Publication

GRPR-targeted Protein Contrast Agents for Molecular Imaging of Receptor Expression in Cancers by MRI

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Last modified
  • 02/20/2025
Type of Material
Authors
    Jenny J. Yang, Georgia State UniversityFan Pu, Georgia State UniversityJingjuan Qiao, Georgia State UniversityHua Yang, Emory UniversityAnvi Patel, Georgia State UniversityLixia Wei, Georgia State UniversityKhan Hekmatyar, University of GeorgiaMani Salarian, Georgia State UniversityHans Grossniklaus, Emory UniversityZhi-Ren Liu, Georgia State University
Language
  • English
Date
  • 2015-11-18
Publisher
  • Nature Publishing Group: Open Access Journals - Option C
Publication Version
Copyright Statement
  • © 2015, Rights Managed by Nature Publishing Group
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 2045-2322
Volume
  • 5
Start Page
  • 16214
End Page
  • 16214
Grant/Funding Information
  • This work is supported by research grants from NIH EB007268, GM62999, CA118113 (J.J.Y. and Z.R.L.), RO1CA176001, P30EY06360 (H.E.G.) and S10RR023706 (instrumentation grant for the University of Georgia Bio-Imaging Research Center).
Supplemental Material (URL)
Abstract
  • Gastrin-releasing peptide receptor (GRPR) is differentially expressed on the surfaces of various diseased cells, including prostate and lung cancer. However, monitoring temporal and spatial expression of GRPR in vivo by clinical MRI is severely hampered by the lack of contrast agents with high relaxivity, targeting capability and tumor penetration. Here, we report the development of a GRPR-targeted MRI contrast agent by grafting the GRPR targeting moiety into a scaffold protein with a designed Gd3+ binding site (ProCA1.GRPR). In addition to its strong binding affinity for GRPR (Kd = 2.7 nM), ProCA1.GRPR has high relaxivity (r1 = 42.0 mM-1s-1 at 1.5 T and 25 °C) and strong Gd3+ selectivity over physiological metal ions. ProCA1.GRPR enables in vivo detection of GRPR expression and spatial distribution in both PC3 and H441 tumors in mice using MRI. ProCA1.GRPR is expected to have important preclinical and clinical implications for the early detection of cancer and for monitoring treatment effects.
Author Notes
  • Correspondence and requests for materials should be addressed to J.J.Y. (email: jenny@gsu.edu)
Keywords
Research Categories
  • Health Sciences, Oncology
  • Health Sciences, Radiology

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