摘要
对有随访资料的８５例乳腺癌手术切除标本进行癌细胞的ＤＮＡ含量、核仁组成区银染颗粒计数、ｐ５３抗癌基因蛋白、雌激素受体（ＥＲ）、增殖细胞核抗原（ＰＣＮＡ）、核形状因子（ＦＦ）及病理组织学分型、分级、年龄、临床分期、肿瘤大小等临床病理指标检测，并将此指标作为自变量，病人术后生存期作为应变量。全部资料经电子计算机多因素逐步回归分析，结果经筛选选人与预后有关的自变量为组织学分级，临床分期、ＦＦ、ＥＲ和ＰＣＮＡ。根据这些自变量作业所得模型，可较客观而又正确地估计乳腺癌病人术后的相对危险度及生存概率，具有一定的临床应用价值。
In a following-up study of 85 breast cancer patients,the clinical and pathological markers including cellular nuclear DNA content,AgNOR counts,p53 oncoprotein,estrogen raceptor(ER),proliferative cell nuclear antigen(PCNA) raseptor,nuclear form factor(FF),historic type and grade,age,clinical stage and tumour size were determined.Then these markers and the patient survival were regarded as independent and dependent variables,respectively.All the data were analyzed by stepwise regression analysis using the computer.The result showed that the selected independent variables related to prognosis were historic grade,clinical stage,FF,ER and PCNA receptor.According to the worked model of the variables we could objectively and properly evaluate the relative risk and survival propability of the patients with breast cancers,which has a certain applicable value in clinical practice.
出处
《第二军医大学学报》
CAS
CSCD
北大核心
1994年第3期249-252,共4页
Academic Journal of Second Military Medical University
基金
第二军医大学青年科学基金
关键词
乳腺癌
预后
逐步回归分析
breast cancer
prognosis
stepwise regression analysis
