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Clinical Chemistry 50: 1986-1993, 2004. First published September 13, 2004; 10.1373/clinchem.2004.039149
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(Clinical Chemistry. 2004;50:1986-1993.)
© 2004 American Association for Clinical Chemistry, Inc.


Molecular Diagnostics and Genetics

Survivin Is an Independent Prognostic Marker for Risk Stratification of Breast Cancer Patients

Paul N. Span1,a, Fred C.G.J. Sweep1, Erwin T.G. Wiegerinck2, Vivianne C.G. Tjan-Heijnen3, Peggy Manders1,3, Louk V.A.M. Beex3 and Jaques B. de Kok2

Departments of1 Chemical Endocrinology, 2 Clinical Chemistry, and 3 Medical Oncology, University Medical Center Nijmegen, Nijmegen, The Netherlands.

aAddress correspondence to this author at: 530 Department of Chemical Endocrinology, University Medical Center Nijmegen, PO Box 9101, 6500 HB Nijmegen, The Netherlands. Fax 31-24-3541484; e-mail p.span{at}ace.umcn.nl.

Background: Results in previous qualitative studies of the association of the apoptosis inhibitor survivin with prognosis of breast cancer patients have been contradictory.

Methods: Survivin mRNA was measured by quantitative TaqMan reverse transcription-PCR in 275 breast cancer tissues from patients with operable tumors and was correlated with established clinicopathologic factors, relapse-free survival [(RFS); 102 events], and overall survival [(OS); 81 events].

Results: High survivin mRNA concentrations were found mainly in tissues from younger patients and in high-grade cancer tissues. High survivin concentrations were most strongly associated with estrogen receptor- or progesterone receptor-negative tumors. In univariate Cox regression analysis for RFS, survivin concentrations were significantly associated with poor prognosis with a hazard ratio (HR) of 1.99 (95% confidence interval, 1.31–3.02; P = 0.001) for every 10-fold increase in expression. For OS, a significant contribution of survivin to poor prognosis was found with a HR of 2.76 (1.67–4.55; P <0.001). Multivariate analyses were performed including established clinicopathologic factors. For RFS, age (P = 0.027), nodal category (P <0.001), and survivin [HR = 1.78 (1.18–2.68); P = 0.006] contributed significantly to the model. For OS, only nodal category (P <0.001) and survivin [HR = 3.05 (1.83–5.10); P <0.001] were significant.

Conclusion: Survivin demonstrates a strong, independent, association with poor prognosis. Survivin might be used as a new marker to stratify breast cancer patients for more optimal treatment modalities, or it could be a promising new target for therapy.




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