Literature DB >> 3697512

A comparison of static cytofluorometry and flow cytometry for the estimation of ploidy and DNA replication in human breast cancer.

O Stål, C Klintenberg, G Franzen, B Risberg, S Arvidsson, K Bjelkenkrantz, L Skoog, B Nordenskjöld.   

Abstract

332 primary invasive breast carcinomas were analysed by static cytofluorometry and flow cytometry. The ploidy distributions were similar, and 54% of the tumors were judged DNA aneuploid by both methods. The coefficient of variation of the G0-G1 peaks ranged from 2.0 to 8% with both techniques, but the mean was somewhat lower with flow cytometry--4.1%, compared to 4.9% for the static measurements. The proportion of S-phase cells was possible to estimate from 80% of the flow histograms and 70% of the static histograms. S-phase was not estimated from the static histograms if less than 150 tumor cells were measured. With 160 tumors S-phase was measured by both methods. The range was 0 to 27% with the static measurements and 0.7 to 25% with flow cytometry. Corresponding mean values were 7.6% and 8.2%, which are similar to thymidine labeling index results with breast cancers reported in some studies. A close correlation was obtained (r = 0.927) comparing S-phase fractions estimated from aneuploid tumors with flow cytometry and static cytofluorometry if more than 200 cells were measured with the latter. The proportion of S-phase cells was significantly lower for the diploid tumors. We conclude that both techniques can be useful for the estimation of DNA ploidy and replication in human breast cancer.

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Year:  1986        PMID: 3697512     DOI: 10.1007/bf01886731

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  30 in total

Review 1.  Flow cytometry in clinical cancer research.

Authors:  B Barlogie; M N Raber; J Schumann; T S Johnson; B Drewinko; D E Swartzendruber; W Göhde; M Andreeff; E J Freireich
Journal:  Cancer Res       Date:  1983-09       Impact factor: 12.701

2.  Flow-cytometric DNA analysis in primary breast carcinomas and clinicopathological correlations.

Authors:  S B Ewers; E Långström; B Baldetorp; D Killander
Journal:  Cytometry       Date:  1984-07

Review 3.  Practical breast carcinoma cell kinetics: review and update.

Authors:  J S Meyer; R W McDivitt; K R Stone; M U Prey; W C Bauer
Journal:  Breast Cancer Res Treat       Date:  1984       Impact factor: 4.872

4.  DNA flow cytometry of breast carcinoma after acetic-acid fixation.

Authors:  J S Meyer; S Micko; J L Craver; R W McDivitt
Journal:  Cell Tissue Kinet       Date:  1984-03

5.  The influence of age on the DNA ploidy levels of breast tumours.

Authors:  I W Taylor; E A Musgrove; M L Friedlander; M S Foo; D W Hedley
Journal:  Eur J Cancer Clin Oncol       Date:  1983-05

6.  DNA content and kinetic characteristics of non-Hodgkin's lymphoma: determined by flow cytometry and autoradiography.

Authors:  A Costa; G Mazzini; G Del Bino; R Silvestrini
Journal:  Cytometry       Date:  1981-11

7.  DNA cytometry of primary breast cancer. Comparison of microspectrophotometry and flow cytometry, and different preparation methods for flow cytometric measurements.

Authors:  S D Fosså; E Thorud; S Vaage; M C Shoaib
Journal:  Acta Pathol Microbiol Immunol Scand A       Date:  1983-07

8.  DNA distribution, cytosol estrogen receptors and axillary nodes as prognostic predictors in breast carcinoma.

Authors:  C Klintenberg; A Wallgren; K Bjelkenkrantz; J Carstenssen; S Humla; B Nordenskjöld; L Skoog
Journal:  Acta Radiol Oncol       Date:  1985 May-Jun

9.  DNA flow cytometry in primary breast carcinoma.

Authors:  S D Fosså; E Thorud; M C Shoaib; E O Pettersen; J Høie; O S Knudsen
Journal:  Acta Pathol Microbiol Immunol Scand A       Date:  1984-11

10.  Relationship of steroid receptor, cell kinetics, and clinical status in patients with breast cancer.

Authors:  T E Kute; H B Muss; D Anderson; K Crumb; B Miller; D Burns; L A Dube
Journal:  Cancer Res       Date:  1981-09       Impact factor: 12.701

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  6 in total

1.  The effect of transforming growth factor-beta on fibroblast cell proliferation in intact connective tissue in vitro.

Authors:  L Franzén; C Dahlquist
Journal:  In Vitro Cell Dev Biol Anim       Date:  1994-07       Impact factor: 2.416

2.  Prognostic potential of flow cytometric S-phase and ploidy prospectively determined in primary breast carcinomas.

Authors:  S B Ewers; R Attewell; B Baldetorp; A Borg; E Långström; D Killander
Journal:  Breast Cancer Res Treat       Date:  1992-01       Impact factor: 4.872

3.  Assessing prognosis for high-grade soft-tissue sarcomas: search for a marker.

Authors:  X Q Li; S G Parkekh; A E Rosenberg; H J Mankin
Journal:  Ann Surg Oncol       Date:  1996-11       Impact factor: 5.344

4.  Prognostic value of nuclear DNA content in breast cancer in relation to tumor size, nodal status, and estrogen receptor content.

Authors:  A von Rosen; L E Rutqvist; J Carstensen; A Fallenius; L Skoog; G Auer
Journal:  Breast Cancer Res Treat       Date:  1989-01       Impact factor: 4.872

5.  Nuclear DNA content and prognosis in human breast cancer: a static cytophotometric study.

Authors:  J Harvey; N de Klerk; I Berryman; G Sterrett; M Byrne; J Papadimitriou
Journal:  Breast Cancer Res Treat       Date:  1987       Impact factor: 4.872

6.  Nuclear DNA analysis and prognosis in carcinoma of the thyroid gland. A nationwide study in Iceland on carcinomas diagnosed 1955-1990.

Authors:  J G Jónasson; J Hrafnkelsson
Journal:  Virchows Arch       Date:  1994       Impact factor: 4.064

  6 in total

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