摘要
目的分析结直肠癌患者的生存情况,在临床上为其预后判断提供依据。方法选择血清肿瘤标志物、肿瘤部位、Ducks分期等11项相关临床指标,用SAS9.2软件对598例结直肠癌患者的相关数据进行单因素Kaplan-Meier和多因素非比例风险的COX模型分析。结果单因素Kaplan-Meier分析结果显示598例结直肠癌患者1、3、5年的生存率分别为91.79%、56.14%、21.89%;年龄、Ducks分期、病理类型、淋巴是否转移、血清中癌胚抗原(CEA)、糖链抗原(CA19-9、CA242)及肿瘤大小8个变量中各组患者的生存率差异有统计学意义(均P<0.05)。多因素COX分析结果显示结直肠癌的Ducks分期、年龄、病理类型、血清中CEA及CA242的含量是其预后的影响因素。结论对结直肠癌患者制定临床治疗方案和判断预后时,应该充分考虑Ducks分期、年龄、病理类型、血清中CEA含量及糖链抗原CA242等因素。
Objective To study prognostic factors of colorectal cancer using COX regression analysis. Methods Serum tumor markers, tumor location, Ducks stage and other 11 related physiological indicators of 598 cases of colorectal patients were performed by univariate Kaplan-Meier survival analysis and multivariate COX proportional hazards model analysis by SAS 9.2 software. Results 598 cases of eoloreetal cancer 1, 3, 5-year survival rates were 91.79% , 56.14% , 21.89% respectively; Ducks stage, age, pathological types, se- rum CEA, CA242, CA19-9, tumor seales and lymphatic metastasis were influential factors of eoloreetal cancer (P 〈 0.05). Multivariate analysis revealed that the Ducks stage, age, pathological types, serum CEA and CA242 were influential faetors of eolorectal cancer. Conclusions To determine clinical protocols and prognosis for colorectal cancer patients, it should fully consider Ducks stage, age, pathological types, serum CEA and CA242.
出处
《中国肿瘤外科杂志》
CAS
2012年第5期262-264,共3页
Chinese Journal of Surgical Oncology
关键词
结直肠癌
预后因素
时协变量
COX回归分析
colorectal cancer
prognosis factors
time-dependent variables
COX regression