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Multivariate analyses of flow cytometric S-phase and ploidy as node-negative breast cancer prognostic factors: an international and multi-center study
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2001 (English)In: Abstract Issue, 24th Annual San Antonio, Breast Cancer Symposium. December 10-13, 2001 San Antonio Marriott Rivercenter, Texas, USA.: Breast Cancer Research and Treatment, ISSN 0167-6806, Vol 69, Issue 3, 2001, Vol. 69, no 3, 260-260 p.Conference paper (Refereed)
Abstract [en]

Recently a set of ten adjustments that optimizes the prognostic strength of both DNA ploidy (P) and S-phase (S) was published (Cytometry, 46(3), 2001). Also presented was an optimal method of combining P and S (P+S) that stratifies node-negative patients into highly significant risk groups. The adjustments compensate for many unappreciated complexities in categorizing P into low and high risk groups and eliminate unwanted correlation between P and S. The purpose of this study is to examine P+S in the context of other well-known prognostic factors such as primary size (pT), estrogen and progesterone receptor (ER,PR) and menopausal status (MS). Methods: DNA histograms derived from frozen primary tumors and clinical databases were provided by Baylor College, n=935; Sweden, n=210 (Lund, Linkoping, Stockholm) and France, n=220 (Angers, Marseille, Saint Cloud, Tours). Time to metastasis was the tested clinical outcome. Results: Cox proportional hazards analysis of theBaylor data revealed P+S, p<0.000002, and pT, p<0.003, as independent significant prognostic factors. The Sweden study also showed P+S the mostsignificant prognostic factor, p<0.002, as well as MS, p<0.004 and ER, p<0.007. The French study results were MS, p<0.0005, P+S, p<0.002 and pT, p<0.007.A P+S, MS and pT prognostic model stratified patients in all studies into highly significant categories, Baylor, p<0.000005, Sweden, p<0.00001, and French, p<0.000005, with low and high risk 10-year relapse-free survival fractions of 0.92-0.69, 0.95-0.58 and 0.96-0.60 respectively. Conclusion: A combined P+S, MS and pT prognostic model is a powerful and reliable method of stratifying node-negative breast cancer patients into highly significant prognostic groups.

Place, publisher, year, edition, pages
2001. Vol. 69, no 3, 260-260 p.
National Category
Medical and Health Sciences
URN: urn:nbn:se:liu:diva-49075DOI: 10.1023/A:1017475415273OAI: diva2:269971
24th Annual San Antonio Breast Cancer Symposium, December 10-13 2001, San Antonia, Texas, USA
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2013-01-16Bibliographically approved

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Stål, Olle
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OncologyFaculty of Health Sciences
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