Fc-mediated anomalous biodistribution of therapeutic antibodies in immunodeficient mouse models Journal Article


Authors: Sharma, S. K.; Chow, A.; Monette, S.; Vivier, D.; Pourat, J.; Edwards, K. J.; Dilling, T. R.; Abdel-Atti, D.; Zeglis, B. M.; Poirier, J. T.; Lewis, J. S.
Article Title: Fc-mediated anomalous biodistribution of therapeutic antibodies in immunodeficient mouse models
Abstract: A critical benchmark in the development of antibody-based therapeutics is demonstration of efficacy in preclinical mouse models of human disease, many of which rely on immunodeficient mice. However, relatively little is known about how the biology of various immunodeficient strains impacts the in vivo fate of these drugs. Here we used immunoPET radiotracers prepared from humanized, chimeric, and murine mAbs against four therapeutic oncologic targets to interrogate their biodistribution in four different strains of immunodeficient mice bearing lung, prostate, and ovarian cancer xenografts. The immunodeficiency status of the mouse host as well as both the biological origin and glycosylation of the antibody contributed significantly to the anomalous biodistribution of therapeutic monoclonal antibodies in an Fc receptor-dependent manner. These findings may have important implications for the preclinical evaluation of Fc-containing therapeutics and highlight a clear need for biodistribution studies in the early stages of antibody drug development. Significance: Fc/FcgR-mediated immunobiology of the experimental host is a key determinant to preclinical in vivo tumor targeting and efficacy of therapeutic antibodies. © 2018 American Association for Cancer Research.
Journal Title: Cancer Research
Volume: 78
Issue: 7
ISSN: 0008-5472
Publisher: American Association for Cancer Research  
Date Published: 2018-04-01
Start Page: 1820
End Page: 1832
Language: English
DOI: 10.1158/0008-5472.can-17-1958
PROVIDER: scopus
PMCID: PMC5882577
PUBMED: 29363548
DOI/URL:
Notes: Article -- Export Date: 2 July 2018 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Sebastien Monette
    148 Monette
  2. Brian Zeglis
    118 Zeglis
  3. Jason S Lewis
    456 Lewis
  4. John Thomas Poirier
    82 Poirier
  5. Arthur W Chow
    17 Chow
  6. Sai Kiran   Sharma
    25 Sharma
  7. Kimberly Joanna Edwards
    17 Edwards
  8. Jacob   Pourat
    9 Pourat
  9. Thomas R Dilling
    11 Dilling