Literature DB >> 1690316

Multiparametric deoxyribonucleic acid and cell cycle analysis of breast carcinomas by flow cytometry. Clinicopathologic correlations.

D W Visscher1, R J Zarbo, G Jacobsen, A Kambouris, G Talpos, W Sakr, J D Crissman.   

Abstract

Using intact ethanol-fixed cytokeratin monoclonal (CAM 5.2) and propidium iodide dual-stained cells, we have performed two-color multiparametric flow cytometric (FCM) DNA analysis and S-phase fraction (SPF) determination on 165 mechanically dissociated breast carcinomas. Sixty-seven patients were axillary node positive, 33 patients node negative; 59 had biopsy only and in 8, FCM was performed on tissue from metastatic lesions. Overall, 62% of the tumors contained aneuploid cell populations. Abnormal cellular DNA content (aneuploidy) was significantly correlated with high nuclear grade (p less than 0.001), lack of estrogen receptors (p less than 0.001), presence of vascular invasion (p less than 0.04), high histologic grade (p less than 0.04), and tumor size (p less than 0.03) but not with patient age (p greater than 0.07) or axillary node status (p greater than 0.50). SPF values derived from ungated histograms had a positively skewed frequency distribution (range 2 to 30%, N = 152) with an overall median of 11% (diploid, 8.9%; aneuploid, 15.7%). Higher SPF values were significantly correlated with aneuploidy (p less than 0.001), presence of necrosis (p less than 0.001), lack of estrogen receptor (p less than 0.0001), high nuclear grade (p less than 0.001), vascular invasion (p less than 0.003), tumor size (p less than 0.006), and high histologic grade (p less than .004) but not the presence of lymph node metastases (p greater than 0.56). Mean SPF values were significantly higher when calculated from cytokeratin gated DNA histograms (14.1% versus 11.5%, p less than 0.001), probably due to exclusion of contaminating stromal/inflammatory cells; and significantly lower when calculated from debris subtracted histograms (7.8% versus 11.4%). Cytokeratin gated and debris subtracted SPF values both had a greater degree of correlation than ungated values with clinicopathologic factors of known prognostic significance.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1990        PMID: 1690316

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  9 in total

1.  Antiproliferative effect of peripheral benzodiazepine receptor antagonist PK11195 in rat mammary tumor cells.

Authors:  Sutapa Mukhopadhyay; Bobby Guillory; Shyamali Mukherjee; Salil K Das
Journal:  Mol Cell Biochem       Date:  2010-03-04       Impact factor: 3.396

2.  Comparison of PCNA/cyclin immunohistochemistry with flow cytometric S-phase fraction in breast cancer.

Authors:  D W Visscher; S Wykes; J Kubus; J D Crissman
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

3.  DNA ploidy, S-phase, and steroid receptors in more than 127,000 breast cancer patients.

Authors:  C R Wenger; S Beardslee; M A Owens; G Pounds; T Oldaker; P Vendely; M R Pandian; D Harrington; G M Clark; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

Review 4.  DNA Cytometry Consensus Conference. DNA flow cytometry and breast cancer.

Authors:  D W Hedley
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

5.  S-phase determination of immunoselected cytokeratin-containing breast cancer cells improves the prediction of recurrence.

Authors:  S Wingren; O Stål; J Carstensen; X F Sun; B Nordenskjöld
Journal:  Breast Cancer Res Treat       Date:  1994-02       Impact factor: 4.872

6.  The relationship of cytoplasmic intermediate filaments and membrane antigens with hormone receptors, nuclear staining density, and mode of stromal invasion in human breast cancer.

Authors:  C D Bell; E M Tischler; G J Laroye
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

7.  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

8.  Silencing of E2F3 suppresses tumor growth of Her2+ breast cancer cells by restricting mitosis.

Authors:  Miyoung Lee; Gabriela Oprea-Ilies; Harold I Saavedra
Journal:  Oncotarget       Date:  2015-11-10

9.  Flow cytometric analysis of S-phase fraction in breast carcinomas using gating on cells containing cytokeratin. South East Sweden Breast Cancer Group.

Authors:  S Wingren; O Stål; B Nordenskjöld
Journal:  Br J Cancer       Date:  1994-03       Impact factor: 7.640

  9 in total

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