Literature DB >> 2917476

The Multivariate Prognostic Index and nuclear DNA content are independent prognostic factors in primary breast cancer patients.

J C van der Linden1, J Lindeman, J P Baak, C J Meijer, C J Herman.   

Abstract

The predictive value of a previously described Multivariate Prognostic Index (which incorporates weighted values of the mitotic activity index, tumor size, and the axillary lymph node status), and the nuclear DNA content (DNA) was evaluated in 156 patients with primary invasive ductal breast cancer, diagnosed between 1980 and 1983. The results were analysed with respect to the occurrence of distant recurrence and survival of the patients after at least 3 yr of follow-up (range 36-73 months; median 44 months). Known prognostic factors such as lymph node status, tumor size, and the mitotic activity index correlated independently with distant recurrence. Furthermore, in respect to survival, the investigated prognostic factors (except DNA content) were significantly correlated. The results indicate that the predictive value of the Multivariate Prognostic Index (MPI) is stronger (P less than 0.001) than of the nuclear DNA content (P less than 0.005) with respect to distant recurrence. In a Cox multivariate regression analysis DNA ploidy turned out to be an independent prognostic factor once the MPI was selected. Furthermore, in Cox's analysis, DNA ploidy was the fourth selected variable after lymph node status, mitotic activity index, and tumor size in individual parameter analysis. The results of this study indicate that, with respect to breast cancer screening programs, it seems worthwhile to integrate morphometric features, the MPI, and DNA ploidy in a new prognostic model.

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Year:  1989        PMID: 2917476     DOI: 10.1002/cyto.990100110

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  17 in total

Review 1.  Proliferation markers in tumours: interpretation and clinical value.

Authors:  P J van Diest; G Brugal; J P Baak
Journal:  J Clin Pathol       Date:  1998-10       Impact factor: 3.411

2.  Prognostic value of morphometry in breast cancer.

Authors:  J P Baak; J C van der Linden; P J van Diest
Journal:  J Clin Pathol       Date:  1991-10       Impact factor: 3.411

3.  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

4.  Prognostic value of nucleolar morphometric variables in cytological breast cancer specimens.

Authors:  P J van Diest; J Mouriquand; N W Schipper; J P Baak
Journal:  J Clin Pathol       Date:  1990-02       Impact factor: 3.411

5.  Comparison of PCNA/cyclin immunohistochemistry with flow cytometric S-phase fraction in breast cancer.

Authors:  D W Visscher; S Wykes; J Kubus; J D Crissman
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

6.  The relationship between flow-cytometric and immunohistochemically detected c-erbB-2 expression, grade and DNA ploidy in breast cancer.

Authors:  I Brotherick; B K Shenton; W K Cowan; B Angus; C H Horne; M J Higgs; T W Lennard
Journal:  Cancer Immunol Immunother       Date:  1995-09       Impact factor: 6.968

7.  Characterization of four in vitro established canine mammary carcinoma and one atypical benign mixed tumor cell lines.

Authors:  E Hellmén
Journal:  In Vitro Cell Dev Biol       Date:  1992-05

8.  Improved prognostication in small (pT1) breast cancers by image cytometry.

Authors:  M Aubele; G Auer; U Falkmer; A Voss; K Rodenacker; L E Rutquist; H Höfler
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

9.  At convenience and systematic random sampling: effects on the prognostic value of nuclear area assessments in breast cancer patients.

Authors:  I Jannink; J N Bennen; J Blaauw; P J van Diest; J P Baak
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

10.  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

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