In vivo diagnosis of epidermal growth factor receptor expression using molecular imaging with a cocktail of optically labeled monoclonal antibodies

Tristan Barrett, Yoshinori Koyama, Yukihiro Hama, Gregory Ravizzini, Soo Shin In, Beom Su Jang, Chang H. Paik, Yasuteru Urano, Peter L. Choyke, Hisataka Kobayashi

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Purpose: Epidermal growth factor receptors (EGFR) play animportant role in tumorigenesis and, therefore, have become targets for new molecular therapies. Here, we use a "cocktail" of optically labeled monoclonal antibodies directed against EGFR-1 (HER1) and EGFR-2 (HER2) to distinguish tumors by their cell surface expression profiles. Experimental Design: In vivo imaging experiments were done in tumor-bearingmice following s.c. injection of A431 (overexpressing HER1), NIH3T3/HER2+ (overexpressing HER2), and Balb3T3/DsRed (non-expression control) cell lines. After tumor establishment, a cocktail of optically labeled antibodies: Cy5.5-labeled cetuximab (anti-HER1) and Cy7-labeled trastuzumab (anti-HER2) was i.v. injected. In vivo and ex vivo fluorescence imaging was done. For comparison with radionuclide imaging, experiments were undertaken using 111Indium-labeled antibodies. Additionally, a "blinded" diagnostic study was done for mice bearing one tumor type. Results: In vivo spectral fluorescent molecular imaging of 14 mice with three tumor types clearly differentiated tumors using the cocktail of optically labeled antibodies both in vivo and ex vivo. Twenty-four hours after injection, A431 and NIH3T3/HER2+ tumors were detected distinctly by their peak on Cy5.5 and Cy7 spectral images, respectively; radionuclide imaging was unable to clearly distinguish tumors at this time point. In blinded single tumor experiments, investigators were able to correctly diagnose a total of 40 tumors. Conclusion: An in vivo imaging technique using an antibody cocktail simultaneously differentiated two tumors expressing distinct EGFRs and enabled an accurate characterization of each subtype.

Original languageEnglish (US)
Pages (from-to)6639-6648
Number of pages10
JournalClinical Cancer Research
Volume13
Issue number22
DOIs
StatePublished - Nov 15 2007
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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