Daniel Coman1, Ryan J Slovak2,3, Fahmeed Hyder1,4,5, and Hyun S Kim1,2,5,6
1Radiology & Biomedical Imaging, Division of Bioimaging Sciences, Yale University School of Medicine, New Haven, CT, United States, 2Radiology & Biomedical Imaging, Section of Interventional Radiology, Yale University School of Medicine, New Haven, CT, United States, 3University of Connecticut School of Medicine, Farmington, CT, United States, 4Department of Biomedical Engineering, Yale University School of Medicine, New Haven, CT, United States, 5Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States, 6Department of Internal Medicine, Section of Medical Oncology, Yale University School of Medicine, New Haven, CT, United States
Synopsis
Acidification of tumor microenvironment
is associated with aggressive tumor growth and facilitate resistance to
anti-cancer therapies. Extracellular
pH (pHe) mapping with BIRDS is used to differentiate ablated
and non-ablated tumors in the setting of systemic immunotherapy of murine colorectal
cancer. Combination of Cryoablation with
Dual Immune Checkpoint Blockade (DICB) resulted in a significant pHe increase compared to control
tumors. This work
demonstrates the feasibility of measuring pHe with BIRDS in a murine
colorectal cancer model. pHe imaging could serve as a non-invasive imaging biomarker for
tumor microenvironment assessment and monitoring of metabolic changes after
immuno-thermal ablation therapy.
Introduction:
Colorectal cancer (CRC) is the third most common malignancy in the
world, the fourth most commonly diagnosed cancer and the second leading cause
of cancer-related death in the United States1. Cancer cells
possess a hyper-glycolytic metabolism even in the presence of sufficient oxygen
(“Warburg effect”). The result is the synthesis of large amounts of lactate and
hydrogen ions (i.e., protons) and their transfer into the extracellular space.
The consequent acidification of the tumor microenvironment due to the output of
protons and lactate is associated with aggressive tumor growth and potentially helps
facilitate resistance to anti-cancer therapies, e.g. by promoting immunoevasive
mechanisms. Biosensor Imaging of Redundant Deviation in Shifts (BIRDS) is a
non-invasive MRI modality that maps absolute extracellular pH (pHe)
by directly detecting paramagnetically shifted non-exchangeable protons of
lanthanide-based exogeneous agents2, 3. Previously it has
been used to characterize various tumors in the rat brain4-6 and to monitor the response to loco-regional treatment of liver cancer7. This study utilizes pHe mapping with BIRDS to differentiate ablated
and non-ablated tumors in the setting of systemic immunotherapy of murine CRC.Methods:
Sixteen CRC were
implanted in 8 BALB/c mice (Charles
River Laboratories, Wilmington, MA, USA) with bilateral flank injections of 0.5
x 106 CT26 WT CRC cells (CRL- 2638; ATCC, Manassas,
VA), and divided into 4 treatment groups randomly: Group 1 (SHAM) received
injections of sham antibodies (InVivoMAb IgG controls), Group 2 (DICB - Dual Immune
Checkpoint Blockade) was treated with anti-PD-1 and anti-CTLA-4 antibodies
(Clone J43 & Clone 9D9; BioXcell, West Lebanon, NH, USA), III), Group 3 (tCRYODICB)
with local Cryoablation in target tumors in left flank with systemic DICB and Group
4 (dCRYODICB) with systemic DICB without local Cryoablation in the distant
off-target tumor in the right flank. pHe mapping with
BIRDS was performed between 3 and 10 days after the initiation of treatment. A
dose of 0.5mmol/kg TmDOTP5- was slowly injected at a rate of 60µl/h
for 2 hours. The MR data was obtained on a 9.4T Bruker scanner (Billerica,
MA). The T2 weighted images were obtained using a FOV of 28x28mm2,
128x128 matrix, 12 slices of 1mm thickness, TR=4s and TE=20ms. The BIRDS data
was acquired using a 3D chemical shift imaging (CSI) sequence. Because
paramagnetic probes like TmDOTP5- possess extremely short T1
and T2 relaxation times (0.1-10ms) and wide bandwidths (±200ppm), an
ultrafast CSI sequence with short TR was used. Excitation was achieved using a
dual-band 200µs Shinnar-Le Roux (SLR) RF pulse which selectively excited the H2,
H3 and H6 peaks on either side of water. The CSI was acquired with a FOV of
23x15x17mm3, 659 spherical encoding steps, TR=5ms, 20min acquisition,
and reconstructed to 23x15x17 with a voxel resolution of 1x1x1mm3.
The pHe was calculated from the H2, H3 and H6 chemical shifts of
TmDOTP5-.2, 3Results:
An example of pHe mapping with BIRDS of a murine CRC model is shown in Fig.1. The CSI signals (red) were overlaid onto a
T2 weighted image (Fig.1A). The
chemical shifts of H2, H3 and H6 protons of TmDOTP5- (Fig.1B) were used to calculate the pHe
maps (Fig.1C). The results are summarized in
Fig.2. The average pHe of untreated tumors (SHAM;
pHe = 6.60 ± 0.13; n=5) was significantly lower
(p < 0.05) than the average pHe of tumors treated
with immuno-thermal ablation (tCRYODICB; pHe = 6.96 ± 0.04; n=3).
Among the mice in the ablation groups, the target tumors demonstrated
significantly lower acidity (p < 0.05) than the distant,
off-target tumors (dCRYODICB; pHe = 6.63 ± 0.10; n=4). The average
pHe of tumors treated only with dual checkpoint
inhibitors (DICB, pHe = 6.75 ± 0.01; n=2) was not significantly
different than any other groups (p > 0.05). Discussion:
We
used BIRDS to assess extracellular pH changes in the microenvironment of murine
CRC after immunotherapy with Immuno-Thermal Ablation. Immuno-Thermal
Ablation with DICB and Cryoablation resulted in a significant pHe increase toward normalization in target
murine CRC microenvironment compared to SHAM tumors (Fig.2)
indicating a positive treatment
outcome. A pHe increase was observed also in tumors treated only with DICB compared to SHAM tumors
(Fig.2). In this experiment, cryoablation and DICB did not
affect the microenvironment of distant off-target tumors, for which pHe
remained similar to that of DICB
treated only (Fig.2).Conclusion:
This
work demonstrates the feasibility of mapping pHe with BIRDS in a
murine CRC model after immunotherapy. pHe mapping could serve as a non-invasive imaging
biomarker for tumor microenvironment assessment and monitoring
of metabolic changes after immunotherapy with immuno-thermal ablation.Acknowledgements
This work was
supported by a grant from the Department of Defense (W81XWH-17-1-0505).References
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