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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Cancer
Article . 1985 . Peer-reviewed
License: Wiley Online Library User Agreement
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PATTERNS OF EXPRESSION OF KERATIN 19 AS DETECTED WITH MONOCLONAL ANTIBODIES IN HUMAN BREAST TISSUES AND TUMOURS

Authors: J, Bartek; J, Taylor-Papadimitriou; N, Miller; R, Millis;

PATTERNS OF EXPRESSION OF KERATIN 19 AS DETECTED WITH MONOCLONAL ANTIBODIES IN HUMAN BREAST TISSUES AND TUMOURS

Abstract

The monoclonal antibodies BA 16 and BA 17 directed to different epitopes on human keratin 19 have been tested for their reaction with normal breast and with benign and malignant breast lesions and associated tissue. In Western blots of gel‐separated extracts of fibroadenomas, malignant tumours or normal mammary epithelial cells, the antibodies reacted with only one component of 40 kd molecular weight. Immunoperoxidase staining of sections of normal breast tissues showed all basal cells and a few luminal cells to be unstained by the antibodies. The distribution of the unstained (keratin 19−) luminal cells in the mammary tree is consistent with that of cells with the proliferative potential to give rise to the growth of terminal ductal lobular units (TDLU) seen at pregnancy. A total of 42 benign and 141 malignant lesions were stained with the antibodies, and a clear difference in staining pattern was seen between the benign and malignant tumours. All but 3 of the benign lesions showed a heterogeneous staining pattern with 5–50% unstained cells. In contrast, the cancer cells in 106/116 invasive primary tumours and in all 21 metastatic lesions examined showed a homogeneously positive reaction with antibodies BA16 and BA17: the malignant cells in 4 cases of Paget's disease also showed homogeneously positive staining with the antibody. In the malignant tumours, the observed homogeneity in expression of keratin 19 was confined to the malignant cells; tumour‐associated normal tissue and benign proliferative lesions contained keratin 19−cells. Seven pure in situ tumours were examined and 5 showed the homogeneous pattern of staining characteristic of invasive tumours while 2 contained a high number of keratin 19− cells. A general model is presented to explain the presence of keratin 19− cells in benign proliferation and the dominance of keratin 19− cells in invasive carcinoma.

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Keywords

Stem Cells, Antibodies, Monoclonal, Breast Neoplasms, Cell Line, Immunoenzyme Techniques, Mice, Phenotype, Animals, Humans, Keratins, Female, Breast

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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!
164
Top 10%
Top 1%
Top 10%
Related to Research communities
Cancer Research
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