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Prostate-specific membrane antigen targeted protein contrast agents for molecular imaging of prostate cancer by MRI

  • Fan Pu
    ,
  • Mani Salarian
    ,
  • Shenghui Xue
    ,
  • Jingjuan Qiao
    ,
  • Jie Feng
    ,
  • Shanshan Tan
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Prostate-specific membrane antigen (PSMA) is one of the most specific cell surface markers for prostate cancer diagnosis and targeted treatment. However, achieving molecular imaging using non-invasive MRI with high resolution has yet to be achieved due to the lack of contrast agents with significantly improved relaxivity for sensitivity, targeting capabilities and metal selectivity. We have previously reported our creation of a novel class of protein Gd3+ contrast agents, ProCA32, which displayed significantly improved relaxivity while exhibiting strong Gd3+ binding selectivity over physiological metal ions. In this study, we report our effort in further developing biomarker-targeted protein MRI contrast agents for molecular imaging of PSMA. Among three PSMA targeted contrast agents engineered with addition of different molecular recognition sequences, ProCA32.PSMA exhibits a binding affinity of 1.1 ± 0.1 μM for PSMA while the metal binding affinity is maintained at 0.9 ± 0.1 × 10-22 M. In addition, ProCA32.PSMA exhibits r1 of 27.6 mM-1 s-1 and r2 of 37.9 mM-1 s-1 per Gd (55.2 and 75.8 mM-1 s-1 per molecule r1 and r2, respectively) at 1.4 T. At 7 T, ProCA32.PSMA also has r2 of 94.0 mM-1 s-1 per Gd (188.0 mM-1 s-1 per molecule) and r1 of 18.6 mM-1 s-1 per Gd (37.2 mM-1 s-1 per molecule). This contrast capability enables the first MRI enhancement dependent on PSMA expression levels in tumor bearing mice using both T1 and T2-weighted MRI at 7 T. Further development of these PSMA-targeted contrast agents are expected to be used for the precision imaging of prostate cancer at an early stage and to monitor disease progression and staging, as well as determine the effect of therapeutic treatment by non-invasive evaluation of the PSMA level using MRI.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 12668-12682 (15 pages)

Journal (Volume, Issue Number)

Nanoscale (Volume 8, Issue 25)

Publication milestones

  • Published - 07/07/2016

Publication status

Published - 07/07/2016

ISSN

2040-3364

Publication IDs

  • Scopus: 84976439439
  • PubMed: 26961235

Publication metrics

Metrics

Scopus
citations
SciVal
citations
26
SciVal
FWCI
1.32
SciVal
Author count
13
SciVal
Paper percentile
89
Fractional count
1
Fractional count
0.08
Fractional count
12
Fractional count
0.92
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Captures
28
Citation count
38

Funding Details

We thank Christopher Middleton, Drs. Roxan Ara, Nathan Yanasak and Ali Arbab for their help in MRI data collection. Drs. Mittal Pardeep, Zhi-Ren Liu for helpful discussions and Kenneth Huang, Oluwatosin Yetunde Odubade, Cassie Miller, Jesse Liu for their critical reviews of the manuscript. This work was supported by the Molecular Basis of Disease (MBD) Fellowship to M. Salarian, NIH Research Grants EB007268, GM62999, CA118113 to J. Yang, NIH Grants 1R21CA164612-01A1 and 1R41CA186498-01 to D. Wu, 1R41CA183376 and Georgia Research Alliance VentureLab to J. Yang and Inlighta Biosciences LLC, S10RR023706 (instrumentation grant) for the University of Georgia BioImaging Research Center.
FundersFunding numbers
Georgia Research Alliance VentureLab
-
InLighta Biosciences LLC
S10RR023706
Molecular Basis of Disease
-
University of Georgia BioImaging Research Center
-
NIH
1R41CA186498-01, CA118113, 1R21CA164612-01A1, GM62999, EB007268
NCI
R42CA183376