Literature DB >> 26721404

Towards the Molecular Imaging of Prostate Cancer Biomarkers Using Protein-based MRI Contrast Agents.

Fan Pu, Shenghui Xue, Jingjuan Qiao, Anvi Patel, Jenny J Yang1.   

Abstract

Prostate cancer is the most common cancer for man with a high mortality rate due to a lack of non-invasive accurate and sensitive molecular diagnostic methods. The molecular imaging of cancer biomarkers using MRI with its spatial and temporal resolution, however, is largely limited by the lack of contrast agents with high sensitivity, targeting specificity and deep tumor penetration. In this review, we will first overview the current stage of prostate cancer diagnosis and then review prostate cancer biomarkers and related imaging techniques. Since biomarker targeting moieties are essential for molecular imaging, we will use prostate-specific membrane antigen (PSMA) as an example to discuss different methods to characterize the interaction between biomarker and targeting moieties. At the end, we will review current progress of the development of targeted protein-based MRI contrast agents (ProCAs) for prostate cancer biomarkers with improved relaxivity and targeting capability.

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Year:  2016        PMID: 26721404     DOI: 10.2174/1389203717666160101123725

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  3 in total

1.  Designing Calcium-Binding Proteins for Molecular MR Imaging.

Authors:  Mani Salarian; Shenghui Xue; Oluwatosin Y Ibhagui; Jenny J Yang
Journal:  Methods Mol Biol       Date:  2019

2.  ProCA1.GRPR: a new imaging agent in cancer detection.

Authors:  Fan Pu; Shenghui Xue; Jenny J Yang
Journal:  Biomark Med       Date:  2016-04-13       Impact factor: 2.851

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

Authors:  Fan Pu; Mani Salarian; Shenghui Xue; Jingjuan Qiao; Jie Feng; Shanshan Tan; Anvi Patel; Xin Li; Kenza Mamouni; Khan Hekmatyar; Juan Zou; Daqing Wu; Jenny J Yang
Journal:  Nanoscale       Date:  2016-03-10       Impact factor: 7.790

  3 in total

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