Risk group discrimination in node-negative breast cancer using invasion and proliferation markers:: 6-year median follow up

被引:69
作者
Harbeck, N
Dettmar, P
Thomssen, C
Berger, U
Ulm, K
Kates, R
Höfler, H
Jänicke, F
Graeff, H
Schmitt, M
机构
[1] Tech Univ Munich, Klinikum Rechts Isar, Frauenklin, D-81675 Munich, Germany
[2] Tech Univ Munich, Inst Allgemeine Pathol & Pathol Anat, D-81675 Munich, Germany
[3] Tech Univ Munich, Inst Med Stat & Epidemiol, D-81675 Munich, Germany
[4] Univ Frauenklin Eppendorf, Hamburg, Germany
关键词
breast cancer; plasminogen activator inhibitor type 1 (PAI-1); prognosis; S-phase fraction; tumour biology; urokinase-type plasminogen activator (uPA);
D O I
10.1038/sj.bjc.6690373
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Factors reflecting two major aspects of tumour biology, invasion (urokinase-type plasminogen activator (uPA), plasminogen activator inhibiter (PAI-1), cathepsin D) and proliferation (S-phase fraction (SPF), Ki-67, p53, HER-2/neu), were assessed in 125 node-negative breast cancer patients without adjuvant systemic therapy. Median follow-up time was 76 months. Antigen levels of uPA, PAI-1 and cathepsin D were immunoenzymatically determined in tumour tissue extracts. SPF and ploidy were determined flow-cytometrically, Ki'''-67, p53, and HER-2/neu immunohistochemically in adjacent paraffin sections. Their prognostic impact on disease-free (DFS) and overall survival (OS) was compared to that of traditional factors (tumour size, grading, hormone receptor status). Univariate analysis determined PAI-1 (P < 0.001), UPA (P = 0.008), cathepsin D (P = 0.004) and SPF (P = 0.023) as significant for DFS. All other factors failed to be of significant prognostic value. In a Cox model, only PAI-1 was significant for DFS (P < 0.001, relative risk (RR) 6.2). In CART analysis for DFS, the combination of PAI-1 and UPA gave the best risk group discrimination. For OS, PAI-I, cathepsin D, tumour size and ploidy were statistically significant in univariate, but PAI-1 was the only independently significant factor in Cox analysis (P < 0.001, RR 8.9). In particular, this analysis shows that PAI-1 is still a strong and independent prognostic factor in node-negative breast cancer after extended 6-year median follow-up.
引用
收藏
页码:419 / 426
页数:8
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