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结直肠间质瘤临床病理特征及预后分析
引用本文:王文鹏,王捷夫,胡均,王俊锋,刘嘉,孔大陆,李健.结直肠间质瘤临床病理特征及预后分析[J].北京大学学报(医学版),2000,52(2):353-361.
作者姓名:王文鹏  王捷夫  胡均  王俊锋  刘嘉  孔大陆  李健
作者单位:大连医科大学附属第一医院放射科, 辽宁大连 116011
北京大学医学部医学技术研究院, 北京 100191
基金项目:国家自然科学基金(81101870);国家临床重点专科建设项目(2013-544);天津市卫生健康委员会重点项目(16kg127)
摘    要:目的 探究结直肠间质瘤预后相关因素,并通过列线图预测该肿瘤生存概率,为指导临床评估预后提供依据.方法: 通过监测流行病学和最终结果(surveillance, epidemiology, and end results, SEER)数据库获取1992年1月至2015年12月结直肠间质瘤临床病理及预后相关资料,对入组患者进行生存分析,将分析得到的独立预后因素绘制成列线图,之后采用校准曲线评估列线图预测生存准确性.结果: 546例结直肠间质瘤患者被纳入研究.中位发病年龄64岁,区域淋巴结转移率9.4%.546例患者多因素生存分析显示发病年龄 > 64岁,未婚/离婚,结肠间质瘤(与直肠间质瘤相比),非手术治疗,组织分化级别高,区域淋巴结转移及远处转移具有更差的肿瘤特异性生存和总生存(P均<0.05), 美国东部地区诊治患者比西部地区患者具有更长的总生存时间(P = 0.027),以上独立预后因素预测肿瘤特异性生存率和总生存率的C指数分别为0.76(95%CI: 0.72-0.80)和0.75(95%CI: 0.72-0.78).在174例组织分化级别和肿瘤部位明确的患者中,影响肿瘤特异性生存和总生存的独立预后因素为年龄,组织分化级别和是否行手术治疗(P均<0.05),而肿瘤部位仅与肿瘤特异性生存显著相关(P = 0.041),未证实与总生存显著相关(P = 0.057),采用这4个预后影响因素预测546例患者肿瘤特异性生存率和总生存率的C指数分别是0.71(95%CI: 0.66-0.75)和0.73(95%CI: 0.70-0.77), 能较准确预测结直肠间质瘤患者总生存率.结论: 结直肠间质瘤预后受多个临床病理因素影响,列线图能为预测结直肠间质瘤患者生存率提供依据.

关 键 词:结直肠间质瘤  临床病理特征  预后  列线图  
收稿时间:2019-11-18

Clinicopathological features and prognosis of colorectal stromal tumor
Wen-peng WANG,Jie-fu WANG,Jun HU,Jun-feng WANG,Jia LIU,Da-lu KONG,Jian LI.Clinicopathological features and prognosis of colorectal stromal tumor[J].Journal of Peking University:Health Sciences,2000,52(2):353-361.
Authors:Wen-peng WANG  Jie-fu WANG  Jun HU  Jun-feng WANG  Jia LIU  Da-lu KONG  Jian LI
Institution:Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
Abstract:Objective: The incidence of colorectal stromal tumor is low among digestive tract tumors, therefore the literatures about clinicopathological features and prognosis of colorectal stromal tumor are few at home and abroad. In this study, we performed survival analyses for colorectal stromal tumor. The nomogram made by prognostic factors provided basis for evaluation of prognosis.Methods: The clinico-pathological and prognostic data of colorectal stromal tumor between January 1992 and December 2015 were collected from the surveillance, epidemiology, and end results (SEER) database. The survival analyses were made by SPSS 24.0 software. The nomogram and calibration curve were made by RMS package in R 3.5.2 software.Results: In the study, 546 patients with colorectal stromal tumor were included. The median age of onset was 64 years. The regional lymph node metastasis (LNM) rate was 9.4%. The multivariate Cox regression analyses of the 546 cases showed that the older age of onset (>64 years), single or divorce, colon tumor (compared with rectal tumor), non-surgery, high histological grade, LNM and distant metastasis were associated with worse cancer specific survival (CSS) and overall survival (OS), P < 0.05 for all. The treatment district was independent prognostic factor of OS (P = 0.027). The C-index of independent prognostic factors predicting CSS and OS probability were 0.76 (95%CI: 0.72-0.80) and 0.75 (95%CI: 0.72-0.78), respectively. Multivariate analyses were further carried out in the 174 patients with definite histological grade and tumor location, which revealed that the age of onset, histological grade, surgery or not were independent prognostic factors of CSS and OS (P < 0.05 for all). Tumor location was associated with CSS (P = 0.041) but not OS (P = 0.057) among the 174 cases. Four independent prognostic factors influencing the 174 patients' prognosis were used to make nomogram for predicting survival probability of 546 cases. The C-index of four prognostic factors predicting probability of CSS and OS of the 546 cases were separately 0.71 (95%CI: 0.66-0.75) and 0.73 (95%CI: 0.70-0.77). The nomogram had more accuracy for predicting OS probability of colorectal stromal tumors.Conclusion: The prognosis of colorectal stromal tumor was affected by multiple clinicopathological factors. The nomogram provided the basis for predicting the survival probability of patients with colorectal stromal tumor.
Keywords:Colorectal stromal tumor  Clinicopathological features  Prognosis  Nomogram  
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