Analytical Cellular Pathology

Analytical Cellular Pathology / 1999 / Article

Open Access

Volume 19 |Article ID 459158 | https://doi.org/10.1155/1999/459158

Helma Motherby, Mary Kube, Nikolaus Friedrichs, Bahram Nadjari, Kristiane Knops, Andreas Donner, Betty Baschiera, Peter Dalquen, Alfred Böcking, "Immunocytochemistry and DNA-Image Cytometry in Diagnostic Effusion Cytology I. Prevalence of Markers in Tumour Cell Positive and Negative Smears", Analytical Cellular Pathology, vol. 19, Article ID 459158, 14 pages, 1999. https://doi.org/10.1155/1999/459158

Immunocytochemistry and DNA-Image Cytometry in Diagnostic Effusion Cytology I. Prevalence of Markers in Tumour Cell Positive and Negative Smears

Received18 Feb 1999
Accepted10 Jun 1999

Abstract

To determine the prevalence of immunocytochemical positivities for a panel of antibodies in benign and malignant cells in effusions with known follow‐up in order to use these as diagnostic markers. Besides their ability to identify malignant epithelial cells their contribution to the differential diagnosis between carcinomatoses and mesotheliomas was investigated. 101 tumour cell positive and 53 negative effusions were stained with 12 different antibodies. Results were scored semiquantitatively per cell type. Furthermore, DNA‐image cytometry was performed. While prevalence of Ber‐EP4 positivity was 95.4% in metastatic carcinoma cells, it was 0% in those from mesotheliomas. No cell type reacted with this marker in benign effusions (0%). Ber‐EP4 correctly differentiated between metastatic carcinoma and mesothelioma in 98.0%. Prevalence of DNA‐aneuploidy was 95.4% in metastatic carcinomas, 57.1% in mesotheliomas and 0% in reactive effusions. Combining immunocytochemistry (Ber‐EP4 positivity) and DNA‐image cytometry (aneuploidy) results in a 100% detection of metastatic carcinomatoses and 57.1% of mesotheliomas. Both markers furthermore allowed a correct differentiation of these entities in 98%.

Copyright © 1999 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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