Literature DB >> 2298493

Further evaluation of the prognostic value of morphometric and flow cytometric parameters in breast-cancer patients with long follow-up.

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

Abstract

The added prognostic value of cellular DNA content compared with single and combined morphometric factors and classical parameters such as tumor size, nodal status, histologic grade and estrogen receptor (ER) content was investigated in 225 consecutive breast-cancer patients with long follow-up. Of all features investigated, the MPI (multivariate prognostic index) had the strongest prognostic value [Mantel-Cox (MC) = 48.2, p less than 0.00005]. The results further showed that neither age nor ER content had significant prognostic value, but the DNA index (DI) as a single parameter had (though weak) prognostic significance (MC = 5.9, p = 0.015); a similar result was obtained with the percentage of S-phase cells (MC = 6.1, p = 0.013). The DI had (restricted) additional prognostic value to the morphometric features (MPI plus DI Mantel-Cox 53.0, p less than 0.0001). The percentage of S-phase cells had no additional prognostic value over the MPI. On the other hand, the additional value of the DI over tumor size and nodal status was much more impressive (MC = 41.0 and 40.7), although it did not reach the prognostic significance of the MPI. Prediction of disease outcome with a linear combination of quantitative microscopical parameters of the primary tumor alone [MAI (mitotic activity index), DI and mean nuclear area] was very accurate, even without considering lymph-node status (MC 30.8, p less than 0.0005). Grade had no additional value to the MPI at all (p = 0.76). This could be especially important for lymph-node-negative patients in whom the prognostic value of the MPI and the MAI are confirmed.

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Year:  1990        PMID: 2298493     DOI: 10.1002/ijc.2910450102

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  12 in total

Review 1.  How malignant is malignant? A brief review of the microscopic assessment of human neoplasms, and the prediction of whether they will metastasize and kill.

Authors:  I Carr; N Pettigrew
Journal:  Clin Exp Metastasis       Date:  1991 Mar-Apr       Impact factor: 5.150

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.  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

4.  Quantitative histopathology in lymph node-negative breast cancer. Prognostic significance of mitotic counts.

Authors:  M Ladekarl; V Jensen
Journal:  Virchows Arch       Date:  1995       Impact factor: 4.064

5.  Combined use of nuclear morphometry and DNA ploidy as prognostic indicators in nonresectable adenocarcinoma of the pancreas.

Authors:  S Linder; J Lindholm; U Falkmer; M Blåsjö; P Sundelin; A von Rosen
Journal:  Int J Pancreatol       Date:  1995-12

6.  Proliferating-cell nuclear antigen (PC10) immunolabelling and other proliferation indices as prognostic factors in breast cancer.

Authors:  S Aaltomaa; P Lipponen; S Papinaho; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1993       Impact factor: 4.553

7.  Levels of immunoglobulin G antibodies against defined epitopes of the L1 and L2 capsid proteins of human papillomavirus type 6 are elevated in men with a history of condylomata acuminata.

Authors:  A Wikström; C Eklund; G Von Krogh; P Lidbrink; J Dillner
Journal:  J Clin Microbiol       Date:  1992-07       Impact factor: 5.948

8.  DNA ploidy and S-phase fraction in medullary carcinoma of the breast--a flow cytometric analysis using archival material.

Authors:  L Pedersen; J K Larsen; I J Christensen; A Lykkesfeldt; S Holck; T Schiødt
Journal:  Breast Cancer Res Treat       Date:  1994       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

Review 10.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

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