Literature DB >> 1356517

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

D W Visscher1, S Wykes, J Kubus, J D Crissman.   

Abstract

Kinetic index determined by enumeration of neoplastic cells positive for proliferative cell nuclear antigen (PCNA) in 70 breast carcinomas (avidin-biotin immunoperoxidase technique) was compared to synthesis-phase fraction (S-phase, or SPF) values obtained by flow cytometry (FCM) using a multiparametric, 2 color method (dual-label propidium iodide/cytokeratin-FITC). The percent PCNA positive tumor cells (12.5% mean, range 1-28%) was significantly greater in aneuploid tumors (14.2% mean, N = 35) compared to diploid range tumors (10.7% mean, N = 35) (p less than 0.05), and was correlated with SPF derived from ungated DNA histograms (12.5% mean +/- 5.5%, r = 0.45, p less than 0.001). Marginally stronger statistical correlations were observed between the PCNA index and SPF values calculated from cytokeratin-gated (15.8% mean, r = 0.53, p less than 0.001) DNA histograms or from SPF values obtained following linear baseline debris subtraction (mean = 8.1%, r = 0.48, p less than 0.001). Significant associations were identified between PCNA index and prognostically important clinicopathologic parameters including nuclear grade (p = 0.014), presence of necrosis (p = 0.005), and angiolymphatic invasion (p = 0.003). We conclude: 1) PCNA index is comparable to FCM SPF and correlates with factors of known prognostic importance in carcinoma of the breast; 2) baseline debris and contaminating events derived from non-epithelial cells both represent significant artifacts in proliferative fraction estimates derived from FCM DNA histograms; and 3) multiparametric analysis may represent one means of improving the specificity and clinical value of FCM SPF determinations.

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Year:  1992        PMID: 1356517     DOI: 10.1007/bf01833340

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


  25 in total

1.  A comparison between bromodeoxyuridine and 3H thymidine labeling in human breast tumors.

Authors:  F M Waldman; K Chew; B M Ljung; W Goodson; J Hom; L A Duarte; H S Smith; B Mayall
Journal:  Mod Pathol       Date:  1991-11       Impact factor: 7.842

2.  Comparison of S-phase fractions measured by flow cytometry and autoradiography in human transplant tumors.

Authors:  G Feichter; W Czech; D Haag; K Goerttler; G Futterman; H Loehrke; U Abel
Journal:  Cytometry       Date:  1988-11

3.  The Multivariate Prognostic Index and nuclear DNA content are independent prognostic factors in primary breast cancer patients.

Authors:  J C van der Linden; J Lindeman; J P Baak; C J Meijer; C J Herman
Journal:  Cytometry       Date:  1989-01

4.  Thymidine labeling index, flow cytometric S-phase measurement, and DNA index in human tumors. Comparisons and correlations.

Authors:  J S Meyer; M D Coplin
Journal:  Am J Clin Pathol       Date:  1988-05       Impact factor: 2.493

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

Authors:  D W Visscher; R J Zarbo; G Jacobsen; A Kambouris; G Talpos; W Sakr; J D Crissman
Journal:  Lab Invest       Date:  1990-03       Impact factor: 5.662

Review 6.  Prognostic significance of morphological parameters and flow cytometric DNA analysis in carcinoma of the breast.

Authors:  D W Visscher; R J Zarbo; K A Greenawald; J D Crissman
Journal:  Pathol Annu       Date:  1990

7.  Assessment of tumor cell kinetics by immunohistochemistry in carcinoma of breast.

Authors:  J F McGurrin; M I Doria; P J Dawson; T Karrison; H O Stein; W A Franklin
Journal:  Cancer       Date:  1987-05-15       Impact factor: 6.860

8.  DNA flow cytometric analysis of primary operable breast cancer. Relation of ploidy and S-phase fraction to outcome of patients in NSABP B-04.

Authors:  B Fisher; N Gunduz; J Costantino; E R Fisher; C Redmond; E P Mamounas; R Siderits
Journal:  Cancer       Date:  1991-10-01       Impact factor: 6.860

9.  Cytometric characterization and clinical course of breast cancer diagnosed in a population-based screening program.

Authors:  T Hatschek; G Fagerberg; O Stål; S Sullivan; J Carstensen; O Gröntoft; B Nordenskjöld
Journal:  Cancer       Date:  1989-09-01       Impact factor: 6.860

10.  Prediction of early course of breast carcinoma by thymidine labeling.

Authors:  J S Meyer; E Friedman; M M McCrate; W C Bauer
Journal:  Cancer       Date:  1983-05-15       Impact factor: 6.860

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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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