Retrospective study of the clinicopathological characteristics and prognostic factors of gastrointestinal stromal tumors in Chinese patients

川东北117 医学 单变量分析 单变量 有丝分裂指数 内科学 多元分析 比例危险模型 回顾性队列研究 生存分析 肿瘤科 病理 川地34 胃肠病学 多元统计 生物 有丝分裂 遗传学 统计 数学 干细胞 细胞生物学
作者
Xiangchen Hu,Qiqi Zhang,Zhe Wang,Haiyue Ren,Peng Su,Youwei Kou
出处
期刊:Annals of Diagnostic Pathology [Elsevier BV]
卷期号:61: 152050-152050 被引量:1
标识
DOI:10.1016/j.anndiagpath.2022.152050
摘要

The purpose of this study was to investigate the clinicopathological characteristics and prognostic factors of patients with gastrointestinal stromal tumors (GISTs) in mainland China. We retrospectively analyzed the clinicopathological characteristics and survival data of 149 patients with GISTs admitted to Shengjing Hospital of China Medical University from July 2011 to October 2017. The following details were collected from all patients: sex, age, symptoms, preoperative examination, pathology, surgical procedures, and follow-up data. Recurrence-free survival (RFS) and overall survival (OS) were used to assess survival outcomes. The Kaplan-Meier method was performed to draw survival curves and calculate the survival rate. The log-rank test was performed for univariate analysis, and the significant factors were included in multivariate analysis using a Cox proportional hazards model to determine prognostic factors. The 5-year RFS rate was 78.5 % and 5-year OS rate was 83.2 %. The univariate analysis showed that the following prognostic factors could significantly predict 5-year RFS and OS: tumor size, initial status, modified NIH classification, mitotic index, CD117 expression, Ki67 index, and surgical procedure (P < 0.05). The multivariate analysis showed that mitotic index, CD117, and Ki67 index were independent prognostic factors associated with 5-year RFS and 5-year OS. This study provides a reference for the clinicopathological characteristics and prognostic factors of patients with GISTs in mainland China, and the results suggest that focusing on immunohistochemical markers in clinical practice may be more reliable for the prediction of clinical outcomes.
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