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Inherently multimodal nanoparticle-driven tracking and real-time delineation of orthotopic prostate tumors and micrometastases.

Abstract
Prostate cancer is the most common cancer among men and the second cause of male cancer-related deaths. There are currently three critical needs in prostate cancer imaging to personalize cancer treatment: (1) accurate intraprostatic imaging for multiple foci and extra-capsular extent; (2) monitoring local and systemic treatment response and predicting recurrence; and (3) more sensitive imaging of occult prostate cancer bone metastases. Recently, our lab developed porphysomes, inherently multimodal, all-organic nanoparticles with flexible and robust radiochemistry. Herein, we validate the first in vivo application of (64)Cu-porphysomes in clinically relevant orthotopic prostate and bony metastatic cancer models. We demonstrate clear multimodal delineation of orthotopic tumors on both the macro- and the microscopic scales (using both PET and fluorescence) and sensitively detected small bony metastases (<2 mm). The unique and multifaceted properties of porphysomes offers a promising all-in-one prostate cancer imaging agent for tumor detection and treatment response/recurrence monitoring using both radionuclide- and photonic-based strategies.
AuthorsTracy W Liu, Thomas D Macdonald, Cheng S Jin, Joseph M Gold, Robert G Bristow, Brian C Wilson, Gang Zheng
JournalACS nano (ACS Nano) Vol. 7 Issue 5 Pg. 4221-32 (May 28 2013) ISSN: 1936-086X [Electronic] United States
PMID23544841 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.)
Chemical References
  • Copper Radioisotopes
  • Lipid Bilayers
  • Porphyrins
Topics
  • Animals
  • Biological Transport
  • Cell Line, Tumor
  • Copper Radioisotopes
  • Humans
  • Lipid Bilayers (chemistry)
  • Male
  • Mice
  • Mice, Nude
  • Multimodal Imaging
  • Nanoparticles (chemistry)
  • Neoplasm Micrometastasis (diagnostic imaging)
  • Porphyrins (chemistry, metabolism, pharmacokinetics)
  • Positron-Emission Tomography
  • Prostatic Neoplasms (diagnostic imaging, metabolism, pathology)
  • Time Factors
  • Tomography, X-Ray Computed

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