Literature DB >> 31542517

Precision detection of liver metastasis by collagen-targeted protein MRI contrast agent.

Mani Salarian1, Hua Yang2, Ravi Chakra Turaga3, Shanshan Tan1, Jingjuan Qiao1, Shenghui Xue1, Zongxiang Gui1, Guangda Peng3, Hongwei Han3, Pardeep Mittal4, Hans E Grossniklaus2, Jenny J Yang5.   

Abstract

The Liver is the most common organ for metastasis for various cancers, including uveal melanoma, the most common primary intraocular tumor. Uveal melanoma metastasizes to the liver in ~90% of patients, and results in death in almost all cases due to late detection and lack of effective treatment. There is a pressing unmet medical need to develop MRI contrast agents and imaging methodologies with desired sensitivity and specificity to overcome the high heterogeneous background and in vivo properties as well as reduced toxicity. Herein, we report the development of a collagen targeting protein contrast agent (ProCA32.collagen1), since collagen is a diagnostic biomarker and therapeutic target for many types of primary and metastatic cancers and the tumor microenvironment. In addition to a strong affinity to collagen I, ProCA32.collagen1 possesses high relaxivities (r1 and r2 are 68.0 ± 0.25 and 100.0 ± 0.32 mM-1 s-1 at 1.4 T, respectively, and 42.6 ± 1.0 and 217 ± 2.4 mM-1s-1 at 7.0 T per particle). ProCA32.collagen1 also has strong serum stability against degradation, resistance to transmetallation, and 102 and 1013-fold higher metal selectivity for Gd3+ over Ca2+ and Zn2+, respectively, compared to clinical contrast agents. ProCA32.collagen1 does not exhibit any cell toxicity for various cell lines. Sensitive detection of liver lesions in animal models can be achieved using multiple imaging methodologies, taking advantage of the dual relaxation property of ProCA32.collagen1. ProCA32.collagen1 enables sensitive and early stage detection of hepatic micrometastasis as small as 0.144 mm2 and two different tumor growth patterns. Further development of ProCA32.collagen1 has the potential to greatly facilitate non-invasive, early detection and staging of primary and metastatic liver cancers, and devising effective treatments.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Collagen I; Liver metastasis; Magnetic resonance imaging; Protein contrast agent

Year:  2019        PMID: 31542517     DOI: 10.1016/j.biomaterials.2019.119478

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  5 in total

1.  Non-invasive detection and complementary diagnosis of liver metastases via chemokine receptor 4 imaging.

Authors:  Hua Yang; Shanshan Tan; Jingjuan Qiao; Yiting Xu; Zongxiang Gui; Yuguang Meng; Bin Dong; Guangda Peng; Oluwatosin Y Ibhagui; Weiping Qian; Jimmy Lu; Zezhong Li; Guimin Wang; Jinping Lai; Lily Yang; Hans E Grossniklaus; Jenny J Yang
Journal:  Cancer Gene Ther       Date:  2022-02-10       Impact factor: 5.854

Review 2.  Strategies for Efficient Targeting of Tumor Collagen for Cancer Therapy.

Authors:  Silvia Baldari; Francesca Di Modugno; Paola Nisticò; Gabriele Toietta
Journal:  Cancers (Basel)       Date:  2022-09-27       Impact factor: 6.575

Review 3.  Design of Calcium-Binding Proteins to Sense Calcium.

Authors:  Shen Tang; Xiaonan Deng; Jie Jiang; Michael Kirberger; Jenny J Yang
Journal:  Molecules       Date:  2020-05-04       Impact factor: 4.411

4.  Assessment of the hepatic tumor extracellular matrix using elastin-specific molecular magnetic resonance imaging in an experimental rabbit cancer model.

Authors:  Sarah Keller; Tabea Borde; Julia Brangsch; Carolin Reimann; Avan Kader; Daniel Schulze; Rebecca Buchholz; Jan O Kaufmann; Uwe Karst; Eyk Schellenberger; Bernd Hamm; Marcus R Makowski
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

Review 5.  Extracellular vesicles in ovarian cancer chemoresistance, metastasis, and immune evasion.

Authors:  Wanjia Tian; Ningjing Lei; Junying Zhou; Mengyu Chen; Ruixia Guo; Bo Qin; Yong Li; Lei Chang
Journal:  Cell Death Dis       Date:  2022-01-18       Impact factor: 8.469

  5 in total

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