Literature DB >> 4042787

DNA image cytometry on machine-selected breast cancer cells and a comparison between flow cytometry and scanning cytophotometry.

C J Cornelisse, A M Van Driel-Kulker.   

Abstract

A DNA image cytometry method, implemented on the LEYTAS image processing system, has been applied to acriflavine-Feulgen-stained breast cancer cytology specimens. An essential feature of the LEYTAS image cytometry method (LCM) is the automated selection of single nuclei according to predetermined specifications. Visual interaction has been used to reject remaining artefacts like overlapping nuclei. DNA profiles obtained with LCM have been compared with DNA profiles obtained by scanning cytophotometry (SCM) or flow cytometry (FCM). The resolution of DNA profiles obtained with LCM is similar to that from SCM but lower than that from FCM. However, a high correlation is found for the DNA indices measured with LCM and FCM (r = 0.97). The LCM profiles of aneuploid tumours generally showed lower accessory diploid fractions than FCM profiles due to the automated rejection of leukocyte nuclei. Also, LCM profiles frequently showed the presence of minor subpopulations of highly aneuploid/polyploid tumour cells that could not be identified by FCM. Therefore, LCM appears to be supplementary to FCM for studying tumour cell stemline heterogeneity.

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Year:  1985        PMID: 4042787     DOI: 10.1002/cyto.990060512

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


  11 in total

1.  Comparison of extent of disease and morphometric and DNA flow cytometric prognostic factors in invasive ductal breast cancer.

Authors:  A M Uyterlinde; N W Schipper; J P Baak
Journal:  J Clin Pathol       Date:  1987-12       Impact factor: 3.411

2.  Biological grading of breast cancer using antibodies to proliferating cells and other markers.

Authors:  S S Bacus; R Goldschmidt; D Chin; G Moran; D Weinberg; J W Bacus
Journal:  Am J Pathol       Date:  1989-11       Impact factor: 4.307

3.  Image analysis combined with quantitative cytochemistry. Results and instrumental developments for cancer diagnosis.

Authors:  J S Ploem; A M van Driel-Kulker; L Goyarts-Veldstra; J J Ploem-Zaaijer; N P Verwoerd; M van der Zwan
Journal:  Histochemistry       Date:  1986

Review 4.  The study of endocrine tumors by flow and image cytometry.

Authors:  Ingrid Zbieranowski; David Murray
Journal:  Endocr Pathol       Date:  1992-06       Impact factor: 3.943

5.  DNA ploidy level and S-phase fraction as prognostic factors in breast cancer.

Authors:  T Yokoe; M Izuo; T Ishida; Y Iino; T Kawai
Journal:  Jpn J Surg       Date:  1990-09

6.  Diagnostic value of DNA image cytometry in ulcerative colitis.

Authors:  R Keller; E C Foerster; A Köhler; B Floer; G Winde; H J Terpe; W Domschke
Journal:  Dig Dis Sci       Date:  2001-04       Impact factor: 3.199

7.  High DNA content and prognosis in lymph node positive breast cancer. A case control study by the University of Leiden and ECOG. (Eastern Cooperative Oncology Group).

Authors:  K W Gilchrist; R Gray; A M van Driel-Kulker; W E Mesker; J J Ploem-Zaaijer; J S Ploem; S G Taylor; D C Tormey
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

8.  Value of DNA image cytometry in the prediction of malignant change in Barrett's oesophagus.

Authors:  P D James; M Atkinson
Journal:  Gut       Date:  1989-07       Impact factor: 23.059

9.  Comparative assessment of proliferation and DNA content in breast carcinoma by image analysis and flow cytometry.

Authors:  A E Dawson; J A Norton; D S Weinberg
Journal:  Am J Pathol       Date:  1990-05       Impact factor: 4.307

10.  Gross genomic damage measured by DNA image cytometry independently predicts gastric cancer patient survival.

Authors:  J A M Belien; T E Buffart; A J Gill; M A M Broeckaert; P Quirke; G A Meijer; H I Grabsch
Journal:  Br J Cancer       Date:  2009-09-15       Impact factor: 7.640

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