10-24

Abstract: Objective The objectives of this study were to compare the clinicopathological features of different Lauren type gastric cancer,to carry out survival analysis,and to screen the prognostic factors.Methods The clinical pathologic data of gastric cancer patients who underwent surgical treatment at the Affiliated Tumor Hospital of Harbin Medical University from January 1,2007 to June 30,2007 were retrospectively analyzed.The 633 cases of gastric cancer patients were divided into intestinal type gastric cancer and diffuse type of gastric cancer groups,which were analyzed clinical and pathological characteristics and survival.Results Compared with diffuse type of gastric cancer,the proportion of intestinal type gastric cancer was slightly high(51.66% vs. 48.34%), the proportion of male was also high(2.94:1 vs. 2.03:1,P=0.035).These could be more often in elderly patients age(≥60 years)(54.43% vs.35.94%,P<0.001).The prognosis of intestinal type gastric cancer was significantly better than diffuse gastric cancer(median survival time:90.9 months vs. 37.33 months,P=0.014).Multivariate analysis showed that age ≥60 years old,CA199 abnormalities,larger tumors,poor differentiation,serosal invasion,initial lymph node metastasis,palliative surgery and non-pyloric resection were poor prognostic factors in gastric cancer.Conclusion Lauren type can be better respond to the clinicopathological features of different gastric cancer and guide to the prognosis.

Key words: Gastric cancer, Lauren classification, Clinical pathology features, Survival analysis, Prognosis factor

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