Literature DB >> 1601520

DNA flow cytometry, nuclear morphometry, mitotic indices and steroid receptors as independent prognostic factors in female breast cancer.

M Eskelinen1, P Lipponen, S Papinaho, S Aaltomaa, V M Kosma, P Klemi, K Syrjänen.   

Abstract

Clinical features, 8 histological variables, 7 nuclear morphometric variables, 2 mitotic indices, oestrogen-receptor (ER) and progesterone-receptor content (PR), DNA ploidy and S-phase fraction (SPF) were entered in a Cox's model to assess their independent predictive value in 216 breast-cancer patients followed up for over 9 years. In the whole series, histological type (p = 0.007), volume-corrected mitotic index (M/V index) (p = 0.01), axillary-lymph-node (pN) status (p = 0.024) and the year of treatment (p = 0.045) predicted independently the recurrence-free survival (RFS). In a sub-analysis including SPF (n = 148), the year of treatment (p = 0.003), tumour diameter (p = 0.004), SPF (p = 0.022) and nuclear pleomorphism (p = 0.056) independently predicted the RFS. In a Cox's analysis of the whole series, tumour diameter (p less than 0.001), pN status (p = 0.001), PR status (p = 0.002) and the year of treatment (p = 0.021) were independent predictors of survival. In a separate analysis including also SPF (n = 148), tumour diameter (p less than 0.001), SPF (p = 0.003), pN status (p = 0.008) and the year of treatment (p = 0.015) proved to be independent prognostic factors. The results show that tumour diameter, pN status, M/V-index, histological type, SPF and PR status comprise a sufficient combination of prognostic factors in female breast cancer. In pN patients, age and SDPE may be of additional prognostic significance. The prognostic scores combining the independent prognostic variables reflecting both the proliferative rate and metastatic potential of the tumours are accurate predictors of the RFS and overall survival.

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Year:  1992        PMID: 1601520     DOI: 10.1002/ijc.2910510409

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


  10 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.  The important prognostic value of Ki-67 expression as determined by image analysis in breast cancer.

Authors:  T Pietiläinen; P Lipponen; S Aaltomaa; M Eskelinen; V M Kosma; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1996       Impact factor: 4.553

3.  Tumour vascularity and basement membrane structure in breast cancer as related to tumour histology and prognosis.

Authors:  P Lipponen; H Ji; S Aaltomaa; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1994       Impact factor: 4.553

4.  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

Review 5.  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

Review 6.  DNA Cytometry Consensus Conference. Consensus review of the clinical utility of DNA cytometry in carcinoma of the breast.

Authors:  D W Hedley; G M Clark; C J Cornelisse; D Killander; T Kute; D Merkel
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

7.  Oral contraceptive use and the prognosis of breast cancer.

Authors:  I Schönborn; P Nischan; K Ebeling
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

8.  Spectral morphometric characterization of breast carcinoma cells.

Authors:  I Barshack; J Kopolovic; Z Malik; C Rothmann
Journal:  Br J Cancer       Date:  1999-03       Impact factor: 7.640

9.  Mitotic rate and S-phase fraction as prognostic factors in stage I cutaneous malignant melanoma.

Authors:  J M Karjalainen; M J Eskelinen; S Nordling; P K Lipponen; E M Alhava; V M Kosma
Journal:  Br J Cancer       Date:  1998-06       Impact factor: 7.640

10.  The prognostic significance of DNA flow cytometry in breast cancer: results from 881 patients treated in a single centre.

Authors:  R S Camplejohn; C M Ash; C E Gillett; B Raikundalia; D M Barnes; W M Gregory; M A Richards; R R Millis
Journal:  Br J Cancer       Date:  1995-01       Impact factor: 7.640

  10 in total

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