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| Clinicopathological features and prognosis of patients with gastric stromal tumors |
| FANG Shixu1 LIN Bin1 WANG Feng1 LIU Tonglei2 ZHANG Tong2 LUO Huayou2 |
1.The First Clinical College of Kunming Medical University, Yunnan Province, Kunming 650032, China;
2.Department of Gastroenterology and Hernia Surgery, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, Kunming 650032, China |
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Abstract Objective To explore the clinicopathological features and prognostic factors of gastric stromal tumors further. Methods Clinical data, pathological characteristics and survival status of 108 patients with gastric stromal tumors admitted to the First Affiliated Hospital of Kunming Medical University from February 2009 to November 2012 were analyzed retrospectively. Survival analysis was used Kplan-Meier method to calculate 1, 3, 5-year survival rates. Log-rank test was used for univariate analysis and COX proportional hazards model was used for prognostic multivariate analysis. Results One hundred and eight patients were enrolled in the study. The male was 57 cases, the female was 51 cases, the age was (57.54±12.03) years, the operation time was (155.53±82.86) min, the intraoperative bleeding volume was (165.46±329.74) mL, the postoperative feeding time was (7.71±2.62) days, and the hospitalization days after operation were (11.80±7.54) days. The overall survival rates for 1, 3, 5 years were 100.0%, 91.6% and 76.3%. Univariate prognostic analysis showed that tumor size, mitotic numbe, modified NIH classification were closely related to prognosis of gastric stromal tumors (P < 0.05). Multivariate prognostic analysis showed that modified NIH risk classification (HR = 6.177, 95%CI: 1.348-28.299, P = 0.019) was an independent prognostic risk factor for patients with gastric stromal tumors. Conclusion Gastric stromal tumors are the most common digestive tract stromal tumors. The overall prognosis is good. Surgical resection is the main treatment. The modified NIH risk classification is the main risk factor affecting prognosis. The higher the risk, the worse the prognosis.
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