Immunofluorescent monoclonal antibody detection of breast cancer in bone marrow: Sensitivity in a model system Journal Article


Authors: Osborne, M. P.; Asina, S.; Wong, G. Y.; Old, L. J.; Cote, R. J.
Article Title: Immunofluorescent monoclonal antibody detection of breast cancer in bone marrow: Sensitivity in a model system
Abstract: We have previously shown that occult micrometastases can be detected in the bone marrow of breast cancer patients using a panel of epithelial specific monoclonal antibodies in an indirect immunofluorescent assay. The sensitivity of this assay has been examined using cells from an established human breast cancer cell line (MCF-7) mixed with normal bone marrow at various dilutions from 400 cancer cells/106 marrow cells (400:116) to 10-106. MCF-7 cells were detected at the lowest concentration studied, namely 10:106. The number of fluorescent labeled MCF-7 cells counted at each concentration was related to the concentration by a simple nonlinear statistical model. At the concentration of 10:106, the model shows that this technique has the sensitivity to detect between two and four MCF-7 cells 95% of the time. Moreover, by extrapolation, the model predicts that even at the very low concentration of 2:106, there is a 95% chance of detecting one cancer cell. Therefore, this assay may be a very sensitive method for detecting cancer cells in the bone marrow in vivo. © 1989, American Association for Cancer Research. All rights reserved.
Keywords: human cell; methodology; breast cancer; biological model; statistics; bone marrow; tumor cells, cultured; breast neoplasms; fluorescent antibody technique; antibodies, monoclonal; tumor cell line; neoplasm metastasis; cytochemistry; bone marrow metastasis; human; female; priority journal; support, non-u.s. gov't
Journal Title: Cancer Research
Volume: 49
Issue: 9
ISSN: 0008-5472
Publisher: American Association for Cancer Research  
Date Published: 1989-05-01
Start Page: 2510
End Page: 2513
Language: English
PUBMED: 2650865
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 14 April 2020 -- Source: Scopus
Citation Impact
MSK Authors
  1. Lloyd J Old
    593 Old
  2. George Y. Wong
    89 Wong
  3. Michael P. Osborne
    61 Osborne
  4. Richard J. Cote
    27 Cote