实用医学杂志 ›› 2021, Vol. 37 ›› Issue (10): 1351-1356.doi: 10.3969/j.issn.1006⁃5725.2021.10.024

• 调查研究 • 上一篇    下一篇

左右半结肠黏液腺癌术后患者生存特征分析:一项基于SEER数据库的研究

黄庆,邹旻红,李旺林,曹杰   

  1. 广州市第一人民医院(华南理工大学附属第二医院)1 综合外科,3 胃肠外科(广州510180); 2 中山大学附属第三医院超声科(广州510120

  • 出版日期:2021-05-25 发布日期:2021-05-25
  • 通讯作者: 曹杰 E⁃mail::czhongt@126.com
  • 基金资助:
    国家自然科学基金(编号:81871943);广东省自然科学基金(编号:2017A030311035);广东省医学科研基金(编号:A2019526 

 Survival differences of postoperative patients with left⁃side and right⁃side colonic mucinous adenocarcino⁃ ma:a study based on SEER database 

HUANG Qing,ZOU Minhong,LI Wanglin,CAO Jie.    

  1. Department of General Surgery,Guangzhou First People′ s Hospital,the Second Affiliated Hospital of South China University of Technology,Guangzhou 510180,China 

  • Online:2021-05-25 Published:2021-05-25
  • Contact: CAO Jie E⁃mail:czhongt@126.com

摘要:

目的 探讨左右半结肠黏液腺癌(MA)术后患者的生存特征差异和预后因素。方法 收集 监测、流行病学、最终结果(SEER)数据库中 2006-2015 年结肠黏液腺癌术后患者总共 13 594 例患者,分 为两组:右半结肠黏液腺癌组(n = 9 824)和左半结肠黏液腺癌组(n = 3 770),使用 Kaplan⁃Meier 分析 两组总生存期(OS),按分期、分化程度分层对比分析 OS;多因素 Cox 分析左右半结肠黏液腺癌术后患 者的预后影响因素。结果 左右半结肠黏液腺癌术后患者各肿瘤特征中存在明显差异。左右半结肠黏液腺癌的 5 年生存率分别是 51.6% 55.0%,生存分析两组差异无统计学意义(P = 0.234)。分层分析显 示在 AJCC 分期Ⅰ期(P = 0.203)、Ⅱ期(P = 0.156)、Ⅲ期(P = 0.08)、高分化(P = 0.091)、中分化(P = 0.252 和未分化(P = 0.946)的左右半结肠黏液腺癌的OS对比差异无统计学意义。Ⅳ期左半结肠黏液腺癌的OS 要优于右半结肠黏液腺癌(P < 0.001);而低分化的右半结肠黏液腺癌的 OS 要优于左半结肠黏液腺癌 P = 0.001)。多因素 Cox 分析显示,男性、年龄≥ 60 岁、单身或未婚、丧偶、T3、T4、N1、N2、M1、低分化、未 分化、淋巴结获取数量<12、CEA 阳性和无化疗分别是左右半结肠黏液腺癌术后患者预后的危险因素,中分化是左半结肠黏液腺癌术后患者预后的危险因素。结论 不同分化程度和分期的左右半结肠黏液腺癌术后患者表现出不完全一致的生存差异。左右半结肠黏液腺癌术后患者预后的危险因素也不完 全一致。

关键词:

左右半结肠癌, 黏液腺癌, 分期, 分化, 预后, SEER 数据库

Abstract:

Objective To investigate the differences in survival characteristics and prognostic factors of postoperative patients with left⁃side and right⁃side colonic mucinous adenocarcinoma(MA). Methods A total of 13 594 patients with colonic MA after surgery from 2006 to 2015 were collected in the Surveillance,Epidemiology and Final Results(SEER)database. They were divided into right⁃side MA group(n = 9 824)and left⁃side colonic MA group(n = 3 770). Overall survival(OS)of the two groups was estimated using the Kaplan⁃Meier method and stratified analysis was conducted by stage and degree of differentiation. The prognostic factors of patients with left⁃ side and right ⁃side colonic MA were evaluated using multivariate COX regression analyses. Results There were differences in the tumor characteristics of the left⁃side and right⁃side colonic MA patients. The 5⁃year survival rates of the left⁃side and right⁃side MA were 51.6% and 55.0%,respectively,and there was no difference in overall sur⁃ vival between the two groups(P = 0.234). Stratified analysis revealed there was no difference in the OS between the left⁃side and right⁃side colonic MA in the AJCC staging stage Ⅰ(P = 0.203),stage Ⅱ(P = 0.156),stage Ⅲ (P = 0.08),well differentiated(P = 0.091),moderately differentiated(P = 0.252)and undifferentiated(P = 0.946). The OS of the left⁃side group was better than that of the right⁃side group in stage Ⅳ colonic MA(P < 0.001). However,the OS was better in the right⁃side group compared with that in the left⁃side group in poorly differentiated colonic MA(P = 0.001). Multivariate COX analysis showed that male,aged over 60,single or unmarried,wid⁃owed,stage T3,stage T4,stage N1,stage N2,stage M1,poorly differentiated,undifferentiated,number of lymph nodes less than 12,CEA positive,and no chemotherapy were independent risk factors of postoperative patients with left⁃side or right⁃side colonic MA. Moderately differentiated was also an independent risk factor for the prognosis of postoperative patients with left colonic MA. Conclusion The survival differences are not completely the same between the right⁃side and left⁃side colonic MA with different differentiations and stages. The independent risk factors for the prognosis of postoperative patients with left ⁃side and right ⁃side colonic MA are not completely the same. 

Key words:

 , left?side and right?sided colon cancer, mucinous adenocarcinoma, tumor stage, tumor differentiation, prognosis, SEER database