Pooled analysis of prognostic impact of uPA and PAI-I in breast cancer patients

被引:48
作者
Look, M
van Putten, W
Duffy, M
Harbeck, N
Christensen, IJ
Thomssen, C
Kates, R
Spyratos, F
Fernö, M
Eppenberger-Castori, S
Sweep, CGJF
Ulm, K
Peyrat, JP
Martin, PM
Magdelenat, H
Brünner, N
Duggan, C
Lisboa, BW
Bendah, PO
Quillien, V
Daver, A
Ricolleau, G
Meijer-Van Gelder, M
Manders, P
Fiets, WE
Blankenstein, M
Broët, P
Romain, S
Daxenbichler, G
Windbichler, G
Cufer, T
Borstnar, S
Kueng, W
Beex, L
Klijn, J
O'Higgins, N
Eppenberger, U
Jänicke, F
Schmitt, M
Foekens, J
机构
[1] Erasmus MC, Josephine Nefkens Inst, Dept Med Oncol, NL-3000 DR Rotterdam, Netherlands
[2] Erasmus MC, Dept Stat, NL-3000 DR Rotterdam, Netherlands
[3] Univ Coll Dublin, Conway Inst Biomol & Biomed Sci, Dept Surg, Dublin 2, Ireland
[4] Tech Univ Munich, Klinikum Rechts Isar, Frauenklin, D-8000 Munich, Germany
[5] Finsen Lab, Copenhagen, Denmark
[6] Univ Hamburg, Klinikum Eppendorf, Hamburg, Germany
[7] Lab Biol Tissulaire, St Cloud, France
[8] Univ Lund Hosp, Dept Oncol, S-22185 Lund, Sweden
[9] Univ Basel Hosp, Dept Res, Stiftung Tumorbank Basel, CH-4031 Basel, Switzerland
[10] Univ Nijmegen Hosp, Dept Chem Endocrinol, NL-6500 HB Nijmegen, Netherlands
[11] Lab Oncol Mol Humaine, Lille, France
[12] Fac Med, Secteur Nord, Marseille, France
[13] Inst Curie, Paris, France
[14] Royal Vet & Agr Univ, Inst Pharmacol & Pathobiol, Frederiksberg, Denmark
[15] Ctr Eugene Marquis, Biol Lab, Rennes, France
[16] Ctr Paul Papin, Angers, France
[17] Ctr Rene Gauducheau, St Herblain, France
[18] Univ Utrecht, Med Ctr, Utrecht, Netherlands
[19] Univ Innsbruck, Klin Frauenheilkunde, A-6020 Innsbruck, Austria
[20] Inst Oncol, Ljubljana, Slovenia
[21] Univ Coll Dublin, Dept Surg, Dublin 2, Ireland
关键词
pooled-analysis; uPA; PAI-I; breast cancer; prognosis;
D O I
10.1160/TH-02-11-0264
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
In this report we present an extension of the pooled analysis of the prognostic impact of urokinase-type plasminogen activator (uPA) and its inhibitor PAI-I in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-I for relapse-free survival (RFS) and MFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-I survival analyses, reflecting the interaction between nodal status and uPA/PAI-I. The estimates for uPA and PAI-I were found to be consistent, even when a different transformation of their values was used. The heterogeneity of the separate data sets decreased if the levels of uPA and PAI-I were ranked, data sets were pooled, and the analyses corrected for the base model that included all traditional prognostic factors, and stratified by data set. We conclude that uPA and PAI-I are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.
引用
收藏
页码:538 / 548
页数:11
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