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Monoclonal antibodies that react with epithelial membrane antigen
M G Ormerod1, K Steele, P A Edwards
1Institute of Cancer Research, Royal Cancer Hospital, Haddow Laboratories, Sutton, Surrey.
Journal of Experimental Pathology
|January 1, 1984
Summary
Three monoclonal antibodies targeting human milk fat globule membrane antigens show similar tissue distributions, reacting with epithelial membrane antigen. Differences suggest they bind distinct epitopes on the same molecule, with diagnostic pathology applications.
Area of Science:
- Biochemistry
- Immunology
- Oncology
Background:
- Monoclonal antibodies LICR.LON.M8, HMFG1, and HMFG2 target human milk fat globule membrane antigens.
- Previous studies indicated similar tissue distributions for these antibodies' antigenic determinants.
- These distributions resemble those of polyclonal sera against epithelial membrane antigen.
Purpose of the Study:
- To investigate the reactivity of three monoclonal antibodies with epithelial membrane antigen.
- To analyze the distribution of antigenic determinants on human breast cells using immunofluorescence.
- To explore the potential diagnostic applications of these antibodies in tumor pathology.
Main Methods:
- Radioimmunoassay to confirm antibody reactivity with epithelial membrane antigen.
- Immunofluorescent staining of human breast cell cultures.
- Comparative analysis of antibody binding patterns.
Main Results:
- All three monoclonal antibodies were confirmed to react with epithelial membrane antigen via radioimmunoassay.
- Immunofluorescent staining revealed heterogeneous distribution patterns for the antibodies on human breast cells.
- Despite overall similarities, subtle differences in antibody distribution suggested binding to distinct epitopes on the same molecule.
Conclusions:
- The three monoclonal antibodies recognize different epitopes on the epithelial membrane antigen molecule.
- These antibodies exhibit potential utility as reagents in diagnostic tumor pathology.
- Further investigation into their specificities can refine diagnostic applications.