Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients

Maxime P. Look; Wim Van Putten; Michael Duffy; Nadia Harbeck; Ib Jarle Christensen; Christoph Thomssen; Ronald Kates; Frédérique Spyratos; Mårten Fernö; Serenella Eppenberger-Castori; C. G.J.Fred Sweep; Kurt Ulm; Jean Philippe Peyrat; Pierre Marie Martin; Henri Magdelenat; Nils Brünner; Catherine Duggan; Björn W. Lisboa; Pär Ola Bendah; Véronique Quillien; Alain Daver; Gabriel Ricolleau; Marion Meijer-Van Gelder; Peggy Manders; W. Edward Fiets; Marinus Blankenstein; Philippe Broët; Sylvie Romain; Günther Daxenbichler; Gudrun Windbichler; Tanja Cufer; Simona Borstnar; Willy Kueng; Louk Beex; Jan Klijn; Nial O'Higgins; Urs Eppenberger; Fritz Jänicke; Manfred Schmitt; John Foekens

doi:10.1160/th02-11-0264

Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients

Maxime P. Look, Wim Van Putten, Michael Duffy, Nadia Harbeck, Ib Jarle Christensen, Christoph Thomssen, Ronald Kates, Frédérique Spyratos, Mårten Fernö, Serenella Eppenberger-Castori, C. G.J.Fred Sweep, Kurt Ulm, Jean Philippe Peyrat, Pierre Marie Martin, Henri Magdelenat, Nils Brünner, Catherine Duggan, Björn W. Lisboa, Pär Ola Bendah, Véronique QuillienAlain Daver, Gabriel Ricolleau, Marion Meijer-Van Gelder, Peggy Manders, W. Edward Fiets, Marinus Blankenstein, Philippe Broët, Sylvie Romain, Günther Daxenbichler, Gudrun Windbichler, Tanja Cufer, Simona Borstnar, Willy Kueng, Louk Beex, Jan Klijn, Nial O'Higgins, Urs Eppenberger, Fritz Jänicke, Manfred Schmitt, John Foekens

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Abstract

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-1 in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-1 for relapse-free survival (RFS) and NFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-1 survival analyses, reflecting the interaction between nodal status and uPA/PAl-1. The estimates for uPA and PAI-1 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-1 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-1 are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.

Original language	English
Pages (from-to)	538-548
Number of pages	11
Journal	Thrombosis and Haemostasis
Volume	90
Issue number	3
DOIs	https://doi.org/10.1160/th02-11-0264
State	Published - 1 Sep 2003

Keywords

Breast cancer
PAI-1
Pooled-analysis
Prognosis
uPA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1160/th02-11-0264

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Look, M. P., Van Putten, W., Duffy, M., Harbeck, N., Christensen, I. J., Thomssen, C., Kates, R., Spyratos, F., Fernö, M., Eppenberger-Castori, S., Sweep, C. G. J. F., Ulm, K., Peyrat, J. P., Martin, P. M., Magdelenat, H., Brünner, N., Duggan, C., Lisboa, B. W., Bendah, P. O., ... Foekens, J. (2003). Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients. Thrombosis and Haemostasis, 90(3), 538-548. https://doi.org/10.1160/th02-11-0264

@article{238b454cf720476a852234f7cf860df1,

title = "Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients",

abstract = "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-1 in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-1 for relapse-free survival (RFS) and NFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-1 survival analyses, reflecting the interaction between nodal status and uPA/PAl-1. The estimates for uPA and PAI-1 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-1 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-1 are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.",

keywords = "Breast cancer, PAI-1, Pooled-analysis, Prognosis, uPA",

author = "Look, {Maxime P.} and {Van Putten}, Wim and Michael Duffy and Nadia Harbeck and Christensen, {Ib Jarle} and Christoph Thomssen and Ronald Kates and Fr{\'e}d{\'e}rique Spyratos and M{\aa}rten Fern{\"o} and Serenella Eppenberger-Castori and Sweep, {C. G.J.Fred} and Kurt Ulm and Peyrat, {Jean Philippe} and Martin, {Pierre Marie} and Henri Magdelenat and Nils Br{\"u}nner and Catherine Duggan and Lisboa, {Bj{\"o}rn W.} and Bendah, {P{\"a}r Ola} and V{\'e}ronique Quillien and Alain Daver and Gabriel Ricolleau and {Meijer-Van Gelder}, Marion and Peggy Manders and Fiets, {W. Edward} and Marinus Blankenstein and Philippe Bro{\"e}t and Sylvie Romain and G{\"u}nther Daxenbichler and Gudrun Windbichler and Tanja Cufer and Simona Borstnar and Willy Kueng and Louk Beex and Jan Klijn and Nial O'Higgins and Urs Eppenberger and Fritz J{\"a}nicke and Manfred Schmitt and John Foekens",

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doi = "10.1160/th02-11-0264",

language = "English",

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Look, MP, 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 2003, 'Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients', Thrombosis and Haemostasis, vol. 90, no. 3, pp. 538-548. https://doi.org/10.1160/th02-11-0264

TY - JOUR

T1 - Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients

AU - Look, Maxime P.

AU - Van Putten, Wim

AU - Duffy, Michael

AU - Harbeck, Nadia

AU - Christensen, Ib Jarle

AU - Thomssen, Christoph

AU - Kates, Ronald

AU - Spyratos, Frédérique

AU - Fernö, Mårten

AU - Eppenberger-Castori, Serenella

AU - Sweep, C. G.J.Fred

AU - Ulm, Kurt

AU - Peyrat, Jean Philippe

AU - Martin, Pierre Marie

AU - Magdelenat, Henri

AU - Brünner, Nils

AU - Duggan, Catherine

AU - Lisboa, Björn W.

AU - Bendah, Pär Ola

AU - Quillien, Véronique

AU - Daver, Alain

AU - Ricolleau, Gabriel

AU - Meijer-Van Gelder, Marion

AU - Manders, Peggy

AU - Fiets, W. Edward

AU - Blankenstein, Marinus

AU - Broët, Philippe

AU - Romain, Sylvie

AU - Daxenbichler, Günther

AU - Windbichler, Gudrun

AU - Cufer, Tanja

AU - Borstnar, Simona

AU - Kueng, Willy

AU - Beex, Louk

AU - Klijn, Jan

AU - O'Higgins, Nial

AU - Eppenberger, Urs

AU - Jänicke, Fritz

AU - Schmitt, Manfred

AU - Foekens, John

PY - 2003/9/1

Y1 - 2003/9/1

N2 - 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-1 in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-1 for relapse-free survival (RFS) and NFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-1 survival analyses, reflecting the interaction between nodal status and uPA/PAl-1. The estimates for uPA and PAI-1 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-1 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-1 are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.

AB - 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-1 in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-1 for relapse-free survival (RFS) and NFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-1 survival analyses, reflecting the interaction between nodal status and uPA/PAl-1. The estimates for uPA and PAI-1 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-1 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-1 are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.

KW - Breast cancer

KW - PAI-1

KW - Pooled-analysis

KW - Prognosis

KW - uPA

UR - http://www.scopus.com/inward/record.url?scp=10744232822&partnerID=8YFLogxK

U2 - 10.1160/th02-11-0264

DO - 10.1160/th02-11-0264

M3 - Article

C2 - 12958624

AN - SCOPUS:10744232822

SN - 0340-6245

VL - 90

SP - 538

EP - 548

JO - Thrombosis and Haemostasis

JF - Thrombosis and Haemostasis

IS - 3

ER -

Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients

Abstract

Keywords

UN SDGs

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