Xiaoxuan Zhou1, Hongjie Hu1, Yue Qian1, Yuxin Han2, Mingzhou Ye2, Jianbin Tang2, Peipei Pang3, and Jun Yang3
1Radiology, Sir Run Run Shaw Hospital, Zhejiang, People's Republic of China, 2Chemical and Biological Engineering, Zhejiang University, Zhejiang, People's Republic of China, 3Life Science, GE healthcare, Shanghai, People's Republic of China
Synopsis
Tumor metastasis
accounts for the related mortality, and precise diagnostic imaging of distant metastasis
plays a significant role in clinical administration and treatment plan. Enhanced
MRI with small-molecule contrast agent (CA) is a favorite imaging modality. However,
small-molecule CA has some unsatisfied flaws such as short blood circulation
time, low relaxivity and non-specificity. In this study, we synthesized a macromolecular
CA with high relaxivity and long blood circulation time, and assessed early
liver metastasis with enhanced MRI using this macromolecular CA.
Purpose
To
develop a biodegradable dendrimer-based macromolecular CA to improve the detection
sensitivity of MRI in liver metastasis.Introduction
Metastasis
is one of the main reasons for cancer-associated mortality1 and needs accurate diagnosis in time. Magnetic Resonance imaging (MRI), with small-molecule
contrast agents (e.g. DTPA-Gd and DOTA-Gd) is one of the most important imaging
modalities2.
However, these small-molecule agents have some limitations resulting in low efficient
detection in small tumors and early metastasis. Macro-molecular CAs,
which are polymers conjugated with Gd-chelates, have higher relaxivity and longer
blood circulation time. In addition, many dendritic CAs(DCAs) are currently based
on non-biodegradable dendrimers including polyamidoamine (PAMAM) and
polypropyleneimine (PPI) that cannot be excreted effectively from the body and
be metabolized by cells releasing toxic Gd3+ ions3. In
our present study, we developed a novel biodegradable dendrimer with high relaxivity
and prolonged blood circulation time to detect liver metastasis.Method
A biodegradable macromolecular CA, G4-MOP-DTPA-Gd, was synthesized with β-CD core (β-cyclodextrin) and modified
with DTPA-Gd. The size of CA, molecular weight and relaxivity, were measured,
and in-vitro MRI and degradation experiments were performed. A mice model of liver
metastasis was constructed by injecting 4T1-Luc breast cancer cells
(1×106 in 50μL PBS) into the parenchyma of spleen of
6-8 week-old female BALB/c mice. Images were acquired with a fat suppression T1-weighted
FSE using a 3T MRI system (Discovery 750w 3T, GE Healthcare). MRI studies were performed at
pre-injection and 5, 30, 60, 120 min post injection of CA. Contrast to noise
ratio (CNR) and tumor/liver enhancement ratio were calculated and plotted
with time. The mice were killed immediately after serial examinations, fixed in
formaldehyde and then sliced in the same planes as the MR sectional images.Results
and discussion
A novel MRI
biodegradable dendritic CA, G4-MOP-DTPA-Gd, with a molecular weight of 337KDa was
successfully synthesized (figure 1). G4-MOP-DTPA-Gd showed a longer half-life in blood
circulation and higher longitudinal relaxivity (r1, 15.7 mM-1s-1)
(figure 2). The CNR of the intrahepatic
metastasis using G4-MOP-DTPA-Gd had a significant increase, and was
much higher than that of Magnevist (figure
3). The images obtained 60 min and 120min after injection showed a gradual
increase in signal intensity in the metastatic tumor at the periphery of the
liver(figure 5). The MR images enhanced
with G4-MOP-DTPA-Gd at 30min post injection correlated well to the
corresponding histological section(figure
5).Conclusion
G4-MOP-DTPA-Gd,
a positive CA of liver, had higher CNR in tumor lesions, allowing MR imaging with
earlier detection of liver metastasis. In addition, the
post-injection images with this DCA were more useful to detect smaller tumors
at the periphery of the liver lobe and directly to separate these from hepatic
vessels. A biodegradable DCA with less
influence of normal hepatic function may help to clear away some obstacles from
basic to clinical research.Acknowledgements
No acknowledgement found.References
1. Weis C, Blank F, West
A, et al. Labeling of Cancer Cells with Magnetic
Nanoparticles for Magnetic Resonance Imaging. Magn. Reson. Med. 2014;
71:1895-1905.
2. Bae MS, Shin SU, Ryu HS, et
al. Pretreatment MR imaging features of triple-negative breast cancer:
association with response to neoadjuvant chemotherapy and recurrence-free
survival. Radiology 2016; 281, 392-400.
3. Tang
J, Sheng Y, Hu H, Shen Y. Macromolecular MRI contrast agents: Structures, properties
and applications. Progress in Polymer Science 2013; 38, 462-502.