Literature DB >> 2918874

Prediction of relapse or survival in patients with node-negative breast cancer by DNA flow cytometry.

G M Clark1, L G Dressler, M A Owens, G Pounds, T Oldaker, W L McGuire.   

Abstract

More accurate prediction of the prognosis in women with node-negative breast cancer may improve physicians' ability to identify the patients most likely to benefit from systematic adjuvant therapy. With this in mind, we performed DNA flow-cytometric measurements of ploidy and the fraction of cells in the synthesis phase of the cell cycle (S-phase fraction) on 395 specimens of node-negative breast cancer from our bank of frozen tumors, using the aliquots of pulverized frozen tissue from steroid-receptor assays. The median duration of follow-up in patients still alive at the time of analysis was 59 months. Thirty-two percent of the 345 specimens that could be evaluated were diploid, and 68 percent were aneuploid. The probability of disease-free survival at five years was 88 +/- 3 percent in patients with diploid tumors and 74 +/- 3 percent in those with aneuploid tumors (P = 0.02). The S-phase fraction was not a significant additional predictor of disease-free survival in patients with aneuploid tumors. However, the probability of disease-free survival in patients with diploid tumors and low S-phase fractions was 90 +/- 3 percent at five years, as compared with 70 +/- 13 percent in those with diploid tumors and high S-phase fractions (P = 0.007). Similar differences in overall survival were noted. We conclude that DNA flow-cytometric measurements of ploidy and S-phase fraction can be performed on frozen specimens of tumors and are potentially important predictors of disease-free and overall survival in patients with node-negative breast cancer.

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Year:  1989        PMID: 2918874     DOI: 10.1056/NEJM198903093201003

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  93 in total

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Journal:  J Clin Pathol       Date:  2001-02       Impact factor: 3.411

Review 2.  Biological response modifiers in the management of patients with breast cancer.

Authors:  D L Longo; L C Hartmann
Journal:  Breast Cancer Res Treat       Date:  1990-09       Impact factor: 4.872

Review 3.  Node negative breast cancer.

Authors:  S M O'Reilly; M A Richards
Journal:  BMJ       Date:  1990-02-10

4.  Analysis of solid tumors by DNA cytometry.

Authors:  B H Mayall
Journal:  West J Med       Date:  1991-01

5.  Progesterone antagonists block the growth of experimental mammary tumors in G0/G1.

Authors:  H Michna; M Schneider; Y Nishino; M F el Etreby; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1990-12       Impact factor: 4.872

6.  Inter-laboratory comparison of DNA flow cytometric results from paraffin-embedded breast carcinomas.

Authors:  O P Kallioniemi; H Joensuu; P Klemi; T Koivula
Journal:  Breast Cancer Res Treat       Date:  1990-11       Impact factor: 4.872

7.  Prognostic factors and natural history in lymph node-negative breast cancer patients.

Authors:  R Arriagada; L E Rutqvist; L Skoog; H Johansson; A Kramar
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

8.  Relationship between c-erbB-2 immunoreactivity and thymidine labelling index in breast carcinoma in situ.

Authors:  D M Barnes; J S Meyer; J G Gonzalez; W J Gullick; R R Millis
Journal:  Breast Cancer Res Treat       Date:  1991-03       Impact factor: 4.872

9.  Biological indices in the assessment of breast cancer.

Authors:  A S Leong; A K Lee
Journal:  Clin Mol Pathol       Date:  1995-10

10.  Oncogene amplification in breast cancer.

Authors:  M Donovan-Peluso; A M Contento; H Tobon; B Ripepi; J Locker
Journal:  Am J Pathol       Date:  1991-04       Impact factor: 4.307

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