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First published online January 16, 2008
J Nucl Med 2008, doi:10.2967/jnumed.107.047167
© 2008 by Society of Nuclear Medicine
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Gastrin-Releasing Peptide Receptor Imaging in Human Breast Carcinoma Versus Immunohistochemistry

Christophe Van de Wiele 1*, Philippe Phonteyne 1, Patrick Pauwels 2, Ingeborg Goethals 3, Rudi Van den Broecke 4, Veronique Cocquyt 5, and Rudi Andre Dierckx 1

1 Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium; Department of Nuclear Medicine and Molecular Imaging, University Medical Centre, Groningen, The Netherlands
2 Department of Anatomopathology, Ghent University Hospital, Ghent, Belgium
3 Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
4 Division of Gynaecological Oncology, Ghent University Hospital, Ghent, Belgium
5 Department of Medical Oncology, Ghent University Hospital, Ghent, Belgium

* To whom correspondence should be addressed. E-mail: christophe.vandewiele{at}ugent.be.


   Abstract

This study reports on the uptake of 99mTc-RP527 by human breast carcinoma and its relationship to gastrin-releasing peptide receptor (GRP-R) expression as measured by immunohistochemistry (IHC). Methods: Nine patients referred because of a clinical diagnosis suggestive of breast carcinoma and 5 patients with tamoxifen-resistant bone-mestastasized breast carcinoma underwent 99mTc-RP527 scintigraphy. The findings were compared with routine staging examinations in all patients and with routine histology and IHC GRP-R staining in the first 9 patients. All 9 patients with suspected breast lesions were tumor positive. Results: The uptake of 99mTc-RP527 was evident in the primary tumor in 8 of 9 patients and in involved lymph nodes and part of the distant metastasis limited to the bone when present. 99mTc-RP527 uptake was not found in any of the tamoxifen-resistant patients. Conclusion: Uptake by primary breast carcinoma was significantly correlated with the presence of GRP-Rs as assessed by means of IHC.




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J. C. Reubi and H. R. Maecke
Peptide-Based Probes for Cancer Imaging
J. Nucl. Med., November 1, 2008; 49(11): 1735 - 1738.
[Abstract] [Full Text] [PDF]




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