Targeted gadofullerene for sensitive magnetic resonance imaging and risk-stratification of breast cancer

Zheng Han, Xiaohui Wu, Sarah Roelle, Chuheng Chen, William P. Schiemann and Zheng-Rong Lu ()
Additional contact information
Zheng Han: Case Western Reserve University
Xiaohui Wu: Case Western Reserve University
Sarah Roelle: Case Western Reserve University
Chuheng Chen: Case Western Reserve University
William P. Schiemann: Case Western Reserve University
Zheng-Rong Lu: Case Western Reserve University

Nature Communications, 2017, vol. 8, issue 1, 1-9

Abstract: Abstract Molecular imaging of cancer biomarkers is critical for non-invasive accurate cancer detection and risk-stratification in precision healthcare. A peptide-targeted tri-gadolinium nitride metallofullerene, ZD2-Gd3N@C80, is synthesised for sensitive molecular magnetic resonance imaging of extradomain-B fibronectin in aggressive tumours. ZD2-Gd3N@C80 has superior r 1 and r 2 relaxivities of 223.8 and 344.7 mM−1 s−1 (1.5 T), respectively. It generates prominent contrast enhancement in aggressive MDA-MB-231 triple negative breast cancer in mice at a low dose (1.7 µmol kg−1, 1 T), but not in oestrogen receptor-positive MCF-7 tumours. Strong tumour contrast enhancement is consistently observed in other triple negative breast cancer models, but not in low-risk slow-growing tumours. The dose of the contrast agent for effective molecular MRI is only slightly higher than that of ZD2-Cy5.5 (0.5 µmol kg−1) in fluorescence imaging. These results demonstrate that high-sensitivity molecular magnetic resonance imaging with ZD2-Gd3N@C80 may provide accurate detection and risk-stratification of high-risk tumours for precision healthcare of breast cancer.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-017-00741-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00741-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-017-00741-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().