Literature DB >> 1451590

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

B Baldetorp1, M Fernö, A Fallenius, G Fallenius-Vecchi, I Idvall, H Olsson, H Sigurdsson, M Akerman, D Killander.   

Abstract

Measurements of DNA ploidy can be performed either with image cytometry (ICM) or flow cytometry (FCM); both methods provide independent prognostic information in primary breast cancer. The aim of the present investigation was to compare the two methods and to relate the findings to prognosis (median follow-up 42 months). Concordance in ploidy status (diploid, tetraploid, aneuploid) was obtained in 76% of the samples (168/222). When the fraction of S-phase cells (SPF) from FCM analysis was also taken into consideration, four different groups of samples were obtained (Flow I-IV), which were considered to correspond to the Auer classification (Auer I-IV) of DNA histograms obtained from image cytometry. Complete concordance between the two techniques now was 70% (155/222). Samples classified as Flow I (diploid or near-diploid with low SPF) and Auer I had a distant metastasis rate of 3/60 (5%), as compared to 62/154 (40%) for all other combinations of the Flow and Auer classifications taken together. Thus, the only findings of prognostic importance were that some samples were Flow I but not Auer I, or vice versa. These two groups represent 17 (7.7%) and 14 (6.3%), respectively, of the total number of samples, and had frequencies of distant metastasis similar to those of the other high-risk groups, namely, 7/17 and 5/14, respectively. In a multivariate analysis, flow cytometric S-phase value was a stronger prognostic factor than either the Flow and Auer classification. We conclude that when routine FCM DNA analysis is used, diploid or near-diploid samples with a low S-phase value should be reanalyzed with ICM.

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Year:  1992        PMID: 1451590     DOI: 10.1002/cyto.990130605

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  11 in total

1.  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

2.  Impact of the preparation technique on DNA content measured by image analysis in early stage human testis cancer.

Authors:  C de Riese; W N Crabtree; W de Riese; J A Jones; J Pastor; G Haupt; R S Foster; J P Donohue; T Senge
Journal:  Int Urol Nephrol       Date:  1995       Impact factor: 2.370

3.  Quantitative DNA measurement by flow cytometry and image analysis of human nonseminomatous germ cell testicular tumors.

Authors:  W de Riese; E B Walker; C de Riese; T M Ulbright; W N Crabtree; J Messemer; J A Jones; A Hinkel; R S Foster; J P Donohue
Journal:  Urol Res       Date:  1994

4.  Image cytometry accurately detects DNA ploidy abnormalities and predicts late relapse to high-grade dysplasia and adenocarcinoma in Barrett's oesophagus following photodynamic therapy.

Authors:  J M Dunn; G D Mackenzie; D Oukrif; C A Mosse; M R Banks; S Thorpe; P Sasieni; S G Bown; M R Novelli; P S Rabinovitch; L B Lovat
Journal:  Br J Cancer       Date:  2010-05-11       Impact factor: 7.640

5.  Improved detection of DNA aneuploidy in primary breast cancer using quantitative DNA image analysis in combination with fluorescent in situ hybridization technique.

Authors:  B Verdoodt; P Castelain; C Bourgain; M Kirsch-Volders
Journal:  Histochem J       Date:  1995-01

6.  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

7.  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

8.  DNA cell-cycle analysis of cervical cancer by flow cytometry using simultaneous cytokeratin labelling for identification of tumour cells.

Authors:  R Kimmig; T Kapsner; H Spelsberg; M Untch; H Hepp
Journal:  J Cancer Res Clin Oncol       Date:  1995       Impact factor: 4.553

9.  S-phase fraction identifies high-risk subgroups among DNA-diploid breast cancers.

Authors:  H Romero; J Schneider; J Burgos; J Bilbao; F J Rodriguez-Escudero
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

10.  Genetic aberrations in hypodiploid breast cancer: frequent loss of chromosome 4 and amplification of cyclin D1 oncogene.

Authors:  M M Tanner; R A Karhu; N N Nupponen; A Borg; B Baldetorp; T Pejovic; M Fernö; D Killander; J J Isola
Journal:  Am J Pathol       Date:  1998-07       Impact factor: 4.307

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