Literature DB >> 7558456

Different risk groups in node-negative breast cancer: prognostic value of cytophotometrically assessed DNA, morphometry and texture.

M Aubele1, G Auer, A Voss, U Falkmer, L E Rutquist, H Höfler.   

Abstract

Feulgen-stained imprints and fine-needle aspirates from 528 lymph-node-negative breast cancers were investigated by means of an image analysis system. Several DNA, morphometric and textural parameters were evaluated for each patient. The prognostic value of the parameters was investigated by multivariate Cox regression analysis. As prognostic criteria, a distant recurrence-free survival of 5 years and an overall survival of 8 years were considered. In multivariate analyses the anisokaryosis (standard deviation of nuclear radius, Rad-SD) was the strongest parameter in predicting the clinical course of node-negative patients. This was followed by a textural parameter (run-length, NR2 M) and the tumor size (pT). The DNA histogram type could also add prognostic information concerning distant recurrence-free survival, but not overall survival. In both approaches a multivariate prognostic factor was calculated for each of the node-negative patients by a linear combination of the selected variables. Using this factor, patients could be split into 5 subgroups with significantly different risks of distant metastases. Thus, a low-risk subgroup, with a 5-year distant recurrence rate of only 3%, and a subgroup with a considerably higher risk and a distant recurrence rate of 35%, could be distinguished. In survival analysis the low-risk group of node-negative patients showed an 8-year death rate of only 3%, whereas in the high-risk group 30% of the patients had died at 8 years. Thus DNA, morphometric and textural parameters can provide powerful prognostic information in node-negative breast carcinomas. The multivariate combination of the relevant variables may allow a better selection of those node-negative patients with a proven good prognosis, and of those who are at risk of distant recurrence and therefore may benefit from adjuvant treatment.

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Year:  1995        PMID: 7558456     DOI: 10.1002/ijc.2910630103

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


  6 in total

1.  Significance of nuclear morphometry in cytological aspirates of breast masses.

Authors:  Shivani Kalhan; Suparna Dubey; Sonia Sharma; Sharmila Dudani; Monika Dixit
Journal:  J Cytol       Date:  2010-01       Impact factor: 1.000

2.  The prognostic significance of determining DNA content in breast cancer by DNA image cytometry: the role of high grade aneuploidy in node negative breast cancer.

Authors:  Selma Yildirim-Assaf; Alexandra Coumbos; Werner Hopfenmüller; Hans-Dieter Foss; Harald Stein; Wolfgang Kühn
Journal:  J Clin Pathol       Date:  2007-06       Impact factor: 3.411

3.  Nuclear morphometry in relation to lymph node status in canine mammary carcinomas.

Authors:  G De Vico; P Maiolino; M Cataldi; G Mazzullo; B Restucci
Journal:  Vet Res Commun       Date:  2007-02-05       Impact factor: 2.816

4.  Prognostic impact of proliferation-associated factors MIB1 (Ki-67) and S-phase in node-negative breast cancer.

Authors:  P Dettmar; N Harbeck; C Thomssen; L Pache; P Ziffer; K Fizi; F Jänicke; W Nathrath; M Schmitt; H Graeff; H Höfler
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

5.  PTK (protein tyrosine kinase)-6 and HER2 and 4, but not HER1 and 3 predict long-term survival in breast carcinomas.

Authors:  M Aubele; G Auer; A K Walch; A Munro; M J Atkinson; H Braselmann; T Fornander; J M S Bartlett
Journal:  Br J Cancer       Date:  2007-02-13       Impact factor: 7.640

6.  Study of nuclear morphometry on cytology specimens of benign and malignant breast lesions: A study of 122 cases.

Authors:  Anamika Kashyap; Manjula Jain; Shailaja Shukla; Manoj Andley
Journal:  J Cytol       Date:  2017 Jan-Mar       Impact factor: 1.000

  6 in total

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