Erlichman C, Warde P, Gadalla T, Ciampi A, Baskerville T
Department of Medicine, Princess Margaret Hospital, Toronto, Ontario, Canada.
Breast Cancer Res Treat. 1990 Oct;16(3):231-42. doi: 10.1007/BF01806331.
A retrospective chart review was conducted of women with stage III breast cancer seen at the Princess Margaret Hospital between January 1977 and December 1980. Three hundred and sixty-nine patients were available for analysis. These cases were evaluated to determine the prognostic factors of patients presenting with this stage of the disease using a recursive partitioning technique, RECPAM, and a Cox regression model. A non-mathematical description of RECPAM is presented and the advantages of RECPAM over Cox analysis are discussed. The results identify primary tumour size, axillary node involvement, internal mammary node involvement, and estrogen receptor status as the most important prognostic variables. RECPAM identified 3 prognostic groups and simultaneously provided rules based on the prognostic variables to assign patients to poor, intermediate, or good prognosis categories. Patients with estrogen receptor negative tumours, or those with axillary node involvement, primary tumours greater than 5 cm, and serum alkaline phosphatase greater than 60 IU/L, or those with internal mammary node involvement, no skin changes, and serum alkaline phosphatase greater than 60 IU/L, define a group with a poor prognosis. Patients with estrogen receptor positive tumours, no axillary node involvements, and primary tumours greater than 5 cm, or estrogen receptor positive tumours, axillary node involvement, primary tumours greater than 5 cm, but serum alkaline phosphatase less than or equal to 60 U/L, have an intermediate prognosis. The good prognosis group consists of those patients with estrogen receptor positive tumours who have either skin changes or primary tumours less than or equal to 5 cm. The effect of loco-regional and systemic therapy was assessed and there was no association between treatment assignment and prognostic group. On the basis of this RECPAM analysis, we have defined important prognostic variables to be used in the design of clinical trials, and three major patient subgroups which can be used in routine oncologic practice as a guide to patient management.
对1977年1月至1980年12月期间在玛格丽特公主医院就诊的III期乳腺癌女性患者进行了回顾性病历审查。共有369例患者可供分析。使用递归划分技术(RECPAM)和Cox回归模型对这些病例进行评估,以确定处于该疾病阶段的患者的预后因素。本文给出了RECPAM的非数学描述,并讨论了RECPAM相对于Cox分析的优势。结果确定原发肿瘤大小、腋窝淋巴结受累情况、内乳淋巴结受累情况和雌激素受体状态为最重要的预后变量。RECPAM确定了3个预后组,并同时根据预后变量提供了将患者分为预后差、中等或良好类别的规则。雌激素受体阴性肿瘤患者,或腋窝淋巴结受累、原发肿瘤大于5 cm且血清碱性磷酸酶大于60 IU/L的患者,或内乳淋巴结受累、无皮肤改变且血清碱性磷酸酶大于60 IU/L的患者,定义为预后差的一组。雌激素受体阳性肿瘤、无腋窝淋巴结受累且原发肿瘤大于5 cm的患者,或雌激素受体阳性肿瘤、腋窝淋巴结受累、原发肿瘤大于5 cm但血清碱性磷酸酶小于或等于60 U/L的患者,预后中等。预后良好组由那些雌激素受体阳性肿瘤且有皮肤改变或原发肿瘤小于或等于5 cm的患者组成。评估了局部区域和全身治疗的效果,治疗分配与预后组之间没有关联。基于这项RECPAM分析,我们确定了在临床试验设计中使用的重要预后变量,以及三个主要患者亚组,可在常规肿瘤学实践中作为患者管理的指南。