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基于原发性乳腺癌纤溶酶原激活物系统成分的播散风险指数

Dissemination risk index based on plasminogen activator system components in primary breast cancer.

作者信息

Bouchet C, Hacène K, Martin P M, Becette V, Tubiana-Hulin M, Lasry S, Oglobine J, Spyratos F

机构信息

Département de Biologie, Centre René Huguenin, St-Cloud, France.

出版信息

J Clin Oncol. 1999 Oct;17(10):3048-57. doi: 10.1200/JCO.1999.17.10.3048.

Abstract

PURPOSE

To study interactions between disease-free survival (DFS) and four components of the plasminogen activator system: urokinase-type plasminogen activator (uPA), its two inhibitors (PAI-1 and PAI-2), and its membrane receptor uPAR.

PATIENTS AND METHODS

We conducted a retrospective study of 499 primary breast cancer patients (median follow-up, 6 years). uPA, PAI-1, and PAI-2 were determined on cytosols and uPAR on solubilized pellets, using enzyme-linked immunoadsorbent assay kits (American Diagnostica, Greenwich, CT). Classical univariate and multivariate statistical methods were used together with multiple correspondence analysis to graphically examine interactions between the variables and outcome.

RESULTS

By univariate analysis, higher uPA and PAI-1 values were significantly related to shorter DFS (P =.002; P <.00002). PAI-2 was not significantly related to DFS, although patients with high and very low PAI-2 values had a longer DFS. Multiple correspondence analysis showed the parallel impact of uPA and PAI-1 on outcome, and the clearly different behavior of PAI-2 compared with PAI-1. The prognostic contribution of uPAR seemed weak by both methods. A dissemination risk index [uPA x PAI-1/(PAI-2 + 1)], taking into account the modulation of uPA proteolytic activity by the ratio of its two inhibitors, was then tested. Dissemination risk index was selected as an independent variable in the Cox model in the overall population (P <.000001) and in node-positive patients (P <.00001). It was the only variable selected in node-negative patients (P =. 003).

CONCLUSION

A dissemination risk index determined on primary tumor and taking into account the different effects of PAI-1 and PAI-2 on uPA can be of major help in clinical management of breast cancer, particularly in node-negative patients.

摘要

目的

研究无病生存期(DFS)与纤溶酶原激活物系统的四个组成部分之间的相互作用,这四个组成部分分别是尿激酶型纤溶酶原激活物(uPA)、其两种抑制剂(PAI-1和PAI-2)以及其膜受体uPAR。

患者与方法

我们对499例原发性乳腺癌患者进行了一项回顾性研究(中位随访时间为6年)。使用酶联免疫吸附测定试剂盒(美国诊断公司,格林威治,康涅狄格州)测定细胞溶胶中的uPA、PAI-1和PAI-2以及溶解颗粒中的uPAR。采用经典的单变量和多变量统计方法以及多重对应分析来直观地检验变量与结果之间的相互作用。

结果

单变量分析显示,较高的uPA和PAI-1值与较短的DFS显著相关(P = 0.002;P < 0.00002)。PAI-2与DFS无显著相关性,尽管PAI-2值高和非常低的患者DFS较长。多重对应分析显示uPA和PAI-1对结果的平行影响,以及PAI-2与PAI-1明显不同的行为。两种方法均显示uPAR的预后作用似乎较弱。然后测试了一个考虑其两种抑制剂比例对uPA蛋白水解活性调节作用的播散风险指数[uPA×PAI-1/(PAI-2 + 1)]。在总体人群(P < 0.000001)和淋巴结阳性患者(P < 0.00001)中,播散风险指数被选作Cox模型中的独立变量。在淋巴结阴性患者中,它是唯一被选中的变量(P = 0.003)。

结论

基于原发性肿瘤确定的、考虑PAI-1和PAI-2对uPA不同作用的播散风险指数,对乳腺癌的临床管理可能有很大帮助,尤其是在淋巴结阴性患者中。

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