Literature DB >> 8227427

Computed cell cycle and DNA histogram analyses in image cytometry in breast cancer.

R Montironi1, L Diamanti, A Santinelli, C Magi Galluzzi, M Scarpelli, I Giannulis, F Mangili.   

Abstract

AIMS: To analyse the cell cycle and DNA histogram components in data from DNA static cytometry and, in particular, to investigate the influence of the length of time the slides are exposed to the light of the cytophotometer in evaluating the G0/G1 peak.
METHODS: DNA static cytometry was performed on 18 Feulgen stained imprints and six histological sections taken from six breast carcinomas. The total optical density values obtained were analysed using software commercially available as Multicycle. DNA flow cytometry was performed on the same cases.
RESULTS: The proportions of nuclei related to the cell cycle components from DNA static cytometric data, obtained from Feulgen stained cytological smears, were almost identical with those obtained from DNA flow cytometric data. Moreover, additional information was obtained from the DNA static cytometry frequency histogram and the proportions of nuclei below the diploid G0/G1 peak and above the G2 phase. Discrepancies between DNA static cytometry and DNA flow cytometry were seen in the large coefficients of variation of the G0/G1 peaks obtained with the former method of analysis, even though a better correspondence was found when the exposure time of the slides to the light of the cytophometer was conspicuously shortened. The information obtained from histological sections seemed to be similar to that obtained from DNA flow cytometry when a single cell population was present; a single cell population was detected in two out of the three cases in which two distinct populations had been present in DNA flow cytometry.
CONCLUSIONS: The computer analysis of DNA static cytometric data obtained from Feulgen stained cytological specimens provides the type of information on the cell cycle which is usually obtainable only from DNA flow cytometry. Correspondence with the DNA data from histological sections, however, was poor.

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Year:  1993        PMID: 8227427      PMCID: PMC501511          DOI: 10.1136/jcp.46.9.795

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  18 in total

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2.  Semi-automated diagnosis of cervical intra-epithelial neoplasia grade 2 by the measurement of acid labile DNA in cytologically normal nuclei.

Authors:  A M Sincock
Journal:  Cancer       Date:  1986-07-01       Impact factor: 6.860

3.  Apoptosis. The role of the endonuclease.

Authors:  M J Arends; R G Morris; A H Wyllie
Journal:  Am J Pathol       Date:  1990-03       Impact factor: 4.307

4.  Cytomorphometry. A methodologic study of preparation techniques, selection methods and sample sizes.

Authors:  P J van Diest; A W Smeulders; F B Thunnissen; J P Baak
Journal:  Anal Quant Cytol Histol       Date:  1989-08       Impact factor: 0.302

5.  Ploidy pattern analysis. Statistical considerations.

Authors:  P H Bartels; J E Weber; M Bibbo
Journal:  Anal Quant Cytol Histol       Date:  1985-06       Impact factor: 0.302

6.  Computer-aided S-phase fraction determination in DNA static cytometry in breast cancer. A preliminary methodologic study on cytologic material.

Authors:  R Montironi; L Diamanti; A Santinelli; M Scarpelli
Journal:  Anal Quant Cytol Histol       Date:  1992-10       Impact factor: 0.302

7.  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

8.  Comparison between slide and flow cytophotometric DNA measurements in breast tumors.

Authors:  G U Auer; U Askensten; K Erhardt; A Fallenius; A Zetterberg
Journal:  Anal Quant Cytol Histol       Date:  1987-05       Impact factor: 0.302

9.  Test statistics for detecting aneuploidy and hyperdiploidy.

Authors:  J E Weber; B A Baldessari; P H Bartels
Journal:  Anal Quant Cytol Histol       Date:  1985-06       Impact factor: 0.302

10.  Mathematical analysis of DNA distributions derived from flow microfluorometry.

Authors:  P N Dean; J H Jett
Journal:  J Cell Biol       Date:  1974-02       Impact factor: 10.539

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  1 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

  1 in total

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