Navid Farr1, Paolo Provenzano2, Joshua Park3, Sunil Hingorani2, and Donghoon Lee3
1Department of Bioengineering, University of Washington, Seattle, WA, United States, 2Fred Hutchinson Cancer Research Center, Seattle, WA, United States, 3Department of Radiology, University of Washington, Seattle, WA, United States
Synopsis
Pancreatic cancer is a devastating disease with poor
prognosis. Pancreatic tumor therapy has been ineffective in part because
pancreatic tumors have a dense stroma inhibiting penetration of
chemotherapeutic drugs into the tumor. We performed multi-parametric MRI at
high resolution to noninvasively assess tumor progression and responses to
effective treatment. We used T1 and T2 relaxation, diffusion, magnetization
transfer effects along with 3 dimensional volume measurements to characterize
the tumors. MR measurements were then compared with histopathological results.Purpose
Pancreatic
cancer is the fourth leading cause of cancer-related deaths in the United
States (1). The overall 5-year survival rate of
all types of pancreatic cancer is less than 5% (2). To date, most of the evaluation of the tumor stroma in
preclinical studies for pancreatic cancer has been performed post necropsy. One
major challenge with monitoring stromal changes in pancreatic tumors is the
inability to assess treatment efficacy in real-time and noninvasively. More
effective MRI biomarkers are needed to monitor treatment responses of
pancreatic tumors treated systematically with, for example, an enzymatic agent.
This study noninvasively assessed the degree of stromal depletion after
systemic injection of an enzymatic agent and correlated high resolution MRI
findings with interstitial fluid pressure (IFP) measurements and
histopathology.
Methods
We used a genetically engineered KPC mouse model
that has been recognized as the gold standard for human pancreatic cancer (3). We conducted multi-parametric MRI at 14T
(Paravision 5.1 software, Bruker Corp, Billerica, MA) to assess tumor
progression and responses to an effective therapy. Noninvasive MRI was performed for a tumor bearing KPC mouse treated
with an enzymatic agent (4) followed by chemotherapy. T2 relaxation, ADC values and tumor
volumes were longitudinally monitored over the course of the combination
treatment with PEGPH20 followed by gemcitabine.
Results and Discussion
A pre-treatment MRI was conducted as shown
in Figs. 1A, 1D and 1G. Following the pre-treatment MRI, the enzymatic agent
was injected followed by gemcitabine administration, both via tail vein, and
MRI was repeated 24 hours post injection to acquire quantitative images (Figs. 1B,
1E and 1H). Another set of MRIs were performed after 4 weeks of therapy to
obtain quantitative T2, ADC and volumes for the tumor (see Figs. 1C, 1F and 1I).
Tumor volumes were measured (87, 78 and 63 mL, respectively)
over the course of three time points showing clear evidence of tumor volume reduction.
This may also be due to interstitial pressure reduction and fluid mobilization in
tumors after the enzymatic agent administration. We plan to conduct systematic
studies with more KPC mice in the future to further investigate the
relationship of specific MRI parameters with tumoral changes including
perfusion, hydration level and interstitial fluid pressure.
Conclusions
Multi-parametric MRI utilizing T2, ADC and 3D volume
measurements has feasibility in identifying and monitoring the disease
progression and treatment responses in the KPC mouse model of pancreatic ductal
adenocarcinoma. Also, this noninvasive study demonstrated that the enzymatic
agent was effective for chemotherapy in treating the KPC mouse model of pancreatic
ductal adenocarcinoma.
Acknowledgements
This work was supported by NIH CA161112, CA188654 and EB008166.References
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