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Detection of Leu-19 (CD56) antigen on human thyroid epithelial cells by an immunohistochemical method.

Authors: K, Migita; K, Eguchi; A, Kawakami; H, Ida; T, Fukuda; A, Kurata; N, Ishikawa; +2 Authors

Detection of Leu-19 (CD56) antigen on human thyroid epithelial cells by an immunohistochemical method.

Abstract

The Leu-19 (CD56) antigen, which is recognized by anti-Leu-19 and NKH-1 monoclonal antibody, is a 200,000-220,000 molecular weight (MW) glycoprotein that is expressed predominantly on human natural killer (NK) cells that mediate major histocompatibility complex (MHC)-unrestricted cytotoxicity. However, cross-reactivity of this antibody has been observed in lung cancer, and in muscle and neural tissues. In the present study, we used the immunoperoxidase technique to examine the expression of Leu-19 antigen in human thyroid epithelial cells. In normal thyroid tissues (n = 4), thyroid tissues from Graves' patients (n = 7) and benign thyroid tumours (n = 7), thyroid epithelial cells expressed Leu-19 antigen in all cases. In thyroid papillary carcinoma (n = 6) there was no expression in four cases. This staining pattern of anti-Leu-19 antibody is similar to that of anti-thyroid peroxidase antibody. These findings implicate that the expression of Leu-19 antigen is closely related to the differentiation of thyroid epithelial cells.

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Keywords

Antigens, Differentiation, T-Lymphocyte, Immunoenzyme Techniques, Killer Cells, Natural, Antigens, CD, Antigens, Neoplasm, Thyroid Gland, Humans, Thyroid Neoplasms, Thyroid Diseases, CD56 Antigen, Graves Disease

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Average
Top 10%
Top 10%
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