【摘要】 目的研究结直肠癌分子生物学特征及临床病理特征与和预后关系方法对317例结直肠癌患者的分子生物学特征及临床特征和预后进行单因素分析,取有统计学差异的因素进入Cox模型行多因素分析并作风险评估结果Kaplan-Meier法显示p53,C-erb-2,nm23,CEA,分化程度,Dukes分期这6种因素在分组间有统计学差异(均P<0.05)。而Cox模型分析显示Dukes分期,C-erb-2,nm23,p53这四种因素,是预测结直肠癌预后的独立因素(P<0.05,r均<1)。Dukes分期升高和nm23表达阴性,p53和C-erb-2表达阳性者预后差;反之则预后较好。结论结直肠癌C-erb-2,nm23,p53癌基因与临床Dukes分期相结合能更好地预测其预后。更多还原

【Abstract】 Objective To study the relationship between the molecular biology and the clinicopathologic characters with prognosis of colorectal cancer.Methods The molecular biology traits and clinical characters and prognosis of 317 colorectal cancer patients were compared by mono-factorial analysis;some of them regarded as statistical difference by mono-factorial analysis were analyzed with Cox model.Results There was statistical difference for the p53,C-erb-2,nm23,CEA,cell differentiation and Dukes stages with Kaplan-meier’s method(P>0.05).p53,C-erb-2,nm23 and Dukes stages with Cox model(P>0.05).The prognosis was worse with increase in Dukes stage,negative expression of gene nm23,and positive expression of gene p53 and C-erb-2.Reverse expressions had better prognosis.Conclusions It can be likely to get a more reliable prognosis predication if a combine examination together with p53,C-erb-2,nm23 and their clinical pathology such as Dukes stages,was done in colorectal cancer patients.更多还原