Schmitt M, Thomssen C, Ulm K, Seiderer A, Harbeck N, Höfler H, Jänicke F, Graeff H
Frauenklinik und Poliklinik, Munich, Germany.
Br J Cancer. 1997;76(3):306-11. doi: 10.1038/bjc.1997.383.
In breast cancer, several investigations have demonstrated that the tumour biological factors uPA urokinase-type plasminogen activator) and its inhibitor PAI-1 are statistically independent, strong prognostic factors for disease-free (DFS) and overall survival (OS). However, statistical analyses performed for varying follow-up periods suggested a time variation of prognostic strength. We therefore investigated the time-dependent prognostic power of uPA, PAI-1 and steroid hormone receptor status applying the time-varying coefficient model of Gray. uPA and PAI-1 were analysed by enzyme-linked immunosorbent assay in tumour tissue extracts from 314 breast cancer patients. Hormone receptors (oestrogen and progesterone) were determined by radioligand binding or by immunohistochemistry. Univariate and multivariate analyses (Cox proportional hazards model) of DFS and OS were performed for all patients, including 147 node-negative patients. Median follow-up of patients still alive at time of analysis (n = 232) was 58 months. Although initially of high prognostic impact, a continuous decrease over time in the prognostic power of hormone receptor status and uPA was observed. In contrast, the prognostic impact of PAI-1 increased over time and reached similar strength as the lymph node status. The time-dependent risk profile of prognostic factors may have important clinical implications in regard to follow-up and patients' individual risk situation. Evaluation of time dependency of prognostic factors may also give a more profound insight into the dynamics of breast cancer metastasis.
在乳腺癌中,多项研究表明肿瘤生物学因子uPA(尿激酶型纤溶酶原激活剂)及其抑制剂PAI-1是无病生存期(DFS)和总生存期(OS)的统计学独立且强大的预后因素。然而,针对不同随访期进行的统计分析表明预后强度存在时间变化。因此,我们应用Gray的时变系数模型研究了uPA、PAI-1和类固醇激素受体状态的时间依赖性预后能力。通过酶联免疫吸附测定法分析了314例乳腺癌患者肿瘤组织提取物中的uPA和PAI-1。通过放射性配体结合或免疫组织化学测定激素受体(雌激素和孕激素)。对所有患者,包括147例淋巴结阴性患者,进行了DFS和OS的单因素和多因素分析(Cox比例风险模型)。分析时仍存活患者(n = 232)的中位随访时间为58个月。尽管激素受体状态和uPA的预后能力最初具有较高的预后影响,但随着时间的推移观察到其持续下降。相比之下,PAI-1的预后影响随时间增加,并达到与淋巴结状态相似的强度。预后因素的时间依赖性风险特征在随访和患者个体风险情况方面可能具有重要的临床意义。评估预后因素的时间依赖性也可能更深入地洞察乳腺癌转移的动态过程。