Literature DB >> 8877386

Analysis of DNA and morphometry in breast carcinoma.

M Aubele1, G Auer, H Höfler.   

Abstract

Feulgen-stained imprints and smears from 730 cases of invasive breast cancer were investigated using an image analysis system. From each tumor sample 100 cells were randomly scanned and several DNA and morphometrical parameters evaluated. Their prognostic value for a prediction of distant metastases within 5 years was investigated with the multivariate Cox regression analysis, which was performed for all consecutive cases, as well as for node-negative and node-positive patients separately. The multivariate analyses showed a strong prognostic value of the anisonucleosis (variation of nuclear radius) and the DNA histogram type in addition to the nodal status, the tumor size (pT), and the histological tumor grade. However, performing this analysis for both node-positive patients and for those without lymph node metastases demonstrated a different prognostic meaning of the variables. The combination of each of the group-specific variables led to a prognostic factor, which allowed an assignment of patients to several subgroups with significantly different risk for distant metastases. Thus, both a low-risk group of node-negative patients with a 5-year distant recurrence rate of only 5.8%, and a higher risk group of node-negative patients with a recurrence rate of 38.6% could be identified. Among the node-positive patients, a low-risk group with a distant recurrence rate of 8.6%, and also a high risk group with 69% distant recurrence, could be identified.

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Year:  1996        PMID: 8877386     DOI: 10.1007/bf02484407

Source DB:  PubMed          Journal:  Histochem Cell Biol        ISSN: 0948-6143            Impact factor:   4.304


  17 in total

1.  Image cytometric DNA analysis in human breast cancer analysis may add prognostic information in diploid cases with low S-phase fraction by flow cytometry.

Authors:  B Baldetorp; M Fernö; A Fallenius; G Fallenius-Vecchi; I Idvall; H Olsson; H Sigurdsson; M Akerman; D Killander
Journal:  Cytometry       Date:  1992

2.  Prognostic significance of DNA measurement determined by image analysis in human breast carcinoma.

Authors:  R Mir; H Johnson; M Margolis; S Teplitz; L Wise
Journal:  J Surg Oncol       Date:  1992-07       Impact factor: 3.454

3.  Prognostic significance of DNA-ploidy in a series of 690 primary breast cancer patients.

Authors:  H Beerman; P M Kluin; J Hermans; C J van de Velde; C J Cornelisse
Journal:  Int J Cancer       Date:  1990-01-15       Impact factor: 7.396

4.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

5.  The value of morphometry to classic prognosticators in breast cancer.

Authors:  J P Baak; H Van Dop; P H Kurver; J Hermans
Journal:  Cancer       Date:  1985-07-15       Impact factor: 6.860

6.  Algorithm for a DNA-cytophotometric diagnosis and grading of malignancy.

Authors:  A Böcking; C P Adler; H H Common; M Hilgarth; B Granzen; W Auffermann
Journal:  Anal Quant Cytol       Date:  1984-03

7.  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

8.  Flow cytometric DNA ploidy defines patients with poor prognosis in node-negative breast cancer.

Authors:  I Balslev; I J Christensen; B B Rasmussen; J K Larsen; A E Lykkesfeldt; S M Thorpe; C Rose; P Briand; H T Mouridsen
Journal:  Int J Cancer       Date:  1994-01-02       Impact factor: 7.396

9.  Prognostic significance of DNA measurements in 409 consecutive breast cancer patients.

Authors:  A G Fallenius; G U Auer; J M Carstensen
Journal:  Cancer       Date:  1988-07-15       Impact factor: 6.860

10.  A prognostic index in primary breast cancer.

Authors:  J L Haybittle; R W Blamey; C W Elston; J Johnson; P J Doyle; F C Campbell; R I Nicholson; K Griffiths
Journal:  Br J Cancer       Date:  1982-03       Impact factor: 7.640

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  2 in total

1.  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

2.  Ductal carcinoma in situ of the breast (DCIS) with heterogeneity of nuclear grade: prognostic effects of quantitative nuclear assessment.

Authors:  Judith-Anne W Chapman; Naomi A Miller; H Lavina A Lickley; Jin Qian; William A Christens-Barry; Yuejiao Fu; Yan Yuan; David E Axelrod
Journal:  BMC Cancer       Date:  2007-09-10       Impact factor: 4.430

  2 in total

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