Literature DB >> 3179930

Improving the prognostic value of DNA flow cytometry in breast cancer by combining DNA index and S-phase fraction. A proposed classification of DNA histograms in breast cancer.

O P Kallioniemi1, G Blanco, M Alavaikko, T Hietanen, J Mattila, K Lauslahti, M Lehtinen, T Koivula.   

Abstract

To optimize the prognostic value of DNA flow cytometry in breast cancer the authors calculated several parameters from the DNA histogram, including the DNA index, the size and number of aneuploid peaks as well as S-phase and G2/M-phase cell cycle fractions. Of these, DNA index and S-phase fraction (SPF) proved to be the most valuable prognostic indices. DNA aneuploidy was associated with a three-fold risk of death as compared to DNA diploidy (P less than 0.0001). The highest risk of death was associated with hypertetraploid (greater than 2.20) DNA index, whereas a tetraploid DNA index (1.80-2.20) was associated with a relatively low risk. The SPF had significant additional prognostic value in both DNA diploid (P = 0.0002) and DNA aneuploid (P = 0.02) tumors. By combining DNA index and SPF the authors defined three types of DNA histograms, which were associated with favorable, intermediate, and poor prognosis of the patients. DNA diploidy together with low (less than 7%) SPF (type I DNA histogram) was associated with very favorable prognosis, whereas DNA aneuploidy with high DNA index (greater than 2.20) or high (greater than 12%) SPF (type III DNA histogram) was related to the worst prognosis with approximately eight-fold relative risk of death. In a Cox multivariate regression analysis the type of DNA histogram was an independent and most powerful prognostic indicator in breast cancer. The other independent factors in the Cox analysis were primary tumor size, nodal status, and progesterone receptor status.

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Year:  1988        PMID: 3179930     DOI: 10.1002/1097-0142(19881115)62:10<2183::aid-cncr2820621019>3.0.co;2-b

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  35 in total

1.  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

2.  Cytometric and histopathologic features of tumors detected in a randomized mammography screening program: correlation and relative prognostic influence.

Authors:  T Hatschek; O Gröntoft; G Fagerberg; O Stål; S Sullivan; J Carstensen; B Nordenskjöld
Journal:  Breast Cancer Res Treat       Date:  1990-05       Impact factor: 4.872

3.  Breast cancer genetic evolution: I. Data from cytogenetics and DNA content.

Authors:  B Dutrillaux; M Gerbault-Seureau; Y Remvikos; B Zafrani; M Prieur
Journal:  Breast Cancer Res Treat       Date:  1991-11       Impact factor: 4.872

4.  Short-term significance of DNA ploidy and cell proliferation in breast carcinoma: a multivariate analysis of prognostic markers in a series of 308 patients.

Authors:  A E Pinto; S André; J Soares
Journal:  J Clin Pathol       Date:  1999-08       Impact factor: 3.411

5.  Flow cytometric DNA hypertetraploidy is associated with unfavourable prognostic features in breast cancer.

Authors:  A E Pinto; S André; M Nogueira; E Mendonça; J Soares
Journal:  J Clin Pathol       Date:  1997-07       Impact factor: 3.411

6.  Cellular proliferative activity of mammographic normal dense and fatty tissue determined by DNA S phase percentage.

Authors:  P C Stomper; R B Penetrante; S B Edge; M A Arredondo; L E Blumenson; C C Stewart
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

7.  Improved detection of DNA aneuploidy in primary breast cancer using quantitative DNA image analysis in combination with fluorescent in situ hybridization technique.

Authors:  B Verdoodt; P Castelain; C Bourgain; M Kirsch-Volders
Journal:  Histochem J       Date:  1995-01

Review 8.  Response to treatment of breast cancer.

Authors:  J L Berenberg
Journal:  Breast Cancer Res Treat       Date:  1991-05       Impact factor: 4.872

9.  The relationship between lymph node metastases and DNA-ploidy status as prognostic factors in invasive breast cancer.

Authors:  M Noguchi; N Ohta; N Koyasaki; T Taniya; I Miyazaki; Y Mizukami
Journal:  Surg Today       Date:  1992       Impact factor: 2.549

10.  DNA ploidy, S-phase, and steroid receptors in more than 127,000 breast cancer patients.

Authors:  C R Wenger; S Beardslee; M A Owens; G Pounds; T Oldaker; P Vendely; M R Pandian; D Harrington; G M Clark; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

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