Cox模型在乳腺癌临床病理学预后分析中的应用

应用半参数方法Ｃｏｘ模型并借助电子计算机，对８５例具有随访资料的乳腺癌患者的组织学分级、分型、临床分期、肿瘤大小、核仁组成区嗜银蛋白（ＡｇＮＯＲ）、年龄、ｐ５３癌基因蛋白、ＤＮＡ倍体、雌激素受体（ＥＲ）、核增殖抗原（ＰＣＮＡ）等１１个临床病理指标进行分析，结果经筛选进入Ｃｏｘ模型中与预后有关的指标为组织学分级、临床分期、ＦＦ、ＥＲ与ＰＣＮＡ，经统计学处理，该Ｃｏｘ模型的Ｓｃｏｒｅ值为４４．７４３，

A clinicopathological analysis of prognosis in breast cancer by using Cox model

In a following-up study of 85 breast cancer, the clinicopathological measurements including histological grade, type, clinical stage, tumor size, argynophilic nucleolar organizer regions(AgNOR) , nuclear form factor(FF) , age, p53 oncoprotein, DNA content, estrogen receptor(ER) , and proliferative cellular nuclear antigen(PCNA) were analyzed by the computer.The results showed that the elected markers relevant to the prognosis were histological grade, clinical stage, FF, ER and PCNA after Cox model analysis . It seemed to be a very significant Cox model(Score value was 44.743, df=5, P<0. 0001). So according to the Cox model and the statistics formula, we could objectively and rightly estimate the relative risk of the marker. In addition, we could easily get the survival rate of a certain marker during a certain period based on the worked survival curve picture.