Literature DB >> 2831704

Limited prognostic value of cellular DNA content to classical and morphometrical parameters in invasive ductal breast cancer.

A M Uyterlinde1, N W Schipper, J P Baak, H Peterse, E Matze.   

Abstract

This retrospective study evaluates several prognostic factors in 63 patients with invasive ductal breast cancer. Special attention is paid to the additional prognostic value of cellular DNA content to the previously developed and evaluated quantitative features mitotic activity index (MAI) and multivariate morphometric prognostic index (MPI). Follow-up was monitored for at least 50 months (median survival, 78 months) and only patients who died of distant metastases were included. The results show that the MAI is the strongest prognostic factor of all single features (Mantel-Cox, P = 0.008). Although patients with a diploid or tetraploid tumor tended to have a better prognosis than those with an aneuploid cancer, the DNA index as a single parameter was a weak prognosticator in the univariate survival analysis (Mantel-Cox, P = 0.24). Within the diploid and tetraploid tumors the MAI could distinguish patients with a favorable and unfavorable prognosis prediction (chi-square, P = 0.01). For aneuploid tumors this was not possible. Analysis of combined features revealed that the MPI has a high prognostic value (Mantel-Cox, P = 0.0015), thus confirming other studies. A linear combination of the nuclear DNA index, MAI, nodal status, and mean nuclear area showed only a slight improvement in prognosis prediction compared with the MPI (Mantel-Cox, P = 0.0005); with this rule, the classification of the patients was more in agreement with the actual outcome in 4% of the cases. The gain was in the poor prognosis group. These results suggest that the additional prognostic value of nuclear DNA content is restricted when compared with the morphometric prognostic factors. Further studies on a larger number of patients are required to confirm these findings.

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Year:  1988        PMID: 2831704     DOI: 10.1093/ajcp/89.3.301

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  16 in total

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Journal:  J Clin Pathol       Date:  1998-10       Impact factor: 3.411

2.  Prognostic value of proliferative activity in lymph node metastases of patients with breast cancer.

Authors:  P J van Diest; E Matze-Cok; J P Baak
Journal:  J Clin Pathol       Date:  1991-05       Impact factor: 3.411

3.  Cyclin D1 expression in invasive breast cancer. Correlations and prognostic value.

Authors:  P J van Diest; R J Michalides; L Jannink; P van der Valk; H L Peterse; J S de Jong; C J Meijer; J P Baak
Journal:  Am J Pathol       Date:  1997-02       Impact factor: 4.307

4.  Mitotic indexes as prognostic predictors in female breast cancer.

Authors:  S Aaltomaa; P Lipponen; M Eskelinen; V M Kosma; S Marin; E Alhava; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1992       Impact factor: 4.553

5.  Analysis of DNA and morphometry in breast carcinoma.

Authors:  M Aubele; G Auer; H Höfler
Journal:  Histochem Cell Biol       Date:  1996-08       Impact factor: 4.304

6.  The lectin-binding sites for peanut agglutinin in invasive breast ductal carcinomas and their role as a prognostic factor.

Authors:  E Mustac; M Melato; F Sasso; T Valkovic; C Bottin; N Jonjic
Journal:  J Cancer Res Clin Oncol       Date:  1996       Impact factor: 4.553

7.  A rapid and simple staining method, using toluidine blue, for analysing mitotic figures in tissue sections.

Authors:  P Chieco; M Pagnoni; E Romagnoli; C Melchiorri
Journal:  Histochem J       Date:  1993-08

8.  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

9.  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

10.  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

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