上海交通大学学报（医学版）

上海交通大学学报（医学版）

• 论著（临床研究） • 上一篇    下一篇

原发性胃肠道间质瘤临床病理因素与预后的相关性分析

赵玲1，陈晓宇2，刘强1，沈艳莹1   

  1. 上海交通大学 医学院附属仁济医院 1.病理科， 2.消化科， 上海 200127
  • 出版日期:2016-03-28 发布日期:2017-06-02
  • 通讯作者: 陈晓宇, 电子信箱: 1621508481@qq.com。
  • 作者简介:赵玲（1989—）， 女， 住院医师， 硕士生; 电子信箱: 516790227@qq.com。

Analysis of correlation between clinicopathologic factors and prognosis of primary gastrointestinal stromal tumors

ZHAO Ling1, CHEN Xiao-yu2, LIU Qiang1, SHEN Yan-ying1   

  1. 1.Department of Pathology, 2.Department of Gastroenterology, Renji Hospital, Shanghai Jiao Tong University School of Medicine， Shanghai 200127, China
  • Online:2016-03-28 Published:2017-06-02

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摘要：

目的 分析原发性胃肠道间质瘤（GISTs）相关临床病理因素与预后的相关性。方法 分析166例原发性GISTs患者的临床病理资料。采用Kaplan-Meier法对患者无疾病进展生存期（PFS）进行比较，对影响患者预后的相关临床病理因素分别行单因素及多因素分析。结果 单因素分析结果显示，患者预后与肿瘤原发部位、直径、核分裂象、有无侵犯周围组织、有无坏死、NIH危险度、Ki-67指数有关；多因素分析结果显示，肿瘤直径、有无侵犯周围组织、有无坏死、NIH危险度、Ki-67指数是影响患者预后的独立因素。结论 GISTs预后判断可以结合经典NIH危险度分级、Ki-67指数及肿瘤手术时是否已侵犯周围组织。

关键词: 原发性胃肠道间质瘤, 无疾病进展生存期, 预后

Abstract:

Objective To analyze the correlation between clinicopathologic factors and prognosis of primary gastrointestinal stromal tumors (GISTs). Methods The clinicopathologic data of 166 patients with primary GISTs were analyzed. The progression-free survival (PFS) of patients was compared using KaplanMeier method. The clinicopathologic factors affecting the prognosis of patients were investigated by univariate and multivariate analysis. Results Univariate analysis revealed that the prognosis of patients was associated with primary location, tumor size, mitotic index, invasion of surrounding tissues, necrosis, NIH risk and Ki-67 index. Multivariate analysis indicated that tumor size, invasion of surrounding tissues, necrosis, NIH risk and Ki-67 index were independent factors affecting the prognosis of patients. Conclusion The prognosis of primary GISTs can be assessed by combining the classical NIH risk classification, Ki-67 index and invasion of surrounding tissues.

Key words: primary gastrointestinal stromal tumors;progressfree survival, prognosis