DWI and DCE-MRI for imaging diagnosis on vasculogenic mimicry and predicting responses to vascular-disrupting therapy on primary liver cancers in rats
Yewei Liu1,2, Ting Yin1, Yuanbo Feng1, Jie Yu1, Gang Huang2, Jianjun Liu2, Shaoli Song2, Johannes V Swinnen3, Guy Bormans4, Uwe Himmelreich5, Raymond Oyen6, and Yicheng Ni1

1Theragnostic Laboratory, MoSAIC, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium, 2Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Department of Nuclear Medicine, Shanghai, China, People's Republic of, 3Laboratory of Lipid Metabolism and Cancer, Department of Oncology, Faculty of Medicine, KU Leuven, Leuven, Belgium, 4Radiopharmacy, Department of Pharmaceutical and Pharmacological Sciences, Faculty of Medicine, KU Leuven, Leuven, Belgium, 5Biomedical MRI, MoSAIC, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium, 6Radiology, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium

Synopsis

Vasculogenic mimicry (VM) refers to tumor cells mimicking endothelial cells and directly participating in blood vessel formation, which appears in 2 distinctive forms, namely, the tubular type and the patterned matrix type. In liver cancer, VM is associated with tumor aggressiveness and poor clinical outcome. DENA-induced primary liver cancer model in rat appears an optimal VM model with both the 2 VM types. DWI and DCE-MRI were used to characterize and distinguish different VM types, and sensitively predicting diverse therapeutic responses to a vascular-disrupting agent CA4P.

Introduction

Vasculogenic mimicry (VM), accounting for 17.2% of hepatocellular carcinoma patients1, refers to tumor cells mimicking endothelial cells and directly participating in blood vessel formation2, which is associated with tumor aggressiveness and poor clinical outcome of liver cancer1. VM appears in 2 distinctive forms: the tubular type, with vascular lakes lined exclusively by highly invasive and genetically dysregulated tumor cells, and the patterned matrix type, with tumoral sinusoids swathed of extracellular matrix sheaths and surrounded by cancer cells which connect to endothelial cell lined blood vessels2. Vascular disrupting agents (VDAs) can specifically target the abnormal cytoskeleton in tumor endothelial cells, rapidly disrupt the existing tumor vasculature in various solid tumors and, consequently, lead to central hemorrhagic necrosis in solid tumors3,4. Dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) is capable of non-invasive quantification of vessel permeability and perfusion3,4; diffusion weighted imaging (DWI) allows detection of the Brownian motion of water molecules, which can be used as a parameter reflecting tissue viability and necrosis5. The aim of this study was two-fold: first, to investigate multiple MR imaging parameters for detection and characterization of different patterns of tumor vasculature in rat primary liver cancer model; and second, to explore the potential sensitive imaging biomarkers for early prediction of response to vascular disrupting therapy on primary live cancer.

Methods

Study design: Multifocal primary liver cancer model was constructed in male Sprague-Dawley (SD) rats by diethylnitrosamine (DENA) gavage feeding. Tumor growth was monitored by T2-weighted and T1-weighted images (T2WI, T1WI) until the largest tumor lesion reached 8 mm. Rats were then received Combretastatin A4 phosphate (CA4P) intravenously at 10 mg/kg. DWI and DCE-MRI were performed both pre- (baseline) and post- (1 hr and 12 hrs) treatment. Image acquisition and analysis: MRI was performed on a clinical 3.0T MRI scanner (Trio, Siemens, Erlangen, Germany) and a human wrist coil (MRI Devices, Waukesha, WI). The following parameters were used: T2WI (turbo spin echo turbo spin echo sequence (TSE), TR/TE = 4000/70 ms, flip angle 150°, FOV 75 × 56.25 mm2, matrix 512 × 384); T1WI (TSE, TR/TE = 626/15 ms, flip angle 160°, FOV 75 × 56.25 mm2, matrix 512 × 384); DCE-MRI (three-dimensional (3D) T1-weighted sequence, TR/TE = 7/2.46 ms, flip angle 15°, FOV 61 × 88 mm2, matrix 192 × 132) and a bolus of 0.02 mmol/kg Gd-DOTA (Gadoterate meglumine; Dotarem®, Guerbet, France) was intravenously injected after 30 pre-contrast measurements; DWI (2-dimensional SE echo-planar imaging (EPI) sequence, TR/TE = 3500/62 ms, flip angle 90°, FOV 73 × 135 mm2, matrix 96 × 52) with 8 b values (0, 50, 100, 150, 400, 600, 800 and 1000 seconds/mm2). The apparent diffusion coefficient (ADC) was calculated by a monoexponential model. Histological analysis: Paraffin-embedded tumors samples were sliced into 5 μm followed by H&E staining.

Results

Figure 1 shows both VM types occurring in DENA-induced primary liver tumors. In the tubular type (Type I), non-endothelial cell-lined enlarged blood lake was identified and tumor cells appeared poor differentiated (angioma-like vascular lakes). In the patterned matrix type (Type II), sheaths of extracellular matrix form loops surrounding packets of cancer cells and tumoral sinusoids were lined by both endothelial cells and cancer cells inserted between these endothelial cells (mosaic vessels). In baseline, the tumor lesions of type I showed higher ACDperf and ADCdiff compared with those in type II lesions. Figure 2 shows the different therapeutic responses to CA4P. The perfusion in type I lesions went up sequentially from 156 mm2/s at baseline to 219 and 264 mm2/s at 1 hr and 12 hrs post-treatment, while the tumor volume rapidly dropped by 11% at 1 hr post-treatment and partially recovered to 93% compare with the baseline at 12 hrs post-treatment, suggesting the transient and incomplete vascular shutdown effect upon CA4P treatment. In stark contrast to the type I lesions, the perfusion in type II lesions steadily dropped from 108 mm2/s at baseline to 105 and 94 mm2/s at 1 hr and 12 hrs post-treatment, indicating intratumoral necrosis was induced, while the tumor volume stayed nearly the same.

Conclusion

DENA-induced primary liver cancer in rats appears an optimal model to investigate VM in hepatoma. DWI and DCE-MRI based multiparametric imaging biomarkers help to characterize and distinguish two different types of VM in primary liver cancers in rats. ACDperf, ADCdiff and T2WI-drived tumor volume sensitively predict the therapeutic responses of vascular disrupting agent CA4P on primary liver tumors.

Acknowledgements

This work has partially been supported by KULeuven projects IOF-HB/08/009 and IOF-HB/12/018,the KU Leuven Molecular Small Animal Imaging CenterMoSAIC (KUL EF/05/08) and European Union (Asia-LinkCfP 2006-EuropeAid/123738/ACT/Multi-Proposal No.128-498/111).

References

1. Cao, Z. et al. Tumour vasculogenic mimicry is associated with poor prognosis of human cancer patients: A systemic review and meta-analysis. Eur. J. Cancer 49, 3914–3923 (2013).

2. Guzman, G. et al. A Pilot Study of Vasculogenic Mimicry Immunohistochemical Expression in Hepatocellular Carcinoma. Arch. Pathol. Lab. Med. 131, 1776 (2007).

3. Wang, H. et al. Morphological, functional and metabolic imaging biomarkers: assessment of vascular-disrupting effect on rodent liver tumours. Eur. Radiol. 20, 2013–2026 (2010).

4. Wang, H. et al. Comparison of two vascular-disrupting agents at a clinically relevant dose in rodent liver tumors with multiparametric magnetic resonance imaging biomarkers: Anticancer. Drugs 23, 12–21 (2012).

5. Sun, X. et al. Diffusion-weighted MRI of hepatic tumor in rats: Comparison between in vivo and postmortem imaging acquisitions. J. Magn. Reson. Imaging 29, 621–628 (2009).

Figures

Figure 1. T2WI, ADCmap, H&E, ADCperf and ADCdiff of two distinctive VM types, the tubular type (Type I) and the patterned matrix type (Type II).

Figure 2. T2WI-drived tumor volume, ACDperf and ADCdiff of 2 types of VM at baseline, 1hr and 12hr post CA4P treatment.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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